SCYM: MODIS-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: MODIS

Resolution: 500 m/pixel

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

Contact: George Azzari , David Lobell

INTERACTIVE MAP

Average Soybean Yield (2000-2015)

RELATED PROJECTS

Satellite detection of rising maize yield heterogeneity in the U.S. Midwest

RELATED PUBLICATIONS

David B Lobell and George Azzari,
Satellite detection of rising maize yield heterogeneity in the U.S. Midwest,
Environmental Research Letters, Volume 12, Number 1
David B. Lobell, David Thau, Christopher Seifert, Eric Engle, Bertis Little,
A scalable satellite-based crop yield mapper, Remote Sensing of Environment,
Volume 164, July 2015, Pages 324-333, ISSN 0034-4257

DATA PORTAL

DATA PORTAL

SCYM: MODIS-based average soybean yield in the US

Average Soybean Yield (2000-2015)

© Stanford University, Stanford, California 94305.