Inakwu O. A. Odeh

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Classifying remote sensing imageries to obtain reliable and accurate land use and land cover (LULC) information still remains a challenge that depends on many factors such as complexity of landscape, the remote sensing data selected, image processing and classification methods, etc. The aim of this paper is to extract reliable LULC information from Landsat(More)
It is well known that the world is rich with soil data resulting from the efforts of past soil surveys. However, the majority of these data is largely unused. These legacy soil data come in the form of soil maps, soil survey reports, soil profile descriptions, and/or in the format of antiquated " card catalogue ". These data provide many benefits including(More)
Environmental disruption from mining activity has increased markedly in the 21st century leading to increased emphasis on reconstructing natural environmental processes in post-mining landscapes. We present simulation and assessment approach to designing post-mining landforms at Ranger Uranium Mine in Northern Australia. A mine landform design was developed(More)
(2016). Combating viral mosaic disease of cassava in the Lake Zone of Tanzania by intercropping with legumes. dynamics of different valuable organic amendments commonly used in agriculture. interrelationships of soil organic carbon fractions with land use/land cover types and landform attributes in a montane ecosystem. Projecting the dynamics of terrestrial(More)
integration of Geographical Information System (GIS) and Remote Sensing (RS) methods is one of the most important methods for detecting LULC's change. In this study, with the support of GIS, RS technology and based on recent 10 years LULC data, the landscape pattern dynamics and regional spatio-temporal features related with the LULC change of three(More)
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