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Author Chaiwat, Thanee
Title Night Lights, Economic Growth, and Spatial Inequality of Thailand Type Journal Article
Year 2016 Publication PIER Discussion Papers Abbreviated Journal (up)
Volume 26 Issue Pages
Keywords Remote Sensing
Abstract This paper explains the method using a set of night light imaginary to estimate GPP of Thailand. This method is quite new but widely acceptable in the area of economics because luminosity of night lights is normally based on the amount of economic activities in each area. The results showed a high and significant correlation betweein the night lights and the GPP growth. Even if the estimation was controlled by some specific factors, such as population density, timing size of agricultural or manufacturing sector, the relationship is still robust. After this relationship is confirmed in the provincial level of Thailand, this research applied the results to show the relationship between economic values and spatial inequality, which indicates new understanding about spatial development patterns.
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Language Thai Summary Language Original Title
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Notes Approved no
Call Number GFZ @ kyba @ Serial 2170
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Author Omar, N. S., & Ismal, A.
Title Night Lights and Economic Performance in Egypt Type Journal Article
Year 2019 Publication Advances in Economics and Business Abbreviated Journal (up)
Volume 7 Issue 2 Pages 69-81
Keywords Economics; Remote Sensing
Abstract This paper, to the best of my knowledge, is the first to estimate the association between Nighttime Lights (NTL) and real Gross Domestic Product (GDP) at the national level, using sub-national GDP data for the 27 Egyptian governorates over FY08-FY13. The study finds that NTL has a positive and statistically significant

correlation with GDP at the sub-national and national levels. Hence, NTL can measure and predict GDP in Egypt, at the national and sub-national levels. These findings affirm most previous research that NTL could be a good proxy for GDP when official data are unavailable or time infrequent in developing countries.
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Call Number IDA @ intern @ Serial 2301
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Author Ivajnsic, D., & Žiberna, I.
Title Daljinsko zaznavanje svetlobne onesnaženosti v Sloveniji / Remote sensing of light polution in Slovenia Type Journal Article
Year 2018 Publication Revija za geografijo Abbreviated Journal (up)
Volume 13 Issue 1 Pages 113-132
Keywords Remote Sensing
Abstract Izvleček

Daljinsko zaznavanje svetlobne onesnaženosti v Sloveniji

V članku so predstavljeni rezultati analize svetlobne onesnaženosti na območju Slovenije v obdobju 2013-2017. Podatki so pridobljeni s satelita Suomi NPP, ki snema površje Zemlje tudi v nočnem kanalu. Prikazani so rezultati svetlobne onesnaženosti po občinah in trendi svetlobne onesnaženosti v omenjenem obdobju. Posebej so izpostavljena območja z zelo visokimi in nizkimi vrednostmi svetlobne onesnaženosti.

Abstract

Remote sensing of light pollution in Slovenia

The study deals with the problem of light pollution in Slovenia in the period 2013-2017. Remotely sensed data were obtained from the Suomi NPP satellite, which is scanning the earth's surface at night. The findings and geospatial trends of light pollution in the mentioned time period are discussed on the national and municipal levels. Some areas with very high and low levels of light pollution were exposed.
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Language Slovenian Summary Language Original Title
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Notes Approved no
Call Number IDA @ intern @ Serial 2343
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Author Wang, W., & Cao, C.
Title NOAA-20 VIIRS DNB Aggregation Mode Change: Prelaunch Efforts and On-Orbit Verification/Validation Results Type Journal Article
Year 2019 Publication IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Abbreviated Journal (up)
Volume 12 Issue 7 Pages
Keywords Remote Sensing; Radiometry; Earth; Satellite broadcasting; US Government agencies; Geology; Detectors; VIIRS-DNB
Abstract The Visible Infrared Imaging Radiometer Suite (VIIRS) on-board the National Oceanic and Atmospheric Administration-20 (NOAA-20, previously named Joint Polar Satellite System-1 or J1) satellite was successfully launched in late 2017, following six years of a successful operation by its predecessor on the Suomi National Polar-Orbiting Partnership (S-NPP) satellite. NOAA-20 VIIRS day/night band (DNB) adopts a new on-board aggregation option (Op21), which is different from S-NPP DNB (using Op32), to mitigate high non-linearity at high scan angles, observed in its radiometric response during prelaunch test. As a result, NOAA-20 VIIRS DNB has a larger scan angle at the end of scan (∼60.5°) and exhibits a unique feature, i.e., ∼600 km extended Earth view (EV) samples, compared to S-NPP DNB and other VIIRS bands. VIIRS geolocation (GEO) algorithm and geometric calibration parameters were analyzed in-depth and subsequently modified to accommodate the NOAA-20 VIIRS DNB aggregation mode change. The GEO code change was tested using S-NPP data; S-NPP DNB simulated J1 DNB radiance and limited J1 prelaunch test data. After the launch, it was further verified using NOAA-20 VIIRS on-orbit observations. Our results show that the prelaunch VIIRS GEO code change performs well. GEO validation results using nighttime point sources show that NOAA-20 DNB GEO errors are comparable to those for S-NPP DNB over the nominal EV range, with averaged nadir equivalent GEO errors less than 200 m after on-bit updates. Over the extended EV samples (scan angle > 56.06°), the averaged GEO errors are less than 500 m. Moreover, NOAA-20 VIIRS DNB radiometric calibration performance is comparable to S-NPP.
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Call Number IDA @ intern @ Serial 2350
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Author Zhao, N., Zhang, W., Liu, Y., Samson, E. L., Chen, Y., & Cao, G.
Title Improving Nighttime Light Imagery With Location-Based Social Media Data Type Journal Article
Year 2018 Publication IEEE Transactions on Geoscience and Remote Sensing Abbreviated Journal (up)
Volume 57 Issue 4 Pages
Keywords Remote Sensing
Abstract Location-based social media have been extensively utilized in the concept of “social sensing” to exploit dynamic information about human activities, yet joint uses of social sensing and remote sensing images are underdeveloped at present. In this paper, the close relationship between the number of Twitter users and brightness of nighttime lights (NTL) over the contiguous United States is calculated and geotagged tweets are then used to upsample a stable light image for 2013. An associated outcome of the upsampling process is the solution of two major problems existing in the NTL image, pixel saturation, and blooming effects. Compared with the original stable light image, digital number (DN) values of the upsampled stable light image have larger correlation coefficients with gridded population (0.47 versus 0.09) and DN values of the new generation NTL image product (0.56 versus 0.52), i.e., the Visible Infrared Imaging Radiometer Suite day/night band image composite. In addition, total personal incomes of states are disaggregated to each pixel in proportion to the DN value of the pixel in the NTL images and then aggregate by counties. Personal incomes distributed by the upsampled NTL image are closer to the official demographic data than those distributed by the original stable light image. All of these results explore the potential of geotagged tweets to improve the quality of NTL images for more accurately estimating or mapping socioeconomic factors.
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Notes Approved no
Call Number IDA @ intern @ Serial 2353
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