Comparing Three Remotely Sensed Approaches for Simulating Gross Primary Productivity over Mountainous Watersheds: A Case Study in the Wanglang National Nature Reserve, China

Comparing Three Remotely Sensed Approaches for Simulating Gross Primary Productivity over Mountainous Watersheds: A Case Study in the Wanglang National Nature Reserve, China

Light Use Efficiency (LUE), Vegetation Index (VI)-based, and process-based models are the main approaches for spatially continuous gross primary productivity (GPP) estimation. However, most current GPP models overlook the effects of topography on the vegetation photosynthesis process. Based on the s...

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Bibliographic Details
Main Authors: Xinyao Xie, Ainong Li, Huaan Jin, Jinhu Bian, Zhengjian Zhang, Xi Nan
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Remote Sensing
Subjects:
GPP estimation
mountainous areas
ecosystem models
remote sensing
Online Access:https://www.mdpi.com/2072-4292/13/18/3567

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