Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Monitoring the Spatio-Temporal Changes of Can Gio Mangrove Forest Using Google Earth Engine
Mangrove forests take the important role in coastal protection by collecting sediment from rivers and streams and slowing down the flow of water, provide protection and shelter against extreme weather events such as storm winds, floods, and protect human communities farther inland from natural disasters. Thus, monitoring spatiotemporal changes of mangrove forests is essential to provide managers/decision-makers with valuable information to effectively manage mangrove ecosystem. The objective of this study is to monitor the spatio-temporal changes of mangrove forest in the Can Gio biosphere reserve in Vietnam using Landsat data and Google Earth Engine cloud computing platform based on random forest algorithm. The classified mangrove forest map of Can Gio had an overall accuracy greater than 81% when validated with ground reference data. The results indicated mangrove forests has increased approximately 89.5% in the period of 1988 to 2018. The increase in forested land proved the success in forest planting and protection of local authorities. The obtained results of this study are likely to be useful for the sustainable management of Can Gio mangrove forests to balance the benefits of economic development, environmental protection, and biodiversity conservation.
Monitoring the Spatio-Temporal Changes of Can Gio Mangrove Forest Using Google Earth Engine
Mangrove forests take the important role in coastal protection by collecting sediment from rivers and streams and slowing down the flow of water, provide protection and shelter against extreme weather events such as storm winds, floods, and protect human communities farther inland from natural disasters. Thus, monitoring spatiotemporal changes of mangrove forests is essential to provide managers/decision-makers with valuable information to effectively manage mangrove ecosystem. The objective of this study is to monitor the spatio-temporal changes of mangrove forest in the Can Gio biosphere reserve in Vietnam using Landsat data and Google Earth Engine cloud computing platform based on random forest algorithm. The classified mangrove forest map of Can Gio had an overall accuracy greater than 81% when validated with ground reference data. The results indicated mangrove forests has increased approximately 89.5% in the period of 1988 to 2018. The increase in forested land proved the success in forest planting and protection of local authorities. The obtained results of this study are likely to be useful for the sustainable management of Can Gio mangrove forests to balance the benefits of economic development, environmental protection, and biodiversity conservation.
Monitoring the Spatio-Temporal Changes of Can Gio Mangrove Forest Using Google Earth Engine
Lecture Notes in Civil Engineering
Reddy, J. N. (Herausgeber:in) / Wang, Chien Ming (Herausgeber:in) / Luong, Van Hai (Herausgeber:in) / Le, Anh Tuan (Herausgeber:in) / Phuc, Vu Hoang Dinh (Autor:in) / Khoi, Dao Nguyen (Autor:in)
28.07.2020
10 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
Monitoring Illegal Logging Using Google Earth Engine in Sulawesi Selatan Tropical Forest, Indonesia
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