Oppong, B. (2011) Environmental Hazards in Ghanaian Cities: The Incidence of Annual Floods along the Aboabo River in the Kumasi Metropolitan Area (KMA) of the Ashanti Region of Ghana. Doctoral Dissertation, Department of Geography and Rural Development, Kwame Nkrumah University of Science and Technology, Ghana.
http://ir.knust.edu.gh/xmlui/handle/123456789/2080

has been cited by the following article:

• TITLE: Estimation of Land Surface Temperature from Landsat-8 OLI Thermal Infrared Satellite Data. A Comparative Analysis of Two Cities in Ghana

  AUTHORS: Yaw A. Twumasi, Edmund C. Merem, John B. Namwamba, Olipa S. Mwakimi, Tomas Ayala-Silva, Diana B. Frimpong, Zhu H. Ning, Abena B. Asare-Ansah, Jacob B. Annan, Judith Oppong, Priscilla M. Loh, Faustina Owusu, Valentine Jeruto, Brilliant M. Petja, Ronald Okwemba, Joyce McClendon-Peralta, Caroline O. Akinrinwoye, Hermeshia J. Mosby

  KEYWORDS: Remote Sensing, Land Surface Temperature (LST), Atmospheric Spectral Radiance, Normalized Difference Vegetation Index (NDVI), Land Surface Emissivity (LSE), Landsat 8 Satellite, Ghana

  JOURNAL NAME: Advances in Remote Sensing, Vol.10 No.4, October 15, 2021

  ABSTRACT: This study employs Landsat-8 Operational Land Imager (OLI) thermal infrared satellite data to compare land surface temperature of two cities in Ghana: Accra and Kumasi. These cities have human populations above 2 million and the corresponding anthropogenic impact on their environments significantly. Images were acquired with minimum cloud cover (ere used. The shapefiles of Accra and Kumasi were used to extract from the full scenes to subset the study area. Thermal band data numbers were converted to Top of Atmospheric Spectral Radiance using radiance rescaling factors. To determine the density of green on a patch of land, normalized difference vegetation index (NDVI) was calculated by using red and near-infrared bands i.e. Band 4 and Band 5. Land surface emissivity (LSE) was also calculated to determine the efficiency of transmitting thermal energy across the surface into the atmosphere. Results of the study show variation of temperatures between different locations in two urban areas. The study found Accra to have experienced higher and lower dry season and wet season temperatures, respectively. The temperature ranges corresponding to the dry and wet seasons were found to be 21.0985oC to 46.1314oC, and, 18.3437oC to 30.9693oC respectively. Results of Kumasi also show a higher range of temperatures from 32.6986oC to 19.1077oC during the dry season. In the wet season, temperatures ranged from 26.4142oC to -0.898728oC. Among the reasons for the cities of Accra and Kumasi recorded higher than corresponding rural areas’ values can be attributed to the urban heat islands’ phenomenon.