SCYM: Landsat-based average soybean yield in the US

The Scalable Crop Yield Mapper (SCYM) is an algorithm that combines crop modeling and satellite-based imagery to estimate pixel-level yield estimates. SCYM is currently based on the APSIM crop model and it is implemented fort the most part using the Google Earth Engine platform. Yield estimates are available for research purposes upon request, please use contacts below for inquiries.

DATASET SUMMARY

 

Crop: soybean

Temporal Window: 2000-2015 mean

Satellite: Landsat

Resolution: 30 m/pixel

Geographical Extent: USA (currently states of Indiana, Illinois, Iowa) 

Contact: George Azzari , David Lobell

 

INTERACTIVE MAP

Average Soybean Yield (2000-2015)

© Stanford University, Stanford, California 94305.