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RF-CLASS: Remote-sensing-based Flood Crop Loss Assessment Service System

    The Remote-sensing-based Flood Crop Loss Assessment Service System (RF-CLASS) is an Earth Observation (EO) based flood crop loss assessment cyber-service system operated by the Center for Spatial Information Science and Systems (CSISS), George Mason University. RF-CLASS supports flood-related crop statistics and insurance decision-making.

    pySnobal

      Spatial Modeling for Resources Framework (SMRF) was developed at the USDA Agricultural Research Service (ARS) in Boise, ID, and was designed to increase the flexibility of taking measured weather data and distributing the point measurements across a watershed.

      National Land Cover Database 2011 (NLCD 2011)

        National Land Cover Database 2011 (NLCD 2011) is the most recent national land cover product created by the Multi-Resolution Land Characteristics (MRLC) Consortium, providing the capability to assess national land cover changes and trends across the United States from 2001 to 2011 at a spatial resolution of 30 meters, based primarily on a decision-tree classification of circa 2011 Landsat satellite data.

        NLET - National Load Estimating Tool

          NLET (National Load Estimating Tool) is a web-based tool for estimating pollutant loads in watersheds across the contiguous United States. This tool helps visualize the effects of land use patterns, cultivated crops, and conservation practices through graphical representation.

          Data from: Shoot transcriptome of the giant reed, Arundo donax

            The giant reed, *Arundo donax*, is a perennial grass species that has become an invasive plant in many countries. To establish a foundational molecular dataset, an llumina Hi-Seq protocol was used to sequence the transcriptome of actively growing shoots from an invasive genotype collected along the Rio Grande River, bordering Texas and Mexico. The assembly of 27,491 high confidence transcripts (≥200 bp) are reported with at least 70% coverage of known genes in other Poaceae species.

            Land Use Strata - Selected States

              The United States Department of Agriculture (USDA), National Agricultural Statistics Service (NASS) area sampling frame is a delineation of all parcels of land for the purpose of later sampling the parcels. The area frame is constructed by visually interpreting satellite imagery to divide a state into homogenous land use areas (strata) based on percent cultivated. The strata are typically defined as low, medium or high percent cultivated, non-agricultural land, urban use, agri-urban, or water. This site provides links to download ESRI shape and symbology layer files, as well as low resolution JPEG or higher resolution PDF images for each state.

              RCA Report - Interactive Data Viewer

                This site supports the Soil and Water Resources Conservation Act (RCA) by providing data from a variety of sources, including data on the status and trends of natural resources, conservation efforts (funding and conservation practices applied), and the agricultural sector. Reports can be created at the State, Regional, or National level.