ESTIMATING CARBON STOCK CHANGES OF MANGROVE FORESTS USING SATELLITE IMAGERY AND AIRBORNE LiDAR DATA IN THE SOUTH SUMATRA STATE, INDONESIA

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1. Remote Sensing Approaches for Monitoring Mangrove Species, Structure, and Biomass: Opportunities and Challenges T. Pham et al. 10.3390/rs11030230
2. Estimating mangrove above-ground biomass at Maowei Sea, Beibu Gulf of China using machine learning algorithm with Sentinel-1 and Sentinel-2 data Z. Huang et al. 10.1080/10106049.2022.2102226
3. Species-based aboveground mangrove carbon stock estimation using WorldView-2 image data M. Hidayatullah et al. 10.1016/j.rsase.2023.100959
4. An Integrating Framework for Biomass and Carbon Stock Spatialization and Dynamics Assessment Using Unmanned Aerial Vehicle LiDAR (LiDAR UAV) Data, Landsat Imagery, and Forest Survey Data in the Mediterranean Cork Oak Forest of Maamora S. Fadil et al. 10.3390/land13050688
5. Mapping Mangrove Above-Ground Carbon Using Multi-Source Remote Sensing Data and Machine Learning Approach in Loh Buaya, Komodo National Park, Indonesia S. Rijal et al. 10.3390/f14010094
6. Technological opportunities for measuring and monitoring blue carbon initiatives in mangrove ecosystems R. Farzanmanesh et al. 10.1016/j.rsase.2021.100612
7. Satellite-based Mangrove species abundance estimate using Machine Learning ensemble H. Harsa et al. 10.1088/1755-1315/1276/1/012055