Cartographie par télédétection des variations spatio-temporelles de la couverture végétale spontanée face à la variabilité pluviométrique au Sahel : approche multiscalaire

The Sahel is a fragile region, characterized in recent decades by profound changes in land use, which are the result of complex interactions between societies and their environment. These phenomena, which modulate and transform the landscape, take place on several spatial and temporal scales. Howeve...

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Main Authors: Oumar Marega, José-Luis San Emeterio, Ababacar Fall, Julien Andrieu
Format: Article
Language:English
Published: Physio-Géo 2021-01-01
Series:Physio-Géo
Subjects:
Online Access:http://journals.openedition.org/physio-geo/11977
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spelling doaj-fb2c337daa574466ade7ed0b72e3a3f22021-01-04T07:51:24ZengPhysio-GéoPhysio-Géo1958-573X2021-01-011612810.4000/physio-geo.11977Cartographie par télédétection des variations spatio-temporelles de la couverture végétale spontanée face à la variabilité pluviométrique au Sahel : approche multiscalaireOumar MaregaJosé-Luis San EmeterioAbabacar FallJulien AndrieuThe Sahel is a fragile region, characterized in recent decades by profound changes in land use, which are the result of complex interactions between societies and their environment. These phenomena, which modulate and transform the landscape, take place on several spatial and temporal scales. However, few studies have highlighted this multidimensional reality, most generally focusing only on the local or regional level, and on a single site. In this study, we mobilized two scales (local and regional) on three different sites. On the one hand, we performed a diachronic mapping of land cover by the analysis of multispectral Landsat images and, on the other hand, we studied its articulation with NDVI and rainfall time series.The results bring out an original synthesis of the land cover trends observed in the Sahelian agro-pastoral zone. They help understanding the complexity of the multi-scale phenomena that characterize the evolution of Sahelian areas. If the analysis of the time series confirms, as has been observed by several authors, an overall regreening trend on a regional basis as a result of the improvement in rainfall conditions from the 1990s, the diachronic analyzes proposed in this study found significant contrasts at finer scales. Considering the total area mapped (Landsat images covering each region), the areas of vegetation cover progression between 1999 and 2010 represent 18 % of the Gourma area and 27 % for Fakara. In terms of net change between 1999 and 2010, in Fakara which has the highest rate of progression (+13 %), the Dantiandou municipality shows, in contrast, a negative rate (-35 %) which is not the case in the two other studied municipalities: +7 % for Téssékré (in Ferlo) and +12 % for Hombori (in Gourma).http://journals.openedition.org/physio-geo/11977remote sensingchanges mappingland covervegetationrainfallNDVI
collection DOAJ
language English
format Article
sources DOAJ
author Oumar Marega
José-Luis San Emeterio
Ababacar Fall
Julien Andrieu
spellingShingle Oumar Marega
José-Luis San Emeterio
Ababacar Fall
Julien Andrieu
Cartographie par télédétection des variations spatio-temporelles de la couverture végétale spontanée face à la variabilité pluviométrique au Sahel : approche multiscalaire
Physio-Géo
remote sensing
changes mapping
land cover
vegetation
rainfall
NDVI
author_facet Oumar Marega
José-Luis San Emeterio
Ababacar Fall
Julien Andrieu
author_sort Oumar Marega
title Cartographie par télédétection des variations spatio-temporelles de la couverture végétale spontanée face à la variabilité pluviométrique au Sahel : approche multiscalaire
title_short Cartographie par télédétection des variations spatio-temporelles de la couverture végétale spontanée face à la variabilité pluviométrique au Sahel : approche multiscalaire
title_full Cartographie par télédétection des variations spatio-temporelles de la couverture végétale spontanée face à la variabilité pluviométrique au Sahel : approche multiscalaire
title_fullStr Cartographie par télédétection des variations spatio-temporelles de la couverture végétale spontanée face à la variabilité pluviométrique au Sahel : approche multiscalaire
title_full_unstemmed Cartographie par télédétection des variations spatio-temporelles de la couverture végétale spontanée face à la variabilité pluviométrique au Sahel : approche multiscalaire
title_sort cartographie par télédétection des variations spatio-temporelles de la couverture végétale spontanée face à la variabilité pluviométrique au sahel : approche multiscalaire
publisher Physio-Géo
series Physio-Géo
issn 1958-573X
publishDate 2021-01-01
description The Sahel is a fragile region, characterized in recent decades by profound changes in land use, which are the result of complex interactions between societies and their environment. These phenomena, which modulate and transform the landscape, take place on several spatial and temporal scales. However, few studies have highlighted this multidimensional reality, most generally focusing only on the local or regional level, and on a single site. In this study, we mobilized two scales (local and regional) on three different sites. On the one hand, we performed a diachronic mapping of land cover by the analysis of multispectral Landsat images and, on the other hand, we studied its articulation with NDVI and rainfall time series.The results bring out an original synthesis of the land cover trends observed in the Sahelian agro-pastoral zone. They help understanding the complexity of the multi-scale phenomena that characterize the evolution of Sahelian areas. If the analysis of the time series confirms, as has been observed by several authors, an overall regreening trend on a regional basis as a result of the improvement in rainfall conditions from the 1990s, the diachronic analyzes proposed in this study found significant contrasts at finer scales. Considering the total area mapped (Landsat images covering each region), the areas of vegetation cover progression between 1999 and 2010 represent 18 % of the Gourma area and 27 % for Fakara. In terms of net change between 1999 and 2010, in Fakara which has the highest rate of progression (+13 %), the Dantiandou municipality shows, in contrast, a negative rate (-35 %) which is not the case in the two other studied municipalities: +7 % for Téssékré (in Ferlo) and +12 % for Hombori (in Gourma).
topic remote sensing
changes mapping
land cover
vegetation
rainfall
NDVI
url http://journals.openedition.org/physio-geo/11977
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