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Spatial patterns of global-scale forest root-shoot ratio and their controlling factors 期刊论文
SCIENCE OF THE TOTAL ENVIRONMENT, 2021, 卷号: 800, 页码: 12
Authors:  Ye, Junzhi;  Yue, Chao;  Hu, Yunfeng;  Ma, Hui
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Meta-analysis  Forest R  S ratio  Spatial pattern  Controlling factor  
A method for land surface temperature retrieval based on model-data-knowledge-driven and deep learning 期刊论文
REMOTE SENSING OF ENVIRONMENT, 2021, 卷号: 265, 页码: 19
Authors:  Wang, Han;  Mao, Kebiao;  Yuan, Zijin;  Shi, Jiancheng;  Cao, Mengmeng;  Qin, Zhihao;  Duan, Sibo;  Tang, Bohui
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Land surface temperature (LST)  Model-data-knowledge-driven  Deep learning  Geophysical logical reasoning  Expert knowledge  
A simple yet robust framework to estimate accurate daily mean land surface temperature from thermal observations of tandem polar orbiters 期刊论文
REMOTE SENSING OF ENVIRONMENT, 2021, 卷号: 264, 页码: 18
Authors:  Hong, Falu;  Zhan, Wenfeng;  Goettsche, Frank-M.;  Lai, Jiameng;  Liu, Zihan;  Hu, Leiqiu;  Fu, Peng;  Huang, Fan;  Li, Jiufeng;  Li, Hua;  Wu, Hua
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Land surface temperature  Thermal remote sensing  Sampling bias  Annual temperature cycle  Diurnal temperature cycle  Polar orbiters  MODIS  
Geospatial constrained optimization to simulate and predict spatiotemporal trends of air pollutants 期刊论文
SPATIAL STATISTICS, 2021, 卷号: 45, 页码: 28
Authors:  Li, Lianfa
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Constrained optimization  Domain knowledge  Spatiotemporal patterns  Air pollutant  Prediction  Uncertainty  
Estimating ecosystem maximum light use efficiency based on the water use efficiency principle 期刊论文
ENVIRONMENTAL RESEARCH LETTERS, 2021, 卷号: 16, 期号: 10, 页码: 11
Authors:  Gan, Rong;  Zhang, Lu;  Yang, Yuting;  Wang, Enli;  Woodgate, William;  Zhang, Yongqiang;  Haverd, Vanessa;  Kong, Dongdong;  Fischer, Tony;  Chiew, Francis;  Yu, Qiang
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maximum light use efficiency  water use efficiency  carbon  water  ecosystem  
Environmental flow requirements largely reshape global surface water scarcity assessment 期刊论文
ENVIRONMENTAL RESEARCH LETTERS, 2021, 卷号: 16, 期号: 10, 页码: 12
Authors:  Liu, Xingcai;  Liu, Wenfeng;  Liu, Liu;  Tang, Qiuhong;  Liu, Junguo;  Yang, Hong
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water scarcity  environmental flow  hydrological modeling  large-scale  river ecosystem  
Temporally variable parameters simulate asymmetrical interannual variation of aboveground and belowground carbon pools in an alpine meadow 期刊论文
AGRICULTURAL AND FOREST METEOROLOGY, 2021, 卷号: 307, 页码: 14
Authors:  Xu, Qian;  He, Honglin;  Ren, Xiaoli;  Zhang, Li;  Lin, Li;  Zhang, Fawei;  Cao, Guangming;  Williams, Mathew;  Ge, Rong;  Niu, Zhongen;  Lv, Yan
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Interannual variation  Temporally variable parameter  Constant parameter  Carbon sequestration  Carbon pool  Allocation parameter  
Encoder-Decoder Full Residual Deep Networks for Robust Regression and Spatiotemporal Estimation 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 卷号: 32, 期号: 9, 页码: 4217-4230
Authors:  Li, Lianfa;  Fang, Ying;  Wu, Jun;  Wang, Jinfeng;  Ge, Yong
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Bias  deep learning  encoder-decoder  full residual deep network  non-linear regression  prediction of satellite aerosol optical depth (AOD) and PM2.5  spatiotemporal modeling  
Improving terrestrial evapotranspiration estimation across China during 2000-2018 with machine learning methods 期刊论文
JOURNAL OF HYDROLOGY, 2021, 卷号: 600, 页码: 18
Authors:  Yin, Lichang;  Tao, Fulu;  Chen, Yi;  Liu, Fengshan;  Hu, Jian
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Evapotranspiration  Machine learning  process-based ET  ET integration  China  Gaussian process regression  
UAV-based individual shrub aboveground biomass estimation calibrated against terrestrial LiDAR in a shrub-encroached grassland 期刊论文
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2021, 卷号: 101, 页码: 12
Authors:  Zhao, Yujin;  Liu, Xiaoliang;  Wang, Yang;  Zheng, Zhaoju;  Zheng, Shuxia;  Zhao, Dan;  Bai, Yongfei
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Shrub encroachment  Biomass  Unmanned aerial vehicle (UAV)  Terrestrial laser scanning  Volume  Individual shrub identification