Abstract
The aim of this study is to apply an object-based approach using multi-time series of high (Spot-5 images) and medium (ETM of Landsat, OLI TIRS of Landast and MSS of Landsat images) spatial resolution to characterize Land Cover of a heterogeneous territory, called Loukkos river basin which is a part of the western area of the Rifean belt. The images segmentation tests regarding several combinations between color levels (0.1–0.9) and scales (0–255) have confirmed a strong relationship among the spectral values of images radiance, with respect to the number of objects. Indeed, the authors have concluded that this relationship, is more strongly related to the values of the Standard Deviation of the images. The “Map difference” used to assess the accuracy of mapping is made less complicated and more accurate to the classical probabilistic methods. Furthermore, the overall accuracy of the Object-Oriented Classification was 80.20%. The study has shown that farmlands have been undergone more changes than urban classes, followed by wetlands and grasslands those have been converted to agricultural lands and lastly the transformation of forests to farmland and natural vegetation.
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Mastere, M., Achbun, A., El Fellah, S., El Fellah, B. (2020). Multi-source Object-Based Approach for Spatio-Temporal Evolution of Land Cover. 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_4
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