Topographic Mapping from Remote Sensing Data a Case Study of Edo State Nigeria

Research areas:

Volume 8,Issue 2,Mar. 2021

Year:

2021

Type of Publication:

Article

Keywords:

Topography, Remote Sensing, GIS, Imageries, DEM

Authors:

Ahuchaogu Udo. E.; Ojinnaka Oliver. C.; Duru Uchenna U.

Journal:

IJRIES

Volume:

Number:

Pages:

21-29

Month:

March

ISSN:

2394-1375

BibTex:

@article{216,
author = "Ahuchaogu Udo. E. and Ojinnaka Oliver. C. and Duru Uchenna U.",
abstract = "In this study, attempt has been made to map topographical features of Edo state from remote sensing data. The aim of the study is to assess the effectiveness of Remote Sensing and Geographic information systems (GIS) in topographical analysis in Edo state. Slope map, Aspect map, digital terrain model, 3-D models, contour map, drainage map, Sub-catchment map, Land use/Land cover map and population density map were generated by applying series of processing techniques in GIS environment. Data used include Shuttle Radar Topographic Mission (SRTM DEM) of  one arc second resolution, Lansat Imagery of 30m resolution, administrative map of the study area and 2006 break down of population data of the study area. Software used are ArcGIS10.3, Supher11 Edars Imagine and Microsoft excel. Result revealed that the study area is highly undulating and situateds in a relief region of between 20m to 520m above mean sea level. Land Use Land Cover (LULC) Map of Edo state is dominated by agricultural land which covers 59.11% of the land surface while built up, forest and water bodies  areas cover 14.02%, 26% and 0.87% of the land surface. It also revealed that there are 79 sub-catchment within the study area with the smallest and largest sub-basins occupying area of 1km2 and 4626km2 respectively. Further analysis revealed that the study area has drainage density of 0.105km-1   with a total length of 2066.569kms of rivers covering it. These digital derivatives are essential for good understanding of the regions topographical settings for further planning and policy making. They further attests that remote sensing data is very effective for topographic analysis. ",
issn = "23941375",
journal = "IJRIES",
keywords = "Topography, Remote Sensing, GIS, Imageries, DEM",
month = "March",
number = "2",
pages = "21-29",
title = "{T}opographic {M}apping from {R}emote {S}ensing {D}ata a {C}ase {S}tudy of {E}do {S}tate {N}igeria",
volume = "8",
year = "2021",
}

Abstract:

In this study, attempt has been made to map topographical features of Edo state from remote sensing data. The aim of the study is to assess the effectiveness of Remote Sensing and Geographic information systems (GIS) in topographical analysis in Edo state. Slope map, Aspect map, digital terrain model, 3-D models, contour map, drainage map, Sub-catchment map, Land use/Land cover map and population density map were generated by applying series of processing techniques in GIS environment. Data used include Shuttle Radar Topographic Mission (SRTM DEM) of one arc second resolution, Lansat Imagery of 30m resolution, administrative map of the study area and 2006 break down of population data of the study area. Software used are ArcGIS10.3, Supher11 Edars Imagine and Microsoft excel. Result revealed that the study area is highly undulating and situateds in a relief region of between 20m to 520m above mean sea level. Land Use Land Cover (LULC) Map of Edo state is dominated by agricultural land which covers 59.11% of the land surface while built up, forest and water bodies areas cover 14.02%, 26% and 0.87% of the land surface. It also revealed that there are 79 sub-catchment within the study area with the smallest and largest sub-basins occupying area of 1km2 and 4626km2 respectively. Further analysis revealed that the study area has drainage density of 0.105km-1 with a total length of 2066.569kms of rivers covering it. These digital derivatives are essential for good understanding of the regions topographical settings for further planning and policy making. They further attests that remote sensing data is very effective for topographic analysis.

Full text:

IJRIES_216_FINAL.pdf Online version

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