TUP2.PF.10
New approach to develop a standardized precipitation evapotranspiration index (SPEI) in Vietnam applying Machine Learning
Tien Le, H Ruda Nie, Haobo Li, Duc Trinh Tran, Chayn Sun, Suelynn Choy, Royal Melbourne Institute of Technology University, Australia; Yuriy Kuleshov, The Australian Bureau of Meteorology, Australia
Session:
TUP2.PF: Change Detection Algorithms II Poster
Track:
Data Analysis
Location:
Poster Area
Presentation Time:
Tuesday, 5 August, 14:30 - 15:45
Presentation
Discussion
Resources
No resources available.
Session TUP2.PF
TUP2.PF.1: Analysis of Coastal Land Cover Changes using Machine Learning Classifiers and Landsat Data
Challa S B Haranadh, Karnamadakala Agasthya, Gaddiparthi Laxman Chowdary, Greeshma Lingam, Naina Narang, GITAM Deemed to be University, India
TUP2.PF.2: A NOVEL METHOD FOR NORMALIZED DIFFERENCE VEGETATION INDEX VIA ENHANCED WHITTAKER SMOOTHING FRAMEWORK
Zhifan Zhang, Xiang Li, Xinling Wen, Xiaoyu Zhang, Ning Zheng, Fei Wang, Zhengzhou University of Aeronautics, China
TUP2.PF.4: AN EVALUATION OF DYNAMIC TIME WARPING TO SUPPORT REMOTELY SENSED ET FORECASTS
Will Carrara, OpenET, United States; Robin Fishman, Adam Purdy, Alberto Guzman, California State University Monterey Bay, United States; Conor Doherty, NASA Ames Research Center, United States; Charles Morton, Desert Research Institute, United States; Forrest Melton, NASA Ames Research Center, United States
TUP2.PF.5: Change Aware and Semantic Cross-Refine Model for Remote Sensing Image Change Captioning
Lanxiao Wang, Ziyi Wang, Heqian Qiu, Minjian Zhang, Hongliang Li, University of Electronic Science and Technology of China, China
TUP2.PF.6: PSGTNet: Leveraging PCA-KMeans and Graph-Based Attention for Hyperspectral Change Detection
xukun Lu, Puhong Duan, Bin Deng, Xudong Kang, Hunan University, China
TUP2.PF.7: MSFANet: A Multi-Scale Feature Alignment Model For Optical/SAR Change Detection
YU DUAN, Kaimin Sun, Wei Cui, Tao He, Yingjiao Tan, Wuhan University, China; Heng Zhang, Tengyuan Coal Co., Ltd., China
TUP2.PF.8: A NOVEL SELF-SUPERVISED APPROACH FOR HETEROGENEOUS IMAGE CHANGE DETECTION
Chang Liu, Gang Li, Xueqian Wang, Tsinghua University, China; Zhipeng Wu, Aerospace Information Research Institute, Chinese Academy of Sciences, China; Zhihao Wang, Tsinghua University, China
TUP2.PF.9: FGDI-NET: A NOVEL FLOOD DETECTION METHOD FUSING GLOBAL DEEP INFORMATION
Liansong Zhang, Zhonghuai Zhou, Yao Dai, Yufen Niu, Zhong Lu, Jinqi Zhao, China University of Mining and Technology, China
TUP2.PF.10: New approach to develop a standardized precipitation evapotranspiration index (SPEI) in Vietnam applying Machine Learning
Tien Le, H Ruda Nie, Haobo Li, Duc Trinh Tran, Chayn Sun, Suelynn Choy, Royal Melbourne Institute of Technology University, Australia; Yuriy Kuleshov, The Australian Bureau of Meteorology, Australia
TUP2.PF.11: Mapping Cotton Crops Using Recurrent Neural Networks and Transformer Models on Spectro-Temporal Surfaces from Planet NICFI Imagery
Osmar Abílio de Carvalho Junior, Osmar Carvalho, Tauana Santos, Nathaly Ribeiro, Anesmar Albuquerque, Guilherme Ribeiro, University of Brasília, Brazil
TUP2.PF.12: CNN AND LSTM-BASED FORECASTING OF NDVI TRENDS FOR ENVIRONMENTAL MONITORING
Robert-Ionut Vatasoiu, Daniela Faur, National University of Science and Technology Politehnica Bucharest, Romania
Resources
No resources available.