New Paradigms for Geomorphological Mapping: A Multi-Source Approach for Landscape Characterization.
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| Title: | New Paradigms for Geomorphological Mapping: A Multi-Source Approach for Landscape Characterization. |
|---|---|
| Authors: | Cignetti, Martina1 (AUTHOR), Godone, Danilo1 (AUTHOR) danilofrancescostefano.godone@cnr.it, Ferrari Trecate, Daniele1 (AUTHOR), Baldo, Marco1 (AUTHOR) |
| Source: | Remote Sensing. Feb2025, Vol. 17 Issue 4, p581. 23p. |
| Subjects: | Geomorphological mapping, Landforms, Digital elevation models, Drone aircraft, Land use planning, Landslides |
| Abstract: | The advent of geomatic techniques and novel sensors has opened the road to new approaches in mapping, including morphological ones. The evolution of a land portion and its graphical representation constitutes a fundamental aspect for scientific and land planning purposes. In this context, new paradigms for geomorphological mapping, which are useful for modernizing traditional, geomorphological mapping, become necessary for the creation of scalable digital representation of processes and landforms. A fully remote mapping approach, based on multi-source and multi-sensor applications, was implemented for the recognition of landforms and processes. This methodology was applied to a study site located in central Italy, characterized by the presence of 'calanchi' (i.e., badlands). Considering primarily the increasing availability of regional LiDAR products, an automated landform classification, i.e., Geomorphons, was adopted to map landforms at the slope scale. Simultaneously, by collecting and digitizing a time-series of historical orthoimages, a multi-temporal analysis was performed. Finally, surveying the area with an unmanned aerial vehicle, exploiting the high-resolution digital terrain model and orthoimage, a local-scale geomorphological map was produced. The proposed approach has proven to be well capable of identifying the variety of processes acting on the pilot area, identifying various genetic types of geomorphic processes with a nested hierarchy, where runoff-associated landforms coexist with gravitational ones. Large ancient mass movement characterizes the upper part of the basin, forming deep-seated gravity deformation, highly remodeled by a set of widespread runoff features forming rills, gullies, and secondary shallow landslides. The extended badlands areas imposed on Plio-Pleistocene clays are typically affected by sheet wash and rill and gully erosion causing high potential of sediment loss and the occurrence of earth- and mudflows, often interfering and affecting agricultural areas and anthropic elements. This approach guarantees a multi-scale and multi-temporal cartographic model for a full-coverage representation of landforms, representing a useful tool for land planning purposes. [ABSTRACT FROM AUTHOR] |
| Copyright of Remote Sensing is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| Header | DbId: egs DbLabel: Engineering Source An: 183287011 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: New Paradigms for Geomorphological Mapping: A Multi-Source Approach for Landscape Characterization. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Cignetti%2C+Martina%22">Cignetti, Martina</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Godone%2C+Danilo%22">Godone, Danilo</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> danilofrancescostefano.godone@cnr.it</i><br /><searchLink fieldCode="AR" term="%22Ferrari+Trecate%2C+Daniele%22">Ferrari Trecate, Daniele</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Baldo%2C+Marco%22">Baldo, Marco</searchLink><relatesTo>1</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Remote+Sensing%22">Remote Sensing</searchLink>. Feb2025, Vol. 17 Issue 4, p581. 23p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Geomorphological+mapping%22">Geomorphological mapping</searchLink><br /><searchLink fieldCode="DE" term="%22Landforms%22">Landforms</searchLink><br /><searchLink fieldCode="DE" term="%22Digital+elevation+models%22">Digital elevation models</searchLink><br /><searchLink fieldCode="DE" term="%22Drone+aircraft%22">Drone aircraft</searchLink><br /><searchLink fieldCode="DE" term="%22Land+use+planning%22">Land use planning</searchLink><br /><searchLink fieldCode="DE" term="%22Landslides%22">Landslides</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The advent of geomatic techniques and novel sensors has opened the road to new approaches in mapping, including morphological ones. The evolution of a land portion and its graphical representation constitutes a fundamental aspect for scientific and land planning purposes. In this context, new paradigms for geomorphological mapping, which are useful for modernizing traditional, geomorphological mapping, become necessary for the creation of scalable digital representation of processes and landforms. A fully remote mapping approach, based on multi-source and multi-sensor applications, was implemented for the recognition of landforms and processes. This methodology was applied to a study site located in central Italy, characterized by the presence of 'calanchi' (i.e., badlands). Considering primarily the increasing availability of regional LiDAR products, an automated landform classification, i.e., Geomorphons, was adopted to map landforms at the slope scale. Simultaneously, by collecting and digitizing a time-series of historical orthoimages, a multi-temporal analysis was performed. Finally, surveying the area with an unmanned aerial vehicle, exploiting the high-resolution digital terrain model and orthoimage, a local-scale geomorphological map was produced. The proposed approach has proven to be well capable of identifying the variety of processes acting on the pilot area, identifying various genetic types of geomorphic processes with a nested hierarchy, where runoff-associated landforms coexist with gravitational ones. Large ancient mass movement characterizes the upper part of the basin, forming deep-seated gravity deformation, highly remodeled by a set of widespread runoff features forming rills, gullies, and secondary shallow landslides. The extended badlands areas imposed on Plio-Pleistocene clays are typically affected by sheet wash and rill and gully erosion causing high potential of sediment loss and the occurrence of earth- and mudflows, often interfering and affecting agricultural areas and anthropic elements. This approach guarantees a multi-scale and multi-temporal cartographic model for a full-coverage representation of landforms, representing a useful tool for land planning purposes. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Remote Sensing is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/rs17040581 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 23 StartPage: 581 Subjects: – SubjectFull: Geomorphological mapping Type: general – SubjectFull: Landforms Type: general – SubjectFull: Digital elevation models Type: general – SubjectFull: Drone aircraft Type: general – SubjectFull: Land use planning Type: general – SubjectFull: Landslides Type: general Titles: – TitleFull: New Paradigms for Geomorphological Mapping: A Multi-Source Approach for Landscape Characterization. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Cignetti, Martina – PersonEntity: Name: NameFull: Godone, Danilo – PersonEntity: Name: NameFull: Ferrari Trecate, Daniele – PersonEntity: Name: NameFull: Baldo, Marco IsPartOfRelationships: – BibEntity: Dates: – D: 15 M: 02 Text: Feb2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 20724292 Numbering: – Type: volume Value: 17 – Type: issue Value: 4 Titles: – TitleFull: Remote Sensing Type: main |
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