TH2.R12.1

DIGITAL AERIAL PHOTOGRAMMETRY CAN ENHANCE MONITORING EFFICIENCY OF URBAN FOREST CHANGES IN HONG KONG

Ivan H. Y. Kwong, Frankie K. K. Wong, Tung Fung, The Chinese University of Hong Kong, Hong Kong SAR China
Session:
TH2.R12: Remote Sensing for Coastal SustaInability II Oral
Track:
Community-Contributed Sessions
Location:
Room 102
Presentation Time:
Thu, 20 Jul, 10:15 - 10:27 Pacific Time (UTC -8)
Session Co-Chairs:
Hua Su, Fuzhou University and Hongsheng Zhang, University of Hong Kong (HKU)
Session Manager:
Varsha Bhosale
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Session TH2.R12
TH2.R12.1: DIGITAL AERIAL PHOTOGRAMMETRY CAN ENHANCE MONITORING EFFICIENCY OF URBAN FOREST CHANGES IN HONG KONG
Ivan H. Y. Kwong, Frankie K. K. Wong, Tung Fung, The Chinese University of Hong Kong, Hong Kong SAR China
TH2.R12.2: USING SENTINEL-2 AND STACKING REGRESSORS FOR FOREST HEIGHT ESTIMATION
João E. Pereira-Pires, School of Science and Technology, NOVA University of Lisbon, Portugal; João M. N. Silva, School of Agriculture, University of Lisbon, Portugal; André Mora, José M. Fonseca, School of Science and Technology, NOVA University of Lisbon, Portugal
TH2.R12.3: TREE SPECIES CLASSIFICATION OF POINT CLOUDS FROM DIFFERENT LASER SENSORS USING THE POINTNET++ DEEP LEARNING METHOD
Bingjie Liu, Huaguo Huang, Beijing Forestry University, China; Shuxin Chen, Xin Tian, Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, China; Min Ren, China Mobile Group Shanxi Design Institute Co., Ltd., China
TH2.R12.4: INVASIVE SPECIES REDUCE FUNCTIONAL BUT NOT SPECIES DIVERSITY OF A NATIVE MANGROVE COMMUNITY IN HONG KONG: INSIGHTS FROM AIRBORNE LIDAR DATA
Ka Hei Anson Yip, Hongsheng Zhang, The University of Hong Kong, Hong Kong SAR China
TH2.R12.5: MULTIMODAL CONTRASTIVE LEARNING FOR URBAN LAND COVER CLASSIFICATION
Rui Liu, Hongsheng Zhang, Jing Ling, The University of Hong Kong, Hong Kong SAR China
Resources
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