@article{LázaroGómez:147498,
author = "Lázaro Gómez, Javier and Rodrigues Mimbrero, Marcos",
title = "{IDENTIFICACIÓN DE PARCELAS AGRÍCOLAS ABANDONADAS EN LA
COMARCA DEL MATARRAÑA-MATARRANYA MEDIANTE TELEDETECCIÓN Y
TÉCNICAS DE APRENDIZAJE ARTIFICIAL}",
year = "2023",
note = "Classification and regression models, together with
environmental and landscape studies and research through
remote sensing and GIS, are among the main lines of
research at present due to their capacity to address
territorial studies at regional scales. In Mediterranean
areas, their application for the analysis of the process of
agricultural land abandonment is contributing to the
monitoring and better understanding of this phenomenon. The
Matarraña/Matarranya region has undergone numerous changes
in agricultural land and vegetation in recent decades,
especially due to demographic, environmental, landscape,
economic and political factors. The present Final Degree
Project aims to create a classification model of the main
land covers involved in the dynamics of abandonment,
differentiating between crops, abandoned plots and natural
vegetation, over the period of time covering the years
1984-2015 in the Matarraña region. The collection and
analysis of the data has been through Remote Sensing and
GIS, using Landsat satellite images, and subsequent
processing through the Landtrendr and R environment.
Results have been obtained related to trends in spectral
response in terms of brightness and humidity (components of
the Tasseled Cap transformation), thus being able to
predict the evolution and identification of the various
plots in the study area with an accuracy of 80% accuracy in
the classification by Random Forest. This type of study
allows us to deepen in the multitemporal analysis of land
cover, a component of great importance to understand the
territorial dynamics for its management and planning.",
}