Forest health monitoring assessment using gis and remote sensing application at Kuala Selangor Nature Park (KSNP)

Citation

Muhammad Aliff Suhaimi (2025) Forest health monitoring assessment using gis and remote sensing application at Kuala Selangor Nature Park (KSNP). Final Year Project thesis, Universiti Malaysia Kelantan. (Submitted)

Abstract

Kuala Selangor Nature Park (KSNP) is a vital wetland ecosystem that requires consistent monitoring to evaluate and sustain its forest health. This study employed remote sensing and Geographic Information System (GIS) techniques to assess vegetation dynamics and land use changes within KSNP between 2020 and 2024. Landsat 8 and 9 imagery were processed using ArcGIS to generate the Normalised Difference Vegetation Index (NDVI), which was classified into three vegetation health categories: non-vegetation, moderate vegetation, and dense vegetation. Results revealed a substantial improvement in forest health, with dense vegetation increasing markedly from 7.00% (0.25 km2) in 2020 to 57.00% (2.04 km2) in 2024.

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Official URL: https://fsb.umk.edu.my/

Additional Metadata

Item Type:	Undergraduate Final Project Report
Collection Type:	Final Year Project
Date:	2025
Number of Pages:	43
Supervisor:	Ts. Dr. Noor Janatun Naim Jemali
Institution:	Universiti Malaysia Kelantan
Faculty/Centre/Office:	Faculty of Earth Sciences
URI:	http://discol.umk.edu.my/id/eprint/18362
Statistic Details:	View Download Statistic

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