Special Issue "Remote Sensing with Nighttime Lights"
A special issue of Remote Sensing (ISSN 2072-4292).
Deadline for manuscript submissions: 30 September 2014
Dr. Christopher D. Elvidge
Earth Observation Group, NOAA National Geophysical Data Center, Boulder, CO 80305, USA
Interests: remote sensing of nighttime lights; gas flares and biomass burning
Nearly every person in the world has at one time or another appreciated the beauty of city lights at night. This may have been on the ground viewing a commercial center, from a tall building, a mountain, or from an aircraft. The points and splays of light surrounded by darkness attract our eyes. Indeed, nocturnal lighting is one of the hallmarks of human presence on the surface of the earth. Nocturnal lighting has emerged as one of the primary remote sensing observables linked to the presence of built infrastructure and human activity levels.
Today, we have a two decade record of global nighttime lights observed by DMSP (1992-2012). While the DMSP nighttime lights have recognized flaws, they have still been widely used to demonstrate the potential of nighttime lights as a spatial proxy for variables that would be difficult to map directly and globally using other means. The DMSP nighttime lights gave a glimpse of how this style of observation can be used as a scientific data product. A new series of nighttime products is beginning to emerge from the VIIRS instrument, which resolves many of the shortcoming of the DMSP. In the future, we expect that even better instruments will fly in space to collect higher spatial resolution multispectral (or even hyperspectral) nighttime lights.
This special issue of Remote Sensing is designed to explore nighttime lights and the scientific applications that have been developed for them. Prospective authors are invited to contribute to this Special Issue of Remote Sensing by submitting an original manuscript of their latest research results in the field of advances in remotely sensed nighttime lights. Review contributions are also welcomed.
Papers are solicited over the wide range of topics encompassed by the remote sensing of nighttime lights, including:
- Sensor designs for observation of nighttime lights
- Methods used for global mapping of nighttime lights
- Use of nighttime lights as a spatial proxy for variables such economic activity, population, and CO2 emissions
- Modeling the density of constructed surfaces and habitat fragmentation
- Light pollution studies
- Spectral analysis of nighttime lights
- Nighttime lights change detection – analysis of urban growth patterns
- Ecological impacts of nocturnal lighting
- Fusion of nighttime lights with other remote sensing data
- Morphological analysis of development
- Intercomparison of DMSP and VIIRS low light imaging data
Dr. Christopher D. Elvidge
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. Papers will be published continuously (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are refereed through a peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Remote Sensing is an international peer-reviewed Open Access monthly journal published by MDPI.
Article: Comparative Estimation of Urban Development in China’s Cities Using Socioeconomic and DMSP/OLS Night Light Data
Remote Sens. 2014, 6(8), 7840-7856; doi:10.3390/rs6087840
Received: 24 June 2014; in revised form: 29 July 2014 / Accepted: 12 August 2014 / Published: 22 August 2014| PDF Full-text (5321 KB)
Article: Characterizing Spatio-Temporal Dynamics of Urbanization in China Using Time Series of DMSP/OLS Night Light Data
Remote Sens. 2014, 6(8), 7708-7731; doi:10.3390/rs6087708
Received: 24 June 2014; in revised form: 21 July 2014 / Accepted: 12 August 2014 / Published: 20 August 2014| PDF Full-text (10606 KB)
Article: Industrial Wastewater Discharge Retrieval Based on Stable Nighttime Light Imagery in China from 1992 to 2010
Remote Sens. 2014, 6(8), 7566-7579; doi:10.3390/rs6087566
Received: 14 May 2014; in revised form: 8 August 2014 / Accepted: 11 August 2014 / Published: 14 August 2014| PDF Full-text (8293 KB)
Article: Estimation of Gross Domestic Product Using Multi-Sensor Remote Sensing Data: A Case Study in Zhejiang Province, East China
Remote Sens. 2014, 6(8), 7260-7275; doi:10.3390/rs6087260
Received: 30 June 2014; in revised form: 28 July 2014 / Accepted: 29 July 2014 / Published: 4 August 2014| PDF Full-text (7323 KB)
Review: Application of DMSP/OLS Nighttime Light Images: A Meta-Analysis and a Systematic Literature Review
Remote Sens. 2014, 6(8), 6844-6866; doi:10.3390/rs6086844
Received: 14 June 2014; in revised form: 18 July 2014 / Accepted: 18 July 2014 / Published: 25 July 2014| PDF Full-text (1308 KB) | Supplementary Files
Remote Sens. 2014, 6(6), 5541-5558; doi:10.3390/rs6065541
Received: 4 March 2014; in revised form: 19 May 2014 / Accepted: 20 May 2014 / Published: 16 June 2014| PDF Full-text (5333 KB) | HTML Full-text | XML Full-text
Article: Modeling In-Use Steel Stock in China’s Buildings and Civil Engineering Infrastructure Using Time-Series of DMSP/OLS Nighttime Lights
Remote Sens. 2014, 6(6), 4780-4800; doi:10.3390/rs6064780
Received: 19 March 2014; in revised form: 16 May 2014 / Accepted: 19 May 2014 / Published: 27 May 2014| PDF Full-text (1441 KB) | HTML Full-text | XML Full-text | Supplementary Files
Article: Evaluating the Ability of NPP-VIIRS Nighttime Light Data to Estimate the Gross Domestic Product and the Electric Power Consumption of China at Multiple Scales: A Comparison with DMSP-OLS Data
Remote Sens. 2014, 6(2), 1705-1724; doi:10.3390/rs6021705
Received: 9 December 2013; in revised form: 5 February 2014 / Accepted: 14 February 2014 / Published: 20 February 2014| Cited by 1 | PDF Full-text (986 KB) | HTML Full-text | XML Full-text
Last update: 3 July 2014