Estimating Sub-Pixel Soybean Fraction from Time-Series MODIS Data Using an Optimized Geographically Weighted Regression Model

Estimating Sub-Pixel Soybean Fraction from Time-Series MODIS Data Using an Optimized Geographically Weighted Regression Model

Soybean cultivation in China has significantly decreased due to the rising import of genetically modified soybeans from other countries. Understanding soybean’s extent and change information is of great value for national agricultural policy implications and global food security. Some previous studi...

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Bibliographic Details
Main Authors: Qiong Hu, Yaxiong Ma, Baodong Xu, Qian Song, Huajun Tang, Wenbin Wu
Format: Article
Language:English
Published: MDPI AG 2018-03-01
Series:Remote Sensing
Subjects:
geographically weighted regression
sub-pixel crop area
MODIS time series
forward stepwise selection
soybeans
Heilongjiang
Online Access:http://www.mdpi.com/2072-4292/10/4/491

Internet

http://www.mdpi.com/2072-4292/10/4/491

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