Thermal photogrammetry on a permafrost rock wall for the active layer monitoring
Permafrost and active layer models often cannot explain the high spatial variability, especially in heterogeneous environments like the mountainous regions due to their scarce resolution, paucity of climatic data and topographic details. In this study, we want to introduce a new application of the u...
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ftuninsubriairis:oai:irinsubria.uninsubria.it:11383/2166832 2024-04-14T08:00:08+00:00 Thermal photogrammetry on a permafrost rock wall for the active layer monitoring Ponti, Stefano Girola, Irene Guglielmin, Mauro Ponti, Stefano Girola, Irene Guglielmin, Mauro 2024 ELETTRONICO https://hdl.handle.net/11383/2166832 https://doi.org/10.1016/j.scitotenv.2024.170391 eng eng info:eu-repo/semantics/altIdentifier/pmid/38281645 volume:917 firstpage:1 lastpage:15 numberofpages:15 journal:SCIENCE OF THE TOTAL ENVIRONMENT https://hdl.handle.net/11383/2166832 doi:10.1016/j.scitotenv.2024.170391 info:eu-repo/semantics/openAccess ALT modelling Permafrost Rock wall Thermal inertia Thermal photogrammetry info:eu-repo/semantics/article 2024 ftuninsubriairis https://doi.org/10.1016/j.scitotenv.2024.170391 2024-03-21T19:14:02Z Permafrost and active layer models often cannot explain the high spatial variability, especially in heterogeneous environments like the mountainous regions due to their scarce resolution, paucity of climatic data and topographic details. In this study, we want to introduce a new application of the unmanned aerial vehicle (UAV) in thermal photogrammetry to model the active layer thickness (ALT) of an alpine rock wall through the computation of the thermal inertia and compare the results with a widespread ALT model. On the Gran Zebrù South rock wall, 8 thermal UAV surveys has been conducted in 4 different summer days during 2021-2022 in order to have two 3D thermal models per day at different solar radiation inputs. By analyzing topographic data, visible imagery and the thermal models, the apparent thermal inertias (ATIs) have been converted into heat transfer coefficients (HTCs) and then into ALT of 2021 and 2022. These maps have been validated through the placement of thermistors at different elevations and with variable depths (2, 15 and 40 cm from the rock surface). The resulting ALT has been compared with the Stefan's solution and the alpine permafrost index map (APIM), which showed large underestimations and a noncorrespondence with permafrost occurrence. The average ALT increase of 29.3 cm from 2021 to 2022 has been discussed regarding permafrost formation/degradation future trend under the climatic change and potential risks of alpine areas. Article in Journal/Newspaper Active layer monitoring Active layer thickness permafrost IRInSubria - Institutional Repository Insubria (Università degli Studi dell’Insubria) Science of The Total Environment 917 170391 |
institution |
Open Polar |
collection |
IRInSubria - Institutional Repository Insubria (Università degli Studi dell’Insubria) |
op_collection_id |
ftuninsubriairis |
language |
English |
topic |
ALT modelling Permafrost Rock wall Thermal inertia Thermal photogrammetry |
spellingShingle |
ALT modelling Permafrost Rock wall Thermal inertia Thermal photogrammetry Ponti, Stefano Girola, Irene Guglielmin, Mauro Thermal photogrammetry on a permafrost rock wall for the active layer monitoring |
topic_facet |
ALT modelling Permafrost Rock wall Thermal inertia Thermal photogrammetry |
description |
Permafrost and active layer models often cannot explain the high spatial variability, especially in heterogeneous environments like the mountainous regions due to their scarce resolution, paucity of climatic data and topographic details. In this study, we want to introduce a new application of the unmanned aerial vehicle (UAV) in thermal photogrammetry to model the active layer thickness (ALT) of an alpine rock wall through the computation of the thermal inertia and compare the results with a widespread ALT model. On the Gran Zebrù South rock wall, 8 thermal UAV surveys has been conducted in 4 different summer days during 2021-2022 in order to have two 3D thermal models per day at different solar radiation inputs. By analyzing topographic data, visible imagery and the thermal models, the apparent thermal inertias (ATIs) have been converted into heat transfer coefficients (HTCs) and then into ALT of 2021 and 2022. These maps have been validated through the placement of thermistors at different elevations and with variable depths (2, 15 and 40 cm from the rock surface). The resulting ALT has been compared with the Stefan's solution and the alpine permafrost index map (APIM), which showed large underestimations and a noncorrespondence with permafrost occurrence. The average ALT increase of 29.3 cm from 2021 to 2022 has been discussed regarding permafrost formation/degradation future trend under the climatic change and potential risks of alpine areas. |
author2 |
Ponti, Stefano Girola, Irene Guglielmin, Mauro |
format |
Article in Journal/Newspaper |
author |
Ponti, Stefano Girola, Irene Guglielmin, Mauro |
author_facet |
Ponti, Stefano Girola, Irene Guglielmin, Mauro |
author_sort |
Ponti, Stefano |
title |
Thermal photogrammetry on a permafrost rock wall for the active layer monitoring |
title_short |
Thermal photogrammetry on a permafrost rock wall for the active layer monitoring |
title_full |
Thermal photogrammetry on a permafrost rock wall for the active layer monitoring |
title_fullStr |
Thermal photogrammetry on a permafrost rock wall for the active layer monitoring |
title_full_unstemmed |
Thermal photogrammetry on a permafrost rock wall for the active layer monitoring |
title_sort |
thermal photogrammetry on a permafrost rock wall for the active layer monitoring |
publishDate |
2024 |
url |
https://hdl.handle.net/11383/2166832 https://doi.org/10.1016/j.scitotenv.2024.170391 |
genre |
Active layer monitoring Active layer thickness permafrost |
genre_facet |
Active layer monitoring Active layer thickness permafrost |
op_relation |
info:eu-repo/semantics/altIdentifier/pmid/38281645 volume:917 firstpage:1 lastpage:15 numberofpages:15 journal:SCIENCE OF THE TOTAL ENVIRONMENT https://hdl.handle.net/11383/2166832 doi:10.1016/j.scitotenv.2024.170391 |
op_rights |
info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.1016/j.scitotenv.2024.170391 |
container_title |
Science of The Total Environment |
container_volume |
917 |
container_start_page |
170391 |
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