Characterising the distribution of mangroves along the southern coast of Vietnam using multi-spectral indices and a deep learning model
Open Access
- 1 March 2024
- journal article
- research article
- Published by Elsevier in Science of The Total Environment
- Vol. 923, 171367
Abstract
No abstract availableKeywords
This publication has 82 references indexed in Scilit:
- Segmentation of individual mangrove trees using UAV-based LiDAR dataEcological Informatics, 2023
- Evaluation of a deep-learning model for multispectral remote sensing of land use and crop classificationThe Crop Journal, 2022
- Tracking canopy gaps in mangroves remotely using deep learningRemote Sensing in Ecology and Conservation, 2022
- Remote sensing techniques: mapping and monitoring of mangrove ecosystem—a reviewComplex & Intelligent Systems, 2021
- Aboveground biomass estimates of tropical mangrove forest using Sentinel-1 SAR coherence data - The superiority of deep learning over a semi-empirical modelComputers & Geosciences, 2021
- Discriminating trees species from the relationship between spectral reflectance and chlorophyll contents of mangrove forest in MalaysiaEcological Indicators, 2020
- Hydrological alterations from water infrastructure development in the Mekong floodplainsHydrological Processes, 2016
- World Atlas of Mangroves: Mark Spalding, Mami Kainuma and Lorna Collins (eds)Human Ecology, 2010
- Optimization of soil-adjusted vegetation indicesRemote Sensing of Environment, 1996
- A soil-adjusted vegetation index (SAVI)Remote Sensing of Environment, 1988