Thermal Remote Sensing from UAVs: A Review on Methods in Coastal Cliffs Prone to Landslides
Coastal retreat is a non-recoverable phenomenon that—together with a relevant proneness to landslides—has economic, social and environmental impacts. Quantitative data on geological and geomorphologic features of such areas can help to predict and quantify the phenomena and to propose mitigation mea...
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-06-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/12/12/1971 |
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| author | Maria Teresa Melis Stefania Da Pelo Ivan Erbì Marco Loche Giacomo Deiana Valentino Demurtas Mattia Alessio Meloni Francesco Dessì Antonio Funedda Marco Scaioni Gianvito Scaringi |
| author_facet | Maria Teresa Melis Stefania Da Pelo Ivan Erbì Marco Loche Giacomo Deiana Valentino Demurtas Mattia Alessio Meloni Francesco Dessì Antonio Funedda Marco Scaioni Gianvito Scaringi |
| author_sort | Maria Teresa Melis |
| collection | DOAJ |
| description | Coastal retreat is a non-recoverable phenomenon that—together with a relevant proneness to landslides—has economic, social and environmental impacts. Quantitative data on geological and geomorphologic features of such areas can help to predict and quantify the phenomena and to propose mitigation measures to reduce their impact. Coastal areas are often inaccessible for sampling and in situ surveys, in particular where steeply sloping cliffs are present. Uses and capability of infrared thermography (IRT) were reviewed, highlighting its suitability in geological and landslides hazard applications. Thanks to the high resolution of the cameras on the market, unmanned aerial vehicle-based IRT allows to acquire large amounts of data from inaccessible steep cliffs. Coupled structure-from-motion photogrammetry and coregistration of data can improve accuracy of IRT data. According to the strengths recognized in the reviewed literature, a three-step methodological approach to produce IRTs was proposed. |
| first_indexed | 2024-03-10T19:02:01Z |
| format | Article |
| id | doaj.art-31ec53f40342476d9431ab7255e605a0 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-10T19:02:01Z |
| publishDate | 2020-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-31ec53f40342476d9431ab7255e605a02023-11-20T04:21:17ZengMDPI AGRemote Sensing2072-42922020-06-011212197110.3390/rs12121971Thermal Remote Sensing from UAVs: A Review on Methods in Coastal Cliffs Prone to LandslidesMaria Teresa Melis0Stefania Da Pelo1Ivan Erbì2Marco Loche3Giacomo Deiana4Valentino Demurtas5Mattia Alessio Meloni6Francesco Dessì7Antonio Funedda8Marco Scaioni9Gianvito Scaringi10Department of Chemical and Geological Sciences, University of Cagliari, Cittadella Universitaria S.S. 554 bivio per Sestu I, 09042 Monserrato, CA, ItalyDepartment of Chemical and Geological Sciences, University of Cagliari, Cittadella Universitaria S.S. 554 bivio per Sestu I, 09042 Monserrato, CA, ItalyDepartment of Chemical and Geological Sciences, University of Cagliari, Cittadella Universitaria S.S. 554 bivio per Sestu I, 09042 Monserrato, CA, ItalyDepartment of Chemical and Geological Sciences, University of Cagliari, Cittadella Universitaria S.S. 554 bivio per Sestu I, 09042 Monserrato, CA, ItalyDepartment of Chemical and Geological Sciences, University of Cagliari, Cittadella Universitaria S.S. 554 bivio per Sestu I, 09042 Monserrato, CA, ItalyDepartment of Chemical and Geological Sciences, University of Cagliari, Cittadella Universitaria S.S. 554 bivio per Sestu I, 09042 Monserrato, CA, ItalyDepartment of Chemical and Geological Sciences, University of Cagliari, Cittadella Universitaria S.S. 554 bivio per Sestu I, 09042 Monserrato, CA, ItalyDepartment of Chemical and Geological Sciences, University of Cagliari, Cittadella Universitaria S.S. 554 bivio per Sestu I, 09042 Monserrato, CA, ItalyDepartment of Chemical and Geological Sciences, University of Cagliari, Cittadella Universitaria S.S. 554 bivio per Sestu I, 09042 Monserrato, CA, ItalyDepartment of Architecture, Built environment and Construction engineering, Politecnico di Milano, via Ponzio 31, 20133 Milano, ItalyInstitute of Hydrogeology, Engineering Geology and Applied Geophysics, Charles University, Albertov 6, 128 43 Prague 2, Czech RepublicCoastal retreat is a non-recoverable phenomenon that—together with a relevant proneness to landslides—has economic, social and environmental impacts. Quantitative data on geological and geomorphologic features of such areas can help to predict and quantify the phenomena and to propose mitigation measures to reduce their impact. Coastal areas are often inaccessible for sampling and in situ surveys, in particular where steeply sloping cliffs are present. Uses and capability of infrared thermography (IRT) were reviewed, highlighting its suitability in geological and landslides hazard applications. Thanks to the high resolution of the cameras on the market, unmanned aerial vehicle-based IRT allows to acquire large amounts of data from inaccessible steep cliffs. Coupled structure-from-motion photogrammetry and coregistration of data can improve accuracy of IRT data. According to the strengths recognized in the reviewed literature, a three-step methodological approach to produce IRTs was proposed.https://www.mdpi.com/2072-4292/12/12/1971coastal landslidesthermal remote sensingUAVinfrared thermography |
| spellingShingle | Maria Teresa Melis Stefania Da Pelo Ivan Erbì Marco Loche Giacomo Deiana Valentino Demurtas Mattia Alessio Meloni Francesco Dessì Antonio Funedda Marco Scaioni Gianvito Scaringi Thermal Remote Sensing from UAVs: A Review on Methods in Coastal Cliffs Prone to Landslides Remote Sensing coastal landslides thermal remote sensing UAV infrared thermography |
| title | Thermal Remote Sensing from UAVs: A Review on Methods in Coastal Cliffs Prone to Landslides |
| title_full | Thermal Remote Sensing from UAVs: A Review on Methods in Coastal Cliffs Prone to Landslides |
| title_fullStr | Thermal Remote Sensing from UAVs: A Review on Methods in Coastal Cliffs Prone to Landslides |
| title_full_unstemmed | Thermal Remote Sensing from UAVs: A Review on Methods in Coastal Cliffs Prone to Landslides |
| title_short | Thermal Remote Sensing from UAVs: A Review on Methods in Coastal Cliffs Prone to Landslides |
| title_sort | thermal remote sensing from uavs a review on methods in coastal cliffs prone to landslides |
| topic | coastal landslides thermal remote sensing UAV infrared thermography |
| url | https://www.mdpi.com/2072-4292/12/12/1971 |
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