Quantitatively distinguishing the impact of climate change and human activities on vegetation in mainland China with the improved residual method-Reference-Cited by-同舟云学术

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Quantitatively distinguishing the impact of climate change and human activities on vegetation in mainland China with the improved residual method

Published:2021-01-12 Issue:2 Volume:58 Page:235-260
ISSN:1548-1603
Container-title:GIScience & Remote Sensing
language:en
Short-container-title:GIScience & Remote Sensing

Author:

Zhang Yahai¹,Ye Aizhong¹

Affiliation:

1. State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing, China

Funder

National Key Research and Development Program of China

Second Tibetan Plateau Scientific Expedition and Research Program

Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/15481603.2021.1872244

Reference106 articles.

1. Intercomparison of AVHRR GIMMS3g, Terra MODIS, and SPOT-VGT NDVI Products over the Mongolian Plateau

2. NDVI-Based Long-Term Vegetation Dynamics and Its Response to Climatic Change in the Mongolian Plateau

3. Global evaluation of four AVHRR–NDVI data sets: Intercomparison and assessment against Landsat imagery

4. Can a 25-year trend in Soudano-Sahelian vegetation dynamics be interpreted in terms of land use change? A remote sensing approach

5. Forests and Climate Change: Forcings, Feedbacks, and the Climate Benefits of Forests

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