Annual crop type classification of the U.S. Great Plains for 2000 to 2011
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Abstract
The purpose of this study was to increase the spatial and temporal availability of crop classification data. In this study, nearly 16.2 million crop observation points were used in the training of the US Great Plains classification tree crop type model (CTM). Each observation point was further defined by weekly Normalized Difference Vegetation Index, annual climate, and a number of other biogeophysical environmental characteristics. This study accounted for the most prevalent crop types in the region, including, corn, soybeans, winter wheat, spring wheat, cotton, sorghum, and alfalfa. Annual CTM crop maps of the US Great Plains were created for 2000 to 2011 at a spatial resolution of 250 meters. The CTM achieved an 87 percent classification success rate on 1.8 million observation points that were withheld from model training. Product validation was performed on greater than 15,000 county records with a coefficient of determination of R2 = 0.76.
| Publication type | Article |
|---|---|
| Publication Subtype | Journal Article |
| Title | Annual crop type classification of the U.S. Great Plains for 2000 to 2011 |
| Series title | Photogrammetric Engineering and Remote Sensing |
| DOI | 10.14358/PERS.80.6.537-549 |
| Volume | 6 |
| Year Published | 2014 |
| Language | English |
| Publisher | American Society for Photogrammetry and Remote Sensing |
| Contributing office(s) | Earth Resources Observation and Science (EROS) Center |
| Description | 12 p. |
| First page | 537 |
| Last page | 549 |
| Country | United States |
| Other Geospatial | Great Plains |
| Online Only (Y/N) | N |
| Additional Online Files (Y/N) | N |
| Google Analytic Metrics | Metrics page |