Using the random forest model and validated MODIS with the field spectrometer measurement promote the accuracy of estimating aboveground biomass and coverage of alpine grasslands on the Qinghai-Tibetan Plateau

Author:

Gao Xiaoxia,Dong ShikuiORCID,Li Shuai,Xu Yudan,Liu ShiliangORCID,Zhao Haidi,Yeomans Jane,Li Yu,Shen Hao,Wu Shengnan,Zhi Yangliu

Funder

Second Tibetan Plateau Scientific Expedition and Research Program

National Key R&D Program of China

Qinghai Provincial Key R&D program

Qinghai innovation platform construction project

Publisher

Elsevier BV

Subject

Ecology,Ecology, Evolution, Behavior and Systematics,General Decision Sciences

Reference48 articles.

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2. Improved monitoring of vegetation dynamics at very high latitudes: a new method using MODIS NDVI;Beck;Remote Sens. Environ.,2006

3. Random forest in remote sensing: a review of applications and future directions;Belgiu;ISPRS J. Photogramm. Remote Sens.,2016

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

5. The impact of climate change and anthropogenic activities on alpine grassland over the Qinghai-Tibet Plateau;Chen;Agric. For. Meteorol.,2014

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