| Records |
| Author |
Zhao, N.; Ghosh, T.; Samson, E.L. |
| Title |
Mapping spatio-temporal changes of Chinese electric power consumption using night-time imagery |
Type |
Journal Article |
| Year |
2012 |
Publication |
International Journal of Remote Sensing |
Abbreviated Journal |
International Journal of Remote Sensing |
| Volume |
33 |
Issue |
20 |
Pages |
6304-6320 |
Keywords  |
DMSP-OLS; LandScan; remote sensing; China; satellite; light at night |
| Abstract |
China's rapid economic development in the last 20 years has resulted in increased demand for electricity and ensuing shortages in electric power supply. It is necessary to derive accurate and timely information regarding changing spatio-temporal patterns and trends of electric power consumption to inform future electricity allocation. Night-time annual image composites for 1995–2005 were obtained from the Defense Meteorological Satellite Program's Operational Linescan System and were inter-calibrated. The inter-calibrated night-time image composites were used in conjunction with the LandScan 2008 population data to estimate the amounts of electric power consumption in 1995, 2000 and 2005 for China at the province level. The estimated amounts of electric power consumption were then disaggregated to the pixel level. A pixel-based map was produced to show the spatio-temporal changes of electric power consumption from 1995 to 2005, in which 11 regional agglomerations with large increases of electric power consumption had emerged. During the process of producing this spatio-temporal change map, some errors were generated because of the use of single-year LandScan population data, imperfect reference regions for inter-calibration and a single threshold value for delimiting urban areas. However, we believe these errors are limited and acceptable, so we present this method of estimation and disaggregation to show the increases in electric consumption. |
| Address |
Department of Geography , Texas State University-San Marcos , San Marcos , TX , 78666 , USA |
| Corporate Author |
|
Thesis |
|
| Publisher |
|
Place of Publication |
|
Editor |
|
| Language |
|
Summary Language |
|
Original Title |
|
| Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
| Series Volume |
|
Series Issue |
|
Edition |
|
| ISSN |
0143-1161 |
ISBN |
|
Medium |
|
| Area |
|
Expedition |
|
Conference |
|
| Notes |
|
Approved |
no |
| Call Number |
IDA @ john @ |
Serial |
223 |
| Permanent link to this record |
| |
|
| |
| Author |
Townsend, A.C.; Bruce, D.A. |
| Title |
The use of night-time lights satellite imagery as a measure of Australia's regional electricity consumption and population distribution |
Type |
Journal Article |
| Year |
2010 |
Publication |
International Journal of Remote Sensing |
Abbreviated Journal |
International Journal of Remote Sensing |
| Volume |
31 |
Issue |
16 |
Pages |
4459-4480 |
| Keywords |
DMSP-OLS; light at night; remote sensing; satellite; skyglow |
| Abstract |
Satellite imagery of night-time lights provided by the US Air Force Defense Meteorological Satellite Program (DMSP), using the Operational Linescan System (OLS), has been used to estimate the spatial distribution of electricity consumption throughout Australia. For the period 1997 to 2002, there was very high correlation between state electricity consumption and night-time lights with an R 2 value of 0.9346 at the state and territory spatial resolution. To increase the accuracy at which electricity consumption can be estimated at greater spatial resolution, an Overglow Removal Model (ORM) was developed to overcome the overglow effect caused by the dispersion of light into surrounding areas. The ORM makes use of the relationship between light source strength and the overglow/dispersion distance from the light source. As electricity consumption statistics at a greater spatial resolution than the state or territory level are not publically available in Australia, population statistics at the statistical local area (SLA) were used to demonstrate the increased accuracy of the ORM at returning the overglow light to its source, and, in turn, the accuracy of measuring electricity consumption. The ORM enabled an estimation of the electricity consumption of SLAs, greater than 10 km2, with an R 2 value of 0.8732, which is a 25.4% increase in accuracy over untreated data before applying the ORM. The increase in accuracy of the location of the origin of night-time lights can enable better georeferencing of satellite imagery of night-time lights and greater accuracy in locating population centres and centres of economic development, and assist with electricity infrastructure planning in regions of the world where statistics are not readily available. The result of the ORM is a map of Australian electricity consumption, and an estimation of the regional electricity consumption for all SLAs greater than 10 km2 in size is included. |
| Address |
|
| Corporate Author |
|
Thesis |
|
| Publisher |
|
Place of Publication |
|
Editor |
|
| Language |
|
Summary Language |
|
Original Title |
|
| Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
| Series Volume |
|
Series Issue |
|
Edition |
|
| ISSN |
0143-1161 |
ISBN |
|
Medium |
|
| Area |
|
Expedition |
|
Conference |
|
| Notes |
|
Approved |
no |
| Call Number |
IDA @ john @ |
Serial |
230 |
| Permanent link to this record |
| |
|
| |
| Author |
Baugh, K.; Elvidge, C.D.; Ghosh, T.; Ziskin, D. |
| Title |
Development of a 2009 Stable Lights Product using DMSP-OLS data |
Type |
Journal Article |
| Year |
2013 |
Publication |
Proceedings of the Asia-Pacific Advanced Network |
Abbreviated Journal |
APAN Proceedings |
| Volume |
30 |
Issue |
|
Pages |
114 |
| Keywords |
DMSP-OLS; remote sensing |
| Abstract |
Since 1994, NGDC has had an active program focused on global mapping of nighttime lights using the data collected by the Defense Meteorological Satellite Program’s Operational Linescan System (DMSP-OLS) sensors. The basic product is a global annual cloud-free composite, which averages the OLS visible band data for one satellite from the cloud-free segments of individual orbits. Over the years, NGDC has developed automatic algorithms for screening the quality of the nighttime visible band observations to remove areas contaminated by sunlight, moonlight, and the presence of clouds. In the Stable Lights product generation, fires and other ephemeral lights are removed based on their high brightness and short duration. Background noise is removed by setting thresholds based on visible band values found in areas known to be free of detectable lights. In 2010, NGDC released the version 4 time series of Stable Lights, spanning the years 1992-2009. These are available online at <http://www.ngdc.noaa.gov/dmsp/downloadV4composites.html>. |
| Address |
|
| Corporate Author |
|
Thesis |
|
| Publisher |
|
Place of Publication |
|
Editor |
|
| Language |
|
Summary Language |
|
Original Title |
|
| Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
| Series Volume |
|
Series Issue |
|
Edition |
|
| ISSN |
2227-3026 |
ISBN |
|
Medium |
|
| Area |
|
Expedition |
|
Conference |
|
| Notes |
|
Approved |
no |
| Call Number |
IDA @ john @ |
Serial |
207 |
| Permanent link to this record |
| |
|
| |
| Author |
Wu, J.; He, S.; Peng, J.; Li, W.; Zhong, X. |
| Title |
Intercalibration of DMSP-OLS night-time light data by the invariant region method |
Type |
Journal Article |
| Year |
2013 |
Publication |
International Journal of Remote Sensing |
Abbreviated Journal |
International Journal of Remote Sensing |
| Volume |
34 |
Issue |
20 |
Pages |
7356-7368 |
| Keywords |
DMSP-OLS; remote sensing; light at night |
| Abstract |
DMSP-OLS (Defense Meteorological Satellite Program Operational Linescan System) night-time light data can accurately reflect the scope and intensity of human activities. However, the raw data cannot be used directly for temporal analyses due to the lack of inflight calibration. There are three problems that should be addressed in intercalibration. First, because of differences between sensors, the data are not identical even when obtained in the same year. Second, different acquisition times may lead to random or systematic fluctuations in the data obtained by satellites in different orbits. Third, a pixel saturation phenomenon also exists in the urban centres of the image. Therefore, an invariant region method was used in this article, and the relative radiometric calibration and saturation correction achieved the desired results. In the meantime, intercalibration models for each satellite year of DMSP-OLS night-time light data were produced. Finally, intercalibration accuracy was evaluated, and the intercalibration results were tested with the corresponding gross domestic product (GDP) data. |
| Address |
School of Urban Planning and Design , Peking University , Shenzhen , 518055 , China |
| Corporate Author |
|
Thesis |
|
| Publisher |
|
Place of Publication |
|
Editor |
|
| Language |
|
Summary Language |
|
Original Title |
|
| Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
| Series Volume |
|
Series Issue |
|
Edition |
|
| ISSN |
0143-1161 |
ISBN |
|
Medium |
|
| Area |
|
Expedition |
|
Conference |
|
| Notes |
|
Approved |
no |
| Call Number |
IDA @ john @ |
Serial |
203 |
| Permanent link to this record |
| |
|
| |
| Author |
Propastin, P.; Kappas, M. |
| Title |
Assessing Satellite-Observed Nighttime Lights for Monitoring Socioeconomic Parameters in the Republic of Kazakhstan |
Type |
Journal Article |
| Year |
2012 |
Publication |
GIScience & Remote Sensing |
Abbreviated Journal |
GIScience & Remote Sensing |
| Volume |
49 |
Issue |
4 |
Pages |
538-557 |
| Keywords |
DMSP-OLS; remote sensing; light at night; light pollution; satellite; Kazakhstan; former Soviet republics |
| Abstract |
This paper describes an initial assessment of human-induced nighttime lights acquired by the Defence Meteorological Satellite Program (DMSP) Operational Linescan System (OLS) with respect to its applicability in monitoring settlement patterns, population, electricity consumption, gross domestic product (GDP), and carbon dioxide emissions at different spatial levels in the Republic of Kazakhstan. The results revealed the suitability of DMSP-OLS data to detect both urban expansion and contraction over last two decades caused by the new economic situation following the independence of Kazakhstan in 1991. Relationships between DMSP-OLS urban lit area and the socioeconomic parameters were quantified. The DMSP-OLS data proved to be an effective tool in the monitoring of both the spatial and temporal variability of the examined socioeconomic parameters. |
| Address |
Georg-August University, Göttingen, Germany |
| Corporate Author |
|
Thesis |
|
| Publisher |
|
Place of Publication |
|
Editor |
|
| Language |
|
Summary Language |
|
Original Title |
|
| Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
| Series Volume |
|
Series Issue |
|
Edition |
|
| ISSN |
1548-1603 |
ISBN |
|
Medium |
|
| Area |
|
Expedition |
|
Conference |
|
| Notes |
|
Approved |
no |
| Call Number |
IDA @ john @ |
Serial |
221 |
| Permanent link to this record |
