Contribution of environmental factors to temperature distribution at different resolution levels on the forefield of the Loven Glaciers (Svalbard)
ACL International audience The climate and its components (temperature and precipitation) are organised according to different spatial scales that are structured hierarchically. The aim of this paper is to explore the dependence between temperature and deterministic factors at different scales on a...
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fttriple:oai:gotriple.eu:10670/1.p0s2bc 2023-05-15T18:02:37+02:00 Contribution of environmental factors to temperature distribution at different resolution levels on the forefield of the Loven Glaciers (Svalbard) Joly, Daniel Brossard, Thierry Théoriser et modéliser pour aménager (UMR 6049) (ThéMA) Université de Franche-Comté (UFC) Université Bourgogne Franche-Comté COMUE (UBFC)-Université Bourgogne Franche-Comté COMUE (UBFC)-Centre National de la Recherche Scientifique (CNRS)-Université de Bourgogne (UB) 2007-01-01 https://hal.archives-ouvertes.fr/hal-00731631 en eng HAL CCSD Cambridge University Press (CUP) hal-00731631 10670/1.p0s2bc https://hal.archives-ouvertes.fr/hal-00731631 undefined Hyper Article en Ligne - Sciences de l'Homme et de la Société ISSN: 0032-2474 EISSN: 1475-3057 Polar Record Polar Record, Cambridge University Press (CUP), 2007, 43 (4), pp.353-359 geo envir Journal Article https://vocabularies.coar-repositories.org/resource_types/c_6501/ 2007 fttriple 2023-01-22T18:39:11Z ACL International audience The climate and its components (temperature and precipitation) are organised according to different spatial scales that are structured hierarchically. The aim of this paper is to explore the dependence between temperature and deterministic factors at different scales on a 10 km2 study area on the northwestern coast of Svalbard. A GIS was developed which contained three sources of information: temperature, remotely sensed imagery and digital elevation models (DEM), and derived raster data layers. The first layer, temperatures, was acquired at regularly observed temporal intervals from 53 stations. The second layer comprised remotely sensed images (aerial photography and SPOT imagery) and DEM data at 2 m and 20 m resolution, respectively. From these, a windowing procedure was applied to derive several spatial subsets of different spatial resolutions (6, 14, 30, 60, 140, and 300 m). The third layer comprised slope, aspect, and a theoretical solar radiation value derived from the DEM, and a vegetation index derived from the remotely sensed imagery. Linear regressions were then systematically conducted on the datasets, with temperature as the dependent variable, and each of the other data layers as the independent variables. By using graphical analysis, we link the correlation coefficients obtained for each factor, from the smallest spatial resolution (6 m) to the largest resolution (300 m). The results indicated that each explanatory variable and scale brings a specific contribution to changes in temperature. For example, the effect of elevation remains constant for all spatial resolutions, reflecting a quasi 'non-scalar' pattern of this variable. For other variables however, the effect of spatial scale can have a strong effect. In the case of solar radiation, a maximum of explanation was obtained for spatial resolutions of 14 m and 60 m; for vegetation index the optimum contribution was related to the 300 m resolution. Thus, different environment characteristics may have significant ... Article in Journal/Newspaper Polar Record Svalbard Unknown Svalbard |
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English |
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geo envir Joly, Daniel Brossard, Thierry Contribution of environmental factors to temperature distribution at different resolution levels on the forefield of the Loven Glaciers (Svalbard) |
topic_facet |
geo envir |
description |
ACL International audience The climate and its components (temperature and precipitation) are organised according to different spatial scales that are structured hierarchically. The aim of this paper is to explore the dependence between temperature and deterministic factors at different scales on a 10 km2 study area on the northwestern coast of Svalbard. A GIS was developed which contained three sources of information: temperature, remotely sensed imagery and digital elevation models (DEM), and derived raster data layers. The first layer, temperatures, was acquired at regularly observed temporal intervals from 53 stations. The second layer comprised remotely sensed images (aerial photography and SPOT imagery) and DEM data at 2 m and 20 m resolution, respectively. From these, a windowing procedure was applied to derive several spatial subsets of different spatial resolutions (6, 14, 30, 60, 140, and 300 m). The third layer comprised slope, aspect, and a theoretical solar radiation value derived from the DEM, and a vegetation index derived from the remotely sensed imagery. Linear regressions were then systematically conducted on the datasets, with temperature as the dependent variable, and each of the other data layers as the independent variables. By using graphical analysis, we link the correlation coefficients obtained for each factor, from the smallest spatial resolution (6 m) to the largest resolution (300 m). The results indicated that each explanatory variable and scale brings a specific contribution to changes in temperature. For example, the effect of elevation remains constant for all spatial resolutions, reflecting a quasi 'non-scalar' pattern of this variable. For other variables however, the effect of spatial scale can have a strong effect. In the case of solar radiation, a maximum of explanation was obtained for spatial resolutions of 14 m and 60 m; for vegetation index the optimum contribution was related to the 300 m resolution. Thus, different environment characteristics may have significant ... |
author2 |
Théoriser et modéliser pour aménager (UMR 6049) (ThéMA) Université de Franche-Comté (UFC) Université Bourgogne Franche-Comté COMUE (UBFC)-Université Bourgogne Franche-Comté COMUE (UBFC)-Centre National de la Recherche Scientifique (CNRS)-Université de Bourgogne (UB) |
format |
Article in Journal/Newspaper |
author |
Joly, Daniel Brossard, Thierry |
author_facet |
Joly, Daniel Brossard, Thierry |
author_sort |
Joly, Daniel |
title |
Contribution of environmental factors to temperature distribution at different resolution levels on the forefield of the Loven Glaciers (Svalbard) |
title_short |
Contribution of environmental factors to temperature distribution at different resolution levels on the forefield of the Loven Glaciers (Svalbard) |
title_full |
Contribution of environmental factors to temperature distribution at different resolution levels on the forefield of the Loven Glaciers (Svalbard) |
title_fullStr |
Contribution of environmental factors to temperature distribution at different resolution levels on the forefield of the Loven Glaciers (Svalbard) |
title_full_unstemmed |
Contribution of environmental factors to temperature distribution at different resolution levels on the forefield of the Loven Glaciers (Svalbard) |
title_sort |
contribution of environmental factors to temperature distribution at different resolution levels on the forefield of the loven glaciers (svalbard) |
publisher |
HAL CCSD |
publishDate |
2007 |
url |
https://hal.archives-ouvertes.fr/hal-00731631 |
geographic |
Svalbard |
geographic_facet |
Svalbard |
genre |
Polar Record Svalbard |
genre_facet |
Polar Record Svalbard |
op_source |
Hyper Article en Ligne - Sciences de l'Homme et de la Société ISSN: 0032-2474 EISSN: 1475-3057 Polar Record Polar Record, Cambridge University Press (CUP), 2007, 43 (4), pp.353-359 |
op_relation |
hal-00731631 10670/1.p0s2bc https://hal.archives-ouvertes.fr/hal-00731631 |
op_rights |
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1766173001243426816 |