IEEE IGARSS 2022 || Kuala Lumpur, Malaysia || 17

TU6.V9: Estimation Methods and Applications

Tue, 19 Jul, 21:35 - 22:45 Malaysia Time (UTC +8)
Tue, 19 Jul, 15:35 - 16:45 Central European Time (UTC +1)
Tue, 19 Jul, 13:35 - 14:45 UTC
Tue, 19 Jul, 09:35 - 10:45 Eastern Time (UTC -5)

Location: Virtual Room 9

Session Type: Multimedia Virtual

Session Co-Chairs: Ademir Marques Jr, Unisinos University and Zhen Song, University of Maryland

Session Manager: Mohd Naqdyuzen Nordin

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

TU6.V9.1: SOFT WEIGHTED ORDINAL CLASSIFICATION FOR MONOCULAR HEIGHT ESTIMATION IN REMOTE SENSING IMAGE

Yingchao Feng, Xian Sun, Wenhui Diao, Jihao Li, Xin Gao, Kun Fu, Aerospace Information Research Institute, Chinese Academy of Sciences, China; Tao Xu, Aerospace Information Research Institute, Chinese Academy of Sciences, China

TU6.V9.2: DC-GAN FOR FRACTURE DATA GENERATION BASED ON SEGMENTED OUTCROP IMAGES ACQUIRED FROM UAV

Ademir Marques Jr, Graciela Racolte, Vinicius Sales, Luiz Gonzaga Jr, Maurício Veronez, Unisinos University, Brazil; Caroline Cazarin, Cenpes Petrobras, Brazil

TU6.V9.3: FILLING CLOUD GAPS IN SATELLITE AOD RETRIEVALS USING AN LSTM CNN-AUTOENCODER MODEL

Jacob Daniels, Colleen Bailey, Lu Liang, University of North Texas, United States

TU6.V9.4: All-Sky Top-of-Atmosphere albedo estimation over ocean based on MODIS

Zhen Song, Shunlin Liang, University of Maryland, United States; Hongmin Zhou, Beijing Normal University, China

TU6.V9.5: WHERE DO HUMANS BUILD LEVEES? A CASE STUDY ON THE CONTIGUOUS UNITED STATES

Masato Ikegawa, Tristan Hascoet, Tetsuya Takiguchi, Kobe University, Japan; Victor Pellet, Observatoire de Paris, France; Megumi Watanabe, Xudong Zhou, Yoshiaki Tanaka, Dai Yamazaki, The University of Tokyo, Japan

TU6.V9.6: UNDERSTANDING URBAN WATER CONSUMPTION USING REMOTELY SENSED DATA

Shaswat Mohanty, Anirudh Vijay, Stanford University, United States; Shailesh Deshpande, Tata Research Development and Design Centre, India

TU6.V9.7: A REVISED MODIS-GPP ALGORITHM BY INCORPORATING SEASONAL FLUCTUATION OF MAXIMUM LIGHT USE EFFICIENCY FOR MAIZE AND SOYBEAN

Lingxiao Huang, Yazhen Jiang, Ronglin Tang, State Key Laboratory of Resources and Environment Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, China; Meng Liu, Key Laboratory of Agricultural Remote Sensing, Ministry of Agriculture and Rural Affairs, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, China

TU6.V9.8: ESTIMATING HOURLY FULL-COVERAGE HIMAWARI-8 AHI AOD WITH SPATIOTEMPORAL RANDOM FOREST MODEL

Zichun Jin, Jin Ma, Ji Zhou, University of Electronic Science and Technology of China, China; Shaofei Wang, Shanghai Spaceflight Institute of TT&C and Telecommunication, China

TU6.V9.9: Assessment of Atmospheric Correction Methods for Sentinel-2 MSI Images Applied to Chlorophyll-a Retrieval in an Eutrophic Reservoir

Alba German, Giuliana Beltramone, C. Marcelo Scavuzzo, Anabella Ferral, Mario Gulich Institute (CONAE-UNC), Argentina; Michal Shimoni, Signal and Image Center, Belgian Royal Military Academy (SIC-RMA), Belgium; Lino A. Sander de Carvalho, Meteorology Department, Federal University of Rio de Janeiro (UFRJ), Brazil; Matías Bonansea, National Council of Scientific Research and Technology (CONICET), Argentina

TU6.V9.10: AGRICULTURE LAND APPRAISAL WITH USE OF REMOTE SENSING AND INFRASTRUCTURE DATA

Nataliia Kussul, Andrii Shelestov, Hanna Yailymova, Sophia Drozd, National Technical University of Ukraine “Igor Sikorsky Kiev Polytechnic Institute”, Ukraine; Leonid Shumilo, University of Maryland, United States