Semi-automated mangrove mapping at National-Scale using Sentinel-2, Sentinel-1, and SRTM data with Google Earth Engine: A case study in Thailand

Semi-automated mangrove mapping at National-Scale using Sentinel-2, Sentinel-1, and SRTM data with Google Earth Engine: A case study in Thailand

Mangroves are a crucial part of the coastal ecosystem; thus, precise and up-to-date monitoring is essential to guide regional policies and inform conservation strategies. This study investigates the capabilities of semi-automated remote sensing approaches within a Google Earth Engine framework for n...

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Bibliographic Details
Main Authors: Surachet Pinkeaw, Pawita Boonrat, Werapong Koedsin, Alfredo Huete
Format: Article
Language:English
Published: Elsevier 2024-09-01
Series:Egyptian Journal of Remote Sensing and Space Sciences
Subjects:
Forest Classification
Blue Carbon
Machine learning
GEE
Satellite Imaginary
Geospatial Technique
Online Access:http://www.sciencedirect.com/science/article/pii/S111098232400053X

Internet

http://www.sciencedirect.com/science/article/pii/S111098232400053X

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