FCD-AttResU-Net: An improved forest change detection in Sentinel-2 satellite images using attention residual U-Net

Author:

Kalinaki KassimORCID,Malik Owais Ahmed,Ching Lai Daphne Teck

Funder

Universiti Brunei Darussalam

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Computers in Earth Sciences,Earth-Surface Processes,Global and Planetary Change

Reference65 articles.

1. Machine-learning modelling of fire susceptibility in a forest-agriculture mosaic landscape of southern India;Achu;Ecol. Inform.,2021

2. Deep learning-based semantic segmentation of urban-scale 3D meshes in remote sensing: A survey;Adam;Int. J. Appl. Earth Obs. Geoinf.,2023

3. Automatic forest change detection through a bi-annual time series of satellite imagery: Toward production of an integrated land cover map;Alonso;Int. J. Appl. Earth Obs. Geoinf.,2023

4. Monitoring deforestation in Jordan using deep semantic segmentation with satellite imagery;Alzu'bi;Ecol. Inform.,2022

5. Remote sensing analysis on primary productivity and forest cover dynamics: A Western Ghats India case study;Baldo;Ecol. Inform.,2023

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