Spatial Downscaling of Gross Primary Productivity Using Topographic and Vegetation Heterogeneity Information: A Case Study in the Gongga Mountain Region of China

Spatial Downscaling of Gross Primary Productivity Using Topographic and Vegetation Heterogeneity Information: A Case Study in the Gongga Mountain Region of China

Due to the spatial heterogeneity of land surfaces, downscaling is an important issue in the development of carbon cycle models when evaluating the role of ecosystems in the global carbon cycle. In this study, a downscaling algorithm was developed to model gross primary productivity (GPP) at 500 m in...

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Bibliographic Details
Main Authors: Xinyao Xie, Ainong Li, Huaan Jin, Gaofei Yin, Jinhu Bian
Format: Article
Language:English
Published: MDPI AG 2018-04-01
Series:Remote Sensing
Subjects:
downscaling
GPP
spatial heterogeneity
remote sensing
subpixel information
Online Access:http://www.mdpi.com/2072-4292/10/4/647

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