Comparison Normalized Dryness Built-Up Index (NDBI) with Enhanced Built-Up and Bareness Index (EBBI) for Identification Urban in Buleleng Sub-District

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Published: Apr 1, 2022
DOI: https://doi.org/10.23887/mkfis.v21i1.43007
Keywords:
Landsat 8, NDBI, EBBI

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Lilis Nuraini
Universitas Pendidikan Ganesha
A Sediyo Adi Nugraha
Universitas Pendidikan Ganesha
http://orcid.org/0000-0001-9450-360X
Restu Ade Yanti
Universitas Pendidikan Ganesha
Lutfiatul Janah
Universitas Pendidikan Ganesha

Abstract

The research aims to determine how much accuracy is improved in developing settlements and distinguish the areas built up and vacant land in Buleleng, Bali district. This study used remote sensing methods to monitor and detect changes in the waking area using Landsat 8 OLI imagery.  Identify settlement developments using the Normalized Difference Built-up Index (NDBI) and Enhanced Built-Up and Bareness Index (EBBI) algorithms. Both algorithms use red and infrared bands as the basis for identifying building differences. As a result, NDBI and EBBI have differences where the accuracy of EBBI is higher than NDBI by 84% and 82%. The difference in accuracy is influenced by the appearance of vegetation and clay-roofed buildings. Based on that, it can be concluded that in identifying the building, EBBI has a higher capacity compared to NDBI, but it must be ensured that in the use of EBBI, the area studied has a more dominant appearance of the building.

Article Details

Issue
Vol. 21 No. 1 (2022)
Section
Articles
Author Biographies

Lilis Nuraini, Universitas Pendidikan Ganesha

Department of Geography

A Sediyo Adi Nugraha, Universitas Pendidikan Ganesha

Department of Geography

Restu Ade Yanti, Universitas Pendidikan Ganesha

Department of Geography

Lutfiatul Janah, Universitas Pendidikan Ganesha

Department of Geography

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