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Comparative Analysis of the Classification of Maximum Reality (MVS) and the Spectral Angle Mapper (SAM) of an Aster Image. Case Study: Soil Occupancy in the Main Area (Tunisia)

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Mapping and Spatial Analysis of Socio-economic and Environmental Indicators for Sustainable Development

Part of the book series: Advances in Science, Technology & Innovation ((ASTI))

Abstract

The vegetation cover of the area of Mateur (Tunisia) is characterized by the heterogeneity of its settlements. Such a heterogeneity is caused by the interaction of anthropic, pedological, and climatic factors. In addition, these space and spectral heterogeneities limit the reliability of the conventional methods of classification related to the satellite imagery. Thus, in the present study, we propose the recourse to the methods based on the spectral similarity to chart the dominant vegetable species of the ecosystem of Mateur, that is to say the Spectral angle mapper (SAM) and the classification of maximum of probabilities (MVS). We also aim at not only comparing procedures of extraction of the “pure” spectral signatures prototypes, known as endmembers for the SAM approach but also identifying the pieces of drives for the classification MVS in terms of the cartography of the dominant vegetable species of this area. For so doing, we have used images acquired by the sensor thermal (Advanced ASTER spaceborne emission and reflection radiometer. The results obtained show that the use of the methods of SAM and MVS led to similar results in terms of distribution of the species charted, but with differences in the plan of the surfaces affected by these species. The comparison between the results obtained using MVS and those of classification by maximum of probability indicates that SAM allows to classify the dominant vegetable cover with a better precision than MVS.

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Author information

Authors and Affiliations

  1. Laboratoire de Géoressources, CERTE, Technopole de BorjCedria, Tunis, Tunisia

    Sonia Gannouni

  2. LR14ES03 Geotechnical Engineering and Georisk Laboratory, National School of Engineering of Tunis, University of Tunis El Manar, BP. 37, le Belvédère 1002, Tunis, Tunisia

    Noamen Rebai

Authors
  1. Sonia Gannouni
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  2. Noamen Rebai
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Correspondence to Sonia Gannouni .

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Editors and Affiliations

  1. National Engineering School of Tunis, Tunis, Tunisia

    Noamen Rebai

  2. Geopac Research Center, Scientific Institute, Mohammed V University of Rabat, Rabat, Morocco

    Mohamed Mastere

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Gannouni, S., Rebai, N. (2020). Comparative Analysis of the Classification of Maximum Reality (MVS) and the Spectral Angle Mapper (SAM) of an Aster Image. Case Study: Soil Occupancy in the Main Area (Tunisia). In: Rebai, N., Mastere, M. (eds) Mapping and Spatial Analysis of Socio-economic and Environmental Indicators for Sustainable Development. Advances in Science, Technology & Innovation. Springer, Cham. https://doi.org/10.1007/978-3-030-21166-0_5

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