This final seminar paper presents remote sensing of Nairobi city expansion between 1976 and 2016, using Landsat multispectral imagery analyses. One of the biggest advantages of remote sensing is that allows us both, a temporal and spatial overview of the data for the selected study area. In additional, remote sensing allows us to obtain information (such as the NDBI index, UI index, …), that cannot be retrieved by using classical collection methods and classical surface observation techniques by properly processing these recordings. In this seminar paper, maps with two different categories of land use were constructed using indices to identify built-up surfaces. The first category represents built-up land and the second category represents other land. Comparison of these categories with the actual state of land use by selected years has shown the accuracy of selected indices. The final result of this seminar paper is Figure 12 and Table 17, which clearly shown the expansion of Nairobi during the selected time period.
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