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Vullings, L.A.E.; Blok, C.A.; Wessels, C.G.A.M.; Bulens, J.D. |
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Dealing with the Uncertainty of Having Incomplete Sources of Geo-Information in Spatial Planning |
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2013 |
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Applied Spatial Analysis and Policy |
Abbreviated Journal |
Appl. Spatial Analysis |
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6 |
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1 |
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25-45 |
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Economics |
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The Dutch spatial planning legal act of 2008 was aimed at improving efficiency and effectiveness in the development, evaluation and monitoring of spatial planning policy (Ministry of VROM, 2006a). One of the main effects of this legal act was the widespread availability and use of digital spatial plans (Ministry of VROM 2006a, b). This reform led to the expectation that all digital spatial plans would be exchangeable and comparable. In practice, this exchange and comparison required carrying out complex procedures due to uncertainty caused by differences in the scope of spatial plans as well as their intended use. Furthermore the uncertainty resulted in a lack of confidence in spatial plans by policymakers and supporting GIS staff. Our overarching research question was: how can uncertainty caused by incomplete geo-information sources be dealt with? We proposed two techniques—fuzzy logic and visualisation—for policy makers to deal with uncertainty resulting from incomplete geo-information sources in spatial planning at the regional and national planning levels. We used two case studies in the Netherlands to illustrate the results of applying these techniques. The fuzzy set theory provides extra information by converting the discrete borders of continuous objects into fuzzy borders that improve the resemblance to the real object and thus make it more realistic. As shown in the second case study, visualisation also improves the degree of realism and thus provides additional information. Both case studies showed that providing additional information reduces the uncertainty felt by policymakers. |
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1874-463X |
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LoNNe @ christopher.kyba @ |
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436 |
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Cao, C.; Shao, X.; Uprety, S. |
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Title |
Detecting Light Outages After Severe Storms Using the S-NPP/VIIRS Day/Night Band Radiances |
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2013 |
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IEEE Geoscience and Remote Sensing Letters |
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IEEE Geosci. Remote Sensing Lett. |
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10 |
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6 |
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1582-1586 |
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Remote Sensing |
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Power outages after a major storm affect the lives of millions of people and cause massive light outages. The launch of the Suomi National Polar-orbiting Partnership satellite with the Visible Infrared Imaging Radiometer Suite (VIIRS) significantly enhances our capability to monitor and detect light outages with the well-calibrated day/night band (DNB) and to use light loss signatures as indication of regional power outages. This study explores the use of the DNB in quantifying light outages due to the derecho storm in the Washington DC metropolitan area in June 2012 and Hurricane Sandy at the end of October 2012 on the East Coast of U.S. The results show that the DNB data are very useful in detecting power outages by quantifying light loss, but it also has some challenges due to clouds, lunar illumination, and straylight effect. Comparison of light outage and recovery trend determined from DNB data with power company survey shows reasonable agreement, demonstrating the usefulness of DNB in independently verifying and complementing the statistics from power companies. |
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1545-598X |
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GFZ @ kyba @ |
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2040 |
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Li, X.; Ge, L.; Chen, X. |
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Detecting Zimbabwe's Decadal Economic Decline Using Nighttime Light Imagery |
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2013 |
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Remote Sensing |
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Remote Sensing |
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5 |
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9 |
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4551-4570 |
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Zimbabwe; economic decline; nighttime light; DMSP-OLS; remote sensing; light at night |
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Zimbabwe’s economy declined between 2000 and 2009. This study detects the economic decline in different regions of Zimbabwe using nighttime light imagery from the Defense Meteorological Satellite Program’s Operational Linescan System (DMSP-OLS). We found a good correlation (coefficient = 0.7361) between Zimbabwe’s total nighttime light (TNL) and Gross Domestic Product (GDP) for the period 1992 to 2009. Therefore, TNL was used as an indicator of regional economic conditions in Zimbabwe. Nighttime light imagery from 2000 and 2008 was compared at both national and regional scales for four types of regions. At the national scale, we found that nighttime light in more than half of the lit area decreased between 2000 and 2008. Moreover, within the four region types (inland mining towns, inland agricultural towns, border towns and cities) we determined that the mining and agricultural sectors experienced the most severe economic decline. Some of these findings were validated by economic survey data, proving that the nighttime light data is a potential data source for detecting the economic decline in Zimbabwe. |
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2072-4292 |
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IDA @ john @ |
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212 |
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Min, B.; Gaba, K.M.; Sarr, O.F.; Agalassou, A. |
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Title |
Detection of rural electrification in Africa using DMSP-OLS night lights imagery |
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2013 |
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International Journal of Remote Sensing |
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International Journal of Remote Sensing |
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34 |
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22 |
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8118-8141 |
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Remote Sensing |
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We report on the first systematic ground-based validation of the US Air Force Defense Meteorological Satellite Program’s Operational Linescan System (DMSP-OLS) night lights imagery to detect rural electrification in the developing world. Drawing upon a unique survey of villages in Senegal and Mali, this study compares night-time light output from the DMSP-OLS against ground-based survey data on electricity use in 232 electrified villages and additional administrative data on 899 unelectrified villages. The analysis reveals that electrified villages are consistently brighter than unelectrified villages across annual composites, monthly composites, and a time series of nightly imagery. Electrified villages appear brighter because of the presence of streetlights, and brighter villages tend to have more streetlights. By contrast, the correlation of light output with household electricity use and access is low. We further demonstrate that a detection algorithm using data on night-time light output and the geographic location of settlements can accurately classify electrified villages. This research highlights the potential to use night lights imagery for the planning and monitoring of ongoing efforts to connect the 1.4 billion people who lack electricity around the world. |
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0143-1161 |
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LoNNe @ christopher.kyba @ |
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484 |
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Author |
Baugh, K.; Elvidge, C.D.; Ghosh, T.; Ziskin, D. |
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Title |
Development of a 2009 Stable Lights Product using DMSP-OLS data |
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2013 |
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Proceedings of the Asia-Pacific Advanced Network |
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APAN Proceedings |
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30 |
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114 |
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DMSP-OLS; remote sensing |
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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>. |
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2227-3026 |
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IDA @ john @ |
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207 |
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