Satellite-Observed Increase in Aboveground Carbon over Southwest China during 2013-2021 by Lei Fan, Guanyu Dong, Frédéric Frappart, Jean-Pierre Wigneron, Yuemin Yue, Xiangming Xiao, Yao Zhang, Shengli Tao, Lin Cao, Yuechen Li, Mingguo Ma, Hongqian Fang, Ling Yu, Zanpin Xing, Xiaojun Li, Weiyu Shi, Xiuzhi Chen, Rasmus Fensholt

“…Over the past 4 decades, Southwest China has the fast vegetation growth and aboveground biomass carbon (AGC) accumulation, largely attributed to the active implementation of ecological projects. …”
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Monitoring the Reduced Resilience of Forests in Southwest China Using Long-Term Remote Sensing Data by Hao Jiang, Lisheng Song, Yan Li, Mingguo Ma, Lei Fan

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Spatiotemporal Dynamics of Terrestrial Vegetation and Its Driver Analysis over Southwest China from 1982 to 2015 by Chunhui Duan, Jinghao Li, Yanan Chen, Zhi Ding, Mingguo Ma, Jing Xie, Li Yao, Xuguang Tang

“…Global environmental changes have been dramatic recently, exerting substantial effects on the structures and functions of terrestrial ecosystems, especially for the ecologically-fragile karst regions. Southwest China is one of the largest karst continuum belts around the world, which also contributes about 1/3 of terrestrial carbon sequestration to China. …”
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Attribution of Extreme Drought Events and Associated Physical Drivers across Southwest China Using the Budyko Framework by Xupeng Sun, Jinghan Wang, Mingguo Ma, Xujun Han

“…In recent years, southwest China has frequently experienced agricultural droughts; these have significantly impacted the economy and the ecological environment. …”
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Monitoring of Extreme Agricultural Drought of the Past 20 Years in Southwest China Using GLDAS Soil Moisture by Xupeng Sun, Peiyu Lai, Shujing Wang, Lisheng Song, Mingguo Ma, Xujun Han

“…In this work, the extreme drought events in southwest China were analysed by the Global Land Data Assimilation System (GLDAS) root zone soil moisture data set. …”
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Estimating and Interpreting Fine-Scale Gridded Population Using Random Forest Regression and Multisource Data by Yun Zhou, Mingguo Ma, Kaifang Shi, Zhenyu Peng

“…In this study, the random forest model was applied to multisource data to estimate the population distribution in impervious areas at a 30 m spatial resolution in Chongqing, Southwest China. The community population data from the Chinese government were used to validate the estimation accuracy. …”
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Mapping a Paddy Rice Area in a Cloudy and Rainy Region Using Spatiotemporal Data Fusion and a Phenology-Based Algorithm by Rongkun Zhao, Yuechen Li, Jin Chen, Mingguo Ma, Lei Fan, Wei Lu

“…However, the availability of high-quality remotely sensed paddy rice growing area data is limited due to frequent cloud cover and rain over the southwest China. In order to overcome these limitations, we propose a paddy rice field mapping method by combining a spatiotemporal fusion algorithm and a phenology-based algorithm. …”
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Population Genetic Analysis of <i>Paris polyphylla</i> var. <i>yunnanensis</i> Based on cpDNA Fragments by Dan Wang, Yu Huang, Lu Rui, Huihui Du, Junsheng Qi, Mingguo Ma, Nong Zhou

“…<i>yunnanensis</i> is a well-known medicinal plant that is mainly distributed in Southwest China; however, its genetic diversity and biodiversity processes are poorly understood. …”
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Evaluation of the High-Resolution MuSyQ LAI Product over Heterogeneous Land Surfaces by Dandan Li, Yajun Huang, Yao Xiao, Min He, Jianguang Wen, Yuanqing Li, Mingguo Ma

“…Therefore, to evaluate the precision and uncertainty of MuSyQ LAI, an up-scaling strategy was employed here to validate MuSyQ LAI for three mountain regions in Southwest China. The validation strategy can be divided into three parts. …”
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Land Use Change and Climate Variation in the Three Gorges Reservoir Catchment from 2000 to 2015 Based on the Google Earth Engine by Binfei Hao, Mingguo Ma, Shiwei Li, Qiuping Li, Dalei Hao, Jing Huang, Zhongxi Ge, Hong Yang, Xujun Han

“…What is more, the climate change was affected by regional climate change in Southwest China. Marked changes in land use have occurred in the TGRC, and they have resulted in changes in the LST and SINDVI. …”
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Estimating Aboveground Carbon Dynamic of China Using Optical and Microwave Remote-Sensing Datasets from 2013 to 2019 by Zhongbing Chang, Lei Fan, Jean-Pierre Wigneron, Ying-Ping Wang, Philippe Ciais, Jérôme Chave, Rasmus Fensholt, Jing M. Chen, Wenping Yuan, Weimin Ju, Xin Li, Fei Jiang, Mousong Wu, Xiuzhi Chen, Yuanwei Qin, Frédéric Frappart, Xiaojun Li, Mengjia Wang, Xiangzhuo Liu, Xuli Tang, Sanaa Hobeichi, Mengxiao Yu, Mingguo Ma, Jianguang Wen, Qing Xiao, Weiyu Shi, Dexin Liu, Junhua Yan

“…At the regional level, provinces in southwest China including Guizhou (+22.35 Tg C year−1), Sichuan (+14.49 Tg C year−1), and Hunan (+11.42 Tg C year−1) provinces had the highest carbon sink rates during 2013 to 2019. …”
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