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Soil Erosion and Land Degradation in Rural Environment: A Preliminary GIS and Remote-Sensed Approach

Authors :
Beniamino Murgante
Giuseppe Cillis
Antonio Lanorte
Valentina Santarsiero
Gabriele Nolè
Francesco Scorza
Biagio Tucci
Source :
21st International Conference on Computational Science and Its Applications, ICCSA 2021, pp. 682–694, Virtual, Online, 13 September 2021 through 16 September 2021, info:cnr-pdr/source/autori:Cillis, Giuseppe; Nole, Gabriele; Lanorte, Antonio; Santarsiero, Valentina; Tucci, Biagio; Scorza, Francesco; Murgante, Beniamino/congresso_nome:21st International Conference on Computational Science and Its Applications, ICCSA 2021/congresso_luogo:Virtual, Online/congresso_data:13 September 2021 through 16 September 2021/anno:2021/pagina_da:682/pagina_a:694/intervallo_pagine:682–694, Computational Science and Its Applications – ICCSA 2021 ISBN: 9783030869786, ICCSA (6)
Publication Year :
2021
Publisher :
Springer, Berlin , Germania, 2021.

Abstract

The processes of land transformation related to soil erosion and land degradation are complex phenomena that require an approach as detailed and multidisciplinary as possible. In some Mediterranean inland areas, these issues seem to be very connected to the dynamics of transformation and abandonment of agricultural areas. In order to carry out this preliminary investigation for the assessment of dynamics and relationships between processes and land cover, an approach based on GIS and remote sensing has been applied. The study started with implementation of the Revised Universal Soil Loss Equation (RUSLE) model to calculate soil erosion on a monthly and annual basis. The resulting data were then processed through a Getis-Ord local autocorrelation index in order to produce a persistent erosion map. All datasets created were correlated with the cover classes that need more attention, i.e., arable land and post-cultivation vegetation area. All the techniques and methodologies, have been applied in a rural area of the Basilicata Region (South Italy) using exclusively a Free and Open Source Software (FoSS) GIS approach as it guarantees the possibility to perform a series of complex analyses in a simple and effective way so that they can be implemented in environmental monitoring actions and plans.

Details

Language :
English
ISBN :
978-3-030-86978-6
ISBNs :
9783030869786
Database :
OpenAIRE
Journal :
21st International Conference on Computational Science and Its Applications, ICCSA 2021, pp. 682–694, Virtual, Online, 13 September 2021 through 16 September 2021, info:cnr-pdr/source/autori:Cillis, Giuseppe; Nole, Gabriele; Lanorte, Antonio; Santarsiero, Valentina; Tucci, Biagio; Scorza, Francesco; Murgante, Beniamino/congresso_nome:21st International Conference on Computational Science and Its Applications, ICCSA 2021/congresso_luogo:Virtual, Online/congresso_data:13 September 2021 through 16 September 2021/anno:2021/pagina_da:682/pagina_a:694/intervallo_pagine:682–694, Computational Science and Its Applications – ICCSA 2021 ISBN: 9783030869786, ICCSA (6)
Accession number :
edsair.doi.dedup.....fbe0e0305d0cc5b3862bff4f5b8bbacb