Combining Multi-Source Remotely Sensed Data and a Process-Based Model for Forest Aboveground Biomass Updating
Author:
Publisher
MDPI AG
Subject
Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry
Link
http://www.mdpi.com/1424-8220/17/9/2062/pdf
Reference68 articles.
1. Global climate change and carbon balance in forest ecosystems of boreal zones: Simulation modeling as a forecast tool
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4. Combining remote sensing imagery and forest age inventory for biomass mapping
5. Mapping Aboveground Biomass in Northern Japanese Forests Using the ALOS PRISM Digital Surface Model
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