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2021 | OriginalPaper | Buchkapitel

A Remote Sensing Methodology to Assess the Abandoned Arable Land Using NDVI Index in Basilicata Region

verfasst von : Valentina Santarsiero, Gabriele Nolè, Antonio Lanorte, Biagio Tucci, Giuseppe Cillis, Francesco Scorza, Beniamino Murgante

Erschienen in: Computational Science and Its Applications – ICCSA 2021

Verlag: Springer International Publishing

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Abstract

European Commission in 2009 assessed that in the period 2015–2030 about 11% of agricultural land in the EU are under high potential risk of abandonment due to factors, which has strong and known environmental and socio-economic consequences. The diverse impacts of abandonment need to be addressed via a broader set of policy instruments to alleviate the negative effects or even - reverse the trends in the early stages of the process. The clear identification of abandoned agricultural land is fundamental for a correct mapping for the future management and monitoring of the territories. In this context, this study proposes an innovative method for the detection and mapping of abandoned arable land through the use of remote sensing techniques and geo-statistical analysis. The combined use of Sentinel 2 images and the Landsat constellation, the use of NDVI index and change detection analysis made it possible to identify the change in agricultural use and/or abandonment of land in the eastern part of the Basilicata region in the period 1990–2020. (Italy). All process has been developed integrating Remote Sensing and Geographic Information System (GIS), using open-source software.

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

Nächstes Kapitel Assessment and Monitoring of Soil Erosion Risk and Land Degradation in Arable Land Combining Remote Sensing Methodologies and RUSLE Factors

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Titel: A Remote Sensing Methodology to Assess the Abandoned Arable Land Using NDVI Index in Basilicata Region
verfasst von: Valentina Santarsiero
Gabriele Nolè
Antonio Lanorte
Biagio Tucci
Giuseppe Cillis
Francesco Scorza
Beniamino Murgante
Verlag: Springer International Publishing
Buch: Computational Science and Its Applications – ICCSA 2021
Print ISBN: 978-3-030-86978-6

Electronic ISBN: 978-3-030-86979-3

Copyright-Jahr: 2021
DOI: https://doi.org/10.1007/978-3-030-86979-3_49

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