Mapping of Built up Areas in the Cameroonians Shores of Lake Chad and its Hinterland through based Object Classification of Sentinel 2 Data

Paul Gérard Gbetkom, Sébastien Gadal, Ahmed El Aboudi, Alfred Homère Ngandam Mfondoum and Mamane Barkawi Mansour Badamassi

The objective of the paper is to carry out the spatial distribution of the built-up areas in the Cameroonian shores of the Lake Chad and its hinterland through orientated-object classification. The methods used combines spectral and statistical processing’s. For the Principal Component Analysis (PCA) performed, the first component contains 87% of information. The built up areas indices have also computed, like Urban Index (UI) and Normalized Difference Built-up Index (NDBI) based on sentinel 2 satellite images of April 2017. The components 3 and 6 of PCA and the built up indices are stacked with originals spectral bands to generate a new composite image. This new image is then segmented and classified by Support Vector Machines (SVMs) algorithm, submitted to a threshold analysis. The result is a classified image on which the identification of built-up areas from the others spatial objects is possible and the spatial distribution of built-up areas is countable.

Volume 11 | 11-Special Issue

Pages: 1034-1040

DOI: 10.5373/JARDCS/V11SP11/20193133