Next Article in Journal
Use of Bi-Temporal ALS Point Clouds for Tree Removal Detection on Private Property in Racibórz, Poland
Next Article in Special Issue
Learning from Nighttime Observations of Gas Flaring in North Dakota for Better Decision and Policy Making
Previous Article in Journal
Assessing Summertime Primary Production Required in Changed Marine Environments in Upwelling Ecosystems Around the Taiwan Bank
Previous Article in Special Issue
An Improved Correction Method of Nighttime Light Data Based on EVI and WorldPop Data
Open AccessArticle

An Optimized Approach for Extracting Urban Land Based on Log-Transformed DMSP-OLS Nighttime Light, NDVI, and NDWI

1
Key Lab of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China
2
University of Chinese Academy of Sciences, Beijing 100049, China
3
College of Computer and Information Engineering, Xiamen University of Technology, Xiamen 361024, China
4
Big Data Institute of Digital Natural Disaster Monitoring in Fujian, Xiamen University of Technology, Xiamen 361024, China
5
College of Harbour and Environmental Engineering, Jimei University, Xiamen 361021, China
*
Author to whom correspondence should be addressed.
Academic Editor: Tilottama Ghosh
Remote Sens. 2021, 13(4), 766; https://doi.org/10.3390/rs13040766
Received: 30 December 2020 / Revised: 30 January 2021 / Accepted: 17 February 2021 / Published: 19 February 2021
(This article belongs to the Special Issue Remote Sensing of Nighttime Observations)
Quantitative and accurate urban land information on regional and global scales is urgently required for studying socioeconomic and eco-environmental problems. The spatial distribution of urban land is a significant part of urban development planning, which is vital for optimizing land use patterns and promoting sustainable urban development. Composite nighttime light (NTL) data from the Defense Meteorological Program Operational Line-Scan System (DMSP-OLS) have been proven to be effective for extracting urban land. However, the saturation and blooming within the DMSP-OLS NTL hinder its capacity to provide accurate urban information. This paper proposes an optimized approach that combines NTL with multiple index data to overcome the limitations of extracting urban land based only on NTL data. We combined three sources of data, the DMSP-OLS, the normalized difference vegetation index (NDVI), and the normalized difference water index (NDWI), to establish a novel approach called the vegetation–water-adjusted NTL urban index (VWANUI), which is used to rapidly extract urban land areas on regional and global scales. The results show that the proposed approach reduces the saturation of DMSP-OLS and essentially eliminates blooming effects. Next, we developed regression models based on the normalized DMSP-OLS, the human settlement index (HSI), the vegetation-adjusted NTL urban index (VANUI), and the VWANUI to analyze and estimate urban land areas. The results show that the VWANUI regression model provides the highest performance of all the models tested. To summarize, the VWANUI reduces saturation and blooming, and improves the accuracy with which urban areas are extracted, thereby providing valuable support and decision-making references for designing sustainable urban development. View Full-Text
Keywords: DMSP-OLS nighttime light; logarithmic transformation; NDVI; NDWI; urban land DMSP-OLS nighttime light; logarithmic transformation; NDVI; NDWI; urban land
Show Figures

Graphical abstract

MDPI and ACS Style

Zheng, Y.; Zhou, Q.; He, Y.; Wang, C.; Wang, X.; Wang, H. An Optimized Approach for Extracting Urban Land Based on Log-Transformed DMSP-OLS Nighttime Light, NDVI, and NDWI. Remote Sens. 2021, 13, 766. https://doi.org/10.3390/rs13040766

AMA Style

Zheng Y, Zhou Q, He Y, Wang C, Wang X, Wang H. An Optimized Approach for Extracting Urban Land Based on Log-Transformed DMSP-OLS Nighttime Light, NDVI, and NDWI. Remote Sensing. 2021; 13(4):766. https://doi.org/10.3390/rs13040766

Chicago/Turabian Style

Zheng, Yuanmao; Zhou, Qiang; He, Yuanrong; Wang, Cuiping; Wang, Xiaorong; Wang, Haowei. 2021. "An Optimized Approach for Extracting Urban Land Based on Log-Transformed DMSP-OLS Nighttime Light, NDVI, and NDWI" Remote Sens. 13, no. 4: 766. https://doi.org/10.3390/rs13040766

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop