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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....
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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These datasets contain XYZ locations and other attributes of points from topographic bank surveys at six sites downstream from three dams on the Coosa River in Alabama, from October 2014 through July 2017. At the four sites downstream from H. Neely Henry and Walter Bouldin Dams, topographic data were collected using a motion-compensated LiDAR (MC-LiDAR) system mounted on a marine survey vessel equipped with an inertial navigation system (INS). Data were collected as the vessel traversed the river along a survey line near the site. Data collection software integrated and stored the range and angular measurements from the LiDAR, and the horizontal and vertical position and attitude data of the vessel from the INS...
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....
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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These datasets contain XYZ locations and other attributes of points from topographic bank surveys of sites LM102 and LM108 downstream from Logan Martin Dam near Vincent, Alabama, from October 16, 2014, through July 18, 2017. Topographic data were collected using a tripod-based terrestrial LiDAR (T-LiDAR) system at several tripod setups distributed throughout the reach. Data collection software integrated and stored the range and angular measurements from the T-LiDAR. Computer software was utilized to process the raw data files, align the various scans in reference to one another, and extract the topography data in a usable format. Point cloud comparison software was then used to compute the distance and volume gain...
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....
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....


map background search result map search result map FSA 10:1 NAIP Imagery m_4209432_ne_15_1_20150815_20151103 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_4209432_nw_15_1_20150815_20151103 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_3909851_ne_14_1_20150927_20151103 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_3909851_se_14_1_20150820_20151103 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_3909851_sw_14_1_20150928_20151103 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_3210139_nw_14_1_20140822_20141201 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_3210139_se_14_1_20140822_20141201 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_3210139_sw_14_1_20140822_20141201 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_3308637_ne_16_1_20150802_20151123 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_3308637_sw_16_1_20150802_20151123 3.75 x 3.75 minute JPEG2000 from The National Map USGS 1:24000-scale Quadrangle for Vincent, IA 1979 USGS 1:24000-scale Quadrangle for Vincent, KS 1978 USGS 1:24000-scale Quadrangle for Vincent, AL 1951 USGS 1:24000-scale Quadrangle for Vincent, AL 1951 USGS 1:24000-scale Quadrangle for Vincent, AL 1951 USGS 1:24000-scale Quadrangle for Vincent, AL 1975 USGS 1:24000-scale Quadrangle for Vincent, TX 1951 Erosion Monitoring along the Coosa River, Alabama, using Terrestrial Light Detection and Ranging (T-LiDAR) Technology, 2014-2017 Coosa River Bank Topography and Comparisons at Logan Martin Dam sites LM102 and LM108, near Vincent, Alabama, October 2014 - July 2017 USGS 1:24000-scale Quadrangle for Vincent, AL 1951 Coosa River Bank Topography and Comparisons at Logan Martin Dam sites LM102 and LM108, near Vincent, Alabama, October 2014 - July 2017 FSA 10:1 NAIP Imagery m_4209432_ne_15_1_20150815_20151103 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_4209432_nw_15_1_20150815_20151103 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_3909851_ne_14_1_20150927_20151103 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_3909851_se_14_1_20150820_20151103 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_3909851_sw_14_1_20150928_20151103 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_3210139_nw_14_1_20140822_20141201 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_3210139_se_14_1_20140822_20141201 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_3210139_sw_14_1_20140822_20141201 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_3308637_ne_16_1_20150802_20151123 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_3308637_sw_16_1_20150802_20151123 3.75 x 3.75 minute JPEG2000 from The National Map USGS 1:24000-scale Quadrangle for Vincent, IA 1979 USGS 1:24000-scale Quadrangle for Vincent, KS 1978 USGS 1:24000-scale Quadrangle for Vincent, AL 1951 USGS 1:24000-scale Quadrangle for Vincent, AL 1951 USGS 1:24000-scale Quadrangle for Vincent, AL 1951 USGS 1:24000-scale Quadrangle for Vincent, AL 1975 USGS 1:24000-scale Quadrangle for Vincent, TX 1951 USGS 1:24000-scale Quadrangle for Vincent, AL 1951 Erosion Monitoring along the Coosa River, Alabama, using Terrestrial Light Detection and Ranging (T-LiDAR) Technology, 2014-2017