Spatiotemporal Assessment of Wetland Ecosystem: Integrating Terrain and Population Dynamics for Sustainable Planning

Wetlands are crucial in environmental sustainability, supporting biodiversity, water purification, flood control, and climate regulation. However, these ecosystems are increasingly threatened by anthropogenic activities and urban expansion. This study explores using remote sensing and GIS tools to assess wetland changes over time for conservation planning. Landsat imagery from 1990, 2000, 2013, and 2024 was processed in ENVI 6.0 using supervised classification with Maximum Likelihood Classification (MLC). Accuracy assessment was conducted through confusion matrices, while thematic change detection identified areas of wetland loss. Ancillary datasets, the Digital Elevation Model (DEM) and WorldPop population density layers, were analyzed using ArcGIS Pro. The results revealed a consistent decline in wetland coverage, with a corresponding rise in population density and encroachment in low-lying areas. Wetland zones at lower elevations showed greater susceptibility to conversion, often replaced by built-up or agricultural land. The integration of ancillary data proved critical for understanding the spatial drivers behind wetland degradation. The findings contribute to the growing body of knowledge on sustainable land use and emphasize the relevance of spatial tools in conserving ecologically sensitive areas.

Authors

Publication Details

Journal
International Journal of Multidisciplinary Research and Growth Evaluation
Published
2025-01-01
DOI
https://doi.org/10.54660/.ijmrge.2025.6.3.722-730
Primary Topic
Land Use and Ecosystem Services
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Spatiotemporal Assessment of Wetland Ecosystem: Integrating Terrain and Population Dynamics for Sustainable Planning

Oladimeji Olaniyan, Oluwaseun Ipede, Michael Feyisetan, Ebunoluwa Oladunjoye
International Journal of Multidisciplinary Research and Growth Evaluation
Land Use and Ecosystem Services
article

Spatiotemporal Assessment of Wetland Ecosystem: Integrating Terrain and Population Dynamics for Sustainable Planning

Oladimeji Olaniyan, Oluwaseun Ipede, Michael Feyisetan, Ebunoluwa Oladunjoye
article en

Abstract

Wetlands are crucial in environmental sustainability, supporting biodiversity, water purification, flood control, and climate regulation. However, these ecosystems are increasingly threatened by anthropogenic activities and urban expansion. This study explores using remote sensing and GIS tools to assess wetland changes over time for conservation planning. Landsat imagery from 1990, 2000, 2013, and 2024 was processed in ENVI 6.0 using supervised classification with Maximum Likelihood Classification (MLC). Accuracy assessment was conducted through confusion matrices, while thematic change detection identified areas of wetland loss. Ancillary datasets, the Digital Elevation Model (DEM) and WorldPop population density layers, were analyzed using ArcGIS Pro. The results revealed a consistent decline in wetland coverage, with a corresponding rise in population density and encroachment in low-lying areas. Wetland zones at lower elevations showed greater susceptibility to conversion, often replaced by built-up or agricultural land. The integration of ancillary data proved critical for understanding the spatial drivers behind wetland degradation. The findings contribute to the growing body of knowledge on sustainable land use and emphasize the relevance of spatial tools in conserving ecologically sensitive areas.

International Journal of Multidisciplinary Research and Growth EvaluationVol. 6(3)
Openalex Percentile: Top 89%
Land Use and Ecosystem Services
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.