Y
Yun Bai
Researcher at Qingdao University
Publications - 43
Citations - 831
Yun Bai is an academic researcher from Qingdao University. The author has contributed to research in topics: Environmental science & Biology. The author has an hindex of 10, co-authored 32 publications receiving 344 citations. Previous affiliations of Yun Bai include Chinese Academy of Sciences.
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NDVI anomaly for drought monitoring and its correlation with climate factors over Mongolia from 2000 to 2016
Lkhagvadorj Nanzad,Lkhagvadorj Nanzad,Jiahua Zhang,Battsetseg Tuvdendorj,Battsetseg Tuvdendorj,Mohsen Nabil,Mohsen Nabil,Sha Zhang,Yun Bai +8 more
TL;DR: In this paper, the authors have mapped the drought severity and its spatial distribution over Mongolia based on the normalized difference vegetation index (NDVI) anomaly during the growing season for 2000 to 2016.
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Assessment of climate impact on vegetation dynamics over East Africa from 1982 to 2015.
Wilson Kalisa,Tertsea Igbawua,Tertsea Igbawua,Malak Henchiri,Shahzad Ali,Sha Zhang,Sha Zhang,Yun Bai,Yun Bai,Jiahua Zhang +9 more
TL;DR: Seasonally, the short rainy season showed the higher variability in NDVI than the long rainy season, while the DJF, MAM and SON seasons are strongly driven by precipitation variation effect of ENSO versus NDVI series.
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Monitoring drought using composite drought indices based on remote sensing
TL;DR: Wang et al. as discussed by the authors proposed composite drought indices using multivariable linear regression (MCDIs) to integrate Tropical Rainfall Measuring Mission (TRMM) derived precipitation, Global Land Data Assimilation System Version 2.1 (GLDAS-2.1) derived soil moisture, Moderate Resolution Imaging Spectroradiometer (MODIS) derived land surface temperature (LST) and normalized difference vegetation index (NDVI) from 2013 to 2017 (March to September).
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The potential of remote sensing-based models on global water-use efficiency estimation: An evaluation and intercomparison of an ecosystem model (BESS) and algorithm (MODIS) using site level and upscaled eddy covariance data
Shanshan Yang,Jiahua Zhang,Sha Zhang,Sha Zhang,Jingwen Wang,Yun Bai,Yun Bai,Fengmei Yao,Huadong Guo +8 more
TL;DR: In this article, the authors evaluated 8-day and annual WUE from MODIS and BESS among different sites, land cover types and climate zones using the FLUXNET2015 dataset as reference.
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Review of flood disaster studies in Nepal: A remote sensing perspective
Til Prasad Pangali Sharma,Jiahua Zhang,Upama Ashish Koju,Sha Zhang,Yun Bai,Madan Krishna Suwal +5 more
TL;DR: In this paper, the authors reviewed the previous studies on flood disaster at the regional and national level and compare with the global context, and found several studies carried out on flood in Nepal, mostly based on field-based data, except few that have used current state-of-art, remote sensing method, using satellite images.