FRP1.PA.2
INTEGRATING OPTICAL DATA AND DSM FOR THE IDENTIFICATION OF DISASTER-PRONE BUILDINGS IN MOUNTAINOUS REGIONS USING HIGH-RESOLUTION REMOTE SENSING IMAGERY
Zixuan Ni, Haigang Sui, Guorui Ma, Wuhan University, China; Qiming Zhou, Hong Kong Baptist University, China; Chaoxian Liu, Wuhan Polytechnic University, China; Li Hua, Huazhong Agricultural University, China
Session:
FRP1.PA: Advances in Image Analysis and Data Fusion for Earth Observation Towards Sustainable Development Goals I Poster
Track:
Community-Contributed Sessions
Location:
Poster Area
Presentation Time:
Friday, 8 August, 09:15 - 10:30
Session Co-Chairs:
Silvia Ullo, University of Sannio and Ujjwal Verma, Manipal Institute of Technology
Presentation
Discussion
Resources
No resources available.
Session FRP1.PA
FRP1.PA.1: SUMMER CROP CLASSIFICATION IN CLOUDY AREA BASED ON MULTI-TEMPORAL SENTINEL-1/2 DATA
Qiongyi Huang, Liang Li, Peng Xue, The Sixth Topographic Surveying Brigade of Ministry of Natural Resources, China
FRP1.PA.2: INTEGRATING OPTICAL DATA AND DSM FOR THE IDENTIFICATION OF DISASTER-PRONE BUILDINGS IN MOUNTAINOUS REGIONS USING HIGH-RESOLUTION REMOTE SENSING IMAGERY
Zixuan Ni, Haigang Sui, Guorui Ma, Wuhan University, China; Qiming Zhou, Hong Kong Baptist University, China; Chaoxian Liu, Wuhan Polytechnic University, China; Li Hua, Huazhong Agricultural University, China
FRP1.PA.3: Semi-supervised Urban Village Recognition from Remote Sensing Images by Integrating Low- and High-Frequency Signals
Yin Zhou, Hongyu Long, Yi Zhang, Rui Cao, The Hong Kong Univeristy of Science and Technology (Guangzhou), China
FRP1.PA.4: AUTOMATED GEOREFERENCING OF ISS NIGHTTIME IMAGES: A NOVEL TOOL FOR ANALYZING ARTIFICIAL LIGHT AT NIGHT AND ADVANCING BIODIVERSITY CONSERVATION
Raúl Pérez Parras, Universidad Complutense de Madrid, Spain
FRP1.PA.5: WHEAT YIELD PREDICTION: THE CASE STUDY OF AHMEDABAD DISTRICT USING MULTI-SOURCE DATA AND DEEP LEARNING
Apoorva Mehta, Pragneshkumar Patel, Maitrik Shah, L. D. College of Engineering, India
FRP1.PA.6: SWIM: Transfer historical monthly products for near-daily surface water dynamics monitoring using diverse multi-sensor satellite observations
Shuang Chen, Peng Gong, The University of Hong Kong, China
Resources
No resources available.