Penggunaan Platform Google Earth Engine Dalam Menganalisis Tingkat Kerapatan Vegetasi Di Wilayah Kesatuan Pengelolaan Hutan Jeneberang (Berbasis Normalized Difference Vegetationindex), Pada Tahun 2000, 2010 Dan 2022


Dharma Fa`iq, Fauzi (2023) Penggunaan Platform Google Earth Engine Dalam Menganalisis Tingkat Kerapatan Vegetasi Di Wilayah Kesatuan Pengelolaan Hutan Jeneberang (Berbasis Normalized Difference Vegetationindex), Pada Tahun 2000, 2010 Dan 2022. Skripsi thesis, Universitas Hasqanuddin.

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Abstract (Abstrak)

Information on vegetation density is important in land use planning and land degradation control. Information on vegetation density can be based on vegetation indices obtained through imagery, together with other information such as biomass aspects and chlorophyll concentrations. The purpose of this study is as an analysis of the level of vegetation development using the latest Google Earth Engine method based on cloud computing. In conducting vegetation density analysis based on NDVI. The research was carried out in the Jeneberang 1 KPH area with the consideration that the area is quite large, and can represent a fairly varied vegetation density. Analysis of changes in vegetation density using an approach utilizing remote sensing technology on the Google Earth Engine platform using Landsat 8 imagery. Vegetation density analysis was carried out using the Normalized Difference Vegetation Index (NDVI) method of the Google Earth Engine platform and accuracy tests were carried out by comparing the value of the vegetation index and the value of the header density in the field. The results of this study show that vegetation density analysis using the Google Earth Engine platform has a high level of accuracy and can be done in a shorter time. The changes in vegetation density levels that occurred in 2000, 2010, and 2022 generally changed in each class, but significant changes occurred in meeting and very tight classes.

Item Type: Thesis (Skripsi)
Subjects: S Agriculture > SD Forestry
Divisions (Program Studi): Fakultas Kehutanan > Kehutanan
Depositing User: Nasyir Nompo
Date Deposited: 20 Aug 2024 00:28
Last Modified: 20 Aug 2024 00:28
URI: http://repository.unhas.ac.id:443/id/eprint/35761

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