Remote Sensing Based-Assessment of Land Use and Land Cover Dynamics in Mangrove Vegetation, Akwa Ibom State, Nigeria (1986-2024)

This study was poised to determine the spatial extent and trend of changes in mangrove vegetation in Akwa Ibom State, in the Niger Delta region of Nigeria, for about forty years. Remotely sensed Landsat satellite images were obtained for 1986, 2004, 2014, and 2024 from the United States Geological Survey, Earth Explorer. The study identified, classified, and analysed the various land uses replacing Mangrove vegetation in Akwa Ibom State using the supervised algorithm in Erdas Imagine. The result showed that the mangrove forest declined by about 70% from 1986 to 2024. The decline in the spatial extent of Mangrove vegetation was influenced by several anthropogenic factors, especially in the coastal areas. Notably, there was a steady increase in built-up, and farmland uses through these years. This study suggests the need to monitor Mangrove vegetation exploitation. Furthermore, it recommends the need for an urgent mangrove restoration programme in the area, given the ecological benefits of the mangrove vegetation to the ecosystem.

Authors

Publication Details

Journal
Global Journal of Environmental Science and Sustainability
Published
2025-10-01
DOI
https://doi.org/10.69798/93599792
Primary Topic
Coastal wetland ecosystem dynamics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Remote Sensing Based-Assessment of Land Use and Land Cover Dynamics in Mangrove Vegetation, Akwa Ibom State, Nigeria (1986-2024)

Akan Tom, Uwem Ituen, Iniubong E. Ansa, Eti-obong Simeon Ema et al.
Global Journal of Environmental Science and Sustainability
Coastal wetland ecosystem dynamics
article

Remote Sensing Based-Assessment of Land Use and Land Cover Dynamics in Mangrove Vegetation, Akwa Ibom State, Nigeria (1986-2024)

Akan Tom, Uwem Ituen, Iniubong E. Ansa, Eti-obong Simeon Ema, Mfoniso Inyanam, Edidiong Etim, Robert Ekpenyong Robert Ekpenyong, Uduak Akpan, Akwa Ibom State Ministry of Agriculture, Uyo, Nigeria
article en

Abstract

This study was poised to determine the spatial extent and trend of changes in mangrove vegetation in Akwa Ibom State, in the Niger Delta region of Nigeria, for about forty years. Remotely sensed Landsat satellite images were obtained for 1986, 2004, 2014, and 2024 from the United States Geological Survey, Earth Explorer. The study identified, classified, and analysed the various land uses replacing Mangrove vegetation in Akwa Ibom State using the supervised algorithm in Erdas Imagine. The result showed that the mangrove forest declined by about 70% from 1986 to 2024. The decline in the spatial extent of Mangrove vegetation was influenced by several anthropogenic factors, especially in the coastal areas. Notably, there was a steady increase in built-up, and farmland uses through these years. This study suggests the need to monitor Mangrove vegetation exploitation. Furthermore, it recommends the need for an urgent mangrove restoration programme in the area, given the ecological benefits of the mangrove vegetation to the ecosystem.

Global Journal of Environmental Science and SustainabilityVol. 2(2)
Life in Land, Life below water
Openalex Percentile: Top 23%
Coastal wetland ecosystem dynamics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Remote Sensing Based-Assessment of Land Use and Land Cover Dynamics in Mangrove Vegetation, Akwa Ibom State, Nigeria (1986-2024) — Akan Tom, Uwem Ituen, et al. · Global Journal of Environmental Science and Sustainability (2025) | TGRS Research Map | TGRS