Enhanced Built-Up and Bareness Index (EBBI) for Mapping Built-Up and Bare Land in an Urban Area

Abd Rahman As-Syakur,I Wayan Sandi Adnyana,I Wayan Nuarsa,I Wayan Arthana

doi:10.3390/rs4102957

Abd Rahman As-Syakur, I Wayan Sandi Adnyana + Show 2 more

Open Access

https://doi.org/10.3390/rs4102957

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Journal: Remote Sensing	Publication Date: Oct 2, 2012
Citations: 268	License type: CC BY 4.0

Affiliation: Udayana University

Abstract

Remotely sensed imagery is a type of data that is compatible with the monitoring and mapping of changes in built-up and bare land within urban areas as the impacts of population growth and urbanisation increase. The application of currently available remote sensing indices, however, has some limitations with respect to distinguishing built-up and bare land in urban areas. In this study, a new index for transforming remote sensing data for mapping built-up and bare land areas is proposed. The Enhanced Built-Up and Bareness Index (EBBI) is able to map built-up and bare land areas using a single calculation. The EBBI is the first built-up and bare land index that applies near infrared (NIR), short wave infrared (SWIR), and thermal infrared (TIR) channels simultaneously. This new index was applied to distinguish built-up and bare land areas in Denpasar (Bali, Indonesia) and had a high accuracy level when compared to existing indices. The EBBI was more effective at discriminating built-up and bare land areas and at increasing the accuracy of the built-up density percentage than five other indices.

Highlights

One of the main problems in mapping urban areas is assessing the change in land usage from non-residential to residential
This study investigated the mapping of built-up and bare land areas by Enhanced Built-Up and Bareness Index (EBBI) transformation
The results of comparing the relationship between the EBBI and the percentages of built-up area coverage and remote sensing indices are detailed

Summary

Introduction

One of the main problems in mapping urban areas is assessing the change in land usage from non-residential to residential. Land use changes usually occur because of high urbanisation and residential development rates. These conditions result in high surface runoff, changes in micro-temperature [1], transport of water pollutants [2], and reduction in water quality [3]. Development may introduce bare land within an urban area [4]. Land use mapping primarily employs the multispectral classification method; there are other methods that utilise the application of the remote sensing index [1]. Chen et al [6] classified urban land uses using several remote sensing indices in the Pearl River Delta of China with high accuracy. Indices for mapping the built-up and bare land in urban areas, such as the Normalised

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Conclusion