Vol. 10 No. 1 (2023): In Progress
Articles

Detection of potentially gas flaring related pollution on vegetation cover and its health using remotely sensed data in the Niger delta, Nigeria

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  • Barnabas O Morakinyo,
  • Samantha Lavender,
  • Victor Abbott
Barnabas O Morakinyo
Department of Surveying & Geoinformatics, Faculty of Environmental Sciences, BAZE University, Abuja, Nigeria, and School of Marine Science & Engineering, Faculty of Science & Technology, University of Plymouth, Pixalytics Ltd, ARGANS Ltd, Plymouth, UK.
Samantha Lavender
School of Marine Science & Engineering, Faculty of Science & Technology, University of Plymouth, and Pixalytics Ltd, Plymouth, UK.
Victor Abbott
School of Marine Science & Engineering, Faculty of Science & Technology, University of Plymouth, Plymouth, UK.
DOI: https://doi.org/10.20448/arees.v10i1.4407

Published 2023-01-13

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Keywords

  • Detection, Landsat 7, Landsat 8, Niger delta, Pollution, Remotely sensed data, Vegetation cover.

How to Cite

Morakinyo, B. O., Lavender, S. ., & Abbott, V. . (2023). Detection of potentially gas flaring related pollution on vegetation cover and its health using remotely sensed data in the Niger delta, Nigeria. Asian Review of Environmental and Earth Sciences, 10(1), 1–13. https://doi.org/10.20448/arees.v10i1.4407

Abstract

Detection of potentially gas flaring-related pollution on vegetation cover using remotely sensed data at 11 flaring sites in Rivers State, Nigeria is the emphasis of this research. 21 Landsat 7 Enhanced Thematic Mapper Plus (ETM ), and 4 Landsat 8 Operational Land Imager and Thermal Infrared Sensor (OLI-TIRS) data dated from 21/04/2000 to 05/02/2022 with  3  cloud cover were used. Normalized Differential Vegetation Index (NDVI) was retrieved from corrected Landsat 7 bands (1-4), and Landsat 8 bands (2-5). Corrected thermal band was used for the computation of Land Surface Temperature (LST). Change in NDVI (δNDVI450-60)m and LST ( δLST60-450m) were computed. NDVI values at 60 m from the stack show that as the year increases, NDVI values around the stack reduces to almost zero. Linear regression analysis was considered for (δ NDVI450-60)mN against ( δNDVI450-60)mE, (δNDVI450-60)mN against (δNDVI450-60)mS, and (δNDVI450-60)mN against (δNDVI450-60)mW. Only (δNDVI450-60)mN against (δNDVI450-60)mW give statistically significant results at 99 % confidence level (p-value  0.0016). (δNDVI450-60)mN,E,S,W against (δLST60-450)mN,E,S,W were considered and results show positive correlation but statistically insignificant. Based on the results of this research, it can be concluded that flaring-related pollution can be detected on vegetation cover using Landsat 7 and Landsat 8 data in the Niger Delta.

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