Annual crop type classification of the U.S. Great Plains for 2000 to 2011

Photogrammetric Engineering and Remote Sensing
By:  and 

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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.

Additional publication details

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