VEGETATION STRESS LEVEL AND NATURAL HYDROCARBON SEEPAGE IN UGWUEME, AWGU LOCAL GOVERNMENT AREA, ENUGU STATE, NIGERIA

Authors

  • Francis I. Okeke Department of Geoinformatics and Surveying Enugu Campus, University of Nigeria, Nsukka Mobile: +234-706-150-3617,
  • A. Enoh Mfoniso Department of Geoinformatics and Surveying Enugu Campus, University of Nigeria, Nsukka Mobile: +234-706-150-3617,

Abstract

Hydrocarbons that seep from the earth’s sub-surface often affect the environment, soil, rocks and stress growing vegetation. In this study, natural hydrocarbon seepage was mapped in Ugwueme, Awgu Local Government Area of Enugu State, Nigeria using Remote Sensing and GIS
techniques with the aim of detecting vegetation stress changes over a period of time. It was conducted using Landsat 7 ETM+ 1996, Landsat 7 ETM+ 2006 and Landsat 8 OLI/TIRS 2016.
The global positioning system and the topographical maps of scale 1:100,000 were utilized for ground verification. Results revealed that the category of severely stressed vegetation rose
progressively from 40.25% in 1996 to 54.73% in 2006 and then to 60.82% in 2016, while the category of less stressed vegetation reduced from 59.75% in 1996 to 45.27% in 2006 and then to
39.18% in 2016. There is an overall increase in the vegetation class cover classified as severely stressed, proving that remote sensing and GIS is a valuable tool for mapping hydrocarbon
seepage areas. Thus, afforestation, re-afforestation and good land practices are recommended as preventive and remedial measures in the study area.

References

Blackburn, G. A. and Steele, C. M. (1999).

Mapping the effect of natural oil and gas on

plants using remote sensing. International

Journal of Remote Sensing, 33(1):13-17.

Lichtenthaler, H.K. (1996). Vegetation Stress:

An introduction to stress concept in plants.

Journal of Plant Physiology, 158:17-23.

Miller, L.R. and Carter, A.G. (1994). Early

detection of vegetation stress by digital

imaging within narrow stress-sensitive

wavebands. Remote sensing of

Environment, 131:31-37.

Noomen, M.F., Skidmore, A.K. and Meer, F.D.

(2007). Detecting the Influence of Gas

Seepage of vegetation using Hyper-Spectral

Remote Sensing ITC. Enschede: the

Netherlands (ITC).

Oyundari, B. (2008). Spectral indicators for

assessing the effect of hydrocarbon leakage

on vegetation: International Institute for

Geo-information Science and Earth

Observation. Enschede: the Netherlands

(ITC).

Perry, J.E. and Anderson, E.J. (1991). The

characteristics of wetland plant stress using

leaf spectral reflectance: Implications for

wetland remote sensing. Enschede: the

Netherlands (ITC).

Petrovic, A. and Khan, S. (2008). The Remote

Sensing detection and geochemical studies

for locating hydrocarbon-induced

alterations in Lisbon Valley. Enschede: the

Netherlands (ITC).

Pietro et al (2001). Detecting vegetation leaf

water content using reflectance in the

optical domain: Remote sensing of

Environment. Enschede: the Netherlands

(ITC).

Pysek, P. and Pysek, A. (1989). Changes in

vegetation caused by experimental leakage

of natural gas: Remote sensing of

Environment. Enschede: the Netherlands

(ITC).

Sani Yahaya (2013): Determination and

monitoring of vegetation stress using hyperspectral

remote sensing. Unpublished Ph.D

thesis, University of Nottingham.

Schumacher, D. (1996). Surface Geochemical

Exploration for Petroleum: Principle of

Surface Geochemical Exploration.

Enschede: the Netherlands (ITC).

Smith, K. L., Steven, M. D. and Colls, J. J.

(2000). Remote Sensing of vegetation stress

owed to leaking underground pipeline:

Aspects of Applied Science. Enschede: the

Netherlands (ITC).

Smith, K. L., Steven, M. D. and Colls, J. J.

(2004). Remote Sensing techniques for

monitoring plant stress responses to leaking

gas. International Gas Research

Conference proceedings, 22-26.

Smith, K.L. (2002). Remote Sensing of the leaf

responses to leaking underground oil and

gas. Unpublished Ph.D. Thesis, University

of Nottingham, UK.

Smith, K.L., Steven, M.D. and Colls, J.J. (2005).

Plant spectral responses to oil and gas

leakage and other stresses. International

Journal of Remote Sensing, 42-48.

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Published

2016-12-30

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