An Improved Estimation of Regional Fractional Woody/Herbaceous Cover Using Combined Satellite Data and High-Quality Training Samples

An Improved Estimation of Regional Fractional Woody/Herbaceous Cover Using Combined Satellite Data and High-Quality Training Samples

Mapping vegetation cover is critical for understanding and monitoring ecosystem functions in semi-arid biomes. As existing estimates tend to underestimate the woody cover in areas with dry deciduous shrubland and woodland, we present an approach to improve the regional estimation of woody and herbac...

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Bibliographic Details
Main Authors: Xu Liu, Hongyan Liu, Shuang Qiu, Xiuchen Wu, Yuhong Tian, Qian Hao
Format: Article
Language:English
Published: MDPI AG 2017-01-01
Series:Remote Sensing
Subjects:
vegetation fractional cover
semi-arid area
MODIS
satellite data integration
spatial sampling design
image classification
Random Forest regression
model performance evaluation
Online Access:http://www.mdpi.com/2072-4292/9/1/32

Internet

http://www.mdpi.com/2072-4292/9/1/32

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