Abstract:
Because of the complicated shorelines, inaccessibility and vast spread of some
lakes, information on changing shorelines is difficult to acquire. A new water
index (WI) has been applied to quantify changes in five saline and non-saline Rift
Valley lakes in Kenya using Landsat Thematic Mapper (TM) and Enhanced
Thematic Mapper (ETM + ) data. The WI is based on a logical combination of
the Tasseled Cap Wetness (TCW) index and the Normalized Difference Water
Index (NDWI). Using regression analysis with estimated shoreline coordinates,
the WI detected the shorelines with an accuracy of 98.4%, which was 22.3%
higher than the TCW, and 43.2% more accurate than the NDWI. Change
detection was derived using image differencing followed by density slicing and
unsupervised classification. The saline lakes (Bogoria, Nakuru and Elementaita)
changed more with respect to the ratio of the change in the original surface areas
than the non-saline lakes (Baringo and Naivasha)
