IEEE IGARSS 2021 || Brussels, Belgium || July 12–14, 2021 • Physical

TU2.MM-11: Retrieval and Modeling of Land and Atmosphere Parameters

Tue, 13 Jul, 11:00 - 12:10 (UTC)
Tue, 13 Jul, 13:00 - 14:10 Central Europe Summer Time (UTC +2)
Tue, 13 Jul, 19:00 - 20:10 China Standard Time (UTC +8)
Tue, 13 Jul, 07:00 - 08:10 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

Track: Data Analysis Methods (Optical, Multispectral,Hyperspectral, SAR)

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