Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1016/j.jaridenv.2021.104463 |
Differential Morphological Profile on remote sensing images for vegetation mapping in a semi-arid region of the Algerian Saharan Atlas | |
Kemmouche, Akila; L'Haddad, Samir; Merazi-Meksen, Thouraya; Taibi, Aude Nuscia | |
通讯作者 | Kemmouche, A (corresponding author), Univ Sci & Technol Houari Boumediene USTHB, Fac Elect & Comp Sci, BP32, Algiers 16111, Algeria. |
来源期刊 | JOURNAL OF ARID ENVIRONMENTS
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ISSN | 0140-1963 |
EISSN | 1095-922X |
出版年 | 2021 |
卷号 | 188 |
英文摘要 | In this paper, a new approach for mapping polygenic depressions colonised by vegetation is presented. These spatially periodic vegetation patterns situated in the arid areas of North Africa are known locally as Dayas. The mapping of these structures is an important component in monitoring their evolution which can be regarded as an indicator of socio-environmental conditions. For this purpose, a method based on satellite image analysis is proposed. First, Landsat Thematic Mapper image inspection is performed to highlight the vegetation spots using the Normalized Difference Vegetation Index (NDVI). Then, a Differential Morphological Profile (DMP) which includes both spectral and morphological information, is built for each NDVI pixel. We adapt the F-Score technique combined with the SVM classifier, to select and classify the most effective DMP images in order to extract the Daya?s signature. Using feature selection, overall classification accuracy reached 97.8% with a kappa value of 95.61 but also reduced the dimension of the DMP vector. Dayas? morphological and vegetation characteristics are related to their degree of evolution. Furthermore, we categorise categorise the 170 extracted Dayas into three classes according to their size. On the resulting map, each class corresponds to a specific morphological and vegetation evolution stage. |
英文关键词 | Vegetation mapping Semi-arid area Satellite images Mathematical morphology F-score |
类型 | Review |
语种 | 英语 |
收录类别 | SCI-E |
WOS记录号 | WOS:000629345700002 |
WOS类目 | Ecology ; Environmental Sciences |
WOS研究方向 | Environmental Sciences & Ecology |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/350681 |
作者单位 | [Kemmouche, Akila; L'Haddad, Samir; Merazi-Meksen, Thouraya] Univ Sci & Technol Houari Boumediene USTHB, Fac Elect & Comp Sci, BP32, Algiers 16111, Algeria; [Taibi, Aude Nuscia] Univ Angers, CNRS, SFR CONFLUENCES, ESO, 5 Bis Blvd Lavoisier, F-49000 Angers, France |
推荐引用方式 GB/T 7714 | Kemmouche, Akila,L'Haddad, Samir,Merazi-Meksen, Thouraya,et al. Differential Morphological Profile on remote sensing images for vegetation mapping in a semi-arid region of the Algerian Saharan Atlas[J],2021,188. |
APA | Kemmouche, Akila,L'Haddad, Samir,Merazi-Meksen, Thouraya,&Taibi, Aude Nuscia.(2021).Differential Morphological Profile on remote sensing images for vegetation mapping in a semi-arid region of the Algerian Saharan Atlas.JOURNAL OF ARID ENVIRONMENTS,188. |
MLA | Kemmouche, Akila,et al."Differential Morphological Profile on remote sensing images for vegetation mapping in a semi-arid region of the Algerian Saharan Atlas".JOURNAL OF ARID ENVIRONMENTS 188(2021). |
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