Integrating remote-sensed and historical geodata to assess interactions between rural buildings and agroforestry land
Abstract
The rural built heritage constitutes a unique example, due to architectural and technical issues, which plays a central role in the formation of rural landscape. In this research, interactions between rural buildings and the surrounding land have been examined. Two case studies exemplifying some of typical dynamics of some internal mountain areas of Mediterranean region have been considered. These areas are located in Basilicata Region (Southern Italy) and suffer from land and rural buildings heritage abandonment, as well as from the concurrent disappearance of agroforestry systems with high ecological value. A multi-chronological geo-database incorporating different land cover datasets over a period of 62 years (1955–1988–2008–2017) has been implemented into a GIS to assess relationships between some rural buildings and the surrounding land have been then assessed. This has been achieved by integrating different types of remote-sensed geodata: historical aerial photos, digital orthophotos and satellite images. The analyses carried out have shown that the intensity of land abandonment can also be related to the type of rural building and prevalent agricultural activity. Moreover, thanks to this methodology, it has been possible to produce several spatial information useful to support public decisionmakers at different level.
Keyword : rural built heritage, Basilicata region, agroforestry land, cartography, aerial photos, satellite images, GIS, FoSS
How to Cite
Cillis, G., Statuto, D., & Picuno, P. (2021). Integrating remote-sensed and historical geodata to assess interactions between rural buildings and agroforestry land. Journal of Environmental Engineering and Landscape Management, 29(3), 229-243. https://doi.org/10.3846/jeelm.2021.15080
This work is licensed under a Creative Commons Attribution 4.0 International License.
References
Alard, D., Bance, J.-F., & Frileux, P.-N. (1994). Grassland vegetation as an indicator of the main agro-ecological factors in a rural landscape: Consequences for biodiversity and wildlife conservation in Central Normandy (France). Journal of Environmental Management, 42(2), 91–109. https://doi.org/10.1006/jema.1994.1063
Almeida, M., Azeda, C., Guiomar, N., & Pinto-Correia, T. (2016). The effects of grazing management in montado fragmentation and heterogeneity. Agroforest Systems, 90, 69–85. https://doi.org/10.1007/s10457-014-9778-2
Amici, V., Maccherini, S., Santi, E., Torri, D., Vergari, F., & Del Monte, M. (2017). Long-term patterns of change in a vanishing cultural landscape: A GIS-based assessment. Ecological Informatics, 37, 38–51. https://doi.org/10.1016/j.ecoinf.2016.11.008
Baldantoni, P., Nolè, G., Lanorte, A., Tucci, B., Santarsiero, V., & Murgante, B. (2019). Trend definition of soil consumption in the period 1994–2014 – Municipalities of Potenza, Matera and Melfi. In S. Misra et al. (Eds.), Lecture notes in computer science: Vol. 11621. Computational science and its applications – ICCSA 2019. ICCSA 2019. Springer, Cham. https://doi.org/10.1007/978-3-030-24302-9_49
Belda-Carrasco, R., Iranzo-García, E., & Pascual-Aguilar, J. (2019). Landscape dynamics in mediterranean coastal areas: Castelló De La Plana in the last hundred years. Landscape Online, 69, 1–15. https://doi.org/10.3097/LO.201969
Belgiu, M., & Csillik, O. (2018). Sentinel-2 cropland mapping using pixel-based and object-based time-weighted. Remote Sensing of Environment, 204, 509–523. https://doi.org/10.1016/j.rse.2017.10.005
Bracchetti, L., Carotenuto, L., & Catorci, A. (2012). Land-cover changes in a remote area of central Apennines (Italy) and management directions. Landscape and Urban Planning, 104(2), 157–170. https://doi.org/10.1016/j.landurbplan.2011.09.005
Burgess, P. J., & Rosati, A. (2018). Advances in European agroforestry: results from the AGFORWARD project. Agroforestry Systems, 92, 801–810. https://doi.org/10.1007/s10457-018-0261-3
Buttoud, G., Ajayi, O. C., Detlefsen, G., Place, F., & Torquebiau, E. F. (2013). Advancing agroforestry on the policy agenda: a guide for decision-makers (Agroforestry working paper no 1). Food and Agriculture Organization of the United Nations. FAO, Rome.
Burnett, C., & Blaschke, T. (2003). A multi-scale segmentation/ object relationship modelling methodology for landscape analysis. Ecological Modelling, 168, 233–249. https://doi.org/10.1016/S0304-3800(03)00139-X
Calaciura, B., & Spinelli, O. (2008). Management of Natura 2000 habitats. 6210 Semi-natural dry grasslands and scrubland facies on calcareous substrates (Festuco-Brometalia) (* important orchid sites). European Commission.
Cillis, G., Statuto, D., & Picuno, P. (2020b). Spatial analysis of the impact of rural buildings on the agroforestry landscape using GIS. Lecture Notes in Civil Engineering, 67, 207–214. https://doi.org/10.1007/978-3-030-39299-4_23
Cillis, G., Statuto, D., & Picuno, P. (2019a). Historical maps processed into a GIS for the assessment of forest landscape dynamics. In Public recreation and landscape protection – With Sense Hand in Hand? Conference Proceeding 2019 (pp. 180– 184).
Cillis, G., Statuto, D., & Picuno, P. (2019b, March 5–7). Valorisation of historical farm buildings for protecting the rural landscape. In Proceedings of the 47th Symposium on: Actual Tasks on Agricultural Engineering – ATAE 2109 (pp. 535–544). Opatija, Croatia.
Cillis, G., Statuto, D., & Picuno, P. (2020a). Vernacular farm buildings and rural landscape: A geospatial approach for their integrated management. Sustainability, 12, 4. https://doi.org/10.3390/su12010004
Congedo, L. (2016). Semi-automatic classification plugin documentation. https://doi.org/10.13140/RG.2.2.29474.02242/1
Cousins, S. A. O. (2009). Landscape history and soil properties affect grassland decline and plant species richness in rural landscapes. Biological Conservation, 142(11), 2752–2758. https://doi.org/10.1016/j.biocon.2009.07.001
Cuba, N. (2015). Research note: Sankey diagrams for visualizing land cover dynamics. Landscape and Urban Planning, 139, 163–167. https://doi.org/10.1016/j.landurbplan.2015.03.010
DataPlotly. (2020). https://github.com/ghtmtt/DataPlotly
De Montis, A., Martín, B., Ortega, E., Ledda, A., & Serra, V. (2017). Landscape fragmentation in Mediterranean Europe: A comparative approach. Land Use Policy, 64, 83–94. https://doi.org/10.1016/j.landusepol.2017.02.028
European Network for Rural Development. (2020). Rivista Rurale Unione Europea, (17). https://enrd.ec.europa.eu/sites/enrd/files/PublicationENRDperiodical-17_it.pdf
Filizzola, C., Corrado, R., Falconieri, A., Faruolo, M., Genzano, N., Lisi, M., Mazzeo, G., Paciello, R., Pergola, N., & Tramutoli, V. (2018). On the use of temporal vegetation indices in support of eligibility controls for EU aids in agriculture. International Journal of Remote Sensing, 39(14), 4572–4598. https://doi.org/10.1080/01431161.2017.1395973
Franciosa, L. (1942). La casa rurale nella Lucania [In The rural house in Lucania Region]. Ohlski (in Italian).
Geri F., Rocchini, D., & Chiarucci, A. (2010). Landscape metrics and topographical determinants of large-scale forest dynamics in a Mediterranean landscape. Landscape and Urban Planning, 95(1–2), 46–53. https://doi.org/10.1016/j.landurbplan.2009.12.001
Gobbi, S., Cantiani, M. G., Rocchini, D., Zatelli, P., Tattoni, C., La Porta, N., & Ciolli, M. (2019). Fine spatial scale modelling of Trentino past forest landscape (Trentino land): a case study of FOSS Application. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLII-4/ W14, 71–78. https://doi.org/10.5194/isprs-archives-XLII-4-W14-71-2019
Gobbi, S., Maimeri, G., Tattoni, C., Cantiani, M. G., Rocchini, D., La Porta, N., Ciolli, M., & Zatelli, P. (2018). Orthorectification of a large dataset of historical aerial images: procedure and precision assessment in an open source environment, International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLII-4/W8, 53–59. https://doi.org/10.5194/isprs-archives-XLII-4-W8-53-2018
González-Puente, M., Campos, M., McCall, M. K., & MuñozRojas, J. (2014). Places beyond maps; integrating spatial map analysis and perception studies to unravel landscape change in a Mediterranean mountain area (NE Spain). Applied Geography, 52, 182–190. https://doi.org/10.1016/j.apgeog.2014.05.010
Group Stats. (2020). https://github.com/HenrikSpa/GroupStats
Guiomar, N., Godinho, S., Pinto-Correia, T., Almeida, M., Bartolini, F., Bezák, P., Biró, M., Bjørkhaug, H., Bojnec, Š., Brunori, G., Corazzin, M., Czekaj, M., Davidova, S., Kania, J., Kristensen, S., Marraccini, E., Molnár,, Z., Niedermayr, J., O’Rourke, E., Ortiz-Miranda, D., Redman, M., Sipiläinen, T., Sooväli-Sepping, H., Šūmane, S., Surová, D., Sutherland, L. A., Tcherkezova, E., Tisenkopfs, T., Tsiligiridis, T., Tudor, M. M., Wagner, K., & Wästfelt, A. (2018). Typology and distribution of small farms in Europe: Towards a better picture. Land Use Policy, 75, 784–798. https://doi.org/10.1016/j.landusepol.2018.04.012
Haller, A., & Bender, O. (2018). Among rewilding mountains: Grassland conservation and abandoned settlements in the Northern Apennines. Landscape Research, 43(8), 1068–1084. https://doi.org/10.1080/01426397.2018.1495183
Hillbrand, A., Borelli, S., Conigliaro, M., & Olivier, E. (2017). Agroforestry for landscape restoration. Exploring the potential of agroforestry to enhance the sustainability and resilience of degraded landscapes. FAO, Rome, Italy.
Hulshoff, M. R. (1995). Landscape indices describing a Dutch landscape. Landscape Ecology, 10(2), 101–111. https://doi.org/10.1007/BF00153827
Italian Military Geographic Institute. (2020). https://www.igmi.org/it/descrizione-prodotti/aerial-photography/black-andwhite-or-colour-aerial-photographs
I.Stat. (2019). Statistiche I.Stat – Italian population statistics. http://dati.istat.it/Index.aspx
I.Stat. (2020a). Statistiche I.Stat. https://www.arcgis.com/apps/MapJournal/index.html?appid=6d59671694ef44559f416fd512b9f274
I.Stat. (2020b). Censimento agricoltura 2010. http://dati-censimentoagricoltura.istat.it/Index.aspx
Lanorte, A., Manzi, T., Nolè, G., & Lasaponara, R. (2015). On the use of the Principal Component Analysis (PCA) for evaluating vegetation anomalies from LANDSAT-TM NDVI Temporal Series in the Basilicata Region (Italy). In O. Gervasi et al. (Eds.), Lecture notes in computer science: Vol. 9158. Computational science and its applications – ICCSA 2015. ICCSA 2015. Springer, Cham. https://doi.org/10.1007/978-3-319-21410-8_16
Lanorte, A., De Santis, F., Nolè, G., Blanco, I., Loisi, R. V., Schettini, E., & Vox, G. (2017). Agricultural plastic waste spatial estimation by Landsat 8 satellite images. Computers and Electronics in Agriculture, 141, 35–45. https://doi.org/10.1016/j.compag.2017.07.003
Lasco, R. D., Delfino, R. J. P., Catacutan, D. C., Simelton, E. S., & Wilson, D. M. (2014). Climate risk adaptation by smallholder farmers: the roles of trees and agroforestry. Current Opinion in Environmental Sustainability, 6, 83–88. https://doi.org/10.1016/j.cosust.2013.11.013
Ledda, A., Serra, V., & De Montis, A. (2019). The effect of rural buildings on landscape fragmentation in Natura 2000 sites: A case study in Sardinia. Sustainability, 11, 4695. https://doi.org/10.3390/su11174695
Liu, D., Toman, E., Fuller, Z., Chen, G., Londo, A., Zhang, X., & Zhao, K. (2018). Integration of historical map and aerial imagery to characterize long-term land-use change and landscape dynamics: An object-based analysis via Random Forests. Ecological Indicators, 95(1), 595–605. https://doi.org/10.1016/j.ecolind.2018.08.004
Malandra, F., Vitali, A., & Urbinati, C. (2019). Patterns and drivers of forest landscape change in the Apennines range, Italy. Regional Environmental Change, 19, 1973–1985. https://doi.org/10.1007/s10113-019-01531-6
Malandra, F., Vitali, A., Urbinati, C., & Garbarino, M. (2018). 70 years of land use/land cover changes in the Apennines (Italy): A meta-analysis. Forests, 9, 551. https://doi.org/10.3390/f9090551
Manniello, C., Statuto, D., Di Pasquale, A., Giuratrabocchetti, G., & Picuno, P. (2020). Planning the flows of residual biomass produced by wineries for the preservation of the rural landscape. Sustainability, 12, 847. https://doi.org/10.3390/su12030847
McKenzie, P., Cooper, A., McCann, T., & Rogers, D. (2011). The ecological impact of rural building on habitats in an agricultural landscape. Landscape and Urban Planning, 101, 262–268. https://doi.org/10.1016/j.landurbplan.2011.02.031
Moreno, G., Aviron, S., & Berg, S. (2018). Agroforestry systems of high nature and cultural value in Europe: provision of commercial goods and other ecosystem services. Agroforestry Systems, 92, 877–891. https://doi.org/10.1007/s10457-017-0126-1
Nair, P. R. (1993). An introduction to agroforestry. Springer Science & Business Media. https://doi.org/10.1007/978-94-011-1608-4
Pardini, A. (2009). Agroforestry systems in Italy: traditions towards modern management. In A. Rigueiro-Rodriguez, J. McAdam, & M. R. Mosquera-Losada (Eds.), Agroforestry in Europe: current status and future prospects (pp. 255–267). Springer.
Paris, P., Camilli, F., & Rosati, A. (2019). What is the future for agroforestry in Italy? Agroforestry Systems, 93, 2243–2256. https://doi.org/10.1007/s10457-019-00346-y
Peña-Angulo, D., Khorchani, M., Errea, P., Lasanta, T., MartínezArnáiz, M., & Nadal-Romero, E. (2019). Factors explaining the diversity of land cover in abandoned fields in a Mediterranean mountain area. CATENA, 181, 104064. https://doi.org/10.1016/j.catena.2019.05.010
Picuno, C. A., Laković, I., Roubis, D., Picuno, P., & Capetanović, A. (2017). Analysis of the characteristics of traditional rural constructions for animal corral in the Adriatic-Ionian area. Sustainability, 9, 1441. https://doi.org/10.3390/su9081441
Picuno, P., Cillis, G., & Statuto, D. (2019). Investigating the time evolution of a rural landscape: How historical maps may provide environmental information when processed using a GIS. Ecological Engineering, 139, 105580. https://doi.org/10.1016/j.ecoleng.2019.08.010
Pindozzi, S., Cervelli, E., Capolupo, A., Okello, C., & Boccia, L. (2016). Using historical maps to analyze two hundred years of land cover changes: case study of Sorrento peninsula (south Italy). Cartography and Geographic Information Science, 43, 250–265. https://doi.org/10.1080/15230406.2015.1072736
Pinto-Correia, T., Primdahl, J., & Pedroli, B. (2018). European landscapes in transition – implications for policy and practice. Studies in landscape ecology. Cambridge University Press. https://doi.org/10.1017/9781107707566
Quaranta, G., Salvia, R., Salvati, L., De Paola, V., Coluzzi, R., Imbrenda, V., & Simoniello, T. (2020). Long‐term impacts of grazing management on land degradation in a rural community of Southern Italy: Depopulation matters. Land Degradation & Development, 31, 2379– 2394. https://doi.org/10.1002/ldr.3583
Rocchini, D., Luque, S., Pettorelli, N., Bastin, L., Doktor, D., Faedi, N., Feilhauer, H., Féret, J. B., Foody, G. M., Gavish, Y., Godinho, S., Kunin, W. E., Lausch, A., Leitão, P. J., Marcantonio, M., Neteler, M., Ricotta, C., Schmidtlein, S., Vihervaara, P., Wegmann, M., & Nagendra, H. (2018). Measuring β-diversity by remote sensing: A challenge for biodiversity monitoring. Methods in Ecology and Evolution, 9(8), 1787– 1798. https://doi.org/10.1111/2041-210X.12941
RSDI. (2020). Infrastruttura Regionale dei Dati Spaziali della Regione Basilicata. https://rsdi.regione.basilicata.it/
Saikia, P., Kumar, A., & Khan, M. L. (2017). Agroforestry: A sustainable land use system for livelihood security and climate change mitigation. In B. C. Pandey, M. K. Gaur, & R. K. Goyal (Eds.), Climate change and agroforestry (1st ed., pp. 61–70). New India Publishing Agency.
Santiago-Freijanes J. J., Pisanelli, A., Rois-Díaz, M., AldreyVázquez, J. A., Rigueiro-Rodríguez, A., Pantera, A., Vityi, A., Lojka, B., Ferreiro-Domínguez, N., & Mosquera-Losada, M. R. (2018). Agroforestry development in Europe: Policy issues. Land Use Policy, 76, 144–156. https://doi.org/10.1016/j.landusepol.2018.03.014
Statuto, D., Cillis, G., & Picuno, P. (2016). Analysis of the effects of agricultural land use change on rural environment and landscape through historical cartography and GIS tools. Journal of Agricultural Engineering, 47, 28–39. https://doi.org/10.4081/jae.2016.468
Statuto, D., Cillis, G., & Picuno, P. (2017). Using historical maps within a GIS to analyze two centuries of rural landscape changes in Southern Italy. Land, 6, 65. https://doi.org/10.3390/land6030065
Statuto, D., Cillis, G., & Picuno, P. (2019a). GIS-based analysis of temporal evolution of rural landscape: A case study in Southern Italy. Natural Resources Research, 28, 61–75. https://doi.org/10.1007/s11053-018-9402-7
Statuto, D., Cillis, G., & Picuno, P. (2020). Assessing the impact of built heritage on the rural landscape through the integration in a GIS of cartographic information and remote-sensed data. In Public recreation and landscape protection – With sense hand in hand? Conference proceeding (pp. 63–67).
Statuto, D., & Picuno, P. (2017). Valorisation of vernacular farm buildings for the sustainable development of rural tourism in mountain areas of the Adriatic-Ionian macro-region. Journal of Agricultural Engineering, 48(S1), 21–26. https://doi.org/10.4081/jae.2017.643
Strollo, A., Smiraglia, D., Bruno, R., Assennato, F., Congedo, L., De Fioravante, P., Giuliani, C., Marinosci, I., Riitano, N., & Munafò, M. (2020). Land consumption in Italy. Journal of Maps, 16(1), 113–123. https://doi.org/10.1080/17445647.2020.1758808
Turner, M. G., O’Neill, R. V., Gardner, R. H., & Milne, B. T. (1989). Effects of changing spatial scale on the analysis of landscape pattern. Landscape Ecology, 3, 153–162. https://doi.org/10.1007/BF00131534
Valerio, F., Ferreira, E., Godinho, S., Pita, R., Mira, A., Fernandes, N., & Santos, S. M. (2020). Predicting microhabitat suitability for an endangered small mammal using Sentinel-2 Data. Remote Sensing, 12, 562. https://doi.org/10.3390/rs12030562
Van Tricht, K., Gobin, A., Gilliams, S., & Piccard, I. (2018). Synergistic use of radar Sentinel-1 and optical Sentinel-2 imagery for crop mapping: A case study for Belgium. Remote Sensing, 10, 1642. https://doi.org/10.3390/rs10101642
Viccaro M., Cozzi, M., Fanelli, L., & Romano, S. (2019). Spatial modelling approach to evaluate the economic impacts of climate change on forests at a local scale. Ecological Indicators, 106, 105523. https://doi.org/10.1016/j.ecolind.2019.105523
Almeida, M., Azeda, C., Guiomar, N., & Pinto-Correia, T. (2016). The effects of grazing management in montado fragmentation and heterogeneity. Agroforest Systems, 90, 69–85. https://doi.org/10.1007/s10457-014-9778-2
Amici, V., Maccherini, S., Santi, E., Torri, D., Vergari, F., & Del Monte, M. (2017). Long-term patterns of change in a vanishing cultural landscape: A GIS-based assessment. Ecological Informatics, 37, 38–51. https://doi.org/10.1016/j.ecoinf.2016.11.008
Baldantoni, P., Nolè, G., Lanorte, A., Tucci, B., Santarsiero, V., & Murgante, B. (2019). Trend definition of soil consumption in the period 1994–2014 – Municipalities of Potenza, Matera and Melfi. In S. Misra et al. (Eds.), Lecture notes in computer science: Vol. 11621. Computational science and its applications – ICCSA 2019. ICCSA 2019. Springer, Cham. https://doi.org/10.1007/978-3-030-24302-9_49
Belda-Carrasco, R., Iranzo-García, E., & Pascual-Aguilar, J. (2019). Landscape dynamics in mediterranean coastal areas: Castelló De La Plana in the last hundred years. Landscape Online, 69, 1–15. https://doi.org/10.3097/LO.201969
Belgiu, M., & Csillik, O. (2018). Sentinel-2 cropland mapping using pixel-based and object-based time-weighted. Remote Sensing of Environment, 204, 509–523. https://doi.org/10.1016/j.rse.2017.10.005
Bracchetti, L., Carotenuto, L., & Catorci, A. (2012). Land-cover changes in a remote area of central Apennines (Italy) and management directions. Landscape and Urban Planning, 104(2), 157–170. https://doi.org/10.1016/j.landurbplan.2011.09.005
Burgess, P. J., & Rosati, A. (2018). Advances in European agroforestry: results from the AGFORWARD project. Agroforestry Systems, 92, 801–810. https://doi.org/10.1007/s10457-018-0261-3
Buttoud, G., Ajayi, O. C., Detlefsen, G., Place, F., & Torquebiau, E. F. (2013). Advancing agroforestry on the policy agenda: a guide for decision-makers (Agroforestry working paper no 1). Food and Agriculture Organization of the United Nations. FAO, Rome.
Burnett, C., & Blaschke, T. (2003). A multi-scale segmentation/ object relationship modelling methodology for landscape analysis. Ecological Modelling, 168, 233–249. https://doi.org/10.1016/S0304-3800(03)00139-X
Calaciura, B., & Spinelli, O. (2008). Management of Natura 2000 habitats. 6210 Semi-natural dry grasslands and scrubland facies on calcareous substrates (Festuco-Brometalia) (* important orchid sites). European Commission.
Cillis, G., Statuto, D., & Picuno, P. (2020b). Spatial analysis of the impact of rural buildings on the agroforestry landscape using GIS. Lecture Notes in Civil Engineering, 67, 207–214. https://doi.org/10.1007/978-3-030-39299-4_23
Cillis, G., Statuto, D., & Picuno, P. (2019a). Historical maps processed into a GIS for the assessment of forest landscape dynamics. In Public recreation and landscape protection – With Sense Hand in Hand? Conference Proceeding 2019 (pp. 180– 184).
Cillis, G., Statuto, D., & Picuno, P. (2019b, March 5–7). Valorisation of historical farm buildings for protecting the rural landscape. In Proceedings of the 47th Symposium on: Actual Tasks on Agricultural Engineering – ATAE 2109 (pp. 535–544). Opatija, Croatia.
Cillis, G., Statuto, D., & Picuno, P. (2020a). Vernacular farm buildings and rural landscape: A geospatial approach for their integrated management. Sustainability, 12, 4. https://doi.org/10.3390/su12010004
Congedo, L. (2016). Semi-automatic classification plugin documentation. https://doi.org/10.13140/RG.2.2.29474.02242/1
Cousins, S. A. O. (2009). Landscape history and soil properties affect grassland decline and plant species richness in rural landscapes. Biological Conservation, 142(11), 2752–2758. https://doi.org/10.1016/j.biocon.2009.07.001
Cuba, N. (2015). Research note: Sankey diagrams for visualizing land cover dynamics. Landscape and Urban Planning, 139, 163–167. https://doi.org/10.1016/j.landurbplan.2015.03.010
DataPlotly. (2020). https://github.com/ghtmtt/DataPlotly
De Montis, A., Martín, B., Ortega, E., Ledda, A., & Serra, V. (2017). Landscape fragmentation in Mediterranean Europe: A comparative approach. Land Use Policy, 64, 83–94. https://doi.org/10.1016/j.landusepol.2017.02.028
European Network for Rural Development. (2020). Rivista Rurale Unione Europea, (17). https://enrd.ec.europa.eu/sites/enrd/files/PublicationENRDperiodical-17_it.pdf
Filizzola, C., Corrado, R., Falconieri, A., Faruolo, M., Genzano, N., Lisi, M., Mazzeo, G., Paciello, R., Pergola, N., & Tramutoli, V. (2018). On the use of temporal vegetation indices in support of eligibility controls for EU aids in agriculture. International Journal of Remote Sensing, 39(14), 4572–4598. https://doi.org/10.1080/01431161.2017.1395973
Franciosa, L. (1942). La casa rurale nella Lucania [In The rural house in Lucania Region]. Ohlski (in Italian).
Geri F., Rocchini, D., & Chiarucci, A. (2010). Landscape metrics and topographical determinants of large-scale forest dynamics in a Mediterranean landscape. Landscape and Urban Planning, 95(1–2), 46–53. https://doi.org/10.1016/j.landurbplan.2009.12.001
Gobbi, S., Cantiani, M. G., Rocchini, D., Zatelli, P., Tattoni, C., La Porta, N., & Ciolli, M. (2019). Fine spatial scale modelling of Trentino past forest landscape (Trentino land): a case study of FOSS Application. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLII-4/ W14, 71–78. https://doi.org/10.5194/isprs-archives-XLII-4-W14-71-2019
Gobbi, S., Maimeri, G., Tattoni, C., Cantiani, M. G., Rocchini, D., La Porta, N., Ciolli, M., & Zatelli, P. (2018). Orthorectification of a large dataset of historical aerial images: procedure and precision assessment in an open source environment, International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLII-4/W8, 53–59. https://doi.org/10.5194/isprs-archives-XLII-4-W8-53-2018
González-Puente, M., Campos, M., McCall, M. K., & MuñozRojas, J. (2014). Places beyond maps; integrating spatial map analysis and perception studies to unravel landscape change in a Mediterranean mountain area (NE Spain). Applied Geography, 52, 182–190. https://doi.org/10.1016/j.apgeog.2014.05.010
Group Stats. (2020). https://github.com/HenrikSpa/GroupStats
Guiomar, N., Godinho, S., Pinto-Correia, T., Almeida, M., Bartolini, F., Bezák, P., Biró, M., Bjørkhaug, H., Bojnec, Š., Brunori, G., Corazzin, M., Czekaj, M., Davidova, S., Kania, J., Kristensen, S., Marraccini, E., Molnár,, Z., Niedermayr, J., O’Rourke, E., Ortiz-Miranda, D., Redman, M., Sipiläinen, T., Sooväli-Sepping, H., Šūmane, S., Surová, D., Sutherland, L. A., Tcherkezova, E., Tisenkopfs, T., Tsiligiridis, T., Tudor, M. M., Wagner, K., & Wästfelt, A. (2018). Typology and distribution of small farms in Europe: Towards a better picture. Land Use Policy, 75, 784–798. https://doi.org/10.1016/j.landusepol.2018.04.012
Haller, A., & Bender, O. (2018). Among rewilding mountains: Grassland conservation and abandoned settlements in the Northern Apennines. Landscape Research, 43(8), 1068–1084. https://doi.org/10.1080/01426397.2018.1495183
Hillbrand, A., Borelli, S., Conigliaro, M., & Olivier, E. (2017). Agroforestry for landscape restoration. Exploring the potential of agroforestry to enhance the sustainability and resilience of degraded landscapes. FAO, Rome, Italy.
Hulshoff, M. R. (1995). Landscape indices describing a Dutch landscape. Landscape Ecology, 10(2), 101–111. https://doi.org/10.1007/BF00153827
Italian Military Geographic Institute. (2020). https://www.igmi.org/it/descrizione-prodotti/aerial-photography/black-andwhite-or-colour-aerial-photographs
I.Stat. (2019). Statistiche I.Stat – Italian population statistics. http://dati.istat.it/Index.aspx
I.Stat. (2020a). Statistiche I.Stat. https://www.arcgis.com/apps/MapJournal/index.html?appid=6d59671694ef44559f416fd512b9f274
I.Stat. (2020b). Censimento agricoltura 2010. http://dati-censimentoagricoltura.istat.it/Index.aspx
Lanorte, A., Manzi, T., Nolè, G., & Lasaponara, R. (2015). On the use of the Principal Component Analysis (PCA) for evaluating vegetation anomalies from LANDSAT-TM NDVI Temporal Series in the Basilicata Region (Italy). In O. Gervasi et al. (Eds.), Lecture notes in computer science: Vol. 9158. Computational science and its applications – ICCSA 2015. ICCSA 2015. Springer, Cham. https://doi.org/10.1007/978-3-319-21410-8_16
Lanorte, A., De Santis, F., Nolè, G., Blanco, I., Loisi, R. V., Schettini, E., & Vox, G. (2017). Agricultural plastic waste spatial estimation by Landsat 8 satellite images. Computers and Electronics in Agriculture, 141, 35–45. https://doi.org/10.1016/j.compag.2017.07.003
Lasco, R. D., Delfino, R. J. P., Catacutan, D. C., Simelton, E. S., & Wilson, D. M. (2014). Climate risk adaptation by smallholder farmers: the roles of trees and agroforestry. Current Opinion in Environmental Sustainability, 6, 83–88. https://doi.org/10.1016/j.cosust.2013.11.013
Ledda, A., Serra, V., & De Montis, A. (2019). The effect of rural buildings on landscape fragmentation in Natura 2000 sites: A case study in Sardinia. Sustainability, 11, 4695. https://doi.org/10.3390/su11174695
Liu, D., Toman, E., Fuller, Z., Chen, G., Londo, A., Zhang, X., & Zhao, K. (2018). Integration of historical map and aerial imagery to characterize long-term land-use change and landscape dynamics: An object-based analysis via Random Forests. Ecological Indicators, 95(1), 595–605. https://doi.org/10.1016/j.ecolind.2018.08.004
Malandra, F., Vitali, A., & Urbinati, C. (2019). Patterns and drivers of forest landscape change in the Apennines range, Italy. Regional Environmental Change, 19, 1973–1985. https://doi.org/10.1007/s10113-019-01531-6
Malandra, F., Vitali, A., Urbinati, C., & Garbarino, M. (2018). 70 years of land use/land cover changes in the Apennines (Italy): A meta-analysis. Forests, 9, 551. https://doi.org/10.3390/f9090551
Manniello, C., Statuto, D., Di Pasquale, A., Giuratrabocchetti, G., & Picuno, P. (2020). Planning the flows of residual biomass produced by wineries for the preservation of the rural landscape. Sustainability, 12, 847. https://doi.org/10.3390/su12030847
McKenzie, P., Cooper, A., McCann, T., & Rogers, D. (2011). The ecological impact of rural building on habitats in an agricultural landscape. Landscape and Urban Planning, 101, 262–268. https://doi.org/10.1016/j.landurbplan.2011.02.031
Moreno, G., Aviron, S., & Berg, S. (2018). Agroforestry systems of high nature and cultural value in Europe: provision of commercial goods and other ecosystem services. Agroforestry Systems, 92, 877–891. https://doi.org/10.1007/s10457-017-0126-1
Nair, P. R. (1993). An introduction to agroforestry. Springer Science & Business Media. https://doi.org/10.1007/978-94-011-1608-4
Pardini, A. (2009). Agroforestry systems in Italy: traditions towards modern management. In A. Rigueiro-Rodriguez, J. McAdam, & M. R. Mosquera-Losada (Eds.), Agroforestry in Europe: current status and future prospects (pp. 255–267). Springer.
Paris, P., Camilli, F., & Rosati, A. (2019). What is the future for agroforestry in Italy? Agroforestry Systems, 93, 2243–2256. https://doi.org/10.1007/s10457-019-00346-y
Peña-Angulo, D., Khorchani, M., Errea, P., Lasanta, T., MartínezArnáiz, M., & Nadal-Romero, E. (2019). Factors explaining the diversity of land cover in abandoned fields in a Mediterranean mountain area. CATENA, 181, 104064. https://doi.org/10.1016/j.catena.2019.05.010
Picuno, C. A., Laković, I., Roubis, D., Picuno, P., & Capetanović, A. (2017). Analysis of the characteristics of traditional rural constructions for animal corral in the Adriatic-Ionian area. Sustainability, 9, 1441. https://doi.org/10.3390/su9081441
Picuno, P., Cillis, G., & Statuto, D. (2019). Investigating the time evolution of a rural landscape: How historical maps may provide environmental information when processed using a GIS. Ecological Engineering, 139, 105580. https://doi.org/10.1016/j.ecoleng.2019.08.010
Pindozzi, S., Cervelli, E., Capolupo, A., Okello, C., & Boccia, L. (2016). Using historical maps to analyze two hundred years of land cover changes: case study of Sorrento peninsula (south Italy). Cartography and Geographic Information Science, 43, 250–265. https://doi.org/10.1080/15230406.2015.1072736
Pinto-Correia, T., Primdahl, J., & Pedroli, B. (2018). European landscapes in transition – implications for policy and practice. Studies in landscape ecology. Cambridge University Press. https://doi.org/10.1017/9781107707566
Quaranta, G., Salvia, R., Salvati, L., De Paola, V., Coluzzi, R., Imbrenda, V., & Simoniello, T. (2020). Long‐term impacts of grazing management on land degradation in a rural community of Southern Italy: Depopulation matters. Land Degradation & Development, 31, 2379– 2394. https://doi.org/10.1002/ldr.3583
Rocchini, D., Luque, S., Pettorelli, N., Bastin, L., Doktor, D., Faedi, N., Feilhauer, H., Féret, J. B., Foody, G. M., Gavish, Y., Godinho, S., Kunin, W. E., Lausch, A., Leitão, P. J., Marcantonio, M., Neteler, M., Ricotta, C., Schmidtlein, S., Vihervaara, P., Wegmann, M., & Nagendra, H. (2018). Measuring β-diversity by remote sensing: A challenge for biodiversity monitoring. Methods in Ecology and Evolution, 9(8), 1787– 1798. https://doi.org/10.1111/2041-210X.12941
RSDI. (2020). Infrastruttura Regionale dei Dati Spaziali della Regione Basilicata. https://rsdi.regione.basilicata.it/
Saikia, P., Kumar, A., & Khan, M. L. (2017). Agroforestry: A sustainable land use system for livelihood security and climate change mitigation. In B. C. Pandey, M. K. Gaur, & R. K. Goyal (Eds.), Climate change and agroforestry (1st ed., pp. 61–70). New India Publishing Agency.
Santiago-Freijanes J. J., Pisanelli, A., Rois-Díaz, M., AldreyVázquez, J. A., Rigueiro-Rodríguez, A., Pantera, A., Vityi, A., Lojka, B., Ferreiro-Domínguez, N., & Mosquera-Losada, M. R. (2018). Agroforestry development in Europe: Policy issues. Land Use Policy, 76, 144–156. https://doi.org/10.1016/j.landusepol.2018.03.014
Statuto, D., Cillis, G., & Picuno, P. (2016). Analysis of the effects of agricultural land use change on rural environment and landscape through historical cartography and GIS tools. Journal of Agricultural Engineering, 47, 28–39. https://doi.org/10.4081/jae.2016.468
Statuto, D., Cillis, G., & Picuno, P. (2017). Using historical maps within a GIS to analyze two centuries of rural landscape changes in Southern Italy. Land, 6, 65. https://doi.org/10.3390/land6030065
Statuto, D., Cillis, G., & Picuno, P. (2019a). GIS-based analysis of temporal evolution of rural landscape: A case study in Southern Italy. Natural Resources Research, 28, 61–75. https://doi.org/10.1007/s11053-018-9402-7
Statuto, D., Cillis, G., & Picuno, P. (2020). Assessing the impact of built heritage on the rural landscape through the integration in a GIS of cartographic information and remote-sensed data. In Public recreation and landscape protection – With sense hand in hand? Conference proceeding (pp. 63–67).
Statuto, D., & Picuno, P. (2017). Valorisation of vernacular farm buildings for the sustainable development of rural tourism in mountain areas of the Adriatic-Ionian macro-region. Journal of Agricultural Engineering, 48(S1), 21–26. https://doi.org/10.4081/jae.2017.643
Strollo, A., Smiraglia, D., Bruno, R., Assennato, F., Congedo, L., De Fioravante, P., Giuliani, C., Marinosci, I., Riitano, N., & Munafò, M. (2020). Land consumption in Italy. Journal of Maps, 16(1), 113–123. https://doi.org/10.1080/17445647.2020.1758808
Turner, M. G., O’Neill, R. V., Gardner, R. H., & Milne, B. T. (1989). Effects of changing spatial scale on the analysis of landscape pattern. Landscape Ecology, 3, 153–162. https://doi.org/10.1007/BF00131534
Valerio, F., Ferreira, E., Godinho, S., Pita, R., Mira, A., Fernandes, N., & Santos, S. M. (2020). Predicting microhabitat suitability for an endangered small mammal using Sentinel-2 Data. Remote Sensing, 12, 562. https://doi.org/10.3390/rs12030562
Van Tricht, K., Gobin, A., Gilliams, S., & Piccard, I. (2018). Synergistic use of radar Sentinel-1 and optical Sentinel-2 imagery for crop mapping: A case study for Belgium. Remote Sensing, 10, 1642. https://doi.org/10.3390/rs10101642
Viccaro M., Cozzi, M., Fanelli, L., & Romano, S. (2019). Spatial modelling approach to evaluate the economic impacts of climate change on forests at a local scale. Ecological Indicators, 106, 105523. https://doi.org/10.1016/j.ecolind.2019.105523