Research Article Open Access

Land-Cover Removal and Gully Development in Southeast Nigeria: A 30-Year Analysis with Pixel and OBIA Approaches in Juxtaposition

Sylvanus Iro1
  • 1 Imo State University, Nigeria

Abstract

In this study a study of gully erosion in southeast Nigeria is presented. The study of gully development on a regional scale is currently undermined by the inherent costs associated with consistent field monitoring and the lack of historic measurements to perform time series analysis. As a result, there are very few studies which implement long term analyses of gullies in the region as a collective. Consequently, the building of knowledge of the role of environmental changes on the development of gullies is inhibited. Remote sensing methodologies, via the Landsat archive, are used as low economic data source that assisted in the analyses of gullies over the time period 1986 to 2015. The Landsat data is used to establish land cover changes over the time period, via pixel and object-based classification, to identify its role in gully development. The use of classification for this purpose identifies this study as a first of its kind in Nigeria. Aiming to link environmental characteristics and land cover changes with gully development and erosion rates at multiple current locations. In terms of the correlation between vegetation area and gully/openland development, Pixel based classification produced a correlation of r = -0.9 (p<0.05). A similar strength of correlation was exhibited for OBIA with r = -0.9 (p<0.05) with both results indicating a very strong and significant negative correlation between the amount of vegetated area and Gully/open-land development over the study period 1986-2015.

American Journal of Environmental Sciences
Volume 16 No. 2, 2020, 34-47

DOI: https://doi.org/10.3844/ajessp.2020.34.47

Submitted On: 3 March 2020 Published On: 9 June 2020

How to Cite: Iro, S. (2020). Land-Cover Removal and Gully Development in Southeast Nigeria: A 30-Year Analysis with Pixel and OBIA Approaches in Juxtaposition. American Journal of Environmental Sciences, 16(2), 34-47. https://doi.org/10.3844/ajessp.2020.34.47

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Keywords

  • Land-Cover
  • Gully Erosion
  • Pixel and OBIA Classification