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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  
An improved non-linear inter-calibration method on different radiometers for enhancing coverage of daily LST estimates in low latitudes 期刊论文
REMOTE SENSING OF ENVIRONMENT, 2021, 卷号: 264, 页码: 17
Authors:  Song, Peilin;  Zhang, Yongqiang
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FY3B microwave radiation imager (FY3B-MWRI)  Brightness temperature (TB)  Land surface temperature (LST)  Fraction of water surface (FWS)  Advanced microwave scanning   Radiometer-2 (ASMR-2)  
Object-Based Area-to-Point Regression Kriging for Pansharpening 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2021, 卷号: 59, 期号: 10, 页码: 8599-8614
Authors:  Zhang, Yihang;  Atkinson, Peter M.;  Ling, Feng;  Foody, Giles M.;  Wang, Qunming;  Ge, Yong;  Li, Xiaodong;  Du, Yun
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Downscaling  geostatistics  image fusion  object-based  pansharpening  segmentation  
Surface Roughness Effect on L-Band Multiangular Brightness Temperature Modeling and Soil Liquid Water Retrieval of Frozen Soil 期刊论文
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2021, 卷号: 18, 期号: 9, 页码: 1615-1619
Authors:  Wu, Xiaojing;  Zheng, Donghai
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Frozen soil  L-band microwave radiometry  multiangular brightness temperatures  polarization mixing  soil moisture and ocean salinity (SMOS)  surface roughness  Tibetan Plateau  
Spatial Variations in Terrestrial Water Storage with Variable Forces across the Yellow River Basin 期刊论文
REMOTE SENSING, 2021, 卷号: 13, 期号: 17, 页码: 23
Authors:  Zhou, Meilin;  Wang, Xiaolei;  Sun, Lin;  Luo, Yi
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terrestrial water storage (TWS)  spatiotemporal variations  climate variability  human activities  Yellow River Basin  multivariate adaptive regression splines (MARS)  
An Improved Cloud Gap-Filling Method for Longwave Infrared Land Surface Temperatures through Introducing Passive Microwave Techniques 期刊论文
REMOTE SENSING, 2021, 卷号: 13, 期号: 17, 页码: 26
Authors:  Dowling, Thomas P. F.;  Song, Peilin;  De Jong, Mark C.;  Merbold, Lutz;  Wooster, Martin J.;  Huang, Jingfeng;  Zhang, Yongqiang
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cloud gap-filling  land surface temperature  thermal infrared  passive microwave  Kenya  
The Role of Earth Observation in Achieving Sustainable Agricultural Production in Arid and Semi-Arid Regions of the World 期刊论文
REMOTE SENSING, 2021, 卷号: 13, 期号: 17, 页码: 27
Authors:  Qader, Sarchil Hama;  Dash, Jadu;  Alegana, Victor A.;  Khwarahm, Nabaz R.;  Tatem, Andrew J.;  Atkinson, Peter M.
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agriculture  arid and semi-arid regions  crop monitoring  remote sensing  crop yield  
Spatiotemporal Monitoring of Soil CO2 Efflux in a Subtropical Forest during the Dry Season Based on Field Observations and Remote Sensing Imagery 期刊论文
REMOTE SENSING, 2021, 卷号: 13, 期号: 17, 页码: 23
Authors:  Chen, Tao;  Xu, Zhenwu;  Tang, Guoping;  Chen, Xiaohua;  Fang, Hong;  Guo, Hao;  Yuan, Ye;  Zheng, Guoxiong;  Jiang, Liangliang;  Niu, Xiangyu
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forest soil CO2 flux  satellite remote sensing data  random forest algorithm  subtropical forest ecosystem  
High-accuracy continuous mapping of surface water dynamics using automatic update of training samples and temporal consistency modification based on Google Earth Engine: A case study from Huizhou, China 期刊论文
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2021, 卷号: 179, 页码: 66-80
Authors:  Li, Kewei;  Xu, Erqi
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Surface water  Time series  Auto-updating of training samples  Temporal consistency detection  Change monitoring  Intra-annual information