S
Shanshan Yang
Researcher at Chinese Academy of Sciences
Publications - 28
Citations - 335
Shanshan Yang is an academic researcher from Chinese Academy of Sciences. The author has contributed to research in topics: Environmental science & Biology. The author has an hindex of 7, co-authored 15 publications receiving 105 citations.
Papers
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Journal ArticleDOI
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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Effects of five years’ nitrogen deposition on soil properties and plant growth in a salinized reed wetland of the Yellow River Delta
TL;DR: Wang et al. as discussed by the authors investigated soil chemical properties, soil enzyme activities and plant growth parameters after five years of atmospheric nitrogen (N) deposition in a salinized reed wetland.
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Evaluating global ecosystem water use efficiency response to drought based on multi-model analysis.
Shanshan Yang,Jiahua Zhang,Jiahua Zhang,Jiaqi Han,Jingwen Wang,Sha Zhang,Yun Bai,Dan Cao,Lan Xun,Minxuan Zheng,Hao Chen,Chi Xu,Yuejing Rong +12 more
TL;DR: Four WUE datasets from different remote sensing-driven (RS-driven) models and three drought indices are used to comprehensively investigate the response of WUE to drought and its dominant ecosystem processes during the period of 2001-2018 and suggest multi-model analysis tend to reduce uncertainties in analyzing WUE response to drought caused by a single WUE data.
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Integrating remote sensing-based process model with environmental zonation scheme to estimate rice yield gap in Northeast China
TL;DR: Wang et al. as mentioned in this paper presented an improved remote sensing approach to assess regional rice YG in northeast China during the period from 2006 to 2017, where a satellite-based biophysical model (BEPS) was used to derive the actual yield (Ya) and its spatial patterns.
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Evaluation of Temperature Vegetation Dryness Index on Drought Monitoring Over Eurasia
TL;DR: A comparison of TVDI with drought records demonstrated that the TVDI could capture drought events in study area, and a negative correlation between TVDI and SPEIs was detected in most land-cover types, except for evergreen broadleaf forest and deciduous needleaf forest.