Spatial-Temporal Variations in Vegetation and Their Responses to Climatic and Anthropogenic Factors in Upper Reaches of the Yangtze River during 2000 to 2019

[1]  Yuyu Zhou,et al.  An extended time series (2000–2018) of global NPP-VIIRS-like nighttime light data from a cross-sensor calibration , 2020, Earth System Science Data.

[2]  H. Vijith,et al.  Applicability of MODIS land cover and Enhanced Vegetation Index (EVI) for the assessment of spatial and temporal changes in strength of vegetation in tropical rainforest region of Borneo , 2020 .

[3]  Lunche Wang,et al.  Vegetation dynamics and the relations with climate change at multiple time scales in the Yangtze River and Yellow River Basin, China , 2020 .

[4]  Wei Yang,et al.  Multiple spatio-temporal patterns of vegetation coverage and its relationship with climatic factors in a large dam-reservoir-river system , 2019, Ecological Engineering.

[5]  Wenfu Peng,et al.  Quantifying influences of natural factors on vegetation NDVI changes based on geographical detector in Sichuan, western China , 2019, Journal of Cleaner Production.

[6]  Feng-Min Li,et al.  Impacts of climate change and human activities on grassland vegetation variation in the Chinese Loess Plateau. , 2019, The Science of the total environment.

[7]  Shouzhang Peng,et al.  Detecting and attributing vegetation changes on China’s Loess Plateau , 2017 .

[8]  A. Bao,et al.  Vegetation dynamics and responses to climate change and human activities in Central Asia. , 2017, The Science of the total environment.

[9]  R. An,et al.  Vegetation dynamics and its driving forces from climate change and human activities in the Three-River Source Region, China from 1982 to 2012. , 2016, The Science of the total environment.

[10]  J. Canadell,et al.  Greening of the Earth and its drivers , 2016 .

[11]  H. Fraga,et al.  Examining the relationship between the Enhanced Vegetation Index and grapevine phenology , 2014 .

[12]  Cristina Aguilar,et al.  NDVI as an indicator for changes in water availability to woody vegetation , 2012 .

[13]  N. Dessay,et al.  Can a 25-year trend in Soudano-Sahelian vegetation dynamics be interpreted in terms of land use change? A remote sensing approach , 2011 .

[14]  Wei Zhang,et al.  Spatio-temporal changes of ≥ 10°C accumulated temperature in northeastern China since 1961 , 2011 .

[15]  I. C. Prentice,et al.  Evaluation of the terrestrial carbon cycle, future plant geography and climate‐carbon cycle feedbacks using five Dynamic Global Vegetation Models (DGVMs) , 2008 .

[16]  J. Comiso,et al.  Relationship between satellite-derived land surface temperatures, arctic vegetation types, and NDVI , 2008 .