MOP1.PD.12

MULTI-SENSOR DEFORESTATION MONITORING AT SCALE

James Brown, Rob Coorey, Geospatial Intelligence Pty Ltd, Australia

Session:
MOP1.PD: Change Detection and Spatiotemporal Analysis for Remote Sensing Poster

Track:
AI and Big Data

Location:
Poster Area

Presentation Time:
Monday, 4 August, 14:15 - 15:45

Presentation
Discussion
Resources
No resources available.
Session MOP1.PD
MOP1.PD.1: RAGCC: REMOTE SENSING IMAGE CHANGE CAPTIONING BASED ON RAG
Ke Wang, Xidian University, China; Jinkai Cui, Sichuan Academy of Aerospace Technology, China; Chengbo Yang, Xidian University, China; Zhiruo Yu, Sichuan Aerospace Changzheng Equipment Manufacturing Co., Ltd., China; Yingping Han, Rui Yang, Chenxu Wang, Dou Quan, Shuang Wang, Xidian University, China
MOP1.PD.2: Semantic-CD: Remote Sensing Image Semantic Change Detection towards Open-vocabulary Setting
Yongshuo Zhu, Lu Li, Keyan Chen, Chenyang Liu, Fugen Zhou, Zhenwei Shi, Beihang University, China
MOP1.PD.3: CAMSDNET: CONSISTENCY-ASSISTED MULTI-SCALE DIFFERENCE-GUIDED NETWORK FOR REMOTE SENSING CHANGE DETECTION
Canbin Hu, Sida Du, Xiaokun Sun, College of Information Science and Technology, Beijing University of Chemical Technology, China, China
MOP1.PD.4: REMOTE SENSING IMAGE CHANGE DETECTION METHOD BASED ON SEGMENT ANYTHING MODEL
Haitao Li, Zongyu Yang, Haiyan Gu, Yi Yang, Hengtong Shen, Haozhu Kong, Honglin Li, Yang Wang, Chinese Academy of Surveying and Mapping, China
MOP1.PD.5: High-resolution Optical Remote Sensing Image Change Detection with Vision GNN
lunjun fan, guorui ma, bin wang, di wang, State Key Laboratory of Information Engineering in Surveying,Mapping and Remote Sensing Wuhan University, China
MOP1.PD.6: OPTIMIZED CONVLSTM FOR SPATIOTEMPORAL ANALYSIS OF EVENT-BASED DATA IN SPACE SURVEILLANCE SYSTEMS
Sara Salim, Ismail Ali, University of New South Wales at Canberra, Australia; Bassel Al Homssi, University of Sharjah, United Arab Emirates; Melrose Brown, University of New South Wales at Canberra, Australia
MOP1.PD.7: GEOFM EMBEDDING TRAJECTORIES FOR CROP-LIVESTOCK-FOREST TIME SERIES
Antonio Goulart, Luiz de Queiroz College of Agriculture, University of São Paulo, Brazil; Matheus Papa, Gustavo Bayma, Ivan Bergier, Sandra Nogueira, Brazilian Agricultural Research Corporation, Brazil; Durval Dourado Neto, Luiz de Queiroz College of Agriculture, University of São Paulo, Brazil
MOP1.PD.8: INCEPTION-BASED MODEL FOR TIME SERIES FORECASTING OF REMOTE SENSING DATA
Jingyi Huo, Yuan Gao, Fangru Lin, Hui Yan, Nanjing University of Science and Technology, China
MOP1.PD.9: STTM: AN OBJECT GROUP TEMPORAL RELATIONSHIP DESCRIPTION METHOD BASED ON SPATIAL-TEMPORAL TRANSFORMER WITH MOTION FEATURE
Qianwen Rui, Yanan You, Jingyi Cao, Beijing University of Posts and Telecommunications, China
MOP1.PD.10: NOWCASTING VOLCANIC ERUPTIONS WITH ARTIFICIAL INTELLIGENCE: INSIGHTS FROM MULTI-SENSOR SATELLITE IMAGERY
Claudia Corradino, Ciro Del Negro, INGV, Italy
MOP1.PD.11: COMPARATIVE ANALYSIS OF LEVEL 1B AND LEVEL 2 SATELLITE DATA FOR PRECIPITATION NOWCASTING USING MACHINE LEARNING METHOD
Hwayon Choi, Yong-Sang Choi, Ewha Womans University, Korea (South)
MOP1.PD.12: MULTI-SENSOR DEFORESTATION MONITORING AT SCALE
James Brown, Rob Coorey, Geospatial Intelligence Pty Ltd, Australia
Resources
No resources available.