Zoom to the national scale map, choose the year that you want to download and click on the "Download Defined Area of Interest Data" button on the toolbar. Respond "yes" to the download confirmation question. The downloadable file will be a Winzip compressed file containing the CDL in a GeoTIFF (TIF) file format. As an alternative to CropScape, a national CDL mosaic in an Erdas Imagine IMG file format is available for download on the SARS National Download webpage.
When downloading the CDL using the NRCS Geospatial Data Gateway, all available years of CDL production for the requested state are included in a single compressed WinZIP file. Geospatial Data Gateway technical restrictions do not allow us to offer the CDL by individual state/year. The zip file will include all years of CDL data for the requested state in a GeoTIFF (.tif) file format projected in UTM and the accompanying metadata.
Prior to 2006, the Landsat TM/ETM categorized images were co-registered to MDA/EarthSat Inc's ortho-rectified GeoCover Stock Mosaic images using automated block correlation techniques. The resulting correlations were applied to each categorized image and then added to a master image or mosaic using NASS' in-house software, PEDITOR. The GeoCover Stock Mosaics are within 50 meters root mean squared error overall. Newer Cropland Data Layers (2006 to current) retain the spatial attributes of the input imagery. The AWiFS imagery has a positional accuracy of 60 meters at the circular error at the 90 percent confidence level (CE90). CE90 is a standard metric often used for horizontal accuracy in map products and can be interpreted as 90% of well-defined points tested must fall within a certain radial AWiFS distance. The Landsat 4/5/8 imagery is obtained via download from the USGS Global Visualization Viewer (Glovis) website ( ). Please reference the metadata on the Glovis website for each Landsat scene for positional accuracy. The majority of the Landsat data is available at Level 1T (precision and terrain corrected). The DEIMOS-1 and DMC-UK 2 imagery used in the production of the Cropland Data Layer is orthorectified to a radial root mean square error (RMSE) of approximately 10 meters. More information about the geo-positional accuracy of the ESA Sentinel-2 imagery can be found at -guides/sentinel-2-msi/performance. More information about the geo-positional accuracy of the ISRO ResourceSat-2 LISS-3 imagery can be found on page 104 of the ResourceSat2 Handbook at _data_user_handbook.pdf.
A user can summarize the area of a certain crop within a certain radius using the CropScape online tools. This can be done at the state, county level, agricultural statistics district (ASD), or region. It is also possible to define your own Area of Interest (AOI) either by using the drawing tools or importing your own shapefile. Note that the recommended projection for your imported AOI data is Albers Equal Area Conic Projection (EPS:5070). Here are the basic steps: 1. define an Area of Interest (AOI) - you can do this by state/ASD/county or use the drawing tools to create your own AOI or the Import Area of Interest to use your own shapefile 2. after defining your AOI - click on the 'Area of Interest Statistics' button on the toolbar at the top of the page 3. this brings up an acreage and pixel count summary table 4. if you would like to download a graphic of the area for a single crop or group of crops then you can place a checkmark next to the crop(s) you are interested in 5. click on the 'Export selected crop(s) for mapping' button 6. then click the 'Download' button and specify where to save the file Users should be aware of the potential limitations of acreage summaries that are based on only pixel counting. Most land cover classification datasets will contain some level of counting bias (typically downward). Pixel counting is usually downward biased when compared to the official estimates. Counting pixels and multiplying by the area of each pixel will result in biased area estimates and should be considered raw numbers needing bias correction. Official crop acreage estimates at the state and county level are available at QuickStats. Here are a list of references discussing the subject matter of pixel counting and estimation: a) Gallego F.J., 2004, Remote sensing and land cover area estimation. International Journal of Remote Sensing. Vol. 25, n. 15, pp. 3019-3047. b) European Commission, Joint Research Centre, MARS; Best practices for crop area estimation with Remote Sensing - Section 4.1.1. c) Czaplewski, R. L. (1992). Misclassification bias in areal estimates. Photogrammetric Engineering and Remote Sensing, 58, 189-192.
ArcGIS Editor for OpenStreetMap, is designed to help ArcGIS users to become active members in the growing community of users building an open and freely available database of geographic data. The ArcGIS Editor for OpenStreetMap allows you to use ArcGIS tools for working with OpenStreetMap data. You can install tools for ArcGIS Desktop, or a Feature Service component that leverages ArcGIS Server. The Desktop tools allow you to download data from the OpenStreetMap servers and store it locally in a geodatabase. You can then use the familiar editing environment of ArcGIS Desktop to create, modify, do network analysis, or delete data. Once you are done editing, you can post back the edit changes to OSM to make them available to all OSM users. The Server Component allows you to quickly create ArcGIS Server feature services based on OSM data for consuming and editing in a variety of map viewers.
Inside the style editor, there is a Share button in the top toolbar. This button will open a modal with all the available options for sharing or using your style as either a draft or production-ready style in an application. 2b1af7f3a8