Semi-automated mangrove mapping at National-Scale using Sentinel-2, Sentinel-1, and SRTM data with Google Earth Engine: A case study in Thailand-Reference-Cited by-同舟云学术

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

Published:2024-09 Issue:3 Volume:27 Page:555-564
ISSN:1110-9823
Container-title:The Egyptian Journal of Remote Sensing and Space Sciences
language:en
Short-container-title:The Egyptian Journal of Remote Sensing and Space Sciences

Author:

Pinkeaw Surachet,Boonrat Pawita^ORCID,Koedsin Werapong,Huete Alfredo^ORCID

Funder

Electricity Generating Authority of Thailand

Publisher

Elsevier BV

Reference63 articles.

1. Contribution of mangroves to coastal carbon cycling in low latitude seas;Alongi;Agric. For. Meteorol.,2015

2. Development and application of a new mangrove vegetation index (MVI) for rapid and accurate mangrove mapping;Baloloy;ISPRS J. Photogramm. Remote Sens.,2020

3. Advancing the spatiotemporal assessment of mangrove ecosystem using machine learning approaches-case study of a coastal megacity, Mumbai, India;Baviskar;Earth Sp. Sci. Open Arch.,2022

4. Carbon stock assessment of mangroves using remote sensing and geographic information system;Bindu;Egypt. J. Remote Sens. Space. Sci.,2020

5. Random forests;Breiman;Mach. Learn.,2001

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