Contribution of Sentinel-2/Landsat-8 OLI Images to Extracting Vegetation Cover and Wetlands Area in Urban Zones: Case of the Dakar Region (Senegal)

Dome Tine; Gayane Faye; Omar Marico; Modou Mbaye; Landing Biaye; Mbagnick Faye; Guilgane Faye

首页> 中文期刊> 《地理信息系统（英文）》 >Contribution of Sentinel-2/Landsat-8 OLI Images to Extracting Vegetation Cover and Wetlands Area in Urban Zones: Case of the Dakar Region (Senegal)

Contribution of Sentinel-2/Landsat-8 OLI Images to Extracting Vegetation Cover and Wetlands Area in Urban Zones: Case of the Dakar Region (Senegal)

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Urban areas house vegetation cover in several forms, fulfilling several ecological functions like thermal regulator, biodiversity, air quality, etc. However, their extent is often not very well known, especially in African cities, making it sometimes difficult to assess their real impact on the urban ecosystem functioning. This work aims to analyse the capacity of satellite sensors for mapping vegetation and wetlands in urban areas. The data produced by the MSI sensors of Sentinel 2 and OLI of Landsat-8 are used to identify and map the vegetation cover in the Dakar region through a supervised classification with the Support Vector Machine (SVM) algorithm. The results show that it is sometimes not very easy to analyse urban vegetation with high spatial resolution images (HRS) resulting from the configuration of the vegetation in an urban environment, sometimes characterized by isolated trees or small green spaces. This explains why Sentinel-2 data which spatial resolution of 10 meters gives a better result compared to Landsat-8 data which is 30 meters. However, a good rendering is noted for the vegetation around the wetlands area for the two sensors resulting from the high density and the size of the vegetated perimeters in this part of the capital. Overall, there is an underestimation of urban vegetation cover, particularly for Landsat-8. The use of very high spatial resolution images could be necessary to better assess the potential of satellite data for monitoring urban vegetation in Sahelian context.

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《地理信息系统（英文）》 |2021年第4期|P.523-537|共15页
作者
Dome Tine; Gayane Faye; Omar Marico; Modou Mbaye; Landing Biaye; Mbagnick Faye; Guilgane Faye;
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作者单位

Département de Géographie Chercheur Associé au Laboratoire de Télédétection Appliquée (LTA) Institut des Sciences de la Terre (IST) Université Cheikh Anta DIOP de Dakar Dakar Sénégal;

Laboratoire de Télédétection Appliquée (LTA) Institut des Sciences de la Terre (IST) Université Cheikh Anta DIOP de Dakar Dakar Sénégal;

Laboratoire de Télédétection Appliquée (LTA) Institut des Sciences de la Terre (IST) Université Cheikh Anta DIOP de Dakar Dakar Sénégal;

Laboratoire de Télédétection Appliquée (LTA) Institut des Sciences de la Terre (IST) Université Cheikh Anta DIOP de Dakar Dakar Sénégal;

Laboratoire de Télédétection Appliquée (LTA) Institut des Sciences de la Terre (IST) Université Cheikh Anta DIOP de Dakar Dakar Sénégal;

Département de Géographie Cheikh Anta DIOP University of Dakar Dakar Sénégal;

Département de Géographie Cheikh Anta DIOP University of Dakar Dakar Sénégal;

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正文语种 chi
中图分类植物学;
关键词
Remote Sensing; Urban Area; Vegetation; Wetland Area; Dakar;

Contribution of Sentinel-2/Landsat-8 OLI Images to Extracting Vegetation Cover and Wetlands Area in Urban Zones: Case of the Dakar Region (Senegal)

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