Modeling forest above-ground biomass dynamics using multi-source data and incorporated models: A case study over the qilian mountains-Reference-Cited by-同舟云学术

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Modeling forest above-ground biomass dynamics using multi-source data and incorporated models: A case study over the qilian mountains

Published:2017-11 Issue: Volume:246 Page:1-14
ISSN:0168-1923
Container-title:Agricultural and Forest Meteorology
language:en
Short-container-title:Agricultural and Forest Meteorology

Author:

Tian Xin,Yan Min,van der Tol Christiaan,Li Zengyuan,Su Zhongbo,Chen Erxue,Li Xin,Li Longhui,Wang Xufeng,Pan Xiaoduo,Gao Lushuang,Han Zongtao

Funder

National Basic Research Program of China

Fundamental Research Funds

National Natural Science Foundation

Publisher

Elsevier BV

Subject

Atmospheric Science,Agronomy and Crop Science,Global and Planetary Change,Forestry

Reference75 articles.

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2. Random forests;Breiman;Mach. Learn.,2001

3. Kernel-based methods for hyperspectral image classification;Camps-Valls;IEEE Trans. Geosci. Remote Sens.,2005

4. Modelling carbon budget of Mediterranean forests using ground and remote sensing measurements;Chiesi;Agric. For. Meteorol.,2005

5. Application of Biome-BGC to simulate Mediterranean forest processes;Chiesi;Ecol. Modell.,2007

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