Paper
16 October 2013 Monitoring gully erosion at Nyaba river of Enugu state southeastern Nigeria, using remote sensing
V. U. Okwu-Delunzu, I. C. Enete, A. S. Abubakar, S. Lamidi
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Abstract
Erosion is a natural, gradual and continuous process of earth surface displacement caused by various agents of denudation. It is also caused by some anthropogenic activities. Erosion rate of an area at any point in time is dependent mainly on climate and geological factors. Physical aspects of the erosive force experienced in gullies are mainly dependent on the local prevailing climate condition. In this study, remotely sensed data was used in the analysis of gully erosion progression at Nyaba River in Enugu Urban, aimed at mapping and monitoring gully erosion at the study site. Methodologies employed include; data acquisition from field observation and satellite images; data processing and analyses using ilwis 3.7 and Arc GIS 9.3 software. The result showed that gully progressed from 578,713,735 square meters in 1986 to 1, 002,819,723 in 2011. Prediction showed that the magnitude of the gully area is expected to increase as the years go by if measures are not taken to control the expansion rate. The forecast put the expected coverage of gully erosion at Nyaba River to be 45,210,440 square meters by the year 2040. Consequently, recommendations made include: constant monitoring to detect early stages of gully formation; regulation of grazing of pasture in the area; restriction of sand mining from the river bank and construction of water ways to stabilize river flow. In conclusion, monitoring clearly showed that there was a geometric progression in gully formation at Nyaba over years; the expansion was aided more by anthropogenic activities than natural factors.
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V. U. Okwu-Delunzu, I. C. Enete, A. S. Abubakar, and S. Lamidi "Monitoring gully erosion at Nyaba river of Enugu state southeastern Nigeria, using remote sensing", Proc. SPIE 8887, Remote Sensing for Agriculture, Ecosystems, and Hydrology XV, 888724 (16 October 2013); https://doi.org/10.1117/12.2035967
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KEYWORDS
Earth observing sensors

Remote sensing

Geographic information systems

Image classification

Satellite imaging

Satellites

Data acquisition

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