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International Geoscience and Remote Sensing Symposium

In 2021 a joint initiative of Belgium and The Netherlands

TH2.MM-1.6

Flood Prediction Using Inverse Distance Weighted Interpolation of K-Nearest Neighbor Points

Satria Nusa Paradilaga, Margaretha Sulistyoningsih, Universitas Atma Jaya Yogyakarta, Indonesia; Rosbintarti Kartika Lestari, Institute for Globally Distributed Open Research and Education (IGDORE), Tokyo, Japan & RONIN Institute, Japan; Agatha Padma Laksitaningtyas, Universitas Atma Jaya Yogyakarta, Indonesia
Session:
Machine Learning Applications in Parameter Estimation
Track:
Data Analysis Methods (Optical, Multispectral,Hyperspectral, SAR)
Presentation Time:
Thu, 15 Jul, 11:25-11:30 (UTC)
Thu, 15 Jul, 13:25-13:30 Central Europe Summer Time (UTC +2)
Thu, 15 Jul, 19:25-19:30 China Standard Time (UTC +8)
Thu, 15 Jul, 07:25-07:30 Eastern Daylight Time (UTC -4)
Session Co-Chairs:
Patricia O'Byrne, Technological University Dublin and Lina Zhuang, University of Hong Kong
Session Manager:
Kasra Rafiezadeh Shahi
Presentation
Discussion
Resources
Session TH2.MM-1
TH2.MM-1.1: ATTENTION NEURAL NETWORK SEMBLANCE VELOCITY AUTO PICKING WITH REFERENCE VELOCITY CURVE DATA AUGMENTATION
Chenyu Qiu, Bangyu Wu, Delin Meng, Xu Zhu, Xi’an Jiaotong University, China; Meng Li, Nan Qin, Research Institute of Petroleum Exploration & Development, China
TH2.MM-1.2: TCLNET: LEARNING TO LOCATE TYPHOON CENTER USING DEEP NEURAL NETWORK
Chao Tan, Chongqing University of Technology, China
TH2.MM-1.3: Utility of derivative analysis and LSTM for prediction of decay trend of pleurotus eryngii in hyperspectral imagery
Chia-Jui Wang, Chao-Cheng Wu, National Taipei University of Technology, Taiwan; Min-Shao Shih, Tsang-Sen Liu, Council of Agriculture, Executive Yuan, Taiwan; Yen-Chieh Ouyang, National Chung Hsing University, Taiwan
TH2.MM-1.4: MACHINE LEARNING TECHNIQUES USING ENVIROMENTAL DATA FROM REMOTE SENSING APPLIED TO MODELING DENGUE RISK IN BRAZIL
Joaquim Bauxell, Mercè Vall-llossera, Universitat Politècnica de Catalunya, Spain; Hellen Gurgel, University of Brasilia, Brazil
TH2.MM-1.5: AN EXTREME LEARNING MACHINE CORRECTION NETWORK FOR HIGH PRECISION SATELLITE ATTITUDE DETERMINATION
Kailang Cao, Jiaojiao Li, Rui Song, Yunsong Li, Weijiao Jiang, Xidian University, China
TH2.MM-1.6: Flood Prediction Using Inverse Distance Weighted Interpolation of K-Nearest Neighbor Points
Satria Nusa Paradilaga, Margaretha Sulistyoningsih, Universitas Atma Jaya Yogyakarta, Indonesia; Rosbintarti Kartika Lestari, Institute for Globally Distributed Open Research and Education (IGDORE), Tokyo, Japan & RONIN Institute, Japan; Agatha Padma Laksitaningtyas, Universitas Atma Jaya Yogyakarta, Indonesia
TH2.MM-1.7: TRANSFER LEARNING PERFORMANCE FOR REMOTE PASTURELAND TRAIT ESTIMATION IN REAL-TIME FARM MONITORING
Patricia O'Byrne, Patrick Jackman, Damon Berry, Technological University Dublin, Ireland; Hector-Hugo Franco-Peña, University College Dublin, Ireland; Michael French, Tanco Autowrap, Ireland; Robert John Ross, Technological University Dublin, Ireland
TH2.MM-1.8: GENERATING THE CLOUD MOTION WIND FIELD FROM SATELLITE CLOUD IMAGERY USING DEEP LEARNING APPROACH
Chao Tan, Chongqing University of Technology, China
TH2.MM-1.9: ANGULAR NORMALIZATION OF LAND SURFACE TEMPERATURE USING FEATURE-SPACE METHOD
Yuanjian Teng, Huazhong Ren, Xin Ye, Jinshun Zhu, Qiming Qin, Peking University, China; Yonggang Qian, Chinese Academy of Sciences, China
TH2.MM-1.10: POTIONENTIAL OF SPECTRAL INDICES FOR HALOPHYTE VEGETATION COVER DETECTION IN ARID AND SALT-AFFECTED LANDSCAPE
Zahra M. Al-ali, Arabian Gulf University, Bahrain; Abderrazak Bannari, Space-Pix Map, Canada; Ali El-Battay, International Centre of Bio-saline Agriculture, United Arab Emirates; Hameid Nadir, Arabian Gulf University, Bahrain

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