Pemetaan Tingkat Kerapatan Vegetasi di Kota Palu Menggunakan Citra Sentinel 2A

Muhammad Adam Suni; Ramad Arya Fitra; Busranuddin Daeng Masserang; Birgitta Karlina Pritta

doi:10.31004/jerkin.v2i1.179

Authors

Muhammad Adam Suni Balai Besar Taman Nasional Lore Lindu https://orcid.org/0000-0002-1237-1613
Ramad Arya Universitas Sembilanbelas November
Busranuddin Kesatuan Pengelolaan Hutan Lindung Unit VIII Kulawi
Pritta Balai Besar Taman Nasional Lore Lindu

DOI:

https://doi.org/10.31004/jerkin.v2i1.179

Keywords:

Vegetation Density, Mapping, Sentinel 2A Imagery, Normalized Difference Vegetation Index

Abstract

The background for making this map in community service is the need for data on the area of vegetated areas and the level of vegetation density by various parties, both from government agencies, research and education needs, and non-government agencies. Meanwhile regional development and increase in residential land are increasing from year to year. To find out the area of vegetated areas and the level of density of vegetation effectively and efficiently, mapping can be done using remote sensing. The purpose of this community service is to find out the area of vegetated areas and the level of vegetation density in Palu City in 2022. This community service is a descriptive research. The area of the vegetated area and the level of vegetation density were obtained through remote sensing using the Normalized Difference Vegetation Index (NDVI) method utilizing Sentinel 2-A imagery and direct field surveys. The result of this community service is a map of the level of vegetation density in the city of Palu in 2022, which shows that there are 4 (four) classes of vegetation density, namely the non-vegetation class of 3,602.77 Ha. Rare vegetation class 3,649.22 Ha. Medium vegetation class 6,539.65 Ha. Dense vegetation class 24,175.91 Ha

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