FR2.S1.5
REMOTE SENSING OF MANGROVES IN SAUDI ARABIA: MAPPING EXTENT AND ESTIMATING BIOMASS WITH SENTINEL AND GEDI DATA
Abdulrahman Aljurbua, King Abdulaziz City for Science and Technology, United States; Charles Elachi, California Institute of Technology, United States
Session:
FR2.S1: Remote Sensing for Coastal Sustainability II Oral
Track:
Community-Contributed Sessions
Location:
Sky: Room S1
Presentation Time:
Friday, 8 August, 11:30 - 11:45
Session Co-Chairs:
Shan Wei, The University of Hong Kong and Jing Ling, Guangdong University of Technology
Presentation
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Discussion
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Session FR2.S1
FR2.S1.1: OFFSHORE MARICULTURE MONITORING AND ZONING POLICY EVALUATION: A REMOTE SENSING DATA AND AI-DRIVEN APPROACH
Qingling Zhang, Zewen Mo, Yulin Chen, Xuan Zhang, Zhipan Wang, Sun Yat-sen University, China
FR2.S1.2: IMPACT OF ATMOSPHERIC CORRECTION FOR TURBIDITY ESTIMATION IN COASTAL WATERS WITH SENTINEL-2 DATA AND AI TECHNIQUES
Elisa Liparulo, Pietro Di Stasio, University of Sannio, Italy; Francesca Razzano, University of Naples Parthenope, Italy; Simona Reale, University of Sannio, Italy; Gilda Schirinzi, University of Naples Parthenope, Italy; Paolo Gamba, University of Pavia, Italy; Silvia Liberata Ullo, University of Sannio, Italy
FR2.S1.3: MANGROVE’S CONTRIBUTION TO PEOPLE IN SOUTHEAST ASIA
Shan Wei, Hongsheng Zhang, The University of Hong Kong, China
FR2.S1.4: MAPPING SAUDI ARABIA MANGROVE FORESTS AND ESTIMATING THEIR CARBON STOCKS USING VERY HIGH-RESOLUTION SATELLITE DATA AND REMOTE SENSING TECHNIQUES
Eiman Alomar, Eyad Hammad, Bader Khlaiwi, Hussein Almashouq, Saudi Arabian Oil Company, Saudi Arabia
FR2.S1.5: REMOTE SENSING OF MANGROVES IN SAUDI ARABIA: MAPPING EXTENT AND ESTIMATING BIOMASS WITH SENTINEL AND GEDI DATA
Abdulrahman Aljurbua, King Abdulaziz City for Science and Technology, United States; Charles Elachi, California Institute of Technology, United States
Resources
No resources available.