Applying Satellite Remote Sensing and GIS Tools in the Study of Gully Erosion

Amanbagara, Gordon; Njoku, John Didacus; Obenade, Moses

doi:10.9734/jsrr/2015/12753

Cited by 4 publications

(4 citation statements)

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“…By plotting the true-positive rate (sensitivity) on the y-axis against the false-positive rate (1 -specificity) on the x-axis, ROC curves are formed. For the validation of the erosion susceptibility result, the locations of prevalent erosional occurrences (shown in Table 2) were obtained from the literature and records of recent events from online sources (Amangabara et al 2015, Amangabara et al 2018, Channels Television 2018. With this technique, the ROC curve tool embedded in the SPSS software environment was deployed and the ROC curve plot was produced where the AUC was determined.…”

Section: Validation Of the Erosion Susceptibilitymentioning

confidence: 99%

Soil Erosion Susceptibility Mapping of Imo River Basin Using Modified Geomorphometric Prioritisation Method

Nwilo

Ogbeta

Daramola

et al. 2021

Quaestiones Geographicae

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Gullies and other forms of erosion have been the greatest environmental problem and catastrophe in most high- and low-income countries. The challenge posed by soil erosion has compromised agricultural productivity, environmental biodiversity and food safety for the world's population. It is important to identify vulnerable areas to soil erosion in each region to initiate remedial measures. This study demonstrates the use of watershed morphometry coupled with weighted sum analysis (WSA) to estimate the soil erosion susceptibility of the Imo River Basin sub-watersheds (SWs) in South-Eastern Nigeria using satellite remote-sensing data and geographic information system (GIS) analysis. To this end, Shuttle Radar Topography Mission (SRTM), a Digital Elevation Model (DEM) with 30 m spatial resolution was used to extract and analyse 18 morphometric parameters including basic, linear, shape and relief. The method of receiver operating characteristics (ROC) curves was used to validate the model's prediction accuracy. This morphometry-based analysis resulted in the SWs being classified into zones of low, medium, high and very high erosion susceptibility. With regard to erosion susceptibility, 41.51% of the basin (2494.68 km2) is in the very high priority zone; while 10.50%, 44.33% and 3.66% of the basin are in the high, medium and low priority zones respectively. Validation of the final erosion susceptibility map showed a prediction accuracy of 81%. The use of satellite imagery and morphometric analysis in this study was cost- and time-effective for identifying areas susceptible to soil erosion.

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Section: Validation Of the Erosion Susceptibilitymentioning

confidence: 99%

Soil Erosion Susceptibility Mapping of Imo River Basin Using Modified Geomorphometric Prioritisation Method

Nwilo

Ogbeta

Daramola

et al. 2021

Quaestiones Geographicae

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“…In ref [8,9], one of the major challenges in river restoration is to identify the natural fluvial landscape in catchments with a long history of river control. Around the Pas River catchment in northern Spain, land use and development have obscured the natural fluvial landscape in many parts of the basin.…”

Section: Original Research Articlementioning

confidence: 99%

Using Google Earth Images in Studying the Rasheed and Domiat Branches

Hassanein

2015

AIR

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Google Earth images were widely used to remotely collect qualitative as well as quantitative data about rivers. The use of this free source of data to explore the Nile River was discussed in this paper. The route of the two branches namely Rasheed and Domiat were defined on Google earth. The Latitude and Longitude of selected points on the route were downloaded and plotted. The Haversine formula and the law of Cosines were used to calculate the length of each branch. The error in the calculations was evaluated. The height of each branch was plotted and discussed. Studying images of the Nile river could be used in measuring observations which helps to acquire quantitative as well as qualitative data about the water in the river with minimum costs.

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“…Existence of speci c geological and geomorphic units as well as weak zones are a few of these endogenic causes. In order to establish a potential connection between the initiation and propagation of gully erosion and some geological characteristics of the various formations in the study area, some studies have attempted to characterize soils in gully erosion-prone areas in southeastern Nigeria using geophysical data and other non-evasive techniques (Ananaba 1991 Attempts have been made to use geographic information system (GIS) and satellite imagery to map gully erosion zones and their associated land use types (Igbokwe et al 2008;Okereke et al 2012;Amangabara et al 2015;Udoka et al 2015Udoka et al , 2016. However, there is a dearth of studies on the detailed geological, petrophysical and geotechnical characterization of soils within and around the study area to evaluate their susceptibility to soil erosion.…”

Section: Introductionmentioning

confidence: 99%

Geological and Petrophysical Studies of Some Soil Erosion-Prone Zones within Okigwe and Umuahia Areas, Southeastern Nigeria

Isreal

Opara

Ikoro

et al. 2022

Preprint

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Geological and petrophysical studies of some erosion prone soils around Okigwe and Umuahia area, southeastern Nigeria was carried out to determine the erodability and erosivity characteristics of the study area. Soil samples were collected with a soil auger at a depth range of 0-2m. Analyses carried out include the determination of petrophysical properties (porosity, permeability), and sieve analysis. Grain size analysis revealed sorting coefficients of 0.36–1.32, and graphical kurtosis of 0.51–1.49. The soils are predominantly well to moderately sorted, strongly coarsed skewed and leptokurtic. The sand/sandstone is 87–100% sand with little or no fines with the percentage moisture content ranging from 3.8–26.7%. Estimated permeability values ranges between 0.12-0.46cm/s while the porosity values are between 32.2–37.8%. Result of this study thus revealed that the area is characterized by an interlaying of clay/shale and sandstone units. The accumulation of water at the contact of the shale/sandstones units decreases the shear strength of the sandstone which further reduces the stability and results in the slipping off of the sandstone unit. The slipped sandstone is later carried away by runoff thereby leading to gully development.

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Applying Satellite Remote Sensing and GIS Tools in the Study of Gully Erosion

Cited by 4 publications

References 0 publications

Soil Erosion Susceptibility Mapping of Imo River Basin Using Modified Geomorphometric Prioritisation Method

Soil Erosion Susceptibility Mapping of Imo River Basin Using Modified Geomorphometric Prioritisation Method

Using Google Earth Images in Studying the Rasheed and Domiat Branches

Geological and Petrophysical Studies of Some Soil Erosion-Prone Zones within Okigwe and Umuahia Areas, Southeastern Nigeria

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