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This map layer portrays a selected set of information that was collected for the 2007 Census of Agriculture by the National Agricultural Statistics Service, U.S. Department of Agriculture. There are 25 categories of data which include information about farms, crops, livestock, values of products, and farm operator characteristics. The data is for the United States and is presented by county. This is a replacement for the June 2005 Agriculture Census of the United States – 2002 map layer.
Categories: Web Site; Tags: Agricultural census, Agriculture, Alabama, Alaska, Arizona, All tags...
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Layer displays major crops in the contiguous US for 2011 at a 1 square mile spatial resolution. This dataset is a resampled subset of the 2011 Cropland Data Layer (CDL), 2011_30m_cdls.img, obtained from United States Department of Agriculture (USDA), National Agricultural Statistics Service (NASS). Acreage for corn, soybeans, cotton, and wheat was reclassified from the original 30 meter data and down-sampled to 1 square mile resolution for display on small-scale maps, such as those showing the extent of the lower 48 states. The purpose of the Cropland Data Layer Program is to use satellite imagery to (1) provide acreage estimates to the Agricultural Statistics Board for the state's major commodities and (2) produce...
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This map layer portrays a selected set of information that was collected for the 2002 Census of Agriculture by the National Agricultural Statistics Service, U.S. Department of Agriculture. There are 25 categories of data which include information about farms, crops, livestock, values of products, and farm operator characteristics. The data is for the United States and is presented by county. This is a replacement for the May 2003 Agriculture Census of the United States – 1997 map layer.
Categories: Web Site; Tags: Agricultural census, Agriculture, Alabama, Alaska, Arizona, All tags...
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This dataset has been modified from its original version. the original aglands layer described below was modified by erasing the irrigated lands (2007) produced by the Wyoming Water Development Commission, resulting in a representation of dryland Agriculture in Wyoming. NOTE: this data was modeled as noted below, and should be used with caution. "This dataset represents croplands of Wyoming as interpreted from 1:58,200-scale National High Altitude Program (NHAP) color infrared aerial photography. The photos, which were taken in 1980-1982, were interpreted and land use designations were hand-drawn onto plots produced at the same scale as the photos, using a light table. Valid polygons include irrigated croplands,...
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This dataset represents croplands of Wyoming as interpreted from 1:58,200-scale National High Altitude Program (NHAP) color infrared aerial photography. The photos, which were taken in 1980-1982, were interpreted and land use designations were hand-drawn onto plots produced at the same scale as the photos, using a light table. The plots were then digitized as polygons into ARC/INFO 7.0.2. Valid polygons include irrigated croplands, non-irrigated croplands, urban lands, golf-courses, and non-agricultural lands.
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This dataset is derived from a combination of satellite imagery and national level census data using an algorithm developed by Navin Ramankutty of the University of Wisconsin. Although this image is for 1992, the dataset was originally compiled as part of a historical croplands dataset that runs from 1700 to 1990. The grid contains fractional cropcover data, meaning the number given for each gridcell is the fraction of that gridcell's surface that is covered by crops. Thus a value of 0.7 means that 70% of the cell is being used for agricultural purposes.
Understanding spatial and temporal variation in net primary production (NPP), the amount of carbon fixed into biomass by vegetation, is a central goal of ecosystem ecologists. Optical remote sensing techniques can help address this need by providing accurate, consistent, and reliable approximations of photosynthetic activity at large scales. However, converting photosynthetic activity into NPP requires estimates of light-use efficiency, which has been shown to vary among vegetation types. In this study, we compare remotely sensed estimates of absorbed photosynthetically active radiation with ground-based NPP estimates to determine appropriate light-use efficiency values for grasslands and croplands. We contrast...
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Global climate change is putting unprecedented pressure on global croplands and their water use, vital for ensuring future food security for the world's rapidly expanding human population. The end of the green green revolution (productivity per unit of land) era has meant declining global per capita agricultural production requiring immediate policy responses to safeguard food security amidst global climate change and economic turbulence. Above all, global croplands are water guzzlers, consuming between 60-90% of all human water use. With increasing urbanization, industrialization, and other demands (e.g., bio-fuels) on water there is increasing pressure to reduce agricultural water use by producing more food from...


    map background search result map search result map Dryland Agricultural Land Use of Wyoming at 1:58,200 Agricultural Land Use of Wyoming at 1:58,200 Agriculture Census of the United States - 2002 Agriculture Census of the United States - 2007 Global Croplands and Their Water Use for Food Security in the Twenty-first Century Major Crops in the Contiguous US, 2011 Global Cropland Intensity Dryland Agricultural Land Use of Wyoming at 1:58,200 Agricultural Land Use of Wyoming at 1:58,200 Major Crops in the Contiguous US, 2011 Agriculture Census of the United States - 2002 Agriculture Census of the United States - 2007 Global Cropland Intensity