Note: At this time, we only have Compressed County Mosaics (CCMs) for the NAIP 2024. When the DOQQ tiles become available the data will be posted here!
\r\n\r\nThis Ortho imagery dataset was acquired by the National Agriculture Imagery Program (NAIP) during the 2024 agricultural growing season and through the spring and summer of 2024 (May 2024 – November 2024), resulting in leaf-on conditions statewide in Texas. The entire dataset is available at 60-cm (2-foot) pixel resolution. This pixel resolution allows the user to identify features on the ground such as sheds, helipad markings, driveways, car ports, medians, and bike lanes. The entire dataset is available as a 4-band (RGBIR) product which allows the user to display the imagery in natural color (RGB) or color infrared (IRRG). Flight date is in each filename as YYYYMMDD, and each image tile covers one-4th of a USGS Digital Orthophoto Quad (DOQ), resulting in a DOQQ or approximately 16 square miles with minimum 300-meter buffers. All individual tile images are rectified in the UTM coordinate system, NAD 83, and cast into a single predetermined UTM zone. This dataset is also available for download as Compressed County Mosaics (CCMs).\r\n\r\nNAIP is administered by the USDA's Farm Service Agency (FSA) through the Aerial Photography Field Office (APFO) in Salt Lake City, Utah. The program was established to support FSA's strategic goals centered on agricultural production. The Ortho imagery is used as a base layer for GIS programs in FSA's County Service Centers including maintenance of the Common Land Unit (CLU) boundaries. However, there are many other potential uses and applications of NAIP data as a statewide base layer of imagery in Texas. NAIP imagery are used for a wide variety of purposes throughout the state including land use planning, natural resource assessment, energy production, transportation, emergency management, ecology, air quality monitoring, etc.\r\n\r\nNAIP acquisitions in Texas are contracted based on available funding and the FSA imagery acquisition cycle. Since 2008, NAIP statewide imagery have been acquired for Texas on a 2-year cycle. This refresh rate allows the user to conduct change detection studies that can be used to monitor climate patterns such as drought or to show the rate of man-made growth on the fringes of urban development.","partners":"","authoritative":false,"public":true,"known_issues":null,"wms_link":null,"s_three_key":"naip-2024-nccir-60cm-ccm","popup_link":null,"carto_map_id":null,"coverage_extent":null,"tags":null,"category":"Imagery","spatial_reference":"26913,26914,26915","file_type":"MrSID","resolution":"60cm","recommended_use":null,"resource_types":"NCCIR-CCM","data_types":"Raster","band_types":"NC,CIR","source_name":"United States Department of Agriculture","source_abbreviation":"USDA","source_website":"https://www.usda.gov/","source_data_website":"https://datagateway.nrcs.usda.gov/","source_contact":"usdanrcs@midatl.service-now.com","license_name":"Creative Commons Zero v1.0 Universal","license_abbreviation":"CC0-1.0","license_url":"https://spdx.org/licenses/CC0-1.0.html","template":"tnris-download","availability":"Download","counties":"Anderson, Andrews, Angelina, Aransas, Archer, Armstrong, Atascosa, Austin, Bailey, Bandera, Bastrop, Baylor, Bee, Bell, Bexar, Blanco, Borden, Bosque, Bowie, Brazoria, Brazos, Brewster, Briscoe, Brooks, Brown, Burleson, Burnet, Caldwell, Calhoun, Callahan, Cameron, Camp, Carson, Cass, Castro, Chambers, Cherokee, Childress, Clay, Cochran, Coke, Coleman, Collin, Collingsworth, Colorado, Comal, Comanche, Concho, Cooke, Coryell, Cottle, Crane, Crockett, Crosby, Culberson, Dallam, Dallas, Dawson, Deaf Smith, Delta, Denton, DeWitt, Dickens, Dimmit, Donley, Duval, Eastland, Ector, Edwards, Ellis, El Paso, Erath, Falls, Fannin, Fayette, Fisher, Floyd, Foard, Fort Bend, Franklin, Freestone, Frio, Gaines, Galveston, Garza, Gillespie, Glasscock, Goliad, Gonzales, Gray, Grayson, Gregg, Grimes, Guadalupe, Hale, Hall, Hamilton, Hansford, Hardeman, Hardin, Harris, Harrison, Hartley, Haskell, Hays, Hemphill, Henderson, Hidalgo, Hill, Hockley, Hood, Hopkins, Houston, Howard, Hudspeth, Hunt, Hutchinson, Irion, Jack, Jackson, Jasper, Jeff Davis, Jefferson, Jim Hogg, Jim Wells, Johnson, Jones, Karnes, Kaufman, Kendall, Kenedy, Kent, Kerr, Kimble, King, Kinney, Kleberg, Knox, Lamar, Lamb, Lampasas, La Salle, Lavaca, Lee, Leon, Liberty, Limestone, Lipscomb, Live Oak, Llano, Loving, Lubbock, Lynn, Madison, Marion, Martin, Mason, Matagorda, Maverick, McCulloch, McLennan, McMullen, Medina, Menard, Midland, Milam, Mills, Mitchell, Montague, Montgomery, Moore, Morris, Motley, Nacogdoches, Navarro, Newton, Nolan, Nueces, Ochiltree, Oldham, Orange, Palo Pinto, Panola, Parker, Parmer, Pecos, Polk, Potter, Presidio, Rains, Randall, Reagan, Real, Red River, Reeves, Refugio, Roberts, Robertson, Rockwall, Runnels, Rusk, Sabine, San Augustine, San Jacinto, San Patricio, San Saba, Schleicher, Scurry, Shackelford, Shelby, Sherman, Smith, Somervell, Starr, Stephens, Sterling, Stonewall, Sutton, Swisher, Tarrant, Taylor, Terrell, Terry, Throckmorton, Titus, Tom Green, Travis, Trinity, Tyler, Upshur, Upton, Uvalde, Val Verde, Van Zandt, Victoria, Walker, Waller, Ward, Washington, Webb, Wharton, Wheeler, Wichita, Wilbarger, Willacy, Williamson, Wilson, Winkler, Wise, Wood, Yoakum, Young, Zapata, Zavala","oe_service_names":null,"oe_service_urls":null},{"collection_id":"924d3c6f-9f74-4147-8044-d4025f12eac3","thumbnail_image":"https://data.geographic.texas.gov/924d3c6f-9f74-4147-8044-d4025f12eac3/assets/b0d80a05-679b-4d08-9132-fdaed1132636.jpg","images":"https://data.geographic.texas.gov/924d3c6f-9f74-4147-8044-d4025f12eac3/assets/b0d80a05-679b-4d08-9132-fdaed1132636.jpg,https://data.geographic.texas.gov/924d3c6f-9f74-4147-8044-d4025f12eac3/assets/c018c0e7-9b3d-4135-a3e7-2ee84f06d1a1.jpg,https://data.geographic.texas.gov/924d3c6f-9f74-4147-8044-d4025f12eac3/assets/eb751389-9bb9-4eea-bc6f-65543e005777.jpg","tile_index_url":"https://data.geographic.texas.gov/924d3c6f-9f74-4147-8044-d4025f12eac3/assets/texas-naip-imagery-tile-index.zip","supplemental_report_url":null,"lidar_breaklines_url":null,"lidar_buildings_url":null,"name":"Texas NAIP Imagery","acquisition_date":"2012-10-01","publication_date":"2019-04-01","short_description":"The National Agriculture Imagery Program (NAIP) acquires aerial imagery during the agricultural growing seasons in the continental United States.","description":"This orthoimagery dataset was acquired by the National Agriculture Imagery Program (NAIP) during the 2012 agricultural growing season (April - October) during leaf-on conditions statewide in Texas. The entire dataset is available at 1-meter pixel resolution. This pixel resolution allows the user to identify features on the ground such as stock ponds, county and gravel roads, railroads and cropland. The entire dataset is available as a 4-band (RGBIR) product which allows the user to display the imagery in natural color (RGB) or color infrared (IRRG). Flight date is in each filename as YYYYMMDD, and each image tile covers one 4th of a USGS Digital Orthophoto Quad (DOQ) resulting in a DOQQ or approximately 16 square miles with minimum 300-meter buffers. These NAIP imagery products are also available as 3-band (RGB) natural color compressed county mosaics (CCMs). CCMs are generated by compressing the DOQQ image tiles into a single mosaic per county. All individual tile images and the resulting mosaic are rectified in the UTM coordinate system, NAD 83, and cast into a single predetermined UTM zone.\r\n\r\nNAIP is administered by the USDA's Farm Service Agency (FSA) through the Aerial Photography Field Office (APFO) in Salt Lake City. The program was established to support FSA's strategic goals centered on agricultural production. The orthoimagery are used as a base layer for GIS programs in FSA's County Service Centers including maintenance of the Common Land Unit (CLU) boundaries. However, there are many other potential uses and applications of NAIP data as a statewide base layer of imagery in Texas. NAIP imagery are used for a wide variety of purposes throughout the state including land use planning, natural resource assessment, energy production, transportation, emergency management, ecology, air quality monitoring, etc. \r\n\r\nNAIP acquisitions in Texas are contracted based on available funding and the FSA imagery acquisition cycle. Since 2008, NAIP statewide imagery have been acquired for Texas on a 2-year cycle. This refresh rate allows the user to conduct change detection studies that can be used to monitor climate patterns such as drought or to show the rate of manmade growth on the fringes of urban development.\r\n\r\nNote: Aerial orthoimagery flown during leaf-on conditions can hinder the ability of the data user to identify manmade features through the deciduous tree canopy. Further, the distinction between evergreen and deciduous vegetation is very difficult using leaf-on imagery. \r\n\r\nOther links: https://www.fsa.usda.gov/programs-and-services/aerial-photography/imagery-programs/naip-imagery/\r\n\r\nNational Agriculture Imagery Program 2004-2022 Interactive Map","partners":"United States Department of Agriculture Farm Service Agency","authoritative":true,"public":true,"known_issues":"Only color balanced with 3 of 4 bands","wms_link":"https://imagery.geographic.texas.gov/server/services/NAIP/NAIP12_NCCIR_1m/ImageServer/WMSServer","s_three_key":"naip-2012-nc-cir-1m-ccm","popup_link":"https://imagery.geographic.texas.gov/server/rest/services/NAIP/NAIP12_NCCIR_1m/ImageServer?f=jsapi","carto_map_id":"d5084e86-dec9-11e4-afda-0e0c41326911","coverage_extent":"Texas","tags":"Texas, Statewide, National Agricultural Imagery Program, NAIP, United States Department of Agriculture, USDA, Natural Resources Conservation Service, NRCS, Natural Color, NC, Infrared, CIR, Mosaic, Orthoimagery, Aerial, Historical","category":"Imagery","spatial_reference":"26913,26914,26915","file_type":"JP2,MrSID,TIFF","resolution":"1m","recommended_use":null,"resource_types":"NC-CCM,NCCIR-DOQQ","data_types":"Raster","band_types":"NC,CIR","source_name":"United States Department of Agriculture","source_abbreviation":"USDA","source_website":"https://www.usda.gov/","source_data_website":"https://datagateway.nrcs.usda.gov/","source_contact":"usdanrcs@midatl.service-now.com","license_name":"Creative Commons Zero v1.0 Universal","license_abbreviation":"CC0-1.0","license_url":"https://spdx.org/licenses/CC0-1.0.html","template":"tnris-download","availability":"Download","counties":"Anderson, Andrews, Angelina, Aransas, Archer, Armstrong, Atascosa, Austin, Bailey, Bandera, Bastrop, Baylor, Bee, Bell, Bexar, Blanco, Borden, Bosque, Bowie, Brazoria, Brazos, Brewster, Briscoe, Brooks, Brown, Burleson, Burnet, Caldwell, Calhoun, Callahan, Cameron, Camp, Carson, Cass, Castro, Chambers, Cherokee, Childress, Clay, Cochran, Coke, Coleman, Collin, Collingsworth, Colorado, Comal, Comanche, Concho, Cooke, Coryell, Cottle, Crane, Crockett, Crosby, Culberson, Dallam, Dallas, Dawson, Deaf Smith, Delta, Denton, DeWitt, Dickens, Dimmit, Donley, Duval, Eastland, Ector, Edwards, Ellis, El Paso, Erath, Falls, Fannin, Fayette, Fisher, Floyd, Foard, Fort Bend, Franklin, Freestone, Frio, Gaines, Galveston, Garza, Gillespie, Glasscock, Goliad, Gonzales, Gray, Grayson, Gregg, Grimes, Guadalupe, Hale, Hall, Hamilton, Hansford, Hardeman, Hardin, Harris, Harrison, Hartley, Haskell, Hays, Hemphill, Henderson, Hidalgo, Hill, Hockley, Hood, Hopkins, Houston, Howard, Hudspeth, Hunt, Hutchinson, Irion, Jack, Jackson, Jasper, Jeff Davis, Jefferson, Jim Hogg, Jim Wells, Johnson, Jones, Karnes, Kaufman, Kendall, Kenedy, Kent, Kerr, Kimble, King, Kinney, Kleberg, Knox, Lamar, Lamb, Lampasas, La Salle, Lavaca, Lee, Leon, Liberty, Limestone, Lipscomb, Live Oak, Llano, Loving, Lubbock, Lynn, Madison, Marion, Martin, Mason, Matagorda, Maverick, McCulloch, McLennan, McMullen, Medina, Menard, Midland, Milam, Mills, Mitchell, Montague, Montgomery, Moore, Morris, Motley, Nacogdoches, Navarro, Newton, Nolan, Nueces, Ochiltree, Oldham, Orange, Palo Pinto, Panola, Parker, Parmer, Pecos, Polk, Potter, Presidio, Rains, Randall, Reagan, Real, Red River, Reeves, Refugio, Roberts, Robertson, Rockwall, Runnels, Rusk, Sabine, San Augustine, San Jacinto, San Patricio, San Saba, Schleicher, Scurry, Shackelford, Shelby, Sherman, Smith, Somervell, Starr, Stephens, Sterling, Stonewall, Sutton, Swisher, Tarrant, Taylor, Terrell, Terry, Throckmorton, Titus, Tom Green, Travis, Trinity, Tyler, Upshur, Upton, Uvalde, Val Verde, Van Zandt, Victoria, Walker, Waller, Ward, Washington, Webb, Wharton, Wheeler, Wichita, Wilbarger, Willacy, Williamson, Wilson, Winkler, Wise, Wood, Yoakum, Young, Zapata, Zavala","oe_service_names":null,"oe_service_urls":null},{"collection_id":"97a6ce2e-8a4c-4570-a3ed-983ef1a4554b","thumbnail_image":"https://data.geographic.texas.gov/97a6ce2e-8a4c-4570-a3ed-983ef1a4554b/assets/c0b8e44d-530e-44b1-99b8-886e42a0c7a8.webp","images":"https://data.geographic.texas.gov/97a6ce2e-8a4c-4570-a3ed-983ef1a4554b/assets/c0b8e44d-530e-44b1-99b8-886e42a0c7a8.webp","tile_index_url":null,"supplemental_report_url":"https://data.geographic.texas.gov/97a6ce2e-8a4c-4570-a3ed-983ef1a4554b/assets/national-land-cover-database-supplemental-report.zip","lidar_breaklines_url":null,"lidar_buildings_url":null,"name":"National Land Cover Database","acquisition_date":"2019-12-31","publication_date":"2022-05-23","short_description":null,"description":"The National Land Cover Database 2019 (NLCD 2019) is a national land cover product created by the Multi-Resolution Land Characteristics (MRLC) Consortium. The data have been clipped for Texas only. \r\n\r\nNLCD 2019 provides the capability to assess wall-to-wall, spatially explicit, national land cover changes and trends across the United States from 2001 to 2019. As with three previous NLCD land cover products NLCD 2019 keeps the same 16-class land cover classification scheme that has been applied consistently across the United States at a spatial resolution of 30 meters. NLCD 2019 is based on assembling and preprocessing Landsat imagery and geospatial ancillary datasets and a multi-source integrated training data development and machine learning based land cover classifications. \r\n\r\nMore information on Multi-Resolution Land Characteristics (MRLC) consortium\r\n\r\nCurrent National Land Cover Dataset (NLCD)","partners":"U.S. Department of Agriculture, U.S. Department of the Interior, National Oceanic and Atmospheric Administration, USGS, U.S. Forest Service, U.S. Environmental Protection Agency, National Park Service, US Fish and Wildlife Service","authoritative":false,"public":true,"known_issues":null,"wms_link":null,"s_three_key":"usgs-2019-national-land-cover-database","popup_link":null,"carto_map_id":null,"coverage_extent":null,"tags":null,"category":"Basemap,Land_Cover","spatial_reference":null,"file_type":"IMG","resolution":"30m","recommended_use":null,"resource_types":"LCR","data_types":"Raster","band_types":null,"source_name":"United States Geological Survey","source_abbreviation":"USGS","source_website":"https://www.usgs.gov/","source_data_website":"https://www.usgs.gov/products/maps/gis-data","source_contact":"tnm_help@usgs.gov","license_name":"Creative Commons Zero v1.0 Universal","license_abbreviation":"CC0-1.0","license_url":"https://spdx.org/licenses/CC0-1.0.html","template":"tnris-download","availability":"Download","counties":"Anderson, Andrews, Angelina, Aransas, Archer, Armstrong, Atascosa, Austin, Bailey, Bandera, Bastrop, Baylor, Bee, Bell, Bexar, Blanco, Borden, Bosque, Bowie, Brazoria, Brazos, Brewster, Briscoe, Brooks, Brown, Burleson, Burnet, Caldwell, Calhoun, Callahan, Cameron, Camp, Carson, Cass, Castro, Chambers, Cherokee, Childress, Clay, Cochran, Coke, Coleman, Collin, Collingsworth, Colorado, Comal, Comanche, Concho, Cooke, Coryell, Cottle, Crane, Crockett, Crosby, Culberson, Dallam, Dallas, Dawson, Deaf Smith, Delta, Denton, DeWitt, Dickens, Dimmit, Donley, Duval, Eastland, Ector, Edwards, Ellis, El Paso, Erath, Falls, Fannin, Fayette, Fisher, Floyd, Foard, Fort Bend, Franklin, Freestone, Frio, Gaines, Galveston, Garza, Gillespie, Glasscock, Goliad, Gonzales, Gray, Grayson, Gregg, Grimes, Guadalupe, Hale, Hall, Hamilton, Hansford, Hardeman, Hardin, Harris, Harrison, Hartley, Haskell, Hays, Hemphill, Henderson, Hidalgo, Hill, Hockley, Hood, Hopkins, Houston, Howard, Hudspeth, Hunt, Hutchinson, Irion, Jack, Jackson, Jasper, Jeff Davis, Jefferson, Jim Hogg, Jim Wells, Johnson, Jones, Karnes, Kaufman, Kendall, Kenedy, Kent, Kerr, Kimble, King, Kinney, Kleberg, Knox, Lamar, Lamb, Lampasas, La Salle, Lavaca, Lee, Leon, Liberty, Limestone, Lipscomb, Live Oak, Llano, Loving, Lubbock, Lynn, Madison, Marion, Martin, Mason, Matagorda, Maverick, McCulloch, McLennan, McMullen, Medina, Menard, Midland, Milam, Mills, Mitchell, Montague, Montgomery, Moore, Morris, Motley, Nacogdoches, Navarro, Newton, Nolan, Nueces, Ochiltree, Oldham, Orange, Palo Pinto, Panola, Parker, Parmer, Pecos, Polk, Potter, Presidio, Rains, Randall, Reagan, Real, Red River, Reeves, Refugio, Roberts, Robertson, Rockwall, Runnels, Rusk, Sabine, San Augustine, San Jacinto, San Patricio, San Saba, Schleicher, Scurry, Shackelford, Shelby, Sherman, Smith, Somervell, Starr, Stephens, Sterling, Stonewall, Sutton, Swisher, Tarrant, Taylor, Terrell, Terry, Throckmorton, Titus, Tom Green, Travis, Trinity, Tyler, Upshur, Upton, Uvalde, Val Verde, Van Zandt, Victoria, Walker, Waller, Ward, Washington, Webb, Wharton, Wheeler, Wichita, Wilbarger, Willacy, Williamson, Wilson, Winkler, Wise, Wood, Yoakum, Young, Zapata, Zavala","oe_service_names":null,"oe_service_urls":null},{"collection_id":"a20b15ad-418a-45a0-ac88-276ccc40fba9","thumbnail_image":"https://data.geographic.texas.gov/a20b15ad-418a-45a0-ac88-276ccc40fba9/assets/38371ed6-991f-4e43-9ffd-f104da824173.webp","images":"https://data.geographic.texas.gov/a20b15ad-418a-45a0-ac88-276ccc40fba9/assets/38371ed6-991f-4e43-9ffd-f104da824173.webp","tile_index_url":null,"supplemental_report_url":null,"lidar_breaklines_url":null,"lidar_buildings_url":null,"name":"Texas Imagery Service","acquisition_date":"2020-07-03","publication_date":"2019-04-01","short_description":null,"description":"The Texas Imagery Service is subscription based program, designed to provide high resolution imagery showing the entire state of Texas with the most recent coverage. The Service provides continuous 6-inch natural color imagery for use in mapping and computer-aided design (CAD) applications through OGC compliant Web Map Tile Service (WMTS) and Web Map Service (WMS) links. The Texas Imagery Service is available for all state, regional and local governments in Texas, including their contractors.","partners":"","authoritative":false,"public":true,"known_issues":null,"wms_link":null,"s_three_key":null,"popup_link":null,"carto_map_id":null,"coverage_extent":null,"tags":null,"category":"Imagery","spatial_reference":"3857","file_type":"JP2","resolution":"6in","recommended_use":null,"resource_types":null,"data_types":null,"band_types":null,"source_name":"Texas Imagery Service","source_abbreviation":"TIS","source_website":"https://geographic.texas.gov/","source_data_website":"https://geographic.texas.gov/texas-imagery-service","source_contact":"stratmap@twdb.texas.gov","license_name":"Creative Commons Zero v1.0 Universal","license_abbreviation":"CC0-1.0","license_url":"https://spdx.org/licenses/CC0-1.0.html","template":"outside-entity","availability":"External_Link","counties":"Anderson, Andrews, Angelina, Aransas, Archer, Armstrong, Atascosa, Austin, Bailey, Bandera, Bastrop, Baylor, Bee, Bell, Bexar, Blanco, Borden, Bosque, Bowie, Brazoria, Brazos, Brewster, Briscoe, Brooks, Brown, Burleson, Burnet, Caldwell, Calhoun, Callahan, Cameron, Camp, Carson, Cass, Castro, Chambers, Cherokee, Childress, Clay, Cochran, Coke, Coleman, Collin, Collingsworth, Colorado, Comal, Comanche, Concho, Cooke, Coryell, Cottle, Crane, Crockett, Crosby, Culberson, Dallam, Dallas, Dawson, Deaf Smith, Delta, Denton, DeWitt, Dickens, Dimmit, Donley, Duval, Eastland, Ector, Edwards, Ellis, El Paso, Erath, Falls, Fannin, Fayette, Fisher, Floyd, Foard, Fort Bend, Franklin, Freestone, Frio, Gaines, Galveston, Garza, Gillespie, Glasscock, Goliad, Gonzales, Gray, Grayson, Gregg, Grimes, Guadalupe, Hale, Hall, Hamilton, Hansford, Hardeman, Hardin, Harris, Harrison, Hartley, Haskell, Hays, Hemphill, Henderson, Hidalgo, Hill, Hockley, Hood, Hopkins, Houston, Howard, Hudspeth, Hunt, Hutchinson, Irion, Jack, Jackson, Jasper, Jeff Davis, Jefferson, Jim Hogg, Jim Wells, Johnson, Jones, Karnes, Kaufman, Kendall, Kenedy, Kent, Kerr, Kimble, King, Kinney, Kleberg, Knox, Lamar, Lamb, Lampasas, La Salle, Lavaca, Lee, Leon, Liberty, Limestone, Lipscomb, Live Oak, Llano, Loving, Lubbock, Lynn, Madison, Marion, Martin, Mason, Matagorda, Maverick, McCulloch, McLennan, McMullen, Medina, Menard, Midland, Milam, Mills, Mitchell, Montague, Montgomery, Moore, Morris, Motley, Nacogdoches, Navarro, Newton, Nolan, Nueces, Ochiltree, Oldham, Orange, Palo Pinto, Panola, Parker, Parmer, Pecos, Polk, Potter, Presidio, Rains, Randall, Reagan, Real, Red River, Reeves, Refugio, Roberts, Robertson, Rockwall, Runnels, Rusk, Sabine, San Augustine, San Jacinto, San Patricio, San Saba, Schleicher, Scurry, Shackelford, Shelby, Sherman, Smith, Somervell, Starr, Stephens, Sterling, Stonewall, Sutton, Swisher, Tarrant, Taylor, Terrell, Terry, Throckmorton, Titus, Tom Green, Travis, Trinity, Tyler, Upshur, Upton, Uvalde, Val Verde, Van Zandt, Victoria, Walker, Waller, Ward, Washington, Webb, Wharton, Wheeler, Wichita, Wilbarger, Willacy, Williamson, Wilson, Winkler, Wise, Wood, Yoakum, Young, Zapata, Zavala","oe_service_names":null,"oe_service_urls":null},{"collection_id":"a40c2ff9-ccac-4c76-99a1-2382c09cf716","thumbnail_image":"https://data.geographic.texas.gov/a40c2ff9-ccac-4c76-99a1-2382c09cf716/assets/4cbf0312-111a-4e54-b99e-996b2dfbf9c6.jpg","images":"https://data.geographic.texas.gov/a40c2ff9-ccac-4c76-99a1-2382c09cf716/assets/4cbf0312-111a-4e54-b99e-996b2dfbf9c6.jpg","tile_index_url":"https://data.geographic.texas.gov/a40c2ff9-ccac-4c76-99a1-2382c09cf716/assets/texas-naip-imagery-tile-index.zip","supplemental_report_url":"https://data.geographic.texas.gov/a40c2ff9-ccac-4c76-99a1-2382c09cf716/assets/texas-naip-imagery-supplemental-report.zip","lidar_breaklines_url":null,"lidar_buildings_url":null,"name":"Texas NAIP Imagery","acquisition_date":"2016-12-15","publication_date":"2019-04-01","short_description":"The National Agriculture Imagery Program (NAIP) acquires aerial imagery during the agricultural growing seasons in the continental United States.","description":"This orthoimagery dataset was acquired by the National Agriculture Imagery Program (NAIP) during the 2016 agricultural growing season (July - December) during leaf-on conditions statewide in Texas. The entire dataset is available at 1-meter pixel resolution. This pixel resolution allows the user to identify features on the ground such as stock ponds, county and gravel roads, railroads and cropland. The entire dataset is available as a 4-band (RGBIR) product which allows the user to display the imagery in natural color (RGB) or color infrared (IRRG). Flight date is in each filename as YYYYMMDD, and each image tile covers one 4th of a USGS Digital Orthophoto Quad (DOQ) resulting in a DOQQ or approximately 16 square miles with minimum 300-meter buffers. NAIP imagery products are also available as 3-band (RGB) natural color compressed county mosaics (CCMs). CCMs are generated by compressing the DOQQ image tiles into a single mosaic per county. All individual tile images and the resulting mosaic are rectified in the UTM coordinate system, NAD 83, and cast into a single predetermined UTM zone.\r\n\r\nNAIP is administered by the USDA's Farm Service Agency (FSA) through the Aerial Photography Field Office (APFO) in Salt Lake City. The program was established to support FSA's strategic goals centered on agricultural production. The orthoimagery are used as a base layer for GIS programs in FSA's County Service Centers including maintenance of the Common Land Unit (CLU) boundaries. However, there are many other potential uses and applications of NAIP data as a statewide base layer of imagery in Texas. NAIP imagery are used for a wide variety of purposes throughout the state including land use planning, natural resource assessment, energy production, transportation, emergency management, ecology, air quality monitoring, etc. \r\n\r\nNAIP acquisitions in Texas are contracted based on available funding and the FSA imagery acquisition cycle. Since 2008, NAIP statewide imagery have been acquired for Texas on a 2-year cycle. This refresh rate allows the user to conduct change detection studies that can be used to monitor climate patterns such as drought or to show the rate of manmade growth on the fringes of urban development.\r\n\r\nNotes: 1) Per FSA, full coverage along the TX/MX border is not available in some areas and some DOQQ tiles may contain black nodata areas along the TX/MX border. 2) A fifth band of null values was created during the conversion from the uncompressed GeoTIFFs to the compressed lossless JPEG2000s. The conversion was performed in ERDAS Imagine which does not exhibit the fifth band. The fifth band is however revealed in ArcGIS and should be ignored. 3) Aerial orthoimagery flown during leaf-on conditions can hinder the ability of the data user to identify manmade features through the deciduous tree canopy. Further, the distinction between evergreen and deciduous vegetation is very difficult using leaf-on imagery. \r\n\r\nOther links:\r\nhttps://www.fsa.usda.gov/programs-and-services/aerial-photography/imagery-programs/naip-imagery/\r\n\r\nNational Agriculture Imagery Program 2004-2022 Interactive Map","partners":"United States Department of Agriculture Farm Service Agency","authoritative":true,"public":true,"known_issues":"no full TX/MX border coverage","wms_link":"https://imagery.geographic.texas.gov/server/services/NAIP/NAIP16_NCCIR_1m/ImageServer/WMSServer","s_three_key":"naip-2016-nc-cir-1m","popup_link":"https://imagery.geographic.texas.gov/server/rest/services/NAIP/NAIP16_NCCIR_1m/ImageServer?f=jsapi","carto_map_id":"d5084e86-dec9-11e4-afda-0e0c41326911","coverage_extent":"Texas","tags":"Texas, Statewide, National Agricultural Imagery Program, NAIP, United States Department of Agriculture, USDA, Natural Resources Conservation Service, NRCS, Natural Color, NC, Infrared, CIR, Mosaic, 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The entire dataset is available at 1-meter pixel resolution. This pixel resolution allows the user to identify features on the ground such as stock ponds, county and gravel roads, railroads and cropland. The entire dataset is available as a 3-band (IRRG) product which allows the user to display the imagery in color infrared (IRRG). Flight date is in each seamline shapefile and at the end of each filename as YYYYMMDD. Each image tile covers one 4th of a USGS Digital Orthophoto Quad (DOQ) resulting in a DOQQ or approximately 16 square miles with minimum 300-meter buffers. NAIP imagery products are available as compressed county mosaics (CCMs). CCMs are generated by compressing the Digital Orthophoto Quarter-Quad (DOQQ) image tiles into a single mosaic per county. 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NAIP imagery are used for a wide variety of purposes throughout the state including land use planning, natural resource assessment, energy production, transportation, emergency management, ecology, air quality monitoring, etc. \r\n\r\nNAIP acquisitions in Texas are contracted based on available funding and the FSA imagery acquisition cycle. Since 2008, NAIP statewide imagery have been acquired for Texas on a 2-year cycle. This refresh rate allows the user to conduct change detection studies that can be used to monitor climate patterns such as drought or to show the rate of manmade growth on the fringes of urban development.\r\n\r\nNote: Aerial orthoimagery flown during leaf-on conditions can hinder the ability of the data user to identify manmade features through the deciduous tree canopy. 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Cochran, Coke, Coleman, Collin, Collingsworth, Colorado, Comal, Comanche, Concho, Cooke, Coryell, Cottle, Crane, Crockett, Crosby, Culberson, Dallam, Dallas, Dawson, Deaf Smith, Delta, Denton, DeWitt, Dickens, Dimmit, Donley, Duval, Eastland, Ector, Edwards, Ellis, El Paso, Erath, Falls, Fannin, Fayette, Fisher, Floyd, Foard, Fort Bend, Franklin, Freestone, Frio, Gaines, Galveston, Garza, Gillespie, Glasscock, Goliad, Gonzales, Gray, Grayson, Gregg, Grimes, Guadalupe, Hale, Hall, Hamilton, Hansford, Hardeman, Hardin, Harris, Harrison, Hartley, Haskell, Hays, Hemphill, Henderson, Hidalgo, Hill, Hockley, Hood, Hopkins, Houston, Howard, Hudspeth, Hunt, Hutchinson, Irion, Jack, Jackson, Jasper, Jeff Davis, Jefferson, Jim Hogg, Jim Wells, Johnson, Jones, Karnes, Kaufman, Kendall, Kenedy, Kent, Kerr, Kimble, King, Kinney, Kleberg, Knox, Lamar, Lamb, Lampasas, La Salle, Lavaca, Lee, Leon, Liberty, Limestone, Lipscomb, Live Oak, Llano, Loving, Lubbock, Lynn, Madison, Marion, Martin, Mason, 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Zavala","oe_service_names":null,"oe_service_urls":null},{"collection_id":"aa5183ca-a1bd-4b5f-9b63-4ba48d01b83d","thumbnail_image":"https://data.geographic.texas.gov/aa5183ca-a1bd-4b5f-9b63-4ba48d01b83d/assets/728fafd0-d178-48bd-8d1a-c6b5ce625cea.png","images":"https://data.geographic.texas.gov/aa5183ca-a1bd-4b5f-9b63-4ba48d01b83d/assets/23fbcbfb-b340-47cf-a45b-c23c1e0dbcbd.png,https://data.geographic.texas.gov/aa5183ca-a1bd-4b5f-9b63-4ba48d01b83d/assets/64d44417-3821-456b-a578-37b77f22dab1.png,https://data.geographic.texas.gov/aa5183ca-a1bd-4b5f-9b63-4ba48d01b83d/assets/728fafd0-d178-48bd-8d1a-c6b5ce625cea.png,https://data.geographic.texas.gov/aa5183ca-a1bd-4b5f-9b63-4ba48d01b83d/assets/b26d8acd-7ab8-4d16-baba-a46cffdf37d7.png,https://data.geographic.texas.gov/aa5183ca-a1bd-4b5f-9b63-4ba48d01b83d/assets/b33e039e-454d-43a1-ad9e-97163f718bbc.png","tile_index_url":"https://data.geographic.texas.gov/aa5183ca-a1bd-4b5f-9b63-4ba48d01b83d/assets/texas-naip-imagery-tile-index.zip","supplemental_report_url":null,"lidar_breaklines_url":null,"lidar_buildings_url":null,"name":"Texas NAIP Imagery","acquisition_date":"2020-04-01","publication_date":"2021-03-31","short_description":null,"description":"USDA Nationwide ArcGIS Service - https://gis.apfo.usda.gov/arcgis/rest/services\r\nUSDA Nationwide WMS - https://gis.apfo.usda.gov/arcgis/services/NAIP/USDA_CONUS_PRIME/ImageServer/WMSServer\r\n\r\nThis orthoimagery dataset was acquired by the National Agriculture Imagery Program (NAIP) during the 2020 agricultural growing season and through the spring and winter of 2020 (April 2020 – December 2020), resulting in a mix of leaf-on/leaf-off conditions statewide in Texas. The entire dataset is available at 60-cm (2-foot) pixel resolution. This pixel resolution allows the user to identify features on the ground such as sheds, helipad markings, driveways, car ports, medians, and bike lanes. The entire dataset is available as both natural color (RGB) or color infrared (IRRG) Compressed County Mosiacs (CCMs). \r\n\r\nNAIP is administered by the USDA's Farm Service Agency (FSA) through the Aerial Photography Field Office (APFO) in Salt Lake City, Utah. The program was established to support FSA's strategic goals centered on agricultural production. The orthoimagery are used as a base layer for GIS programs in FSA's County Service Centers including maintenance of the Common Land Unit (CLU) boundaries. However, there are many other potential uses and applications of NAIP data as a statewide base layer of imagery in Texas. 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Somervell, Starr, Stephens, Sterling, Stonewall, Sutton, Swisher, Tarrant, Taylor, Terrell, Terry, Throckmorton, Titus, Tom Green, Travis, Trinity, Tyler, Upshur, Upton, Uvalde, Val Verde, Van Zandt, Victoria, Walker, Waller, Ward, Washington, Webb, Wharton, Wheeler, Wichita, Wilbarger, Willacy, Williamson, Wilson, Winkler, Wise, Wood, Yoakum, Young, Zapata, 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acquires aerial imagery during the agricultural growing seasons in the continental United States.","description":"This orthoimagery dataset was acquired by the National Agriculture Imagery Program (NAIP) during the 2008 agricultural growing season (April - October) during leaf-on conditions near statewide in Texas (excluding East Texas). The entire dataset is available at 1-meter pixel resolution. This pixel resolution allows the user to identify features on the ground such as stock ponds, county and gravel roads, railroads and cropland. The entire dataset is available as a 4-band (RGBIR) product which allows the user to display the imagery in natural color (RGB) or color infrared (IRRG). Flight date is in each seamline shapefile. NAIP imagery products are available as compressed county mosaics (CCMs). CCMs are generated by compressing the Digital Orthophoto Quarter-Quad (DOQQ) image tiles into a single mosaic per county. For this dataset, the matching DOQQ tiles are available in the 2008 TOP Imagery dataset. All individual tile images and the resulting mosaic are rectified in the UTM coordinate system, NAD 83, and cast into a single predetermined UTM zone.\r\n\r\nNAIP is administered by the USDA's Farm Service Agency (FSA) through the Aerial Photography Field Office (APFO) in Salt Lake City. The program was established to support FSA's strategic goals centered on agricultural production. The orthoimagery are used as a base layer for GIS programs in FSA's County Service Centers including maintenance of the Common Land Unit (CLU) boundaries. However, there are many other potential uses and applications of NAIP data as a statewide base layer of imagery in Texas. NAIP imagery are used for a wide variety of purposes throughout the state including land use planning, natural resource assessment, energy production, transportation, emergency management, ecology, air quality monitoring, etc. \r\n\r\nNAIP acquisitions in Texas are contracted based on available funding and the FSA imagery acquisition cycle. Since 2008, NAIP statewide imagery have been acquired for Texas on a 2-year cycle. This refresh rate allows the user to conduct change detection studies that can be used to monitor climate patterns such as drought or to show the rate of manmade growth on the fringes of urban development.\r\n\r\nNote: Aerial orthoimagery flown during leaf-on conditions can hinder the ability of the data user to identify manmade features through the deciduous tree canopy. Further, the distinction between evergreen and deciduous vegetation is very difficult using leaf-on imagery. \r\n\r\nOther links:\r\nhttps://www.fsa.usda.gov/programs-and-services/aerial-photography/imagery-programs/naip-imagery/\r\n\r\nNational Agriculture Imagery Program 2004-2022 Interactive Map","partners":"United States Department of Agriculture Farm Service Agency","authoritative":true,"public":true,"known_issues":"1m product replaced with TOP 2008","wms_link":null,"s_three_key":"naip-2008-cir-1m","popup_link":null,"carto_map_id":"7cc5a468-deeb-11e4-8cd4-0e018d66dc29","coverage_extent":"Texas","tags":"Texas, Statewide, National Agricultural Imagery Program, NAIP, United States Department of Agriculture, USDA, Natural Resources Conservation Service, NRCS, Natural Color, NC, Infrared, CIR, Mosaic, Orthoimagery, Aerial, Historical","category":"Imagery","spatial_reference":"26913,26914,26915","file_type":"JP2,TIFF","resolution":"1m","recommended_use":null,"resource_types":"NCCIR-CCM","data_types":"Raster","band_types":"NC,CIR","source_name":"United States Department of Agriculture","source_abbreviation":"USDA","source_website":"https://www.usda.gov/","source_data_website":"https://datagateway.nrcs.usda.gov/","source_contact":"usdanrcs@midatl.service-now.com","license_name":"Creative Commons Zero v1.0 Universal","license_abbreviation":"CC0-1.0","license_url":"https://spdx.org/licenses/CC0-1.0.html","template":"tnris-download","availability":"Download","counties":"Andrews, Aransas, Archer, Armstrong, Atascosa, Austin, Bailey, Bandera, Bastrop, Baylor, Bee, Bell, Bexar, Blanco, Borden, Bosque, Bowie, Brazoria, Brazos, Brewster, Briscoe, Brooks, Brown, Burleson, Burnet, Caldwell, Calhoun, Callahan, Cameron, Carson, Castro, Chambers, Childress, Clay, Cochran, Coke, Coleman, Collin, Collingsworth, Colorado, Comal, Comanche, Concho, Cooke, Coryell, Cottle, Crane, Crockett, Crosby, Culberson, Dallam, Dallas, Dawson, Deaf Smith, Delta, Denton, DeWitt, Dickens, Dimmit, Donley, Duval, Eastland, Ector, Edwards, Ellis, El Paso, Erath, Falls, Fannin, Fayette, Fisher, Floyd, Foard, Fort Bend, Freestone, Frio, Gaines, Galveston, Garza, Gillespie, Glasscock, Goliad, Gonzales, Gray, Grayson, Guadalupe, Hale, Hall, Hamilton, Hansford, Hardeman, Hartley, Haskell, Hays, Hemphill, Hidalgo, Hill, Hockley, Hood, Hopkins, Howard, Hudspeth, Hunt, Hutchinson, Irion, Jack, Jackson, Jeff Davis, Jim Hogg, Jim Wells, Johnson, Jones, Karnes, Kendall, Kenedy, Kent, Kerr, Kimble, King, Kinney, Kleberg, Knox, Lamar, Lamb, Lampasas, La Salle, Lavaca, Lee, Liberty, Limestone, Lipscomb, Live Oak, Llano, Loving, Lubbock, Lynn, Martin, Mason, Matagorda, Maverick, McCulloch, McLennan, McMullen, Medina, Menard, Midland, Milam, Mills, Mitchell, Montague, Moore, Motley, Navarro, Nolan, Nueces, Ochiltree, Oldham, Palo Pinto, Parker, Parmer, Pecos, Potter, Presidio, Randall, Reagan, Real, Red River, Reeves, Refugio, Roberts, Robertson, Rockwall, Runnels, San Patricio, San Saba, Schleicher, Scurry, Shackelford, Sherman, Somervell, Starr, Stephens, Sterling, Stonewall, Sutton","oe_service_names":null,"oe_service_urls":null},{"collection_id":"d28415b0-e933-4395-a66b-7d983a63abec","thumbnail_image":"https://data.geographic.texas.gov/d28415b0-e933-4395-a66b-7d983a63abec/assets/0c899c25-1b97-4994-be4e-6d1e2ed1c7e8.jpg","images":"https://data.geographic.texas.gov/d28415b0-e933-4395-a66b-7d983a63abec/assets/0c899c25-1b97-4994-be4e-6d1e2ed1c7e8.jpg,https://data.geographic.texas.gov/d28415b0-e933-4395-a66b-7d983a63abec/assets/0cb20444-7645-467c-8975-ffc41800abce.jpg,https://data.geographic.texas.gov/d28415b0-e933-4395-a66b-7d983a63abec/assets/3ee8f345-6c1d-47e8-a0dc-edc83308d2c5.jpg","tile_index_url":"https://data.geographic.texas.gov/d28415b0-e933-4395-a66b-7d983a63abec/assets/texas-naip-imagery-tile-index.zip","supplemental_report_url":null,"lidar_breaklines_url":null,"lidar_buildings_url":null,"name":"Texas NAIP Imagery","acquisition_date":"2009-01-01","publication_date":"2019-04-01","short_description":"The National Agriculture Imagery Program (NAIP) acquires aerial imagery during the agricultural growing seasons in the continental United States.","description":"This orthoimagery dataset was acquired by the National Agriculture Imagery Program (NAIP) during 2009 leaf-off conditions in East Texas. The entire dataset is available at 1-meter pixel resolution. This pixel resolution allows the user to identify features on the ground such as stock ponds, county and gravel roads, railroads and cropland. The entire dataset is available as a 4-band (RGBIR) product which allows the user to display the imagery in natural color (RGB) or color infrared (IRRG). Flight date is in each seamline shapefile. NAIP imagery products are available as compressed county mosaics (CCMs). CCMs are generated by compressing the Digital Orthophoto Quarter-Quad (DOQQ) image tiles into a single mosaic per county. For this dataset, the matching DOQQ tiles are available in the 2009 TOP Imagery dataset. All individual tile images and the resulting mosaic are rectified in the UTM coordinate system, NAD 83, and cast into a single predetermined UTM zone.\r\n\r\nNAIP is administered by the USDA's Farm Service Agency (FSA) through the Aerial Photography Field Office (APFO) in Salt Lake City. The program was established to support FSA's strategic goals centered on agricultural production. The orthoimagery are used as a base layer for GIS programs in FSA's County Service Centers including maintenance of the Common Land Unit (CLU) boundaries. However, there are many other potential uses and applications of NAIP data as a statewide base layer of imagery in Texas. NAIP imagery are used for a wide variety of purposes throughout the state including land use planning, natural resource assessment, energy production, transportation, emergency management, ecology, air quality monitoring, etc. \r\n\r\nNAIP acquisitions in Texas are contracted based on available funding and the FSA imagery acquisition cycle. Since 2008, NAIP statewide imagery have been acquired for Texas on a 2-year cycle. This refresh rate allows the user to conduct change detection studies that can be used to monitor climate patterns such as drought or to show the rate of manmade growth on the fringes of urban development.\r\n\r\nOther links:\r\nhttps://www.fsa.usda.gov/programs-and-services/aerial-photography/imagery-programs/naip-imagery/\r\n\r\nNational Agriculture Imagery Program 2004-2022 Interactive Map","partners":"United States Department of Agriculture Farm Service Agency","authoritative":true,"public":true,"known_issues":"1m product replaced with TOP 2009","wms_link":null,"s_three_key":"naip-2009-cir-1m","popup_link":null,"carto_map_id":"b5d2dd4c-deec-11e4-8b23-0e9d821ea90d","coverage_extent":"East Texas, Coastal","tags":"Texas, Statewide, National Agricultural Imagery Program, NAIP, United States Department of Agriculture, USDA, Natural Resources Conservation Service, NRCS, Natural Color, NC, Infrared, CIR, Mosaic, Orthoimagery, Aerial, Historical","category":"Imagery","spatial_reference":"26913,26914,26915","file_type":"JP2,TIFF","resolution":"1m","recommended_use":null,"resource_types":"NCCIR-CCM","data_types":"Raster","band_types":"NC,CIR","source_name":"United States Department of Agriculture","source_abbreviation":"USDA","source_website":"https://www.usda.gov/","source_data_website":"https://datagateway.nrcs.usda.gov/","source_contact":"usdanrcs@midatl.service-now.com","license_name":"Creative Commons Zero v1.0 Universal","license_abbreviation":"CC0-1.0","license_url":"https://spdx.org/licenses/CC0-1.0.html","template":"tnris-download","availability":"Download","counties":"Anderson, Angelina, Camp, Cass, Cherokee, Franklin, Gregg, Grimes, Hardin, Harris, Harrison, Henderson, Houston, Jasper, Jefferson, Kaufman, Leon, Madison, Marion, Montgomery, Morris, Nacogdoches, Newton, Orange, Panola, Polk, Rains, Rusk, Sabine, San Augustine, San Jacinto, Shelby, Smith, Titus, Trinity, Tyler, Upshur, Van Zandt, Walker, Waller, Wood","oe_service_names":null,"oe_service_urls":null},{"collection_id":"d9f379cf-218a-4e0f-9578-e2d82b82b156","thumbnail_image":"https://data.geographic.texas.gov/d9f379cf-218a-4e0f-9578-e2d82b82b156/assets/308838cc-46a3-42da-9da3-bccaa9e341c2.jpg","images":"https://data.geographic.texas.gov/d9f379cf-218a-4e0f-9578-e2d82b82b156/assets/308838cc-46a3-42da-9da3-bccaa9e341c2.jpg,https://data.geographic.texas.gov/d9f379cf-218a-4e0f-9578-e2d82b82b156/assets/3c89dea9-797f-4768-81bc-342ebee7db5b.jpg,https://data.geographic.texas.gov/d9f379cf-218a-4e0f-9578-e2d82b82b156/assets/bc96eea1-4a6b-4be5-ae1a-561c9fcb0af7.jpg","tile_index_url":"https://data.geographic.texas.gov/d9f379cf-218a-4e0f-9578-e2d82b82b156/assets/galveston-imagery-tile-index.zip","supplemental_report_url":"https://data.geographic.texas.gov/d9f379cf-218a-4e0f-9578-e2d82b82b156/assets/galveston-imagery-supplemental-report.zip","lidar_breaklines_url":null,"lidar_buildings_url":null,"name":"Galveston Imagery","acquisition_date":"2009-05-28","publication_date":"2019-04-01","short_description":"The 6-inch orthoimagery were acquired in May 2009 during leaf-on conditions. The dataset covers Galveston Island and adjacent coastal areas north and south of the island.","description":"This orthoimagery dataset was acquired by Kucera International in May 2009. The entire dataset is available at 6-inch pixel resolution. This pixel resolution allows the user to identify detailed features on the ground such as road centerlines, manholes, and culverts. The entire dataset is available as a 4-band (RGBIR) product which allows the user to display the imagery in natural color (RGB) or color infrared (IRRG). Each image tile covers one-16th of a USGS Digital Orthophoto Quad (DOQ), resulting in a DO3Q or approximately 4 square miles with minimum 300-foot buffers. \r\n\r\nAlthough this orthoimagery has many other potential uses and applications, the data were originally developed for foresters to determine the loss of tree canopy in Galveston, TX due to Hurricane Ike. The Texas Forest Service, in cooperation with the City of Galveston, observed widespread mortality of trees due to the salty storm surge caused by Hurricane Ike in September 2008. The new post-storm imagery was used to compare with existing pre-storm, leaf-on imagery to calculate the total loss of tree canopy within the historic footprint of the city.\r\n\r\nFunding for this orthoimagery dataset was provided by two state entities. Kucera International was selected under the 2009 - 2015 High Priority Imagery and Data Sets (HPIDS) state contract administered by the TxGIO StratMap Program. For this project, the TxGIO StratMap Program provided project coordination and management services. TxGIO also performed quality assurance/quality control which included inspection of interim and final orthoimagery products.\r\n\r\nOther links:\r\nhttp://www.kucerainternational.com/","partners":"Texas Forest Service, Texas General Land Office","authoritative":true,"public":true,"known_issues":"None","wms_link":null,"s_three_key":"stratmap-2009-nccir-6in-galveston","popup_link":null,"carto_map_id":"f2a194a8-dee6-11e4-9d17-0e9d821ea90d","coverage_extent":"Galveston Island and adjacent coastal areas north and south of the island. Area covered is approximately 60 square miles.","tags":"Galveston, County, Orthoimagery, Imagery, Aerial Photography, NC, Natural Color, CIR, Color Infrared, Historical","category":"Imagery","spatial_reference":"26915","file_type":"MrSID","resolution":"6in","recommended_use":null,"resource_types":"NCCIR-DOQQ","data_types":"Raster","band_types":"NC,CIR","source_name":"Texas Geographic Information Office","source_abbreviation":"TXGIO","source_website":"https://geographic.texas.gov/","source_data_website":"https://data.geographic.texas.gov/","source_contact":"","license_name":"Creative Commons Zero v1.0 Universal","license_abbreviation":"CC0-1.0","license_url":"https://spdx.org/licenses/CC0-1.0.html","template":"tnris-download","availability":"Download","counties":"Galveston","oe_service_names":null,"oe_service_urls":null},{"collection_id":"df508fc6-c18a-4044-b0f7-35f3b9f64c02","thumbnail_image":"https://data.geographic.texas.gov/df508fc6-c18a-4044-b0f7-35f3b9f64c02/assets/807f5fee-1063-4a13-86e3-0829f32cc6cc.jpg","images":"https://data.geographic.texas.gov/df508fc6-c18a-4044-b0f7-35f3b9f64c02/assets/807f5fee-1063-4a13-86e3-0829f32cc6cc.jpg,https://data.geographic.texas.gov/df508fc6-c18a-4044-b0f7-35f3b9f64c02/assets/a55edfd2-2146-4f38-a9c7-9bae85abe463.jpg,https://data.geographic.texas.gov/df508fc6-c18a-4044-b0f7-35f3b9f64c02/assets/e07cb777-d22a-4d32-a502-8fa372fbff09.jpg","tile_index_url":"https://data.geographic.texas.gov/df508fc6-c18a-4044-b0f7-35f3b9f64c02/assets/texas-naip-imagery-tile-index.zip","supplemental_report_url":null,"lidar_breaklines_url":null,"lidar_buildings_url":null,"name":"Texas NAIP Imagery","acquisition_date":"2006-10-06","publication_date":"2019-04-01","short_description":"The National Agriculture Imagery Program (NAIP) acquires aerial imagery during the agricultural growing seasons in the continental United States.","description":"This orthoimagery dataset was acquired by the National Agriculture Imagery Program (NAIP) during the 2006 agricultural growing season (May - October) during leaf-on conditions near statewide in Texas. The entire dataset is available at 2-meter pixel resolution. This pixel resolution allows the user to identify features on the ground such as larger roadways, individual houses, and cropland patterns. The entire dataset is available as a 3-band (IRRG) product which allows the user to display the imagery in color infrared (IRRG) only. Flight date is in each filename as MMDDYYYY, and each image tile covers one 4th of a USGS Digital Orthophoto Quad (DOQ) resulting in a DOQQ or approximately 16 square miles with minimum 300-meter buffers. This NAIP imagery product is also available as 3-band (IRRG) color infrared compressed county mosaics (CCMs). CCMs are generated by compressing the DOQQ image tiles into a single mosaic per county. All individual tile images and the resulting mosaic are rectified in the UTM coordinate system, NAD 83, and cast into a single predetermined UTM zone.\r\n\r\nNAIP is administered by the USDA's Farm Service Agency (FSA) through the Aerial Photography Field Office (APFO) in Salt Lake City. The program was established to support FSA's strategic goals centered on agricultural production. The orthoimagery are used as a base layer for GIS programs in FSA's County Service Centers including maintenance of the Common Land Unit (CLU) boundaries. However, there are many other potential uses and applications of NAIP data as a statewide base layer of imagery in Texas. NAIP imagery are used for a wide variety of purposes throughout the state including land use planning, natural resource assessment, energy production, transportation, emergency management, ecology, air quality monitoring, etc. \r\n\r\nNAIP acquisitions in Texas are contracted based on available funding and the FSA imagery acquisition cycle. Since 2008, NAIP statewide imagery have been acquired for Texas on a 2-year cycle. This refresh rate allows the user to conduct change detection studies that can be used to monitor climate patterns such as drought or to show the rate of manmade growth on the fringes of urban development.\r\n\r\nNote: Aerial orthoimagery flown during leaf-on conditions can hinder the ability of the data user to identify manmade features through the deciduous tree canopy. Further, the distinction between evergreen and deciduous vegetation is very difficult using leaf-on imagery. \r\n\r\nOther links:\r\nhttps://www.fsa.usda.gov/programs-and-services/aerial-photography/imagery-programs/naip-imagery/\r\n\r\nNational Agriculture Imagery Program 2004-2022 Interactive Map","partners":"United States Department of Agriculture Farm Service Agency","authoritative":true,"public":true,"known_issues":"Color balance, incomplete for Texas","wms_link":null,"s_three_key":"naip-2006-cir-2m-ccm","popup_link":null,"carto_map_id":"13b7bb6e-deeb-11e4-8aee-0e0c41326911","coverage_extent":"Texas","tags":"Texas, Statewide, National Agricultural Imagery Program, NAIP, United States Department of Agriculture, USDA, Natural Resources Conservation Service, NRCS, Color Infrared, CIR, Orthoimagery, Aerial, Historical","category":"Imagery","spatial_reference":"26913,26914,26915","file_type":"MrSID,TIFF","resolution":"2m","recommended_use":null,"resource_types":"CIR-CCM,CIR-DOQQ","data_types":"Raster","band_types":"CIR","source_name":"United States Department of Agriculture","source_abbreviation":"USDA","source_website":"https://www.usda.gov/","source_data_website":"https://datagateway.nrcs.usda.gov/","source_contact":"usdanrcs@midatl.service-now.com","license_name":"Creative Commons Zero v1.0 Universal","license_abbreviation":"CC0-1.0","license_url":"https://spdx.org/licenses/CC0-1.0.html","template":"tnris-download","availability":"Download","counties":"Anderson, Andrews, Aransas, Archer, Armstrong, Atascosa, Austin, Bailey, Bandera, Bastrop, Baylor, Bee, Bell, Bexar, Blanco, Borden, Bosque, Brazoria, Brazos, Brewster, Briscoe, Brooks, Brown, Burleson, Burnet, Calhoun, Callahan, Cameron, Carson, Castro, Chambers, Cherokee, Childress, Clay, Cochran, Coke, Coleman, Collin, Collingsworth, Colorado, Comal, Comanche, Concho, Cooke, Coryell, Cottle, Crane, Crockett, Crosby, Culberson, Dallam, Dallas, Dawson, Deaf Smith, Delta, Denton, DeWitt, Dickens, Dimmit, Donley, Duval, Eastland, Ector, Edwards, Ellis, El Paso, Erath, Falls, Fannin, Fayette, Fisher, Floyd, Foard, Fort Bend, Franklin, Freestone, Frio, Gaines, Galveston, Garza, Gillespie, Glasscock, Goliad, Gray, Grayson, Grimes, Guadalupe, Hale, Hall, Hamilton, Hansford, Hardeman, Hardin, Harris, Hartley, Haskell, Hays, Hemphill, Henderson, Hidalgo, Hill, Hockley, Hood, Hopkins, Houston, Howard, Hudspeth, Hunt, Hutchinson, Irion, Jack, Jackson, Jasper, Jeff Davis, Jefferson, Jim Hogg, Jim Wells, Johnson, Jones, Karnes, Kaufman, Kendall, Kenedy, Kent, Kerr, Kimble, King, Kinney, Kleberg, Knox, Lamar, Lamb, Lampasas, La Salle, Lee, Leon, Liberty, Limestone, Lipscomb, Live Oak, Llano, Loving, Lubbock, Lynn, Madison, Martin, Mason, Matagorda, Maverick, McCulloch, McLennan, McMullen, Medina, Menard, Midland, Milam, Mills, Mitchell, Montague, Montgomery, Moore, Motley, Navarro, Newton, Nolan, Nueces, Ochiltree, Oldham, Orange, Palo Pinto, Parker, Parmer, Pecos, Polk, Potter, Presidio, Rains, Randall, Reagan, Real, Red River, Reeves, Refugio, Roberts, Robertson, Rockwall, Runnels, Sabine, San Augustine, San Jacinto, San Patricio, San Saba, Schleicher, Scurry, Shackelford, Shelby, Sherman, Smith, Somervell, Starr, Stephens, Sterling, Stonewall, Sutton, Swisher, Tarrant, Taylor, Terrell, Terry, Throckmorton, Tom Green, Travis, Trinity, Tyler, Upton, Uvalde, Val Verde, Van Zandt, Victoria, Walker, Waller, Ward, Washington, Webb, Wharton, Wheeler, Wichita, Wilbarger, Willacy, Williamson, Wilson, Winkler, Wise, Wood, Yoakum, Young, Zapata, Zavala","oe_service_names":null,"oe_service_urls":null},{"collection_id":"e7d2ccee-5288-4257-85bc-e4a2babf91ee","thumbnail_image":"https://data.geographic.texas.gov/e7d2ccee-5288-4257-85bc-e4a2babf91ee/assets/01afb21f-c77f-4be9-bddd-60da4f962b40.jpg","images":"https://data.geographic.texas.gov/e7d2ccee-5288-4257-85bc-e4a2babf91ee/assets/01afb21f-c77f-4be9-bddd-60da4f962b40.jpg,https://data.geographic.texas.gov/e7d2ccee-5288-4257-85bc-e4a2babf91ee/assets/2380c960-ed6e-4d62-8064-5db4dba8a7d9.jpg,https://data.geographic.texas.gov/e7d2ccee-5288-4257-85bc-e4a2babf91ee/assets/3c607753-b8d0-489a-b6b8-2aa384dc3350.jpg","tile_index_url":"https://data.geographic.texas.gov/e7d2ccee-5288-4257-85bc-e4a2babf91ee/assets/texas-naip-imagery-tile-index.zip","supplemental_report_url":null,"lidar_breaklines_url":null,"lidar_buildings_url":null,"name":"Texas NAIP Imagery","acquisition_date":"2014-10-31","publication_date":"2019-04-01","short_description":"The National Agriculture Imagery Program (NAIP) acquires aerial imagery during the agricultural growing seasons in the continental United States.","description":"This orthoimagery dataset was acquired by the National Agriculture Imagery Program (NAIP) during the 2014 agricultural growing season (April - October) during leaf-on conditions statewide in Texas. The entire dataset is available at 1-meter pixel resolution. This pixel resolution allows the user to identify features on the ground such as stock ponds, county and gravel roads, railroads and cropland. The entire dataset is available as a 4-band (RGBIR) product which allows the user to display the imagery in natural color (RGB) or color infrared (IRRG). Flight date is in each filename as YYYYMMDD, and each image tile covers one 4th of a USGS Digital Orthophoto Quad (DOQ) resulting in a DOQQ or approximately 16 square miles with minimum 300-meter buffers. NAIP imagery products are also available as 3-band (RGB) natural color compressed county mosaics (CCMs). CCMs are generated by compressing the DOQQ image tiles into a single mosaic per county. All individual tile images and the resulting mosaic are rectified in the UTM coordinate system, NAD 83, and cast into a single predetermined UTM zone.\r\n\r\nNAIP is administered by the USDA's Farm Service Agency (FSA) through the Aerial Photography Field Office (APFO) in Salt Lake City. The program was established to support FSA's strategic goals centered on agricultural production. The orthoimagery are used as a base layer for GIS programs in FSA's County Service Centers including maintenance of the Common Land Unit (CLU) boundaries. However, there are many other potential uses and applications of NAIP data as a statewide base layer of imagery in Texas. NAIP imagery are used for a wide variety of purposes throughout the state including land use planning, natural resource assessment, energy production, transportation, emergency management, ecology, air quality monitoring, etc. \r\n\r\nNAIP acquisitions in Texas are contracted based on available funding and the FSA imagery acquisition cycle. Since 2008, NAIP statewide imagery have been acquired for Texas on a 2-year cycle. This refresh rate allows the user to conduct change detection studies that can be used to monitor climate patterns such as drought or to show the rate of manmade growth on the fringes of urban development.\r\n\r\nNote: Aerial orthoimagery flown during leaf-on conditions can hinder the ability of the data user to identify manmade features through the deciduous tree canopy. Further, the distinction between evergreen and deciduous vegetation is very difficult using leaf-on imagery. \r\n\r\nOther links:\r\nhttps://www.fsa.usda.gov/programs-and-services/aerial-photography/imagery-programs/naip-imagery/\r\n\r\nNational Agriculture Imagery Program 2004-2022 Interactive Map","partners":"United States Department of Agriculture Farm Service Agency","authoritative":true,"public":true,"known_issues":"None","wms_link":"https://imagery.geographic.texas.gov/server/services/NAIP/NAIP14_NCCIR_1m/ImageServer/WMSServer","s_three_key":"naip-2014-nc-cir-1m-ccm","popup_link":"https://imagery.geographic.texas.gov/server/rest/services/NAIP/NAIP14_NCCIR_1m/ImageServer?f=jsapi","carto_map_id":"d5084e86-dec9-11e4-afda-0e0c41326911","coverage_extent":"Texas","tags":"Texas, Statewide, National Agricultural Imagery Program, NAIP, United States Department of Agriculture, USDA, Natural Resources Conservation Service, NRCS, Natural Color, NC, Infrared, CIR, Mosaic, Orthoimagery, Aerial, Historical","category":"Imagery","spatial_reference":"26913,26914,26915","file_type":"JP2,TIFF","resolution":"1m","recommended_use":null,"resource_types":"NC-CCM,NCCIR-DOQQ","data_types":"Raster","band_types":"NC,CIR","source_name":"United States Department of Agriculture","source_abbreviation":"USDA","source_website":"https://www.usda.gov/","source_data_website":"https://datagateway.nrcs.usda.gov/","source_contact":"usdanrcs@midatl.service-now.com","license_name":"Creative Commons Zero v1.0 Universal","license_abbreviation":"CC0-1.0","license_url":"https://spdx.org/licenses/CC0-1.0.html","template":"tnris-download","availability":"Download","counties":"Anderson, Andrews, Angelina, Aransas, Archer, Armstrong, Atascosa, Austin, Bailey, Bandera, Bastrop, Baylor, Bee, Bell, Bexar, Blanco, Borden, Bosque, Bowie, Brazoria, Brazos, Brewster, Briscoe, Brooks, Brown, Burleson, Burnet, Caldwell, Calhoun, Callahan, Cameron, Camp, Carson, Cass, Castro, Chambers, Cherokee, Childress, Clay, Cochran, Coke, Coleman, Collin, Collingsworth, Colorado, Comal, Comanche, Concho, Cooke, Coryell, Cottle, Crane, Crockett, Crosby, Culberson, Dallam, Dallas, Dawson, Deaf Smith, Delta, Denton, DeWitt, Dickens, Dimmit, Donley, Duval, Eastland, Ector, Edwards, Ellis, El Paso, Erath, Falls, Fannin, Fayette, Fisher, Floyd, Foard, Fort Bend, Franklin, Freestone, Frio, Gaines, Galveston, Garza, Gillespie, Glasscock, Goliad, Gonzales, Gray, Grayson, Gregg, Grimes, Guadalupe, Hale, Hall, Hamilton, Hansford, Hardeman, Hardin, Harris, Harrison, Hartley, Haskell, Hays, Hemphill, Henderson, Hidalgo, Hill, Hockley, Hood, Hopkins, Houston, Howard, Hudspeth, Hunt, Hutchinson, Irion, Jack, Jackson, Jasper, Jeff Davis, Jefferson, Jim Hogg, Jim Wells, Johnson, Jones, Karnes, Kaufman, Kendall, Kenedy, Kent, Kerr, Kimble, King, Kinney, Kleberg, Knox, Lamar, Lamb, Lampasas, La Salle, Lavaca, Lee, Leon, Liberty, Limestone, Lipscomb, Live Oak, Llano, Loving, Lubbock, Lynn, Madison, Marion, Martin, Mason, Matagorda, Maverick, McCulloch, McLennan, McMullen, Medina, Menard, Midland, Milam, Mills, Mitchell, Montague, Montgomery, Moore, Morris, Motley, Nacogdoches, Navarro, Newton, Nolan, Nueces, Ochiltree, Oldham, Orange, Palo Pinto, Panola, Parker, Parmer, Pecos, Polk, Potter, Presidio, Rains, Randall, Reagan, Real, Red River, Reeves, Refugio, Roberts, Robertson, Rockwall, Runnels, Rusk, Sabine, San Augustine, San Jacinto, San Patricio, San Saba, Schleicher, Scurry, Shackelford, Shelby, Sherman, Smith, Somervell, Starr, Stephens, Sterling, Stonewall, Sutton, Swisher, Tarrant, Taylor, Terrell, Terry, Throckmorton, Titus, Tom Green, Travis, Trinity, Tyler, Upshur, Upton, Uvalde, Val Verde, Van Zandt, Victoria, Walker, Waller, Ward, Washington, Webb, Wharton, Wheeler, Wichita, Wilbarger, Willacy, Williamson, Wilson, Winkler, Wise, Wood, Yoakum, Young, Zapata, Zavala","oe_service_names":null,"oe_service_urls":null},{"collection_id":"eb61aa80-149f-4381-a9b9-4089a65408d7","thumbnail_image":"https://data.geographic.texas.gov/eb61aa80-149f-4381-a9b9-4089a65408d7/assets/26a00b1a-4c48-40da-8285-d1d9272b3f0a.jpg","images":"https://data.geographic.texas.gov/eb61aa80-149f-4381-a9b9-4089a65408d7/assets/26a00b1a-4c48-40da-8285-d1d9272b3f0a.jpg,https://data.geographic.texas.gov/eb61aa80-149f-4381-a9b9-4089a65408d7/assets/5b7c5bcd-cbcf-4c91-9838-2b19eadb5e6f.jpg,https://data.geographic.texas.gov/eb61aa80-149f-4381-a9b9-4089a65408d7/assets/8042a5ca-ee89-4bbc-a05c-b5faf68c0987.jpg","tile_index_url":"https://data.geographic.texas.gov/eb61aa80-149f-4381-a9b9-4089a65408d7/assets/texas-naip-imagery-tile-index.zip","supplemental_report_url":null,"lidar_breaklines_url":null,"lidar_buildings_url":null,"name":"Texas NAIP Imagery","acquisition_date":"2010-10-01","publication_date":"2019-04-01","short_description":"The National Agriculture Imagery Program (NAIP) acquires aerial imagery during the agricultural growing seasons in the continental United States.","description":"This orthoimagery dataset was acquired by the National Agriculture Imagery Program (NAIP) during the 2010 agricultural growing season (April - October) during leaf-on conditions statewide in Texas. The entire dataset is available at 1-meter pixel resolution. This pixel resolution allows the user to identify features on the ground such as stock ponds, county and gravel roads, railroads and cropland. The entire dataset is available as a 4-band (RGBIR) product which allows the user to display the imagery in natural color (RGB) or color infrared (IRRG). Flight date is in each filename as YYYYMMDD, and each image tile covers one 4th of a USGS Digital Orthophoto Quad (DOQ) resulting in a DOQQ or approximately 16 square miles with minimum 300-meter buffers. These NAIP imagery products are also available as 3-band (IRRG) color infrared compressed county mosaics (CCMs). CCMs are generated by compressing the DOQQ image tiles into a single mosaic per county. All individual tile images and the resulting mosaic are rectified in the UTM coordinate system, NAD 83, and cast into a single predetermined UTM zone.\r\n\r\nNAIP is administered by the USDA's Farm Service Agency (FSA) through the Aerial Photography Field Office (APFO) in Salt Lake City. The program was established to support FSA's strategic goals centered on agricultural production. The orthoimagery are used as a base layer for GIS programs in FSA's County Service Centers including maintenance of the Common Land Unit (CLU) boundaries. However, there are many other potential uses and applications of NAIP data as a statewide base layer of imagery in Texas. NAIP imagery are used for a wide variety of purposes throughout the state including land use planning, natural resource assessment, energy production, transportation, emergency management, ecology, air quality monitoring, etc. \r\n\r\nNAIP acquisitions in Texas are contracted based on available funding and the FSA imagery acquisition cycle. Since 2008, NAIP statewide imagery have been acquired for Texas on a 2-year cycle. This refresh rate allows the user to conduct change detection studies that can be used to monitor climate patterns such as drought or to show the rate of manmade growth on the fringes of urban development.\r\n\r\nNote: Aerial orthoimagery flown during leaf-on conditions can hinder the ability of the data user to identify manmade features through the deciduous tree canopy. Further, the distinction between evergreen and deciduous vegetation is very difficult using leaf-on imagery. \r\n\r\nOther links:\r\nhttps://www.fsa.usda.gov/programs-and-services/aerial-photography/imagery-programs/naip-imagery/\r\n\r\nNational Agriculture Imagery Program 2004-2022 Interactive Map","partners":"United States Department of Agriculture Farm Service Agency","authoritative":true,"public":true,"known_issues":"Only color balanced with 3 of 4 bands","wms_link":"https://imagery.geographic.texas.gov/server/services/NAIP/NAIP10_NCCIR_1m/ImageServer/WMSServer","s_three_key":"naip-2010-nccir-1m","popup_link":"https://imagery.geographic.texas.gov/server/rest/services/NAIP/NAIP10_NCCIR_1m/ImageServer?f=jsapi","carto_map_id":"d5084e86-dec9-11e4-afda-0e0c41326911","coverage_extent":"Texas","tags":"Texas, Statewide, National Agricultural Imagery Program, NAIP, United States Department of Agriculture, USDA, Natural Resources Conservation Service, NRCS, Natural Color, NC, Infrared, CIR, Mosaic, Orthoimagery, Aerial, Historical","category":"Imagery","spatial_reference":"26913,26914,26915","file_type":"JP2,MrSID,TIFF","resolution":"1m","recommended_use":null,"resource_types":"CIR-CCM,NCCIR-DOQQ","data_types":"Raster","band_types":"NC,CIR","source_name":"United States Department of Agriculture","source_abbreviation":"USDA","source_website":"https://www.usda.gov/","source_data_website":"https://datagateway.nrcs.usda.gov/","source_contact":"usdanrcs@midatl.service-now.com","license_name":"Creative Commons Zero v1.0 Universal","license_abbreviation":"CC0-1.0","license_url":"https://spdx.org/licenses/CC0-1.0.html","template":"tnris-download","availability":"Download","counties":"Anderson, Andrews, Angelina, Aransas, Archer, Armstrong, Atascosa, Austin, Bailey, Bandera, Bastrop, Baylor, Bee, Bell, Bexar, Blanco, Borden, Bosque, Bowie, Brazoria, Brazos, Brewster, Briscoe, Brooks, Brown, Burleson, Burnet, Caldwell, Calhoun, Callahan, Cameron, Camp, Carson, Cass, Castro, Chambers, Cherokee, Childress, Clay, Cochran, Coke, Coleman, Collin, Collingsworth, Colorado, Comal, Comanche, Concho, Cooke, Coryell, Cottle, Crane, Crockett, Crosby, Culberson, Dallam, Dallas, Dawson, Deaf Smith, Delta, Denton, DeWitt, Dickens, Dimmit, Donley, Duval, Eastland, Ector, Edwards, Ellis, El Paso, Erath, Falls, Fannin, Fayette, Fisher, Floyd, Foard, Fort Bend, Franklin, Freestone, Frio, Gaines, Galveston, Garza, Gillespie, Glasscock, Goliad, Gonzales, Gray, Grayson, Gregg, Grimes, Guadalupe, Hale, Hall, Hamilton, Hansford, Hardeman, Hardin, Harris, Harrison, Hartley, Haskell, Hays, Hemphill, Henderson, Hidalgo, Hill, Hockley, Hood, Hopkins, Houston, Howard, Hudspeth, Hunt, Hutchinson, Irion, Jack, Jackson, Jasper, Jeff Davis, Jefferson, Jim Hogg, Jim Wells, Johnson, Jones, Karnes, Kaufman, Kendall, Kenedy, Kent, Kerr, Kimble, King, Kinney, Kleberg, Knox, Lamar, Lamb, Lampasas, La Salle, Lavaca, Lee, Leon, Liberty, Limestone, Lipscomb, Live Oak, Llano, Loving, Lubbock, Lynn, Madison, Marion, Martin, Mason, Matagorda, Maverick, McCulloch, McLennan, McMullen, Medina, Menard, Midland, Milam, Mills, Mitchell, Montague, Montgomery, Moore, Morris, Motley, Nacogdoches, Navarro, Newton, Nolan, Nueces, Ochiltree, Oldham, Orange, Palo Pinto, Panola, Parker, Parmer, Pecos, Polk, Potter, Presidio, Rains, Randall, Reagan, Real, Red River, Reeves, Refugio, Roberts, Robertson, Rockwall, Runnels, Rusk, Sabine, San Augustine, San Jacinto, San Patricio, San Saba, Schleicher, Scurry, Shackelford, Shelby, Sherman, Smith, Somervell, Starr, Stephens, Sterling, Stonewall, Sutton, Swisher, Tarrant, Taylor, Terrell, Terry, Throckmorton, Titus, Tom Green, Travis, Trinity, Tyler, Upshur, Upton, Uvalde, Val Verde, Van Zandt, Victoria, Walker, Waller, Ward, Washington, Webb, Wharton, Wheeler, Wichita, Wilbarger, Willacy, Williamson, Wilson, Winkler, Wise, Wood, Yoakum, Young, Zapata, Zavala","oe_service_names":null,"oe_service_urls":null},{"collection_id":"f1d66250-4021-47df-9fe9-9fca286b0f50","thumbnail_image":"https://data.geographic.texas.gov/f1d66250-4021-47df-9fe9-9fca286b0f50/assets/078c72e9-f70a-480c-92ec-2bbac7dab53b.jpg","images":"https://data.geographic.texas.gov/f1d66250-4021-47df-9fe9-9fca286b0f50/assets/078c72e9-f70a-480c-92ec-2bbac7dab53b.jpg,https://data.geographic.texas.gov/f1d66250-4021-47df-9fe9-9fca286b0f50/assets/2434fbd7-5346-4847-965d-baef42a4385a.jpg,https://data.geographic.texas.gov/f1d66250-4021-47df-9fe9-9fca286b0f50/assets/4ed83c93-263b-4b48-8ef5-bafe0282647e.png,https://data.geographic.texas.gov/f1d66250-4021-47df-9fe9-9fca286b0f50/assets/51c9d8e8-aca4-45ea-a14a-b16a57659ff3.jpg,https://data.geographic.texas.gov/f1d66250-4021-47df-9fe9-9fca286b0f50/assets/79fe66a9-02d5-45da-b02f-68a5c852e7cb.png,https://data.geographic.texas.gov/f1d66250-4021-47df-9fe9-9fca286b0f50/assets/b30f9e0a-ff88-479a-90c0-89c20af404e8.jpg","tile_index_url":"https://data.geographic.texas.gov/f1d66250-4021-47df-9fe9-9fca286b0f50/assets/texas-naip-imagery-tile-index.zip","supplemental_report_url":"https://data.geographic.texas.gov/f1d66250-4021-47df-9fe9-9fca286b0f50/assets/texas-naip-imagery-supplemental-report.zip","lidar_breaklines_url":null,"lidar_buildings_url":null,"name":"Texas NAIP Imagery","acquisition_date":"2018-12-31","publication_date":"2019-10-07","short_description":null,"description":"DISCLAIMER: The 2018-19 NAIP dataset does NOT include compressed county mosaics (CCMs) as they were not funded by the program this time.\r\n\r\nThis orthoimagery dataset was acquired by the National Agriculture Imagery Program (NAIP) during the 2018 agricultural growing season and through the winter and spring of 2019 (May 2018 - April 2019), resulting in a mix of leaf-on/leaf-off conditions statewide in Texas. The entire dataset is available at 60-cm (2-foot) pixel resolution. This pixel resolution allows the user to identify features on the ground such as sheds, helipad markings, driveways, car ports, medians, and bike lanes. The entire dataset is available as a 4-band (RGBIR) product which allows the user to display the imagery in natural color (RGB) or color infrared (IRRG). Flight date is in each filename as YYYYMMDD, and each image tile covers one-4th of a USGS Digital Orthophoto Quad (DOQ), resulting in a DOQQ or approximately 16 square miles with minimum 300-meter buffers. All individual tile images are rectified in the UTM coordinate system, NAD 83, and cast into a single predetermined UTM zone.\r\n\r\nNAIP is administered by the USDA's Farm Service Agency (FSA) through the Aerial Photography Field Office (APFO) in Salt Lake City, Utah. The program was established to support FSA's strategic goals centered on agricultural production. The orthoimagery are used as a base layer for GIS programs in FSA's County Service Centers including maintenance of the Common Land Unit (CLU) boundaries. However, there are many other potential uses and applications of NAIP data as a statewide base layer of imagery in Texas. NAIP imagery are used for a wide variety of purposes throughout the state including land use planning, natural resource assessment, energy production, transportation, emergency management, ecology, air quality monitoring, etc. \r\n\r\nNAIP acquisitions in Texas are contracted based on available funding and the FSA imagery acquisition cycle. Since 2008, NAIP statewide imagery have been acquired for Texas on a 2-year cycle. This refresh rate allows the user to conduct change detection studies that can be used to monitor climate patterns such as drought or to show the rate of manmade growth on the fringes of urban development.\r\n\r\nNotes: \r\n1) Per FSA, full coverage along the TX/MX border is not available in some areas and some DOQQ tiles contain black no data areas along the TX/MX border. Cities such as Brownsville, Pharr, south McAllen, Mission, Rio Grande City, and Eagle Pass are NOT available. \r\n2) A fifth band of null values was created during the conversion from the uncompressed GeoTIFFs to the compressed lossless JPEG2000s. The conversion was performed in ERDAS Imagine which does not exhibit the fifth band. The fifth band is however revealed in ArcGIS and should be ignored.\r\n\r\nOther links:\r\nhttps://www.fsa.usda.gov/programs-and-services/aerial-photography/imagery-programs/naip-imagery/\r\n\r\nNational Agriculture Imagery Program 2004-2022 Interactive Map","partners":"United States Department of Agriculture Farm Service Agency","authoritative":false,"public":true,"known_issues":null,"wms_link":"https://imagery.geographic.texas.gov/server/services/NAIP/NAIP18_NCCIR_60cm/ImageServer/WMSServer","s_three_key":"naip-2018-2019-nccir-60cm","popup_link":"https://imagery.geographic.texas.gov/server/rest/services/NAIP/NAIP18_NCCIR_60cm/ImageServer?f=jsapi","carto_map_id":null,"coverage_extent":null,"tags":null,"category":"Imagery","spatial_reference":"26913,26914,26915","file_type":"JP2,TIFF","resolution":"60cm","recommended_use":null,"resource_types":"NCCIR-DOQQ","data_types":"Raster","band_types":"NC,CIR","source_name":"United States Department of Agriculture","source_abbreviation":"USDA","source_website":"https://www.usda.gov/","source_data_website":"https://datagateway.nrcs.usda.gov/","source_contact":"usdanrcs@midatl.service-now.com","license_name":"Creative Commons Zero v1.0 Universal","license_abbreviation":"CC0-1.0","license_url":"https://spdx.org/licenses/CC0-1.0.html","template":"tnris-download","availability":"Download","counties":"Anderson, Andrews, Angelina, Aransas, Archer, Armstrong, Atascosa, Austin, Bailey, Bandera, Bastrop, Baylor, Bee, Bell, Bexar, Blanco, Borden, Bosque, Bowie, Brazoria, Brazos, Brewster, Briscoe, Brooks, Brown, Burleson, Burnet, Caldwell, Calhoun, Callahan, Cameron, Camp, Carson, Cass, Castro, Chambers, Cherokee, Childress, Clay, Cochran, Coke, Coleman, Collin, Collingsworth, Colorado, Comal, Comanche, Concho, Cooke, Coryell, Cottle, Crane, Crockett, Crosby, Culberson, Dallam, Dallas, Dawson, Deaf Smith, Delta, Denton, DeWitt, Dickens, Dimmit, Donley, Duval, Eastland, Ector, Edwards, Ellis, El Paso, Erath, Falls, Fannin, Fayette, Fisher, Floyd, Foard, Fort Bend, Franklin, Freestone, Frio, Gaines, Galveston, Garza, Gillespie, Glasscock, Goliad, Gonzales, Gray, Grayson, Gregg, Grimes, Guadalupe, Hale, Hall, Hamilton, Hansford, Hardeman, Hardin, Harris, Harrison, Hartley, Haskell, Hays, Hemphill, Henderson, Hidalgo, Hill, Hockley, Hood, Hopkins, Houston, Howard, Hudspeth, Hunt, Hutchinson, Irion, Jack, Jackson, Jasper, Jeff Davis, Jefferson, Jim Hogg, Jim Wells, Johnson, Jones, Karnes, Kaufman, Kendall, Kenedy, Kent, Kerr, Kimble, King, Kinney, Kleberg, Knox, Lamar, Lamb, Lampasas, La Salle, Lavaca, Lee, Leon, Liberty, Limestone, Lipscomb, Live Oak, Llano, Loving, Lubbock, Lynn, Madison, Marion, Martin, Mason, Matagorda, Maverick, McCulloch, McLennan, McMullen, Medina, Menard, Midland, Milam, Mills, Mitchell, Montague, Montgomery, Moore, Morris, Motley, Nacogdoches, Navarro, Newton, Nolan, Nueces, Ochiltree, Oldham, Orange, Palo Pinto, Panola, Parker, Parmer, Pecos, Polk, Potter, Presidio, Rains, Randall, Reagan, Real, Red River, Reeves, Refugio, Roberts, Robertson, Rockwall, Runnels, Rusk, Sabine, San Augustine, San Jacinto, San Patricio, San Saba, Schleicher, Scurry, Shackelford, Shelby, Sherman, Smith, Somervell, Starr, Stephens, Sterling, Stonewall, Sutton, Swisher, Tarrant, Taylor, Terrell, Terry, Throckmorton, Titus, Tom Green, Travis, Trinity, Tyler, Upshur, Upton, Uvalde, Val Verde, Van Zandt, Victoria, Walker, Waller, Ward, Washington, Webb, Wharton, Wheeler, Wichita, Wilbarger, Willacy, Williamson, Wilson, Winkler, Wise, Wood, Yoakum, Young, Zapata, Zavala","oe_service_names":null,"oe_service_urls":null},{"collection_id":"f60f199e-055e-4c8e-954e-7bf11f493c24","thumbnail_image":"https://data.geographic.texas.gov/f60f199e-055e-4c8e-954e-7bf11f493c24/assets/8af9e98d-b89f-4a96-a798-9f263a8c640c.webp","images":"https://data.geographic.texas.gov/f60f199e-055e-4c8e-954e-7bf11f493c24/assets/8af9e98d-b89f-4a96-a798-9f263a8c640c.webp","tile_index_url":null,"supplemental_report_url":null,"lidar_breaklines_url":null,"lidar_buildings_url":null,"name":"Texas Building Footprints","acquisition_date":"2026-07-21","publication_date":"2026-07-21","short_description":null,"description":"This dataset is an initiative by the Texas Geographic Information Office (TxGIO) to generate a statewide 2D building footprint dataset derived from StratMap lidar collections. These data were developed using Class 6 (Buildings) lidar point data based on a horizontal projection/datum of WGS 1984 (ESPG 4326). The building footprints, for features 400 square feet and larger, are available as a feature class within an ESRI geodatabase and as a feature service.\r\n\r\nFeature classes include HAG and LAG (highest and lowest adjacent grade), AverageZ (average grade), HRE (highest roof elevation), BuildingHeight (in feet), CollName (stratmap lidar collection name footprints were derived from), HUC8_Code, HUC8_Name, SourceYear (lidar collection year), SourceType (lidar, imagery, etc.), County. Also included are the fields Slope_HL (the slope from the HAG point to the LAG point, where Slope_HL = (HZ-LZ)/distance_H2L), ChkPolyV (the confidence level on the HAG/LAG value, reported by % value, where ChkPolyV = (count_valid*100)/totalCount); e.g., 96.5 = 96.5% confidence and 1 = full confidence). QA/QC processing occurred to meet the following accuracy requirement: Horizontal accuracy up to +/- 1m. Omission/commission errors will exist, and rooftop outlines may appear generalized or incomplete in certain areas where vegetation or other artifacts are present in the data.\r\n\r\nThis is an ongoing effort that will be continuously updated.","partners":"","authoritative":false,"public":true,"known_issues":null,"wms_link":"https://feature.geographic.texas.gov/arcgis/services/Buidlings/TxGIO_Building_Footprints/MapServer/WMSServer","s_three_key":"stratmap-2026-building-footprints","popup_link":null,"carto_map_id":null,"coverage_extent":null,"tags":null,"category":"Basemap","spatial_reference":"4326","file_type":"GDB","resolution":null,"recommended_use":null,"resource_types":"BLG","data_types":null,"band_types":null,"source_name":"Strategic Mapping Program","source_abbreviation":"StratMap","source_website":"https://geographic.texas.gov/","source_data_website":"https://data.geographic.texas.gov/","source_contact":"https://geographic.texas.gov/contact","license_name":"Creative Commons Zero v1.0 Universal","license_abbreviation":"CC0-1.0","license_url":"https://spdx.org/licenses/CC0-1.0.html","template":"tnris-download","availability":"Download","counties":null,"oe_service_names":null,"oe_service_urls":null}]}