Spatio-temporal analysis of vegetation and oil spill intensity in Ogoniland

Dutsenwai, Hafsat Saleh; Ahmad, Baharin Bin; Tanko, Adamu Idris; Mijinyawa, Abubakar

doi:10.21833/ijaas.2017.04.013

Cited by 5 publications

(5 citation statements)

References 39 publications

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“…Satellite-derived vegetation indices (VIs) are generally employed and adapted in ecological based research, ecosystem modeling, and land surface monitoring [52,53,54,55,56,57,58]. Vegetation indices (VIs), are defined as "the arithmetic combination of two or more bands related to the spectral characteristics of vegetation" [59,60].…”

Section: Vegetation Indices For Oil Spill Detection and Monitoringmentioning

confidence: 99%

Long-Term Monitoring of Oil Spill Impacted Vegetation in the Niger Delta Region of Nigeria: A Google Earth Engine Derived Vegetation Indices Approach

Wekpe,

Idisi

2024

JGEESI

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New and emerging cases of oil spill incidents are reported almost on a weekly basis in the Niger Delta region of Nigeria with accusations and counter-accusations as to the claims made by interested parties on perceived impacts of the spills on the environment and its associated constituents. This study applied the capabilities offered by the Google Earth Engine (GEE) platform to monitor long-term vegetation dynamics as a result of exposure to pollution emanating from crude oil spills in the Niger Delta region of Nigeria. The capabilities offered by GEE provide a platform for rapid access to big data for the assessment of environmental change, especially in the Niger Delta with its difficult terrain and security concerns. This study considered oil spill incidents in vegetated terrestrial locations in the Niger Delta across ten years. Fifteen locations spread across the region with oil spill incidents identified as large incidents being selected (>50 <5000bbl). Results of the statistical analysis performed on the vegetation indices data generated from GEE suggest that the analysis of long-term vegetation indices using GEE can provide a broad view of the impact of oil spills on vegetation over time if the spills are relatively large or the spills are repetitive. However, when the spills were relatively small, there was no statistically significant variation in the spectral signatures of the vegetation over time. This suggests that for large spills, GEE-derived vegetation indices can be a very useful synoptic tool in monitoring oil spill occurrence and impact on vegetated terrestrial environments in the Niger Delta and elsewhere where environmental accessibility is a challenge.

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Section: Vegetation Indices For Oil Spill Detection and Monitoringmentioning

confidence: 99%

Long-Term Monitoring of Oil Spill Impacted Vegetation in the Niger Delta Region of Nigeria: A Google Earth Engine Derived Vegetation Indices Approach

Wekpe,

Idisi

2024

JGEESI

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“…While, the research carried out by Balogun et al, (2020) focused on the effect of oil spills and the recovery pattern of wetlands and coastal vegetation by employing multispectral satellite imagery from Landsat and machine learning models. In addition, Dutsenwai et al, (2017) study in Ogoni Land, Rivers State, observed vegetation changes to the intensity of oil spills, by employing statistical methods and remote sensing data (Landsat imageries) for the Normalized Difference Vegetation Index (NDVI). Synthesizing the collective body of relevant studies, one observes a rich tapestry of methodologies, findings, and scholarly insights.…”

Section: Literature Reviewmentioning

confidence: 99%

Geospatial Assessment of Oil Spill’s Impact in Obio/Akpor Local Government Area Rivers State, Nigeria

Ijaware,

Mary

2024

Am. J. Geo Spat. Technol.

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Environmental degradation resulting from oil spills has emerged as a critical issue requiring immediate attention. This study uses geospatial techniques to investigate the impact of oil spills in Obio/Akpor Local Government Area of Rivers State. Landsat images, administrative map of the study area and historical oil spill data were data used in carrying out this study. The images were pre-processed through atmospheric and geometric corrections. Spatial analysis of four remote sensing indices-Normalized Difference Vegetation Index (NDVI) for assessing vegetation health, Normalized Difference Water Index (NDWI) for detecting water bodies, Land Surface Temperature (LST) for measuring surface temperature, and Normalized Difference Built-Up Index (NDBI) for identifying built-up areas-was conducted using the raster calculator in ArcGIS. The study employed the Analytical Hierarchy Process (AHP) to assign weights to these indices based their relative significance regarding oil spill impact. Subsequently, reclassification and integration of this information were done to generate Oil Spill Index (OSI) maps for 2003, 2013, and 2023. Validation of the Oil Spill Index (OSI) of various points before and after an oil spill incident was performed, specifically contrasting 2003 with 2013 and 2023 OSI values. This was to affirm the accuracy and predictive capability of the OSI maps in identifying oil spill-prone areas. Findings revealed OSI values for 2003 and 2013, indicating a range of 1.04 to 3.48 for 2003, with a noticeable increase observed in 2013, expanding the range to 3.08 to 4.72. Similarly, a comparison of OSI values between 2003 and 2023 indicates OSI values, ranging from 1.64 to 3.92 in 2003, then in 2023 after the oil spill incidents, there were notable changes in the OSI values, with the range shifting to 3.2 to 4.84. This suggests a significant increase in the impact of oil spill on the affected areas over the two-decade. This comprehensive index map serves as a tool for monitoring and assessing the effects of oil spills on the study area, thereby achieving the research objectives effectively.

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Section: Effects Of Oil Pollutionmentioning

confidence: 99%

“…The Niger Delta region of Nigeria consists of about 8600sqkm of rivers, estuaries, creeks, and stagnant swamps [7]. The Mangrove Swamp found in this region is the largest in Africa covering at least 1900sqkm [7]. It is a tropical rainforest zone with diverse species of floras and faunas which are highly sensitive to pollution.…”

Section: Effects Of Oil Pollutionmentioning

confidence: 99%

“…Literature abounds that focus either on the spatial or temporal pattern and some focus on analytical assessment of hazardous materials released in the region [7], monitored the intensity of Oil spillage in Ogoni land which is just a part of the Niger Delta Nigeria. [9], worked on the timespace assessment of Vegetative Health in the Niger Delta.…”

Section: Related Literaturementioning

confidence: 99%

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Analysis of Oil Pollution Intensity in Niger-delta, Nigeria Using Normalized Difference Vegetation Index

C.¹,

M.²,

Brisibe³

2022

JGEESI

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There has been an increase in the level of oil spillage across the Niger Delta region of Nigeria since the advent of crude oil exploration. The effects of oil pollution cannot be overemphasized, as it is not only detrimental to human health but also to the ecosystem at large. Geographic Information Systems (GIS) and Remote Sensing (RS) are veritable tools in Environmental management. Normalized Difference Vegetation Index was used as GIS and RS tools to determine the intensity of pollution caused by oil spillage in the Niger Delta area for the past decade (2010-2020). The land sat imageries of the study area were acquired and NDVI analyses were performed. Five NDVI types were used with the equation NDVI=(NIR-Red)/(NIR+Red). The total land mass covered was 109,582 sq.Km. The results showed that in 2010, Healthy Vegetation was 37,352 sq. Km, which was 34 percent of the total land mass. In 2015, Poor Health vegetation accounted for the highest land mass with a total of 41,976 sq. Km, while Moderate Health Vegetation had the lowest land mass of 12,830 sq.Km. In 2020, Poor Health Vegetation accounted for the highest land mass of 38,324 sq.Km representing 35 Percent of the total land mass while Increasing Vegetation had 13,452 sq.Km with 12 Percent making it the lowest NDVI type for the year. From the results, there was evidence showing of increased Normalized Difference Vegetation Index (NDVI) negative values across the years in the study area. This was an indication of the high level of pollution. There is a need to mitigate oil spillage to its barest minimum in the study area.

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Spatio-temporal analysis of vegetation and oil spill intensity in Ogoniland

Cited by 5 publications

References 39 publications

Long-Term Monitoring of Oil Spill Impacted Vegetation in the Niger Delta Region of Nigeria: A Google Earth Engine Derived Vegetation Indices Approach

Long-Term Monitoring of Oil Spill Impacted Vegetation in the Niger Delta Region of Nigeria: A Google Earth Engine Derived Vegetation Indices Approach

Geospatial Assessment of Oil Spill’s Impact in Obio/Akpor Local Government Area Rivers State, Nigeria

Analysis of Oil Pollution Intensity in Niger-delta, Nigeria Using Normalized Difference Vegetation Index

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