Automatic forest change detection through a bi-annual time series of satellite imagery: Toward production of an integrated land cover map

Author:

L. Alonso,J. Picos,J. Armesto

Publisher

Elsevier BV

Subject

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

Reference73 articles.

1. Improving the consistency of multitemporal land cover maps using a Hidden Markov Model;Abercrombie;IEEE Trans. Geosci. Remote Sens.,2015

2. Patterns and drivers of forest land cover changes in tropical semi-deciduous forests in Ghana;Addo-Fordjour;J. Land Use Sci.,2017

3. Forest land cover mapping at a regional scale using multi-temporal Sentinel-2 Imagery and RF Models;Alonso;Remote Sens.,2021

4. Automatic identification of forest disturbance drivers based on their geometric pattern in Atlantic Forests;Alonso;Remote Sens.,2022

5. Challenges in automatic forest changes through land cover mapping;Alonso;Int. J. For. Res., Pending Publication,2022

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