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Obando, J., Onywere, S., Shisanya, C., Ndubi, A., Masiga, D., Irura, Z., Mariita, N. and Maragia, H. (2016) Impact of Short-Term Flooding on Livelihoods in the Kenya Rift Valley Lakes. In: Meadows, M. and Lin, J.C., eds., Geomorphology and Society. Advances in Geographical and Environmental Sciences, Springer, Tokyo, 193-215.
https://doi.org/10.1007/978-4-431-56000-5_12

has been cited by the following article:

• TITLE: Assessment of Spatial Expansion of Rift Valley Lakes Using Satellite Data

  AUTHORS: Rose Yang Mulama, Jephter Ongige Ondieki

  KEYWORDS: Remote Sensing, Landsat, Soil Erosion, Supervised Classification

  JOURNAL NAME: Advances in Remote Sensing, Vol.12 No.3, September 27, 2023

  ABSTRACT: The present work assessed the expansion and fluctuation of Lake Nakuru in Kenya by using satellite data and information. Surface water magnitude was measured from optical sensors, such as Landsat. ENVI software was used to process and analyze data from the satellite images. The data was then used to create shapefile to get the area of the lake only. The shapefiles were classified using both Supervised and Unsupervised classification, and the area of the lake was obtained in hectares. The obtained area in hectares was recorded in a table and graphs were plotted to show the trend of the lake in the years 1972-2019. Furthermore, correlation was done by assuming the area of the shapefile before any classification is more accurate, therefore it was compared with the other results obtained by using different methods. Maximum likelihood gave the best correlation values. For R2 it gave 0.8627 and R was 0.9312.