Analysis of past and future urban growth on a regional scale using remote sensing and machine learning

Analysis of past and future urban growth on a regional scale using remote sensing and machine learning

This research investigates Land Use and Land Cover (LULC) changes in the Porto Alegre Metropolitan Region (RMPA). A 30-year historical analysis using Landsat satellite imagery was made and used to develop LULC scenarios for the next 20 years using a Multilayer Perceptrons (MLP) model through an Arti...

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Bibliographic Details
Main Authors: Andressa Garcia Fontana, Victor Fernandez Nascimento, Jean Pierre Ometto, Francisco Hélter Fernandes do Amaral
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-09-01
Series:Frontiers in Remote Sensing
Subjects:
predicted LULC
ANN-CA
GEE
MOLUSCE
scenarios
Online Access:https://www.frontiersin.org/articles/10.3389/frsen.2023.1123254/full

Internet

https://www.frontiersin.org/articles/10.3389/frsen.2023.1123254/full

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