An automated computational methodology to extract cropland fields from WELD processed Landsat 5 TM and Landsat 7 ETM+ time series was developed. In 2010 for all the CONUS a total of 4,182,777 fields were extracted with mean and median field sizes of 0.193 km2 and 0.278 km2 respectively. The results were validated by comparison with field boundaries manually digitized from Landsat 5 and Google-Earth high resolution imagery. The overall per-pixel crop field classification accuracy was 92.7% and the overall crop field producer's and user's accuracies were 93.7% and 94.9%. Comparing all the reference and extracted field objects, 81.4% were correctly matched and the extracted field sizes were on average underestimated by 1.2% relative to the reference field objects.
Spatial Coverage: Conterminous United States
Temporal Coverage: 2010 (December 2009 to November 2010)
Resolution: Field objects extracted from 30m Landsat data
Projection: Albers coordinate system
Tiling system: 5000 × 5000 30m tiles with WELD horizontal and vertical tile coordinates in the filename(http://globalmonitoring.sdstate.edu/projects/weld/)
Data Types: int-32 and unit 8 (see below)
Data Format: binary
Yan, L. and Roy, D. P., 2016, Conterminous United States crop field size quantification from multi-temporal Landsat data, Remote Sensing of Environment, 172, 67-86.
http://www.sciencedirect.com/science/article/pii/S0034425715301851.
Priniciple Investigator: David Roy
Project Information
| PROJECT NAME | Principal Investigator | INSTITUTION |
|---|---|---|
| Changing Field Sizes of the Conterminous United States, a Decennial Landsat Assessment | David Roy | Michigan State University |