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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....
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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Global Cyclone Total Economic Loss Risk Deciles is a 2.5 by 2.5 minute grid of global cyclone total economic loss risks. A process of spatially allocating gross domestic product (GDP) based upon the Sachs et al. (2003) methodology is utilized. First the proportional contributions of subnational units to their respective national GDP are determined using sources of various origin. The contribution rates are then applied to published World Bank Development Indicators to determine a GDP value for the subnational unit. Once the national GDP is spatially stratified into the smallest adminstrative units available, GDP values for grid cells are derived using population distribution data. A per capita contribution value...
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Global Cyclone Mortality Risks and Distribution is a 2.5 by 2.5 minute grid of global cyclone mortality risks. Gridded Population of the World (GPW) Version 3 (beta) data provide a baseline estimation of population per grid cell from which to estimate potential mortality loss. Mortality loss estimates per hazard event are calculated using regional, hazard-specific mortality records of the Emergency Events Database (EM-DAT) that span the 20 years between 1981 and 2000. Data regarding the frequency and distribution of cyclone hazard are obtained from the Global Cyclone Hazard Frequency and Distribution dataset. In order to more accurately reflect the confidence associated with the data and procedures, the potential...
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This data release presents structure-from-motion products derived from imagery taken along the North Carolina coast in response to storm events and the recovery process. USGS researchers use the aerial photogrammetry data and products to assess future coastal vulnerability, nesting habitats for wildlife, and provide data for hurricane impact models. This research is part of the Remote Sensing Coastal Change Project. Products include digital elevation models and orthorectified imagery (RGB averaged products) created from aerial imagery surveys with precise Global Navigation Satellite Systen (GNSS) navigation data flown in a piloted fixed wing aircraft (available here https://coastal.er.usgs.gov/data-release/doi-P91KB9SF/)....
Hurricane Maria caused widespread landsliding throughout Puerto Rico during September 2017. Previous detailed landslide inventories following the hurricane include Bessette-Kirton et al. (2017, 2019). Here we continue that work with an in-depth look at a portion of northwest Naranjito, which is a municipality in the northeastern part of the main island. To study a characteristic sample of landslides in Naranjito, we mapped all visible individual landslides in an approximately triangular area 2.3 km wide by 1.9 km long. The boundary of our mapping was defined by previous studies (Bessette-Kirton et al., 2019). We used aerial imagery collected between 9-15 October 2017 (Quantum Spatial, Inc., 2017) to map landslide...
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In late September 2017, intense precipitation associated with Hurricane Maria caused extensive landsliding across Puerto Rico. Much of the Utuado municipality in central Puerto Rico was severely impacted by landslides. Landslide density in this region was mapped as greater than 25 landslides/km2 (Bessette-Kirton et al., 2019). In order to better understand the controlling variables of landslide occurrence and runout in this region, four 2.5-km2 study areas were selected and all landslides within were mapped in detail using remote-sensing data. Included in the data release are five separate shapefiles: geographic areas representing the mapping extent of the four distinct areas (map areas, filename: map_areas), initiation...
Abstract (from http://onlinelibrary.wiley.com/doi/10.1111/gcb.12791/abstract): Urban green spaces provide ecosystem services to city residents, but their management is hindered by a poor understanding of their ecology. We examined a novel ecosystem service relevant to urban public health and esthetics: the consumption of littered food waste by arthropods. Theory and data from natural systems suggest that the magnitude and resilience of this service should increase with biological diversity. We measured food removal by presenting known quantities of cookies, potato chips, and hot dogs in street medians (24 sites) and parks (21 sites) in New York City, USA. At the same sites, we assessed ground-arthropod diversity...
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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....


map background search result map search result map Global Cyclone Total Economic Loss Risk Deciles Global Cyclone Mortality Risks and Distribution FSA 10:1 NAIP Imagery m_3709040_ne_15_1_20140724_20141020 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_3709040_sw_15_1_20140724_20141020 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_4209010_ne_15_1_20150710_20151109 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_4209010_se_15_1_20150710_20151109 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_3808240_ne_17_1_20141102_20141201 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_3808240_nw_17_1_20141102_20141201 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_3711354_ne_12_1_20160711_20161017 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_3711354_sw_12_1_20160711_20161017 3.75 x 3.75 minute JPEG2000 from The National Map USGS 1:24000-scale Quadrangle for Hurricane, WI 1962 USGS 1:24000-scale Quadrangle for Hurricane, MO 2000 USGS 1:31680-scale Quadrangle for Hurricane, AL 1943 USGS 1:24000-scale Quadrangle for Hurricane, AL 1997 USGS 1:62500-scale Quadrangle for Hurricane, UT 1954 USGS 1:24000-scale Quadrangle for Hurricane, AL 1953 Map data from landslides triggered by Hurricane Maria in four study areas in the Utuado Municipality, Puerto Rico Aerial Photogrammetry Data and Products of the North Carolina coast: 2018-10-06 to 2018-10-08, post-Hurricane Florence Map data from landslides triggered by Hurricane Maria in a section of Naranjito, Puerto Rico Map data from landslides triggered by Hurricane Maria in a section of Naranjito, Puerto Rico FSA 10:1 NAIP Imagery m_3709040_ne_15_1_20140724_20141020 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_3709040_sw_15_1_20140724_20141020 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_4209010_ne_15_1_20150710_20151109 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_4209010_se_15_1_20150710_20151109 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_3808240_ne_17_1_20141102_20141201 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_3808240_nw_17_1_20141102_20141201 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_3711354_ne_12_1_20160711_20161017 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_3711354_sw_12_1_20160711_20161017 3.75 x 3.75 minute JPEG2000 from The National Map USGS 1:24000-scale Quadrangle for Hurricane, WI 1962 USGS 1:24000-scale Quadrangle for Hurricane, MO 2000 USGS 1:31680-scale Quadrangle for Hurricane, AL 1943 USGS 1:24000-scale Quadrangle for Hurricane, AL 1997 USGS 1:24000-scale Quadrangle for Hurricane, AL 1953 Map data from landslides triggered by Hurricane Maria in four study areas in the Utuado Municipality, Puerto Rico USGS 1:62500-scale Quadrangle for Hurricane, UT 1954 Global Cyclone Total Economic Loss Risk Deciles Global Cyclone Mortality Risks and Distribution