| TAZ-TFG-2023-1852 |
IDENTIFICACIÓN DE PARCELAS AGRÍCOLAS ABANDONADAS EN LA COMARCA DEL MATARRAÑA-MATARRANYA MEDIANTE TELEDETECCIÓN Y TÉCNICAS DE APRENDIZAJE ARTIFICIAL
Lázaro Gómez, Javier
Rodrigues Mimbrero, Marcos (dir.)
Universidad de Zaragoza,
FFYL,
2023
Geografía y Ordenación del Territorio department, Análisis Geográfico Regional area
Graduado en Geografía y Ordenación del Territorio
Tipo de Trabajo Académico: Trabajo Fin de Grado
Notas: 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.
Notas: 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.
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