DISTINGUISHING LAND USE TYPES USING SURFACE ALBEDO AND NORMALIZED DIFFERENCE VEGETATION INDEX DERIVED FROM THE SEBAL MODEL FOR THE ATANKWIDI AND AFRAM SUBCATCHMENTS IN GHANA
Loading...
Date
2012-01
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
ARPN Journal of Engineering and Applied Sciences
Abstract
Distinguishing land use types is mostly done through field surveys which does not easily capture the spatial
changes in the land use/cover types. In this study, the Surface Energy Balance Algorithm for Land (SEBAL) model was
used to estimate surface albedo and NDVI, for different land use/cover types for two sub-catchments (i.e., Atankwidi and
Afram) in the Volta Basin of Ghana. The mean coefficient of variation (CV) for individual land use/cover types compared
to the mean CV for a given site was then used to distinguish among the land use/cover types. It was found that these
parameters derived from the SEBAL model can be used to distinguish among different land use/cover types in the two subcatchments.
SEBAL estimates for surface albedo and NDVI across the different land use/cover types varied from 0.05 to
0.22 and -0.41 to 0.38, respectively. The range of CVs for surface albedo and NDVI, were 5-22% and 7-175%,
respectively across the different land use/cover types for the two catchments. The results of this study demonstrate that
SEBAL’s derived surface albedo and NDVI can be used to distinguish land use/cover types in catchments similar to those
of the study areas with few ground measurements.
Description
This article is published in ARPN Journal of Engineering and Applied Sciences
Keywords
land use, surface albedo, NDVI, SEBAL, landsat, Ghana
Citation
ARPN Journal of Engineering and Applied Sciences, VOL. 7, NO. 1