Improvement of Mangrove Soil Carbon Stocks Estimation in North Vietnam Using Sentinel-2 Data and Machine Learning Approach

Improvement of Mangrove Soil Carbon Stocks Estimation in North Vietnam Using Sentinel-2 Data and Machine Learning Approach

Quantifying total carbon (TC) stocks in soil across various mangrove ecosystems is key to understanding the global carbon cycle to reduce greenhouse gas emissions. Estimating mangrove TC at a large scale remains challenging due to the difficulty and high cost of soil carbon measurements when the num...

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Bibliographic Details
Main Authors: Tien Dat Pham, Naoto Yokoya, Thi Thu Trang Nguyen, Nga Nhu Le, Nam Thang Ha, Junshi Xia, Wataru Takeuchi, Tien Duc Pham
Format: Article
Language:English
Published: Taylor & Francis Group 2021-01-01
Series:GIScience & Remote Sensing
Subjects:
soil carbon stocks
catboost
sentinel-2 msi
machine learning
mangrove ecosystem
vietnam
Online Access:http://dx.doi.org/10.1080/15481603.2020.1857623

Internet

http://dx.doi.org/10.1080/15481603.2020.1857623

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