Abstract
Soil is an essential, non-renewable natural resource that provides vital goods and services for ecosystems, human life, and the production of crops and fuels. The phenomena of land consumption and land use change have a considerable impact on ecosystems. In addition, the poor and confusing regulatory framework contributes to the spread of processes related to soil sealing, such as the wild installation of wind farms, resulting in an increasing fragmentation of the territory with related phenomena of soil degradation.
The research work has proposed an innovative methodological approach on issues related to land consumption and land use change, based on a robust territorial and landscape study. The whole research has been focused on the use and integration between geographic information systems and remote sensing techniques for the study of the territory. The increasing availability of cartographic data and the evolution of satellite data is the basis of a system that provides a continuous phase of analysis of the phenomenon. The work defines the picture of the phenomenon in Basilicata, investigating various aspects of land consumption, going into specific detail of some sample areas. The objective was the application of remote sensing techniques and change detection analysis for the qualitative and quantitative estimation of land take related to degradation phenomena. The methodologies and data developed in this work, could be the basis for the creation of a regional database on soil consumption, which could be made up of a robust infrastructure of spatial data and could provide a service and a system of data collection and collect data and reports from citizens, companies, institutions, research organizations, would support public bodies in the definition of policies, strategies and actions aimed at the containment of the phenomenon and would implement, in addition, measures of limitation, prevention, monitoring and mitigation of the same.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Marquard, E., et al.: Land consumption and land take: enhancing conceptual clarity for evaluating spatial governance in the EU context. Sustainability 12, 8269 (2020). https://doi.org/10.3390/SU12198269
Schatz, E.M., Bovet, J., Lieder, S., Schroeter-Schlaack, C., Strunz, S., Marquard, E.: Land take in environmental assessments: recent advances and persisting challenges in selected EU countries. Land Use Policy (2021). https://doi.org/10.1016/j.landusepol.2021.105730
Seto, K., Güneralp, B., Hutyra, L.R.: Global forecasts of urban expansion to 2030 and direct impacts on biodiversity and carbon pools. Natl. Acad Sci. (2012). https://doi.org/10.1073/pnas.1211658109
Keesstra, S.D., et al.: The significance of soils and soil science towards realization of the United Nations Sustainable Development Goals. Soil 2, 111–128 (2016). https://doi.org/10.5194/soil-2-111-2016
Las Casas, G., Scorza, F., Murgante, B.: New urban agenda and open challenges for urban and regional planning. In: Calabrò, F., Della Spina, L., Bevilacqua, C. (eds.) ISHT 2018. SIST, vol. 100, pp. 282–288. Springer, Cham (2019). https://doi.org/10.1007/978-3-319-92099-3_33
Nolè, G., Murgante, B., Calamita, G., Lanorte, A., Lasaponara, R.: Evaluation of urban sprawl from space using open source technologies. Ecol. Inform. 26, 151–161 (2015). https://doi.org/10.1016/J.ECOINF.2014.05.005
Pacheco, F.A.L., Sanches Fernandes, L.F., Valle Junior, R.F., Valera, C.A., Pissarra, T.C.T.: Land degradation: multiple environmental consequences and routes to neutrality. Curr. Opin. Environ. Sci. Heal. 5, 79–86 (2018). https://doi.org/10.1016/J.COESH.2018.07.002
COM/2016/0767 final - 2016/0382 (COD)$ - Publications Office of the EU. https://op.europa.eu/it/publication-detail/-/publication/151772eb-b7e9-11e6-9e3c-01aa75ed71a1/language-en. Accessed 23 Nov 2021
Abuelaish, B., Olmedo, M.T.C.: Scenario of land use and land cover change in the Gaza Strip using remote sensing and GIS models. Arab. J. Geosci. 9(4), 1–14 (2016). https://doi.org/10.1007/s12517-015-2292-7
Puertas, O.L., Henríquez, C., Meza, F.J.: Assessing spatial dynamics of urban growth using an integrated land use model. Application in Santiago Metropolitan Area, 2010–2045. Land Use Policy 38, 415–425 (2014). https://doi.org/10.1016/j.landusepol.2013.11.024
Saganeiti, L., Favale, A., Pilogallo, A., Scorza, F., Murgante, B.: Assessing urban fragmentation at regional scale using sprinkling indexes. Sustainability 10, 3274 (2018). https://doi.org/10.3390/su10093274
Morabito, M., Crisci, A., Guerri, G., Messeri, A., Congedo, L., Munafò, M.: Surface urban heat islands in Italian metropolitan cities: tree cover and impervious surface influences. Sci. Total Environ. 751, 142334 (2021). https://doi.org/10.1016/j.scitotenv.2020.142334
Le Houérou, H.N.: Climate change, drought and desertification. J. Arid Environ. 34, 133–185 (1996). https://doi.org/10.1006/JARE.1996.0099
Pilogallo, A., Saganeiti, L., Scorza, F., Murgante, B.: Soil ecosystem services and sediment production: the Basilicata region case study. In: Gervasi, O., et al. (eds.) ICCSA 2020. LNCS, vol. 12253, pp. 421–435. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-58814-4_30
Cillis, G., et al.: Soil erosion and land degradation in rural environment: a preliminary GIS and remote-sensed approach. In: Gervasi, O., et al. (eds.) ICCSA 2021. LNCS, vol. 12954, pp. 682–694. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-86979-3_48
Santarsiero, V., et al.: A remote sensing methodology to assess the abandoned arable land using NDVI index in Basilicata region. In: Gervasi, O., et al. (eds.) ICCSA 2021. LNCS, vol. 12954, pp. 695–703. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-86979-3_49
Santarsiero, V., Nolè, G., Lanorte, A., Tucci, B., Baldantoni, P., Murgante, B.: Evolution of soil consumption in the municipality of Melfi (southern Italy) in relation to renewable energy. In: Misra, S., et al. (eds.) ICCSA 2019. LNCS, vol. 11621, pp. 675–682. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-24302-9_48
Di Palma, F., Amato, F., Nolè, G., Martellozzo, F., Murgante, B.: A SMAP supervised classification of landsat images for urban sprawl evaluation. ISPRS Int. J. Geo-Inform. 5, 109 (2016). https://doi.org/10.3390/IJGI5070109
Murgante, B., Borruso, G., Lapucci, A.: Sustainable development: concepts and methods for its application in urban and environmental planning. Stud. Comput. Intell. 348, 1–15 (2011). https://doi.org/10.1007/978-3-642-19733-8_1
Baldantoni, P., Nolè, G., Lanorte, A., Tucci, B., Santarsiero, V., Murgante, B.: Trend definition of soil consumption in the period 1994–2014 - municipalities of Potenza, Matera and Melfi. In: Misra, S., et al. (eds.) ICCSA 2019. LNCS, vol. 11621, pp. 683–691. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-24302-9_49
Santarsiero, V., Nolè, G., Lanorte, A., Tucci, B., Cillis, G., Murgante, B.: Remote Sensing and Spatial Analysis for Land-Take Assessment in Basilicata Region (Southern Italy) (2022). https://doi.org/10.3390/rs14071692
Statuto, D., Cillis, G., Picuno, P.: Using historical maps within a GIS to analyze two centuries of rural landscape changes in southern Italy. Land 6, 65 (2017). https://doi.org/10.3390/LAND6030065
Cillis, G., Tucci, B., Santarsiero, V., Nolè, G., Lanorte, A., Ballesta, J.: Understanding Land Changes for Sustainable Environmental Management: The Case of Basilicata Region (Southern Italy) (2021). https://doi.org/10.3390/pollutants1040018
Tucci, B., et al.: Assessment and monitoring of soil erosion risk and land degradation in arable land combining remote sensing methodologies and RUSLE factors. In: Gervasi, O., et al. (eds.) ICCSA 2021. LNCS, vol. 12954, pp. 704–716. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-86979-3_50
Adam, E., Mutanga, O., Odindi, J., Abdel-Rahman, E.M.: Land-use/cover classification in a heterogeneous coastal landscape using RapidEye imagery: evaluating the performance of random forest and support vector machines classifiers. Int. J. Remote Sens. 35(10), 3440–3458 (2014). https://doi.org/10.1080/01431161.2014.903435
Aung, H.P.P., Aung, S.T.: Analysis of land cover change detection using satellite images in Patheingyi Township. In: Zin, T., Lin, J.W. (eds.) Big Data Analysis and Deep Learning Applications, vol. 744. Springer, Singapore (2019). https://doi.org/10.1007/978-981-13-0869-7_41
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Santarsiero, V., Lanorte, A., Nolè, G., Cillis, G., Murgante, B. (2022). Land Use Change Evaluation in an Open-Source GIS Environment: A Case Study of the Basilicata Region (Southern Italy). In: Gervasi, O., Murgante, B., Hendrix, E.M.T., Taniar, D., Apduhan, B.O. (eds) Computational Science and Its Applications – ICCSA 2022. ICCSA 2022. Lecture Notes in Computer Science, vol 13376. Springer, Cham. https://doi.org/10.1007/978-3-031-10450-3_31
Download citation
DOI: https://doi.org/10.1007/978-3-031-10450-3_31
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-10449-7
Online ISBN: 978-3-031-10450-3
eBook Packages: Computer ScienceComputer Science (R0)