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International Geoscience and Remote Sensing Symposium

In 2021 a joint initiative of Belgium and The Netherlands

TU2.MM-11.6

LAND SURFACE EMISSIVITY ESTIMATION FROM SATELLITE DATA WITH MACHINE LEARNING

Xiu-Juan Li, Hua Wu, Zhao-Liang Li, State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, China; Yong-Gang Qian, Aerospace Information Reasearch Institute, Chinese Academy of Sciences, China; Si-Bo Duan, Key Laboratory of Agri-informatics, Ministry of Agriculture/Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, China
Session:
Retrieval and Modeling of Land and Atmosphere Parameters
Track:
Data Analysis Methods (Optical, Multispectral,Hyperspectral, SAR)
Presentation Time:
Tue, 13 Jul, 11:25-11:30 (UTC)
Tue, 13 Jul, 13:25-13:30 Central Europe Summer Time (UTC +2)
Tue, 13 Jul, 19:25-19:30 China Standard Time (UTC +8)
Tue, 13 Jul, 07:25-07:30 Eastern Daylight Time (UTC -4)
Session Co-Chairs:
Michele Gazzea, Western Norway University of Applied Sciences and Lina Zhuang, University of Hong Kong
Session Manager:
EunYeol Kim
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Session TU2.MM-11
TU2.MM-11.1: ESTIMATION OF SOIL ORGANIC CARBON CONTENT BASED ON DEEP LEARNING AND QUANTILE REGRESSION
Wudi Zhao, Zhilu Wu, Zhendong Yin, Harbin Institute of Technology, China
TU2.MM-11.2: Automated 3D Vegetation Detection Along Power Lines using Monocular Satellite Imagery and Deep Learning
Michele Gazzea, Sindre Aalhus, Lars Kristensen, Western Norway University of Applied Sciences, Norway; Eren Ozguven, Florida State University, United States; Reza Arghandeh, Western Norway University of Applied Sciences, Norway
TU2.MM-11.3: AN EVAPOTRANSPIRATION MODEL FOR ARID LAND TO ESTIMATE WATER LOSS IN HOTAN RIVER BASIN
Yongmin Yang, Aihua Long, Ji Zhang, Hongxin Liu, China Institute of Water Resources and Hydropower Research, China
TU2.MM-11.4: ESTIMATION AND EVALUATION OF THE LAND SURFACE TEMPERATURE FROM FENGYUN-3 SERIES SATELLITE DATA IN NORTHWEST CHINA
Hao Tu, University of Electronic Science and Technology of China, China; Hua Li, Qinhuo Liu, Aerospace Information Reasearch Institute, Chinese Academy of Sciences, China; Ruibo Li, Shandong University of Science and Technology, China
TU2.MM-11.5: GLOBAL DAILY 500-M EVAPOTRANSPIRATION ESTIMATION OVER VEGETATED AREAS USING RNADOM FOREST FROM MODIS DATA
Zhong Peng, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, China; Ronglin Tang, Yazhen Jiang, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences; University of Chinese Academy of Sciences, China; Meng Liu, Ministry of Agriculture/Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, China
TU2.MM-11.6: LAND SURFACE EMISSIVITY ESTIMATION FROM SATELLITE DATA WITH MACHINE LEARNING
Xiu-Juan Li, Hua Wu, Zhao-Liang Li, State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, China; Yong-Gang Qian, Aerospace Information Reasearch Institute, Chinese Academy of Sciences, China; Si-Bo Duan, Key Laboratory of Agri-informatics, Ministry of Agriculture/Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, China
TU2.MM-11.7: COUPLED ESTIMATION OF DAILY GROSS PRIMARY PRODUCTION AND EVAPOTRANSPIRATION AT 84 GLOBAL FOREST SITES
Lingxiao Huang, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, China; Meng Liu, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, China; Yazhen Jiang, Ronglin Tang, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, China
TU2.MM-11.8: PRELIMINARY VALIDATION OF THE EXTENDED LONG-TERM LAND SURFACE TEMPERATURE FROM NOAA AVHRR OVER THE HEIHE RIVER BASIN, CHINA
Yongjie Wang, Jin Ma, Ji Zhou, University of Electronic Science and Technology of China, China

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