Land Use and Land Cover Classification in the Northern Region of Mozambique Based on Landsat Time Series and Machine Learning

Land Use and Land Cover Classification in the Northern Region of Mozambique Based on Landsat Time Series and Machine Learning

Accurate land use and land cover (LULC) mapping is essential for scientific and decision-making purposes. The objective of this paper was to map LULC classes in the northern region of Mozambique between 2011 and 2020 based on Landsat time series processed by the Random Forest classifier in the Googl...

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Bibliographic Details
Main Authors: Lucrêncio Silvestre Macarringue, Édson Luis Bolfe, Soltan Galano Duverger, Edson Eyji Sano, Marcellus Marques Caldas, Marcos César Ferreira, Jurandir Zullo Junior, Lindon Fonseca Matias
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:ISPRS International Journal of Geo-Information
Subjects:
Google Earth Engine
deforestation
feature selection
miombo
random forest
Online Access:https://www.mdpi.com/2220-9964/12/8/342

Internet

https://www.mdpi.com/2220-9964/12/8/342

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