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This data set contains imagery from the National Agriculture Imagery Program (NAIP). The NAIP program is administered by USDA FSA and has been established to support two main FSA strategic goals centered on agricultural production. These are, increase stewardship of America's natural resources while enhancing the environment, and to ensure commodities are procured and distributed effectively and efficiently to increase food security. The NAIP program supports these goals by acquiring and providing ortho imagery that has been collected during the agricultural growing season in the U.S. The NAIP ortho imagery is tailored to meet FSA requirements and is a fundamental tool used to support FSA farm and conservation programs....
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This data set contains imagery from the National Agriculture Imagery Program (NAIP). The NAIP program is administered by USDA FSA and has been established to support two main FSA strategic goals centered on agricultural production. These are, increase stewardship of America's natural resources while enhancing the environment, and to ensure commodities are procured and distributed effectively and efficiently to increase food security. The NAIP program supports these goals by acquiring and providing ortho imagery that has been collected during the agricultural growing season in the U.S. The NAIP ortho imagery is tailored to meet FSA requirements and is a fundamental tool used to support FSA farm and conservation programs....
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Sediment samples and samples for water-toxicity testing were collected during 2014 from several streams in San Antonio, Texas known locally as the Westside creeks (Alazán, Apache, Martínez, and San Pedro Creeks) and from the San Antonio River. Samples were collected once during base-flow and again after periods of storm-water runoff (post-storm conditions) to determine baseline sediment- and water-quality conditions. Streambed-sediment samples were analyzed for selected constituents, including trace elements and organic contaminants such as pesticides, polychlorinated biphenyls (PCBs), brominated flame retardants, and polycyclic aromatic hydrocarbons (PAHs).
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This data set contains imagery from the National Agriculture Imagery Program (NAIP). The NAIP program is administered by USDA FSA and has been established to support two main FSA strategic goals centered on agricultural production. These are, increase stewardship of America's natural resources while enhancing the environment, and to ensure commodities are procured and distributed effectively and efficiently to increase food security. The NAIP program supports these goals by acquiring and providing ortho imagery that has been collected during the agricultural growing season in the U.S. The NAIP ortho imagery is tailored to meet FSA requirements and is a fundamental tool used to support FSA farm and conservation programs....
This data set contains imagery from the National Agriculture Imagery Program (NAIP). The NAIP program is administered by USDA FSA and has been established to support two main FSA strategic goals centered on agricultural production. These are increase stewardship of America's natural resources while enhancing the environment, and to ensure commodities are procured and distributed effectively and efficiently to increase food security. The NAIP program supports these goals by acquiring and providing ortho imagery that has been collected during the agricultural growing season in the U.S. The NAIP ortho imagery is tailored to meet FSA requirements and is a fundamental tool used to support FSA farm and conservation programs....
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Supporting datasets for the associated journal publication "Towards reproducible environmental modeling for decision support: a worked example". Includes source codes for the version of PEST++ and MODFLOW-2005 used, the pyEMU and FloPy python modules and the driver script "eaa.py". Also included are the existing MODFLOW-2005 models supplied the Edwards Aquifer Authority
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This data release includes aerial imagery collected during two uncrewed aerial system (UAS) imagery surveys at an edge-of-field site north of Medina River Natural Area near San Antonio, Texas, on August 14, 2019, and July 8, 2022. A total of 1,153 images were collected during the survey on August 14, 2019, and a total of 1,277 images were collected during the survey on July 8, 2022. In total, 2,430 images provided in the form of geotagged true-color aerial images in JPG format are provided.


map background search result map search result map Sediment-quality and water-toxicity data from 10 sites on the Westside Creeks and San Antonio River, San Antonio, Texas, 2014 FSA 10:1 NAIP Imagery m_2808246_nw_17_1_20151015_20160201 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_2808246_se_17_1_20151015_20160201 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_2808246_sw_17_1_20151015_20160201 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_3310602_nw_13_1_20140602_20141009 3.75 x 3.75 minute JPEG2000 from The National Map USGS 1:100000-scale Quadrangle for San Antonio, TX 1985 USGS 1:100000-scale Quadrangle for San Antonio, TX 1985 USGS 1:62500-scale Quadrangle for San Antonio, CA 1903 USGS 1:62500-scale Quadrangle for San Antonio, CA 1903 USGS 1:62500-scale Quadrangle for San Antonio, CA 1903 USGS 1:62500-scale Quadrangle for San Antonio, CA 1903 USGS 1:62500-scale Quadrangle for San Antonio, CA 1903 USGS 1:62500-scale Quadrangle for San Antonio, CA 1942 USGS 1:62500-scale Quadrangle for San Antonio, CA 1942 USGS 1:62500-scale Quadrangle for San Antonio, CA 1903 USGS 1:250000-scale Quadrangle for San Antonio, TX 1957 USGS 1:250000-scale Quadrangle for San Antonio, TX 1954 USGS 1:250000-scale Quadrangle for San Antonio, TX 1954 Towards reproducible environmental modeling for decision support: a worked example Aerial imagery obtained by using uncrewed aerial systems from an erosion prone area north of Medina River Natural Area near San Antonio, Texas, August 14, 2019, and July 8, 2022 Aerial imagery obtained by using uncrewed aerial systems from an erosion prone area north of Medina River Natural Area near San Antonio, Texas, August 14, 2019, and July 8, 2022 FSA 10:1 NAIP Imagery m_2808246_nw_17_1_20151015_20160201 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_2808246_se_17_1_20151015_20160201 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_2808246_sw_17_1_20151015_20160201 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_3310602_nw_13_1_20140602_20141009 3.75 x 3.75 minute JPEG2000 from The National Map USGS 1:62500-scale Quadrangle for San Antonio, CA 1903 USGS 1:62500-scale Quadrangle for San Antonio, CA 1903 USGS 1:62500-scale Quadrangle for San Antonio, CA 1903 USGS 1:62500-scale Quadrangle for San Antonio, CA 1903 USGS 1:62500-scale Quadrangle for San Antonio, CA 1903 USGS 1:62500-scale Quadrangle for San Antonio, CA 1942 USGS 1:62500-scale Quadrangle for San Antonio, CA 1942 USGS 1:62500-scale Quadrangle for San Antonio, CA 1903 USGS 1:100000-scale Quadrangle for San Antonio, TX 1985 USGS 1:100000-scale Quadrangle for San Antonio, TX 1985 USGS 1:250000-scale Quadrangle for San Antonio, TX 1957 USGS 1:250000-scale Quadrangle for San Antonio, TX 1954 USGS 1:250000-scale Quadrangle for San Antonio, TX 1954 Towards reproducible environmental modeling for decision support: a worked example