17 - 22 July, 2022 • Physical: Kuala Lumpur Convention Centre (KLCC), Kuala Lumpur, Malaysia • Hybrid: Online Platform

Preserving Our Heritage, Enabling Our Future Through Remote Sensing

17 - 22 July, 2022 • Physical: Kuala Lumpur Convention Centre (KLCC), Kuala Lumpur, Malaysia • Hybrid: Online Platform

MO5.V10.5

DEEP LEARNING MODELS IN FOREST MAPPING USING MULTITEMPORAL SAR AND OPTICAL SATELLITE DATA

Shaojia Ge, Hong Gu, Weimin Su, Nanjing University of Science and Technology, China; Jaan Praks, Aalto University, Finland; Lönnqvist Anne, Oleg Antropov, VTT Technical Research Centre of Finland, Finland
Session:
Forest and Vegetation: Application and Modeling I Oral Virtual
Track:
Land Applications
Location:
Virtual Room 10
Presentation Time:
Mon, 18 Jul, 20:50 - 21:05 Malaysia Time (UTC +8)
Mon, 18 Jul, 14:50 - 15:05 Central European Time (UTC +1)
Mon, 18 Jul, 12:50 - 13:05 UTC
Mon, 18 Jul, 08:50 - 09:05 Eastern Time (UTC -5)
Session Co-Chairs:
Jose-Luis Bueso-Bello, German Aerospace Center (DLR) and Jie Zhou, Central China Normal University
Session Manager:
Marianne Masli
Presentation
Discussion
Resources
No resources available.
Session MO5.V10
MO5.V10.1: FUEL MOISTURE CONTENT FORECASTING USING LONG SHORT-TERM MEMORY(LSTM) MODEL
Zhenyu Kang, Miao Jiao, Zijie Zhou, University of Electronic Science and Technology of China, China
MO5.V10.2: EXTRAPOLATING THE SPATIAL DISTRIBUTION OF ENDEMIC FIR REVERSELY FROM THE WINDBREAK EFFECT OF TERRAIN-SHELTERBELT ON RED CYPRESS
Bao-Hua Shao, Hung Li, Nan-Chang Lo, Kai-Yi Huang, National Chung-Hsing University, Taiwan
MO5.V10.3: QUANTIFYING THE UNCERTAINTY OF SHORT-TERM VEGETATION ANOMALIES DETECTION USING EO-BASED COARSE-RESOLUTION VEGETATION PRODUCTS
Jie Zhou, Xuan Liu, Xuqian Xiong, Yilin Cui, Central China Normal University, China; Li Jia, Jing Lu, Chinese Academy of Sciences, China
MO5.V10.4: TROPICAL FORESTS MAPPING WITH TANDEM-X AND DEEP LEARNING METHODS
Jose-Luis Bueso-Bello, Daniel Carcereri, Michele Martone, Carolina González, Paola Rizzoli, German Aerospace Center (DLR), Germany
MO5.V10.5: DEEP LEARNING MODELS IN FOREST MAPPING USING MULTITEMPORAL SAR AND OPTICAL SATELLITE DATA
Shaojia Ge, Hong Gu, Weimin Su, Nanjing University of Science and Technology, China; Jaan Praks, Aalto University, Finland; Lönnqvist Anne, Oleg Antropov, VTT Technical Research Centre of Finland, Finland
MO5.V10.6: FEASIBILITY OF USING LANDSAT SYNTHETIC IMAGES TO CLASSIFY TREE SPECIES IN SOUTHWEST SICHUAN, CHINA
Rui He, Binbin He, Yue Shi, Zili Wang, Xiaoying Lai, University of Electronic Science and Technology of China, China; Liang Chen, Troop 61287, China