Pravita, Dea and Armijon, Armijon and Murdapa, Fauzan (2019) Perbandingan Algoritma Transformasi Normalized Difference Vegetation Index (NDVI) Dan Enhanced Vegetation Index (EVI) Untuk Analisis Kerapatan Lahan Mangrove. In: FIT ISI 2019 dan ASEANFLAG 72nd COUNCIL MEETING, 8 November 2019, JS Luwansa Hotel and Convention Center - Jakarta.

[img] Text (PROSIDING FIT ISI 2019 JKT 5 - Perbandingan Algoritma Transformasi Normalized Difference Vegetation Index (Ndvi) Dan Enhanced Vegetation Index (Evi) Untuk Analisis Kerapatan Lahan Mangrove)
PROSIDING FIT ISI 2019 JKT 5-EVI NDVI MANGROVE.pdf - Published Version

Download (949kB)
Official URL: https://drive.google.com/file/d/1ApkerSwFaeALmcY6Q...

Abstract

The algorithm that is often used for land cover analysis is the vegetation index algorithm. Vegetation index is the amount of vegetation greenness value that obtained from digital signal processing of brightness value data. From various existing vegetation index algorithms, the Normalized Difference Vegetation Index (NDVI) algorithm and the Enhanced Vegetation Index (EVI) algorithm are often used for monitoring vegetation. To find out the density of mangrove land, it can be used a comparison between two algorithms in order to get a vegetation index algorithm that has a better accuracy. Data analysis method that used in this research are Landsat 8 satellite image data, which is carried out by the pre- processing process to the transformation process of NDVI vegetation index and EVI that resulting a level of mangrove density. Then, the land verification was carried out by taking a mangrove canopy density photographs with hemispherical photography method. Henceforth, the accuracy test used confusion matrix method. This research found that the value of NDVI vegetation index range from 0.19 until 0.76. While the value of EVI vegetation index range from -0.11 until 1.03. The results from the confusion matrix calculation, the accuracy value for the NDVI method was 73.68% totality, while the accuracy value from the EVI method was 84.21% totality. So, it can be concluded that the EVI method has a higher accuracy value than the NDVI method if applied to find out a mangrove density level.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Enhanced Vegetation Index (EVI), Mangrove density, Normalized Difference Vegetation Index (NDVI), Vegetation index.
Subjects: Q Science > Q Science (General)
S Agriculture > S Agriculture (General)
T Technology > T Technology (General)
Divisions: Fakultas Teknik (FT) > Prodi Teknik Geodesi
Depositing User: Armijon Armijon
Date Deposited: 04 Mar 2020 01:16
Last Modified: 04 Mar 2020 01:16
URI: http://repository.lppm.unila.ac.id/id/eprint/18221

Actions (login required)

View Item View Item