Browsing by Author "Ahmadu, H.A"

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    DESIGN AND IMPLEMENTATION OF SUSTAINABLE BUILT ENVIRONMENT: THE ROLE OF SURVEYING AND GEOINFORMATICS TOWARDS EFFECTIVE COLLABORATION WITH OTHER PROFESSIONALS
    (Faculty of Environmental Sciences, University of Ilorin Kwara State Nigeria, 2019-05) Ahmadu, H.A; Babalola, A; Issa, B.S
    Built environment sustainability has become an issue of national concern, owing to the constant threat posed by its negative impacts on the survival of man. This has made it necessary for a study on how there can be collaboration for sustainable development in the built environment, in order to reduce or completely eliminate its negative impacts (such as climate change, environmental degradation, desert encroachment, etc.). This paper proposes the identification of the role of professionals in the design and implementation of built environment, as a means of enhancing effective collaboration for sustainable development in the built environment. The roles of Surveying and Geo-informatics in design and implementation stage of the built environment were investigated through a review of literature, after which a research questionnaire was issued to professionals in the built environment to seek their assessment on how each role could serve as a collaborative support towards achieving sustainable development in the built environment. Descriptive statistics (mean score) was used to analyze and gain an overview of the data obtained. The results showed that all the roles of Surveying and Geo-informatics at the design and implementation stage of built environment would support and enhance effective collaboration for sustainable development in the built environment.
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    Urban Land Use Land Cover Mapping in Tropical Savannah using Landsat-8 derived Normalized Difference Vegetation Index (NDVI) Threshold
    (South African Journal of Geomatics, Published by CONSAS Conference, South Africa., 2022) Idrees, M.O; Omar, D.M; Babalola, A.; Ahmadu, H.A; Yusuf, A.; Lawal, F.O
    Generation of land use/land cover map at different spatial scales using satellite remote sensing data has been in practice as far back as early 1970s. Since then, research focus has been on the development of classification steps and improving the quality of the resulting maps. In recent times, the demand for detailed high accuracy land-use and land-cover (LULC) data has been on the increase due to the growing complexity of earth processes, while, at the same time, processing step is becoming more complex. This paper explores Landsat 8 derived normalized difference vegetation index (NDVI) threshold for the purpose of simplifying land cover classification process. NDVI images of January, May and December, 2018, representing dry, wet and harmattan seasons were generated. Thereafter, NDVI values corresponding to the location of a set of training data representing the target urban land covers (water, built-up area, soil, grassland and shrub) were extracted. Using the statistics of the extracted values, NDVI threshold for the respective land cover type were determined for the classification process. Finally, the classification accuracy was evaluated using the unbiased matrix coefficient technique which produced overall accuracy of 71.3%, 46.4% and 75.6% at 95% confidence limit for the months of January, May and December of the year review respectively. The result has shown that NDVI threshold is a simple and practical alternative to obtain LULC map at a reasonable time with a few data.