Vegetation analysis based on pleiades images at UMK Agropark

Forests play a vital role in sustainable development and provide a range of economic, social and environmental benefits. Fragmentation of the forests brings out the effect of the various stressing factors on the spatial extent of the forests particularly the inappropriate application that increasing population and industrialization, which has constantly affected the forested regions in the form of deforestation for conversion of forest land for cultivation purposes and business purposes. Hence, there is a need for spatial assessment and continuous monitoring of the forested regions. So, it is very crucial to analyse the vegetation at Universiti Malaysia Kelantan (UMK) Agropark based on Forest Canopy Density (FCD) to assess the quality of the forest. It is feasible that there is no changes in forest area but the forest canopy density is changed. The research was conducted in UMK Agropark, Jeli, where the study area covers about 462010.53 m2. During this study, the methodology involved is a radiometric correction, reclassified, and parameters such as Advanced Vegetation Index (AVI), Bare Soil Index (BSI) and Canopy Shadow Index (SI) are used to study vegetation of forest area based on FCD and lastly correlation coefficient analysis. Pleiades image in 2018, has been formalized and then utilized in ENVI and ArcGIS 10.2 software to calculate FCD. The final results of the area consist of 29.12% very dense vegetation, 28.59% moderately dense vegetation, 16.50% low dense vegetation, 7.36% shrub and 6.74% bare soil. The highest value of r2 was 0.93 which was scattering plots of FCD versus SI, showing 93% of SI were highly correlated to FCD. This method is beneficial to discover and estimate the vegetation of forest area based on forest canopy density over large place in a time and cost high-quality manner.