• Title/Summary/Keyword: DMSP OLS

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Variable Selection for Estimating Population Using DMSP-OLS Night-time Image (DMSP-OLS 야간 영상을 이용한 인구 추정 모델 변수 선정 연구)

  • Yoo, Su-Hong;Han, Soo-Hee;Heo, Joon;Sohn, Hong-Gyoo
    • Korean Journal of Remote Sensing
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    • v.27 no.1
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    • pp.69-74
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    • 2011
  • It may be an important issue to estimate population of a concerned country. In this study, an appropriate variable was selected to establish a model which fits best the relationship between the night time imagery of DMSP-OLS and population data. Exponential model was selected which was proposed by previous study. Accuracy validation was also performed for each variable extracted from the night time imagery of DMSP-OLS. Consequently, the model showed high accuracy when applied to the area of a certain amount of light was existed. However, further consideration should be necessary when to applied other country or other part of regions.

The Estimation of Temporal Change Patterns associated with Economic Growth and Urban Areas in a Border Region using DMSP-OLS Nighttime Imagery Data: The Case Study of Jilin Province, China (DMSP-OLS 야간영상자료를 이용한 접경지역의 경제성장과 시가지 면적의 시계열 변화 패턴 추정: 중국 지린성을 사례로)

  • Kim, Minho;Joh, Young-Kug
    • Journal of the Economic Geographical Society of Korea
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    • v.22 no.4
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    • pp.458-471
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    • 2019
  • DMSP-OLS nighttime satellite imagery could be used to derive the sum of lights (SOL) and built-up area, and the two indices have been widely employed to make the estimation of socio-economic variables and the dynamics of urban developments. Considering it, this research investigated the spatiotemporal patterns of economic growth and urbanized area in Jilin Province, China, using DMSP-OLS data for a time span between 1992 and 2012. This study found the SOLs of both the province and most cities to tend to grow during the period. While SOL-weighted centroids' means moved towards northwestern direction, urban-area centroids' means followed the trend of south-eastern migration. These directional patterns could be associated with the Northeast Revitalization Plan of Chinese governments. Nonetheless, a future study will need to consider SNPP VIIRS DNB imagery in order to overcome temporal limitation of DMSP-OLS data. In addition, it is also necessary to estimate socio-economic indices, e.g., growth regional domestic product, using a regression model developed with correlation relationship between economic statistics ad SOL.

Distribution of Fishing Boats at Night in the East Sea Derived from DMSP/OLS Imagery (DMSP/OLS 영상에서 관측한 동해 야간조업어선의 분포 특성)

  • KIM Sang-Woo;CHO Kyu-Dae;KIM Young-Seup;CHOI Yun-Sun;AHN Yu-Hwan;KIM Yongseung
    • Korean Journal of Fisheries and Aquatic Sciences
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    • v.38 no.5
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    • pp.323-330
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    • 2005
  • Monthly distributions of fishing boats at night in the East Sea are described, using defense meteorological satellite program (DMSP)/operational linescan system (OLS) images and common squid (Todarodes pacificus) catches data. We also estimated temperature in 50m, which is main catch depth of the squid, by MCSST (multi-channel sea surface temperature). We examined DMSP/OLS, MCSST and other observation data from 1993 to 2000. We assumed that squid were caught in areas where fishing boats were located. Fishing boats at night appeared only near the Korea/Tsushima Strait from January to March. Fishing boats moved to the northward from April to Jun, distribution of fishing boats in spring appeared greater than those in winter. In summer (July-September), center of fishing grounds was formed near the Uleung Island in the south east coast of Korea. The north-south distribution range of fishing boats in October appeared to be greater than that in other months. In particular, we estimated main season of squid catches based on distribution range reflecting the number of fishing boats of north-south and east-west directions from September to December. Relationship between satellite estimate SST and in situ SST showed high correlation (0.91). The correlation between the SST and 50m depth temperature, estimated based on the satellite SST, was relatively high in February, April and October.

A Study of the Correlation Between Nighttime Light and Individual Land Price by Province in South Korea, Using DMSP OLS Data (야간광과 남한의 시도별 개별 공시지가 총액의 상관관계 연구 - DMSP OLS 자료를 중심으로)

  • Bong Chan Kim ;Seulki Lee ;Chang-Wook Lee
    • Korean Journal of Remote Sensing
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    • v.39 no.5_1
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    • pp.729-741
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    • 2023
  • The Operational Linescan System (OLS)sensor is a sensor aboard satellites launched through the Defense Meteorological Satellite Program (DMSP) that detects light in the visible and infrared bands emitted at night. Studies by several researchers have shown a high correlation between nighttime light data from OLS sensors and gross domestic product values. In this study, we investigated the correlation of nighttime light data with the total amount of individual land prices, which is one of the various indicators related to economic development. The study found that most cities and provinces showed a high correlation with a correlation coefficient of more than 0.7, and the correlation coefficient of 0.7837 between the total amount of individual land price and nighttime light data for the entire South Korea was also high. However, unlike other cities and provinces, Seoul has a low correlation coefficient of 0.5648 between nighttime light and the total amount of individual land price, which is analyzed as a reason that the digital number value of the OLS sensor is close to the maximum value and cannot show further brightness changes. This study is expected to help identify announced land prices in areas where announced land prices are not systematically organized and to analyze land use changes in such areas.

GIS Analyst of Fishing Fleet in the East Sea Derived from Nighttime Satellite Images in 1993 (1993년 야간위성영상에서 관측한 동해 어선분포의 GIS에 의한 분석)

  • 김상우
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.6 no.6
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    • pp.812-818
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    • 2002
  • Spatio-temporal distributions of nighttime fishing fleet are descirbed with the aid of geographic information system(GIS) technology in the East/Japan Sea, using daily mean composite images of the Defense Meteorological Satellite Program(DMSP) /Operational Linescan System(OLS) in 1993. We selected a study area from $30^{\circ} N to 44^{\circ} N in latitude and from 124^{\circ} E to 142^{\circ}$ E in longitude in order to describe the monthly and seasonal changes of nighttime fishing fleet. The GIS software package Image Analyst (ArcView 3) are used to analyze spatio-temporal distributions of fishing nut. And the OLS images of nighttime visible band provide useful information about the spatio-temporal distribution of the fishing nut. Density areas of nighttime fishing fleet are around Tsushima/korea Strait. the east coast of the Korea Peninsula, the coast of Honshu, and around Yamato Bank.

TEMPORAL AND SPA TIAL VARIATION OF NIGHTTIME FISHING GROUND DERIVED FROM SATELLITE IMAGERY

  • Kim Sang-Woo;Jeong Hee-Dong;Suh Young-Sang;Go Woo Jin;Jang Lee-Hyun
    • Proceedings of the KSRS Conference
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    • 2005.10a
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    • pp.437-440
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    • 2005
  • We examined the relationship between the 50m temperature estimated by remote sensing sea surface temperature (SST) and fishing ground (squid fishing ground) detected by nighttime visible channel defense meteorological satellite program (DMSP) I operational linescan system (OLS) images in the East/Japan Sea during 1993-2000. The results are as follows: The numbers of nighttime fishing boat were distributed the highest in October, and the lowest in April during this study. A nighttime fishing grounds have concentrated in the East Korea Warm Current region, coastal regions of Honshu Island, and Polar front region. Fishing grounds have distributed $11-18^{\circ}C$ of estimated 50m temperature from the satellite data. Relationship between estimated 50m temperature and the distributed fisheries boats showed that the north boundaries of fishing grounds have distributed the temperature of below $12^{\circ}C$ from 1996 to 2000 and that of $13-15^{\circ}C$ during 1993-1995 and 1997-1999. Stable fishing grounds appeared near the Korea/Tsushima Strait from January to March. The center of fishing grounds in spring (April-Jun) have moved to the northward than that in winter, and variations appeared largely in winter. In summer (July-September), center of fishing grounds have formed near the Uleung Island in the south east coast of Korea, and in autumn maximum fishing ground appeared in October, the fishing ground southward from November.

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The Geopolitical and Geoeconomic Implications of Sum of Light on A Border Region: A case study of Dandong, China (접경지역 빛합계 지수의 지정학·지경학적 함의: 중국 단둥시를 사례로)

  • Kim, Minho;Chi, Sang-Hyun;Chung, Su-Yeul;Lee, Sung-Cheol
    • Journal of the Economic Geographical Society of Korea
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    • v.20 no.3
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    • pp.369-387
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    • 2017
  • This research derived sum of light (SOL) for Liaoning and Dandong, China, from DMSP OLS satellite images acquired at nighttime during 1992 to 2012 and investigated its potential association with economic status. The SOLs of Liaoning were found to be continuously increasing and higher than those of averages for the other provinces across the time period. The temporal pattern of SOLs would be interpreted to well reflect the economic status of this region based on real growth rate and average wage per capita. Nevertheless, the SOLs of Dandong were lower than the average of the other prefecture-level cities, which indicated the economic status of this city in China. Meanwhile, the average annual growth rate of SOLs for Dandong turned out to be increase for 1998~2007, compared with the previous years, and temporal patterns in the trade amount between North Korea and China and the export amount of North Korea to China were similar to those of SOLs in the same time period. The political association between South and North Koreas was improved with 'Sunshine Policy' during 1997~2007. Taking it into account, SOL is expected to be valuable spatial proxy index that could explain the geopolitcal and geoeconomic aspects of Dandong.

Distribution of Nighttime Fishing Fleets Using RS and GIS (RS 및 GIS를 활용한 야간조업어선의 분포)

  • 김상우;조규대;김영섭;김동선
    • Proceedings of KOSOMES biannual meeting
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    • 2003.05a
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    • pp.179-181
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    • 2003
  • Spatio-temporal distributions of nighttime fishing fleets were described with the aid of geographic information system (GIS) technology in the East Sea, using daily mean composite images of the Defense Meteorological Satellite Program (DMSP) /Operational Linescan System (OLS) in 1993 and 1994. We selected a study area from 30$^{\circ}$N to 44$^{\circ}$N in latitude and from 124$^{\circ}$E to 142$^{\circ}$E in longitude in order to describe the monthly and seasonal changes of nighttime fishing fleets. The OLS images of nighttime visible band provide useful information about the spatio-temporal distribution of the fishing fleets. Density areas of nighttime fishing fleets were around Tsushima/Korea Strait. the east coast of the Korea Peninsula, the coast of Honshu, and around Yamato Bank.

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Analysis of Spatio-Temporal Patterns of Nighttime Light Brightness of Seoul Metropolitan Area using VIIRS-DNB Data (VIIRS-DNB 데이터를 이용한 수도권 야간 빛 강도의 시·공간 패턴 분석)

  • Zhu, Lei;Cho, Daeheon;Lee, Soyoung
    • Journal of Cadastre & Land InformatiX
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    • v.47 no.2
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    • pp.19-37
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    • 2017
  • Visible Infrared Imaging Radiometer Suite Day-Night Band (VIIRS-DNB) data provides a much higher capability for observing and quantifying nighttime light (NTL) brightness in comparison with Defense Meteorological Satellite-Operational Linescan System (DMSP-OLS) data. In South Korea, there is little research on the detection of NTL brightness change using VIIRS-DNB data. This study analyzed the spatial distribution and change of NTL brightness between 2013 and 2016 using VIIRS-DNB data, and detected its spatial relation with possible influencing factors using regression models. The intra-year seasonality of NTL brightness in 2016 was also studied by analyzing the deviation and change clusters, as well as the influencing factors. Results are as follows: 1) The higher value of NTL brightness in 2013 and 2016 is concentrated in Seoul and its surrounding cities, which positively correlated with population density and residential areas, economic land use, and other factors; 2) There is a decreasing trend of NTL brightness from 2013 to 2016, which is obvious in Seoul, with the change of population density and area of industrial buildings as the main influencing factors; 3) Areas in Seoul, and some surrounding areas have high deviation of the intra-year NTL brightness, and 71% of the total areas have their highest NTL brightness in January, February, October, November and December; and 4) Change of NTL brightness between summer and winter demonstrated a significantly positive relation with snow cover area change, and a slightly and significantly negative relation with albedo change.