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International Geoscience and Remote Sensing Symposium

In 2021 a joint initiative of Belgium and The Netherlands

TU2.MM-16.5

DEVELOPMENT OF GRIDDED REFERENCE GRAPHICS USING MACHINE LEARNING AND A CUSTOMIZED GEOPROCESSING WORKFLOW

Adam Johantges, Bryan Jonas, Christopher Oxendine, Matthew O'Banion, United States Military Academy, United States
Session:
Advanced Algorithms for Geospatial Data Analysis
Track:
Data Analysis Methods (Optical, Multispectral,Hyperspectral, SAR)
Presentation Time:
Tue, 13 Jul, 11:20-11:25 (UTC)
Tue, 13 Jul, 13:20-13:25 Central Europe Summer Time (UTC +2)
Tue, 13 Jul, 19:20-19:25 China Standard Time (UTC +8)
Tue, 13 Jul, 07:20-07:25 Eastern Daylight Time (UTC -4)
Session Co-Chairs:
Meiliu Wu, University of Wisconsin and Bo Peng , University of Wisconsin-Madison
Session Manager:
Axel Deijns
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Session TU2.MM-16
TU2.MM-16.1: High-quality fast compression algorithm based on fractal-wavelet
Zheng Wang, Bo Gao, PeiCheng Wang, Xun Gong, Ling Tong, University of Electronic Science and Technology of China, China
TU2.MM-16.2: GEOSPATIAL DATA ANALYSIS FOR GLOBAL MARITIME RISK ASSESSMENT USING THE DISCRETE GLOBAL GRID SYSTEM
Andrew Rawson, University of Southampton, United Kingdom; Zoheir Sabeur, Bournemouth University, United Kingdom; Mario Brito, University of Southampton, United Kingdom
TU2.MM-16.3: SPATIAL DATA PARTITIONING METHOD BASED ON SPATIO-TEMPORAL AND SEMANTIC FEATURES
Yan Zhou, Xu Wang, MengDou Qin, Cong Zhang, School of Resources and Environment, University of Electronic Science and Technology of China, China
TU2.MM-16.4: AGGLUTINATION OF SUB-BASINS USING SHREVE ORDER
Sergio Rosim, National Institute for Space Research (INPE), Brazil; Monica De Martino, Institute of Applied Mathematics and Information Technologies - IMATI, Italy
TU2.MM-16.5: DEVELOPMENT OF GRIDDED REFERENCE GRAPHICS USING MACHINE LEARNING AND A CUSTOMIZED GEOPROCESSING WORKFLOW
Adam Johantges, Bryan Jonas, Christopher Oxendine, Matthew O'Banion, United States Military Academy, United States
TU2.MM-16.6: CONSTRUCTION OF SPATIOTEMPORAL KNOWLEDGE GRAPH FOR EMERGENCY DECISION MAKING
Jiahui Chen, Xingtong Ge, Weichao Li, Ling Peng, Aerospace Information Reasearch Institute, Chinese Academy of Sciences, China
TU2.MM-16.7: LANDSLIDE RISK CLASSIFICATION BASED ON ENSEMBLE MACHINE LEARNING
Leiyu Dai, University of Electronic Science and Technology of China, China; Mingcang Zhu, Department of Natural Resources of Sichuan Province, China; Zhanyong He, Yong He, Sichuan Research Institute for Eco-system Restoration & Geo-hazard Prevention, China; Zezhong Zheng, University of Electronic Science and Technology of China, China; Guoqing Zhou, Guilin University of Technology, China; Chao Wang, University of Electronic Science and Technology of China, China; Juan Ren, Hongqiong Tang, Sichuan Research Institute for Eco-system Restoration & Geo-hazard Prevention, China; Qiang Liu, Fang Huang, University of Electronic Science and Technology of China, China; Zhongnian Li, Central China Normal University, China; Mujie Li, Zhiyong Wang, Mingqi Li, Ling Jiang, University of Electronic Science and Technology of China, China
TU2.MM-16.8: DETERMINING THE OPTIMUM LOCATION FOR LANDFILL SITE IN BUTUAN CITY USING GIS-BASED ANALYSIS
Arturo Cauba, Myrnalyn Badbad, Caraga State University, Philippines
TU2.MM-16.9: IMPERVIOUS LAND COVER PATTERN AND ITS IMPACT ON URBAN WATER LOGGING: CASE OF NEW DELHI, INDIA
Harkesh Paras Dewangan, Surabhi Mehrotra, Maulana Azad National Institute of Technology Bhopal, India

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