Browsing by Author "Adewole, Adedayo Oreoluwa"

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    A multi-sensor-based evaluation of the morphometric characteristics of Opa river basin in Southwest Nigeria
    (trading as Taylor & Francis Group, 2019-11) Adewole, Adedayo Oreoluwa; Felix, Ike; Eludoyin, Adebayo O
    Studies have shown that many river basins in the sub-Saharan Africa are largely unmonitored, partly because they are poorly or totally ungauged. In this study, remote sensing products (Landsat, Advanced Spaceborne Thermal Emission and Reflection Radiometer; ASTER and Shuttle Radar Topography Mission; SRTM) that are freely availableintheregionwereharnessedforthemonitoringofOpariver basin in southwestern Nigeria. The remote sensing products were complementarily used with topographical sheets (1:50,000), ground based observation and global positioning systems to determine selected morphometric characteristics as well as changes in landuse/ landcoveranditsimpactonpeakrunoff intheOpariverbasin.Results showed that the basin is a 5th order basin whose land area has been subjected to different natural and anthropogenic influences within the study period. Urbanisation is a major factor that threatens the basin with degradation and observed changes, and the threats are expectedtobecomeworseifrestorationisnotconsideredfromsome tributaries. The study concluded that commentary use of available remotesensingproductsintheregionwillprovideanimportantlevel of decision support information for management and monitoring of river basins.
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    A remote sensing-based evaluation of an ungauged drainage basin in Southwestern Nigeria
    (Taylor & Francis, 2019-07) Adewole, Adedayo Oreoluwa; Eludoyin, Adebayo O
    Paucity of scientific information about many river basins in developing countries, especially in subSaharan Africa, has been linked to poor datasets and expensive monitoring technology. This study assessed the capability of freely available Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER), Shuttle Radar Topography Mission (SRTM) Digital Elevation Models (DEMs) and Landsat imageries to provide management decision support on river basins in the region. Main objectives are to examine landuse/landcover change over the Opa river basin in Ife area in southwest Nigeria, characterize the basin morphometrically and compare the morphometric characteristics from different sensors and resolutions. Results showed that the ecosystem of the river basin is vulnerable to urban intrusion and disturbance from human activities as urban population increases. Also, analysis of the DEMs allowed the drainage basin to be delineated into relatively homogenous and manageable sizes that can ease management, organization and evaluation of their eco-hydrological systems. The study concluded that complementary use of SRTM and ASTER DEMs with Landsat imageries that are freely available spatial data for researchers, is capable of providing useful decision support system for management of river basins in the region, to a level of uncertainty occasioned by sensors’ characteristics.