Estimating Mangrove Above-Ground Biomass Using Extreme Gradient Boosting Decision Trees Algorithm with Fused Sentinel-2 and ALOS-2 PALSAR-2 Data in Can Gio Biosphere Reserve, Vietnam

Estimating Mangrove Above-Ground Biomass Using Extreme Gradient Boosting Decision Trees Algorithm with Fused Sentinel-2 and ALOS-2 PALSAR-2 Data in Can Gio Biosphere Reserve, Vietnam

This study investigates the effectiveness of gradient boosting decision trees techniques in estimating mangrove above-ground biomass (AGB) at the Can Gio biosphere reserve (Vietnam). For this purpose, we employed a novel gradient-boosting regression technique called the extreme gradient boosting reg...

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Bibliographic Details
Main Authors: Tien Dat Pham, Nga Nhu Le, Nam Thang Ha, Luong Viet Nguyen, Junshi Xia, Naoto Yokoya, Tu Trong To, Hong Xuan Trinh, Lap Quoc Kieu, Wataru Takeuchi
Format: Article
Language:English
Published: MDPI AG 2020-02-01
Series:Remote Sensing
Subjects:
sentinel-2
alos-2 palsar-2
mangrove
above-ground biomass
extreme gradient boosting
can gio biosphere reserve
vietnam
Online Access:https://www.mdpi.com/2072-4292/12/5/777

Internet

https://www.mdpi.com/2072-4292/12/5/777

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