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Remote Sens. 2015, 7(12), 17168-17189; doi:10.3390/rs71215863

A Normalized Urban Areas Composite Index (NUACI) Based on Combination of DMSP-OLS and MODIS for Mapping Impervious Surface Area

1
School of Geography and Planning, Sun Yat-sen University, 135 West Xingang Road, Guangzhou 510275, China
2
School of Marine Sciences, Sun Yat-sen University, 135 West Xingang Road, Guangzhou 510275, China
*
Authors to whom correspondence should be addressed.
Academic Editors: James Campbell, Parth Sarathi Roy and Prasad S. Thenkabail
Received: 14 August 2015 / Revised: 29 November 2015 / Accepted: 1 December 2015 / Published: 18 December 2015
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Abstract

Mapping Impervious Surface Area (ISA) at regional and global scales has attracted increasing interest. DMSP-OLS nighttime light (NTL) data have proven to be successful for mapping urban land in large areas. However, the well-documented issues of pixel blooming and saturation limit the ability of DMSP-OLS data to provide accurate urban information. In this paper, a multi-source composition index is proposed to overcome the limitations of extracting urban land using only the NTL data. We combined three data sources (i.e., DMSP-OLS, MODSI EVI and NDWI) to generate a new index called the Normalized Urban Areas Composite Index (NUACI). This index aims to quickly map impervious surface area at regional and global scales. Experimental results indicate that NUACI has the ability to reduce the pixel saturation of NTL and eliminate the blooming effect. With the reference data derived from Landsat TM/ETM+, regression models based on normalized DMSP-OLS, Human Settlement Index (HSI), vegetation adjusted NTL urban index (VANUI), and NUACI are then established to estimate ISA. Our assessments reveal that the NUACI-based regression model yields the highest performance. The NUACI-based regression models were then used to map ISA for China for the years 2000, 2005 and 2010 (Free download link for the ISA products can be found at the end of this paper). View Full-Text
Keywords: DMSP-OLS; impervious surface area; NUACI; urban areas DMSP-OLS; impervious surface area; NUACI; urban areas
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Liu, X.; Hu, G.; Ai, B.; Li, X.; Shi, Q. A Normalized Urban Areas Composite Index (NUACI) Based on Combination of DMSP-OLS and MODIS for Mapping Impervious Surface Area. Remote Sens. 2015, 7, 17168-17189.

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