Etude expérimentale en cartographie de la végétation par télédétection
The purpose of this study is to evaluate the potential of aerial and satellite imageries of high spatial resolution for large scale vegetation mapping on Brittany, Normandy and Pays de la Loire regions at 1/25 000. Different types of images (BDORTHO® IRC, SPOT5, Worldview-2) were acquired for four s...
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Unité Mixte de Recherche 8504 Géographie-cités
2015
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oai:doaj.org-article:fefa7fb4b0db4d479c195ec18dad8ad62021-12-02T11:14:07ZEtude expérimentale en cartographie de la végétation par télédétection1278-336610.4000/cybergeo.27067https://doaj.org/article/fefa7fb4b0db4d479c195ec18dad8ad62015-06-01T00:00:00Zhttp://journals.openedition.org/cybergeo/27067https://doaj.org/toc/1278-3366The purpose of this study is to evaluate the potential of aerial and satellite imageries of high spatial resolution for large scale vegetation mapping on Brittany, Normandy and Pays de la Loire regions at 1/25 000. Different types of images (BDORTHO® IRC, SPOT5, Worldview-2) were acquired for four sites which represent vegetation diversity in the North-West of France. Classification processes were established and their reproducibility was assessed on another site. The classification used is the nested classification system of the National Botanical Conservatory of Brest (CBN), that schedules a phytosociological typology and a physiognomical typology. This nested classification system is compatible with remote sensing. An object-oriented classification was applied on images. It was combined with pixel-based classification when applied on the Worldview-2 image. Results were evaluated at three classification levels, corresponding to land cover, large vegetation types, and plant formation types. Best results, from more conclusive to less conclusive, were obtained with Worldview-2 image, then BDORTHO® IRC and then SPOT5 images. Some results are not satisfactory for some classes of plant formation type level, but they could be improved in adding photo-interpretation in post-processing, in using multi-date images from different sensors and in using GIS data.Vanessa SellinSylvie MagnanonFrançoise GourmelonFrançoise DebaineJean NabucetUnité Mixte de Recherche 8504 Géographie-citésarticlevegetationmappingWorldview-2ortho-imagesSpot satellite imageobject-orientedGeography (General)G1-922DEENFRITPTCybergeo (2015) |
| institution |
DOAJ |
| collection |
DOAJ |
| language |
DE EN FR IT PT |
| topic |
vegetation mapping Worldview-2 ortho-images Spot satellite image object-oriented Geography (General) G1-922 |
| spellingShingle |
vegetation mapping Worldview-2 ortho-images Spot satellite image object-oriented Geography (General) G1-922 Vanessa Sellin Sylvie Magnanon Françoise Gourmelon Françoise Debaine Jean Nabucet Etude expérimentale en cartographie de la végétation par télédétection |
| description |
The purpose of this study is to evaluate the potential of aerial and satellite imageries of high spatial resolution for large scale vegetation mapping on Brittany, Normandy and Pays de la Loire regions at 1/25 000. Different types of images (BDORTHO® IRC, SPOT5, Worldview-2) were acquired for four sites which represent vegetation diversity in the North-West of France. Classification processes were established and their reproducibility was assessed on another site. The classification used is the nested classification system of the National Botanical Conservatory of Brest (CBN), that schedules a phytosociological typology and a physiognomical typology. This nested classification system is compatible with remote sensing. An object-oriented classification was applied on images. It was combined with pixel-based classification when applied on the Worldview-2 image. Results were evaluated at three classification levels, corresponding to land cover, large vegetation types, and plant formation types. Best results, from more conclusive to less conclusive, were obtained with Worldview-2 image, then BDORTHO® IRC and then SPOT5 images. Some results are not satisfactory for some classes of plant formation type level, but they could be improved in adding photo-interpretation in post-processing, in using multi-date images from different sensors and in using GIS data. |
| format |
article |
| author |
Vanessa Sellin Sylvie Magnanon Françoise Gourmelon Françoise Debaine Jean Nabucet |
| author_facet |
Vanessa Sellin Sylvie Magnanon Françoise Gourmelon Françoise Debaine Jean Nabucet |
| author_sort |
Vanessa Sellin |
| title |
Etude expérimentale en cartographie de la végétation par télédétection |
| title_short |
Etude expérimentale en cartographie de la végétation par télédétection |
| title_full |
Etude expérimentale en cartographie de la végétation par télédétection |
| title_fullStr |
Etude expérimentale en cartographie de la végétation par télédétection |
| title_full_unstemmed |
Etude expérimentale en cartographie de la végétation par télédétection |
| title_sort |
etude expérimentale en cartographie de la végétation par télédétection |
| publisher |
Unité Mixte de Recherche 8504 Géographie-cités |
| publishDate |
2015 |
| url |
https://doaj.org/article/fefa7fb4b0db4d479c195ec18dad8ad6 |
| work_keys_str_mv |
AT vanessasellin etudeexperimentaleencartographiedelavegetationparteledetection AT sylviemagnanon etudeexperimentaleencartographiedelavegetationparteledetection AT francoisegourmelon etudeexperimentaleencartographiedelavegetationparteledetection AT francoisedebaine etudeexperimentaleencartographiedelavegetationparteledetection AT jeannabucet etudeexperimentaleencartographiedelavegetationparteledetection |
| _version_ |
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