TH4.R1.3

AI-Based Framework for Comprehensive Monitoring of Forest Degradation in the Sundarban Region Using Multi-Temporal Remote Sensing Data

Pratham Nagvekar, Chirag Malde, Aryan Pardeshi, Sahil Ninawe, Anagha Aher, A. P. Shah Institute of Technology, Thane, India
Session:
TH4.R1: Virtual Poster Session 2 Poster
Track:
Data Analysis Methods
Location:
JASMIN
Presentation Time:
Thu, 23 Apr, 13:00 - 13:30 Morocco Time (UTC +1)
Thu, 23 Apr, 21:00 - 21:30 Japan Time (UTC +9)
Thu, 23 Apr, 12:00 - 12:30 UTC
Thu, 23 Apr, 08:00 - 08:30 New York Time (UTC -4)
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Session TH4.R1
TH4.R1.1: Hybrid Physics-ML Framework for Pan-Arctic Permafrost Infrastructure Risk at Record 2.9-Million Observation Scale
Boris Kriuk, Hong Kong University of Science and Technology, Hong Kong SAR of China
TH4.R1.2: GEO-ENVIRONMENTAL CONTROLS ON GULLY EROSION: A RANDOM FOREST APPROACH IN THE SROU BASIN (MIDDLE ATLAS, MOROCCO)
HASNA ELOUDI, Mohammed Hssaisoune, Ibn Zohr University, Morocco; Mariem Ismaili, Mustapha Ouayah, Mustapha Namous, Samira Krimissa, Sultan Moulay Slimane University, Morocco
TH4.R1.3: AI-Based Framework for Comprehensive Monitoring of Forest Degradation in the Sundarban Region Using Multi-Temporal Remote Sensing Data
Pratham Nagvekar, Chirag Malde, Aryan Pardeshi, Sahil Ninawe, Anagha Aher, A. P. Shah Institute of Technology, Thane, India
TH4.R1.4: SPATIOTEMPORAL DYNAMICS AND PRIMARY DRIVERS OF DEFORESTATION IN THE DRY MONSOON FORESTS: A CASE STUDY OF ANURADHAPURA, SRI LANKA (2000–2024).
Hashana Senevirathne, Chamod Wijesiri, Thirilojanan Keerthi, University of Moratuwa, Sri Lanka
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