Looking at Seasonal Landscapes from Above. Mapping Spatio-temporal Conditions of Foliage across the Lucanian Apennines by Processing Satellite Multispectral Imagery

Andrea Rolando; Alessandro Scandiffio; Mariavaleria Mininni

doi:10.26375/disegno.12.2023.11

Authors

Andrea Rolando Department of Architecture and Urban Studies, Politecnico di Milano
Alessandro Scandiffio Department of Architecture and Urban Studies, Politecnico di Milano
Mariavaleria Mininni Department of European and Mediterranean Cultures, University of Basilicata

DOI:

https://doi.org/10.26375/disegno.12.2023.11

Keywords:

mapping, multispectral satellite imagery, foliage, seasonal landscape, GIS

Abstract

The process of analyzing, interpreting, and configuring a landscape is based on a dual cognitive approach: a view from above, which provides an overall understanding of the phenomena taking place on the earth's surface, and a view from the ground, focused on the physical experience of space, which require forms of representation more similar to perspective views. The experience of natural phenomena, such as flowering or foliage, is mainly based on the experiential approach at ground level but needs a broader view to establish analysis procedures able to support the design process, supported by cartographic representations showing the abstract point of view of the looking from above approach. The research was applied to the case study of the beech woodlands in the Lucanian Apennine Val d'Agri-Lagonegrese National Park, where it is possible to observe the phenomenon of the foliage of the woods with greater evidence, due to the homogeneity of these landscape areas. The methodology involves the use of dynamic mapping techniques which, through the processing of multispectral satellite images and the computing of vegetation indices, enable the features of the phenomenon to be represented in a spatio-temporal dimension. These forms of representation, on the one hand, can support decision-makers in defining territorial development strategies in the field of sustainable tourism, and on the other hand, they can be integrated into mobile web applications and/or web portals to provide geolocalized information which can be helpful for local actors and single users.

References

Congedo, L. (2021). Semi-Automatic Classification Plugin: A Python tool for the download and processing of remote sensing images in QGIS. In Journal of Open Source Software, 6(64), 3172.

Copernicus Open Access Hub: <https://scihub.copernicus.eu/> (accessed February 15, 2023).

Junker, L. V., Ensminger I. (2016). Relationship between leaf optical properties, chlorophyll fluorescence and pigment changes in senescing Acer saccharum leaves. In Tree Physiology, 36(6), pp. 694-711.

Mancuso, S. (2020). La pianta del mondo. Roma-Bari: Laterza.

Marconcini et al. (2020). Digital Earth in Europe. In H. Guo, M. F. Goodchild, A. Annoni (Eds.). Manual of Digital Earth, pp. 647-681. Dordrecht: Springer.

Mininni, M., Sabia, V., (2020). Nuove transumanze e azioni paesaggistiche. Uno scenario per il piano paesaggistico della Basilicata. In L. Lazzarini, S. Marchionni (a cura di). Spazi e corpi in movimento. Fare urbanistica in cammino, pp. 77-93. Firenze: SdT Edizioni.

Motohka et al. (2010). Applicability of Green-Red Vegetation Index for Remote Sensing of Vegetation Phenology. In Remote Sensing, 2(10), pp. 2369-2387.

Palang, H., Sooväli, H., Printsmann, A. (Eds.). (2007). Seasonal Landscapes. Dordrecht: Springer.

Pandakovic, D., Dal Sasso, A. (2013). Saper vedere il paesaggio. Novara: Città Studi edizioni.

Parco nazionale dell’appennino lucano Val d’Agri-Lagonegrese: (accessed February 28, 2023).

Piano Paesaggistico Regionale, Regione Basilicata: <http://ppr.regione.basilicata.it/> (accessed February 15, 2023).

Rolando, A., Scandiffio A. (2022). Experiencing seasonal landscapes across the Grand Tour UNESCO in Piedmont. A strategy to achieve a more balanced uses of the territories based on sustainable tourism. In Quaderni di Abitare la Terra/Dwelling on Earth, No. 7-8, pp. 36-39.

Rolando, A., Scandiffio, A. (2021). Historical agricultural landscapes: mapping seasonal conditions for sustainable tourism. In International Archives Photogrammetry Remote Sensing Spatial Information Science, XLVI-M-1-2021, pp. 641-646.

Scandiffio, A. (2021a). Mappatura dinamica delle condizioni stagionali del paesaggio. In E. Cicalò, V. Menchetelli, M. Valentino (Eds.). Linguaggi Grafici. MAPPE, pp. 1374-1391. Alghero: Publica.

Scandiffio, A. (2021b). Parametric Definition of Slow Tourism Itineraries for Experiencing Seasonal Landscapes. Application of Sentinel-2 Imagery to the Rural Paddy-Rice Landscape in Northern Italy. In Sustainability, 13(23), 13155.

Sereno, P. (1981). L’archeologia del paesaggio agrario: una nuova frontiera di ricerca. In L. Gambi (a cura di). Campagna e industria. I segni del lavoro, pp. 24-47. Milano: Touring Club Italiano.

Stobbelaar, D. J., Hendriks, K. (2007). Seasonality of Agricultural Landscapes: Reading Time and Place by Colours and Shapes. In H. Palang, H. Sooväli, A. Printsmann (Eds.). Seasonal Landscapes, pp. 103-126. Dordrecht: Springer.

Tucker, C. J. (1979). Red and Photographic Infrared Linear Combinations for Monitoring Vegetation. In Remote Sensing of Environment, 8, pp. 127-150.