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
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.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: Cotton Crop Mapping in Western Bahia Using RNN and Transformer Models on Planet NICFI Spectrotemporal Time Series
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.