scholarly journals Cartographie de la déforestation à la base de l'imagerie satellitaire dans le départament de l'Alibori au nord du Benin

2021 ◽  
Vol 223 ◽  
pp. 200-216
Author(s):  
Mama Djaouga ◽  
Ousséni Arouna ◽  
Soufouyane Zakari ◽  
Sébastien Kouta ◽  
Yaya Issifou Moumouni ◽  
...  
Keyword(s):  

La déforestation et la dégradation de l’environnement ont évolué au gré des conditions naturelles et de l’action anthropique. Dans le Département de l’Alibori, la production cotonnière, l’élevage bovin essentiellement extensif et transhumant, l’exploitation forestière,  les influences climatiques sahéliennes et l’urbanisation sont autant de facteurs qui accélèrent la déforestation. L’objectif de la présente recherche est d’évaluer la déforestation dans le Département de l’Alibori à base de l’imagerie satellitaire. Les données planimétriques issues des images SPOT 5 et 7 de 2005 et de 2015 fournies par le Projet OSFACO ont été interprétées et analysées. La classification supervisée couplée à l’interprétation visuelle des images SPOT dans le logiciel QGIS 2.18 ont été utilisées. Le contrôle-terrain a été effectué à travers 852 points GPS. La précision moyenne des cartes d’occupation des terres est d’environ 96 %. Les résultats révèlent une régression des formations végétales naturelles au profit des mosaïques de champs et jachères. Les forêts galeries, les forêts denses sèches, les forêts claires et savanes boisées et les savanes arborées et arbustives ont été converties en mosaïques de champs et jachères et en agglomérations. Les terroirs villageois sont plus touchés par la déforestation que les aires protégées qui occupent près de 45 % de la superficie du Département. Le taux de déforestation sur l’ensemble du Département est de 2,84 %. Ce taux est de 3,71 % dans les terroirs villageois et de 0,72 % dans les aires protégées. Ainsi, 37,56 % de la superficie du Département est touchée par la déforestation dont plus de 51,27 % des terroirs villageois et 15,05 % des aires protégées. Par ailleurs, 2,66 % du département est touché par la dégradation, 1,40 % a été reconstitué naturellement et seulement 0,35 % a connu une amélioration. La restauration de ces zones dégradées s’avère nécessaire dans le Département de l’Alibori considéré comme le bassin cotonnier du Bénin.

2004 ◽  
Vol 14 (3-4) ◽  
pp. 331-357
Author(s):  
Anne Jacquin ◽  
Michel Gay ◽  
Véronique Chéret
Keyword(s):  

2005 ◽  
Vol 15 (2) ◽  
pp. 143-157
Author(s):  
Christian Puech ◽  
Michel Deshayes ◽  
Yolanda Navarro
Keyword(s):  

2018 ◽  
pp. 99-107
Author(s):  
V. V. Lavrov ◽  
R. S. Luchkin ◽  
O. I. Nemykin ◽  
M. E. Prokhorov ◽  
Yu. G. Ryndin ◽  
...  

Methods and algorithms for the complete processing of a post-detector low-contrast optical image (OI) of an unknown remote object obtained by ground-based optical means of observation under conditions of a complex background situation are considered. The purpose of processing is to separate and interpret at least with the help of the analyst, of the main constructive elements using the integrated indicators introduced in [6] and the characteristics of the analyzed OI, which are connected by the information, topological and metric structures of the OI. The stages of processing the OI include extracting the image-containing information object of the image portion (detection) and filtration of the OI, using recursive rank filtering. The final stages of processing include the segmentation of the OI and the allocation on it constructive elements using the apparatus of graph theory. An example of image processing of a Spot-5 spacecraft obtained in real conditions is given. It is shown that in this case at the detection stage it is possible to reduce the volume of information processed at subsequent stages by 8 times, in the filtration process to increase the compactness of the OI and to increase its connectivity in comparison with the post-detection OI. As a result of segmentation and allocation of constructive elements, three structural elements that can be interpreted as a spacecraft case and two remote panels can be identified with the analyst’s participation.


Land ◽  
2019 ◽  
Vol 8 (12) ◽  
pp. 193
Author(s):  
Ali Alghamdi ◽  
Anthony R. Cummings

The implications of change on local processes have attracted significant research interest in recent times. In urban settings, green spaces and forests have attracted much attention. Here, we present an assessment of change within the predominantly desert Middle Eastern city of Riyadh, an understudied setting. We utilized high-resolution SPOT 5 data and two classification techniques—maximum likelihood classification and object-oriented classification—to study the changes in Riyadh between 2004 and 2014. Imagery classification was completed with training data obtained from the SPOT 5 dataset, and an accuracy assessment was completed through a combination of field surveys and an application developed in ESRI Survey 123 tool. The Survey 123 tool allowed residents of Riyadh to present their views on land cover for the 2004 and 2014 imagery. Our analysis showed that soil or ‘desert’ areas were converted to roads and buildings to accommodate for Riyadh’s rapidly growing population. The object-oriented classifier provided higher overall accuracy than the maximum likelihood classifier (74.71% and 73.79% vs. 92.36% and 90.77% for 2004 and 2014). Our work provides insights into the changes within a desert environment and establishes a foundation for understanding change in this understudied setting.


2013 ◽  
Vol 779-780 ◽  
pp. 1213-1219
Author(s):  
Shu Qin Chen ◽  
Lei Zhang ◽  
Zhao Sheng Chu ◽  
She Rong Hu

At present there are few studies on the AVS and SEM in sediments of Chaohu Lake. Most of the previous studies on heavy metals based on the one time, the short-time or a local-scale survey. In this paper, [AVS] and [SEM] in Chaohu Lake surface sediments were studied for different seasons in 2007, 2008 and 2009. The results showed that: (a) The three-year average of [AV and [ΣSE in surface sediments of Chaohu Lake is 4.2μmolg-1and 2.31μmolg-1, respectively. The maximum of [AV appears on spot 5 (14.845μmolg-1) in summer while the minimum appears on spot 9 (0.13μmolg-1) in winter. (b) In spot 5 which near the estuary of Yuxi River, three-year average of [SE was the maximum (5.81μmolg-1), and the minimum of [ΣSE (0.07μmolg-1) appears on spot 8 which locates in the middle of Chaohu Lake. In spot 13 the [ΣSEM]-[AVS]=3.2>2 and [ΣSEM]/[AVS]=4.45>2.34 indicate that heavy metal contaminants from Hefei city have threatened the biosafety of Chaohu Lake. (c) The spatial autocorrelation of SEMCdis weak, which indicates that spatial distribution of SEMCdis determined by anthropogenic factors rather than sediments' own attribute. Chaohu Lake has been heavily polluted by Cd from no-point source and electronic electroplating industry.


2014 ◽  
Vol 35 (3) ◽  
pp. 1126-1142 ◽  
Author(s):  
Ning Han ◽  
Huaqiang Du ◽  
Guomo Zhou ◽  
Xiaoyan Sun ◽  
Hongli Ge ◽  
...  

2005 ◽  
Vol 94 (1) ◽  
pp. 39-45 ◽  
Author(s):  
Vanina Pasqualini ◽  
Christine Pergent-Martini ◽  
Gérard Pergent ◽  
Magali Agreil ◽  
Georges Skoufas ◽  
...  
Keyword(s):  

Sign in / Sign up

Export Citation Format

Share Document