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Geomorphological map and land units at 1

200,000 Scale of the Siena Province (Southern Tuscany, Italy)

Bibliographic Data

ID16840200
AuthorsMauro Coltorti (0000-0003-3916-913X, University of Siena), Dario Firuzabadi (University of Siena), Pierluigi Pieruccini, Silvia Ravani (0000-0002-8994-2867, University of Siena)
Year2011
Volume7
Issue1
Pages536-551
Publication date2011-01-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueJournal of Maps (JOURNAL)
Journal identifiersISSN: 1744-5647 • E-ISSN: 1744-5647
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.4113/jom.2011.1193
OpenAlexW2043626891
LanguageEN
Citations received2
References cited2

Please click here to download the map associated with this article. Small scale geomorphological maps and land unit classification of large areas are not common due to the high degree of generalisation required to represent landforms originally mapped at larger scale (i.e. 1:10,000). Here we present a 1:200,000 scale geomorphological map of the Siena Province (Tuscany, Italy) where the landforms related to different processes have been synthesised into a map representing the main landscape units. The process of generalisation follows the overlapping of the main processes and landforms grouped in 6 main categories: geology, land use, slope, structural/selective erosion, gravity and running water. The final map indicates the presence of seven main homogeneous landscapes characterised by typical associations of landforms and processes. The reference scale allows the analysis of the entire Siena Province and may be used for landscape evaluation, including natural hazards and related susceptibility

Archaeology · Cartography · Erosion · Geography · Geologic map · Geomorphology · Homogeneous · Landform · Physical geography · Geology and Paleoclimatology Research · Karst Systems and Hydrogeology · Landslides and related hazards · Mathematics · Geology

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Unique citing works2
Citations per year0.17
Citation span2014 - 2016 (3)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 1

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Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae