Interactive map
Interactive map for South Carolina Pasture and Grass. Use the map controls to pan and zoom.
Interactive map for South Carolina Pasture and Grass. Use the map controls to pan and zoom.
Data Source:
U.S. Department of Agriculture, Climate Hubs. “Rangeland Analysis Platform.” Southwest Climate Hub.
https://rangelands.app
Risk Management Agency. (2026). RMA Map Viewer [Interactive map]. U.S. Department of Agriculture.
https://public-rma.fpac.usda.gov/apps/MapViewer/index.html
Royal, K (2026). South Carolina Pasture and Grass [Interactive map]. CU-CAT Maps, Clemson University Center for Agricultural Technology. Retrieved October 8, 2026, from https://maps.cuagtech.com/sc-pasture/
Kevin Royal
CU-CAT Maps is developed and hosted by the Clemson University Center for Agricultural Technology (CU-CAT), in partnership with Clemson Cooperative Extension Service.
CU-CAT provides the mapping platform. The hosted dataset and dataset-specific content presented on this page are maintained by Kevin Royal. CU-CAT's role in creating, verifying, or maintaining hosted data varies by page. For questions about the data presented here, contact Kevin Royal.
CU-CAT Maps and its maps, reports, and results are provided as-is for informational purposes. Accuracy and completeness are not guaranteed. Users are responsible for evaluating the source data and outputs and assume the risks arising from their use. See the Terms of Use.
Have feedback about CU-CAT Maps, want to discuss whether a dataset may be a good fit for the platform, or have a dataset or topic you would like to see mapped? Email CU-CAT. Hosting and support depend on alignment with CU-CAT's mission, project scope, and available capacity.
© 2025-2026 Clemson University Center for Agricultural Technology (CU-CAT) and Clemson Cooperative Extension Service
Use the controls above the map to choose what to display, how to display it, and what to save or report.
Regions colors each mapped area according to its value or category. Use it for exact regional comparisons, popups, labels, and reporting.
Surface estimates a continuous pattern from values associated with the mapped regions. Use it to explore broad spatial trends rather than to infer exact values between regions.
Start simply: choose the view and variable first. Open Advanced only when you need to adjust classification, colors, opacity, interpolation, or other display settings.
Exported map images include the data layers and legend but omit third-party basemap tiles.
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