Cartographie des températures à Tunis par modélisation statistique et télédétection
Tunis, with a population of 2.7 million, is located south of the Mediterranean Sea. Its topography and shape impacts its urban thermal field. Meteorological records given by network stations and mobile surveys have highlighted a multitude of parameters that explain the spatial variability of air tem...
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| Format: | Article |
| Language: | Spanish |
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2018-02-01
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| Series: | M@ppemonde |
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| Online Access: | https://journals.openedition.org/mappemonde/442 |
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| author | Sami Charfi Salem Dahech |
| author_facet | Sami Charfi Salem Dahech |
| author_sort | Sami Charfi |
| collection | DOAJ |
| description | Tunis, with a population of 2.7 million, is located south of the Mediterranean Sea. Its topography and shape impacts its urban thermal field. Meteorological records given by network stations and mobile surveys have highlighted a multitude of parameters that explain the spatial variability of air temperature. In addition, modelling and satellite images were used to estimate the values in areas without observations. Night-time situations were simulated and validated by brightness temperatures given by satellite image. The determination coefficient of the statistical model reaches 0.9 at night. |
| format | Article |
| id | doaj-art-0bc44cb1c7ff464d87771312fa7bcfd0 |
| institution | OA Journals |
| issn | 0764-3470 1769-7298 |
| language | Spanish |
| publishDate | 2018-02-01 |
| publisher | OpenEdition |
| record_format | Article |
| series | M@ppemonde |
| spelling | doaj-art-0bc44cb1c7ff464d87771312fa7bcfd02025-08-20T02:21:20ZspaOpenEditionM@ppemonde0764-34701769-72982018-02-0112310.4000/mappemonde.442Cartographie des températures à Tunis par modélisation statistique et télédétectionSami CharfiSalem DahechTunis, with a population of 2.7 million, is located south of the Mediterranean Sea. Its topography and shape impacts its urban thermal field. Meteorological records given by network stations and mobile surveys have highlighted a multitude of parameters that explain the spatial variability of air temperature. In addition, modelling and satellite images were used to estimate the values in areas without observations. Night-time situations were simulated and validated by brightness temperatures given by satellite image. The determination coefficient of the statistical model reaches 0.9 at night.https://journals.openedition.org/mappemonde/442modellingremote sensingtemperatureTunis |
| spellingShingle | Sami Charfi Salem Dahech Cartographie des températures à Tunis par modélisation statistique et télédétection M@ppemonde modelling remote sensing temperature Tunis |
| title | Cartographie des températures à Tunis par modélisation statistique et télédétection |
| title_full | Cartographie des températures à Tunis par modélisation statistique et télédétection |
| title_fullStr | Cartographie des températures à Tunis par modélisation statistique et télédétection |
| title_full_unstemmed | Cartographie des températures à Tunis par modélisation statistique et télédétection |
| title_short | Cartographie des températures à Tunis par modélisation statistique et télédétection |
| title_sort | cartographie des temperatures a tunis par modelisation statistique et teledetection |
| topic | modelling remote sensing temperature Tunis |
| url | https://journals.openedition.org/mappemonde/442 |
| work_keys_str_mv | AT samicharfi cartographiedestemperaturesatunisparmodelisationstatistiqueetteledetection AT salemdahech cartographiedestemperaturesatunisparmodelisationstatistiqueetteledetection |