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Integrating Landsat 7, 8 and Sentinel 2 Data in Improving Crop Type Identification and Area E stimation
Start Date:
07/01/2015
End Date:
07/01/2018
Grant Number:
ROSES-2014 NNH14ZDA001N-LCLUC
Project Call:
Multi-Source Land Imaging (MuSLI)
Science Theme:
Multi-Source Land Imaging (MuSLI)
Observations and Data
Food Security
Region:
Global
Solicitation:
LCLUC-14
Final Report:
NNX15AK65G_Final Report_April2019.pdf
Project Documents
Year
Authors
Type
Title
2017
Xiao-Peng Song
Peter Potapov
Alexander Krylov
Mary King
Steve Stehman
Matthew Hansen
Publications
Song, Xiao-Peng, Peter V. Potapov, Alexander Krylov, LeeAnn King, Carlos M. Di Bella, Amy Hudson, Ahmad Khan, Bernard Adusei, Stephen V. Stehman, and Matthew C. Hansen. "National-scale soybean mapping and area estimation in the United States using medium resolution satellite imagery and field survey." Remote Sensing of Environment 190 (2017): 383-395.
2018
Xiao-Peng Song
Publications
Song, X.P., 2018. Global Estimates of Ecosystem Service Value and Change: Taking Into Account Uncertainties in Satellite-based Land Cover Data. Ecological Economics, 143, pp.227-235.