Satellite Program(위성 프로그램)란 무엇입니까?
Satellite Program 위성 프로그램 - Increased linkages between satellite programs are also made possible through an expectation of future mission continuity, such as developing a virtual constellation with Sentinel-2. [1] Originally inspired by the imaging needs of UND’s Open Prototype for Educational Nanosats (OPEN) satellite program. [2] Therefore, assessing possible satellite failures that might occur during its operational life and taking precautions in the design phase is very critical for satellite programs. [3] The integration of a tsunami alerting system, like the one offered by the Global Disaster Alert and Coordination System (GDACS), can be highly beneficial in a SEM mechanism for streamlining and accelerating the satellite programming task and for generating first damage estimates. [4]Sentinel-2로 가상 성좌를 개발하는 등 미래 임무 연속성을 기대함으로써 위성 프로그램 간의 연계성을 높이는 것도 가능합니다. [1] 원래 UND의 OPEN(교육용 나노위성용 개방형 프로토타입) 위성 프로그램의 이미징 요구 사항에서 영감을 받았습니다. [2] 따라서 운용 수명 동안 발생할 수 있는 가능한 위성 고장을 평가하고 설계 단계에서 예방 조치를 취하는 것은 위성 프로그램에 매우 중요합니다. [3] GDACS(Global Disaster Alert and Coordination System)에서 제공하는 것과 같은 쓰나미 경보 시스템의 통합은 SEM 메커니즘에서 위성 프로그래밍 작업을 간소화 및 가속화하고 첫 번째 피해 추정치를 생성하는 데 매우 유용할 수 있습니다. [4]
nighttime light imagery 야간 조명 이미지
To improve classification accuracy of landslides, we integrate nighttime light imagery from the Defense Meteorological Satellite Program (DMSP) and the Visible Infrared Imaging Radiometer Suite (VIIRS), with multi-seasonal daytime optical Landsat time-series, and digital elevation data from the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER). [1] Moreover, nighttime light imagery from the Defense Meteorological Satellite Program Operational Linescan System, socioeconomic data, and high-resolution satellite images were combined to comprehensively explore the driving factors of urban artificial lighting change. [2] Addressing this gap, this study firstly estimated CO2 emissions of cities in China using Defense Meteorological Satellite Program’s Operational Linescan System (DMSP-OLS) nighttime light imagery. [3] This paper utilizes the Defense Meteorological Satellite Program Operational Linescan System (DMSP/OLS) sensor nighttime light imagery to identify poor counties in China from 1992 to 2013. [4] In order to avoid the inconsistency between regional, provincial, and city-level data, city-level CO2 emissions from energy consumption in China were estimated through Defense Meteorological Satellite Program/Operational Linescan System nighttime light imagery. [5] There is little information available about city-level energy consumption and CO2 emissions; thus, we employ spatiotemporal modeling using Defense Meteorological Satellite Program/Operational Line-scan System (DMSP/OLS) nighttime light imagery. [6]산사태의 분류 정확도를 개선하기 위해 DMSP(Defense Meteorological Satellite Program) 및 VIIRS(Visible Infrared Imaging Radiometer Suite)의 야간 조명 이미지를 다중 계절 주간 광학 Landsat 시계열 및 Advanced의 디지털 고도 데이터와 통합합니다. 우주선 열 방출 및 반사 복사계(ASTER). [1] 또한 국방기상위성사업 운영라인스캔시스템의 야간조명영상과 사회경제적 자료, 고해상도 위성영상을 결합하여 도시 인공조명 변화의 원동력을 종합적으로 탐색하였다. [2] nan [3] nan [4] nan [5] nan [6]
night time light 야간 조명
In this study, the population density remote sensing mapping approach was developed using population records in 2013 and Defense Meteorological Satellite Program’s Operational Linescan System (DMSP/OLS) night-time light (NTL) image of the same year for defining the coastal densest resident areas in Pearl River Estuary (PRE), China. [1] Night-time light (NTL) data from the Defense Meteorological Satellite Program (DMSP) Operation Linescan System (OLS) provide important observations of human activities; however, DMSP-OLS NTL data suffer from problems such as saturation and blooming. [2] The Defense Meteorological Satellite Program Optical Linescan System (DMSP-OLS) night-time light datasets provided consistent and valuable data sources for investigating urbanization processes. [3] This chapter investigates how night-time light images acquired from the Defense Meteorological Satellite Program’s Operational Linescan System provide spatial and temporal insight into the economic impact of the disintegration of Yugoslavia. [4] In the present study, annual composites of temporal defense meteorological satellite program/operational line-scan system night time light (NTL) imagery is used as a proxy measure for estimating electrification of India. [5]본 연구에서는 2013년 인구기록과 국방기상위성사업의 DMSP/OLS(Operational Linescan System) NTL(Night-Time Light) 영상을 이용하여 인구밀도 원격탐사 매핑 접근법을 개발하여 해안에서 가장 밀집된 거주지역을 정의하였다. 중국 주강 하구(PRE)에서. [1] 국방 기상 위성 프로그램(DMSP) OLS(Operation Linescan System)의 야간 조명(NTL) 데이터는 인간 활동에 대한 중요한 관측을 제공합니다. 그러나 DMSP-OLS NTL 데이터는 포화 및 블루밍과 같은 문제가 있습니다. [2] nan [3] nan [4] nan [5]
Meteorological Satellite Program 기상위성 프로그램
In this paper, DMSP-OLS (the Defence Meteorological Satellite Program/Operational Linescan Program) datasets have been used to assess the urban straggle of Australian Capital Territory (ACT) and to delineate the urban extent from 1992 to 2012, at an interval of 3 years. [1] In this study, the population density remote sensing mapping approach was developed using population records in 2013 and Defense Meteorological Satellite Program’s Operational Linescan System (DMSP/OLS) night-time light (NTL) image of the same year for defining the coastal densest resident areas in Pearl River Estuary (PRE), China. [2] Based on the Defense Meteorological Satellite Program-Operational Linescan System (DMSP-OLS) nighttime light data and panel model, this study attempts to estimate the cargo handling capacity of 28 coastal ports in China using satellite remote sensing. [3] Nighttime light (NTL) data from the Defense Meteorological Satellite Program/Operational Linescan System (DMSP/OLS) provide information on nighttime luminosity, a correlation of built environment and energy consumption. [4] This study integrated two nighttime light datasets: the Defense Meteorological Satellite Program’s Operational Linescan System (DMSP-OLS) nighttime light images and the Suomi National Polar-orbiting Partnership (NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) composite data to improve on estimates of urban residential CO2 emissions from 2000 to 2015 at 1 km resolution. [5] The nighttime light images acquired by the Defense Meteorological Satellite Program Operational Linescan System (DMSP/OLS) and the Suomi National Polar-orbiting Partnership satellite’s Visible Infrared Imaging Radiometer Suite (NPP/VIIRS) can reflect the comprehensive information of human activities. [6] Nighttime stable light (NSL) data from the Defense Meteorological Satellite Program Operational Linescan System (DMSP-OLS) have the potential to model global 1-km gridded EPC. [7] To improve classification accuracy of landslides, we integrate nighttime light imagery from the Defense Meteorological Satellite Program (DMSP) and the Visible Infrared Imaging Radiometer Suite (VIIRS), with multi-seasonal daytime optical Landsat time-series, and digital elevation data from the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER). [8] In this paper, interhemispheric conjugate effect in longitude variations of mid-latitude total ion density (N i ) is presented, for the first time, using the Defense Meteorological Satellite Program (DMSP) measurements; northern and southern N i longitude variations at 21:30 LT are similar between magnetically conjugate mid-latitudes around solar minimum June Solstice of 1996. [9] We use time series nighttime light images collected by the defense meteorological satellite program-operational linescan system sensors as a proxy data source for human activities (HAs). [10] We examine global features of the large‐scale plasma depletion by using a combination of ground‐based and space‐borne measurements—ground‐based Global Positioning System/Global Navigation Satellite System (GPS/GNSS) networks, Constellation Observing System for Meteorology, Ionosphere, and Climate (COSMIC) GPS Radio Occultation (RO), Swarm upward looking GPS data, and in situ plasma density observations provided by Swarm, Communications/Navigation Outage Forecasting System (C/NOFS), and Defense Meteorological Satellite Program (DMSP) missions. [11] Defense Meteorological Satellite Program/Operational Linescan System (DMSP/OLS) and Suomi National Polar-Orbiting Partnership Visible Infrared Imaging Radiometer Suite (NPP/VIIRS) nighttime light data are the two most commonly used indicators of gross domestic product (GDP) estimation. [12] Moreover, nighttime light imagery from the Defense Meteorological Satellite Program Operational Linescan System, socioeconomic data, and high-resolution satellite images were combined to comprehensively explore the driving factors of urban artificial lighting change. [13] We investigate multi-scale ionospheric responses to the May 27, 2017, geomagnetic storm over the Asian sector by using multi-instrumental observations, including ground-based global navigation satellite systems (GNSS) network, constellation observing system for meteorology, ionosphere and climate radio occultation, the FengYun-3C (FY-3C) GNSS occultation sounder electron density profiles and in situ plasma density observations provided by both Swarm and defense meteorological satellite program missions. [14] Addressing this gap, this study firstly estimated CO2 emissions of cities in China using Defense Meteorological Satellite Program’s Operational Linescan System (DMSP-OLS) nighttime light imagery. [15] The Defense Meteorological Satellite Program/Operational Linescan System (DMSP/OLS) night-time stable light (NTL) data have proven to be an effective indicator of the intensity and change of human-induced urban development over a long time span and at a larger spatial scale. [16] This paper utilizes the Defense Meteorological Satellite Program Operational Linescan System (DMSP/OLS) sensor nighttime light imagery to identify poor counties in China from 1992 to 2013. [17] En la decada de los setenta, con el comienzo del Programa de satelites meteorologicos de defensa (Defense Meteorological Satellite Program, DMSP), naciendo las imagenes de luces nocturnas que proporcionan un nuevo metodo para la extraccion de areas urbanizadas. [18] In this study, we undertake such a validation using in situ electron density observations from the Defense Meteorological Satellite Program (DMSP) constellation of satellites and the Challenging Mini-satellite Payload (CHAMP) mission. [19] Over the past decades, scientists have proposed many methods for estimating human activity on the Earth’s surface at various spatiotemporal scales using Defense Meteorological Satellite Program Operational Line System (DMSP-OLS) nighttime light (NTL) data. [20] This study uses the nighttime light (NTL) data from the Defense Meteorological Satellite Program's Operational Linescan System (DMSP/OLS) to examine human settlement development in areas with different levels of hurricane proneness from 1992 to 2013. [21] In response to CO2 emissions reduction in China, this study integrated the Defense Meteorological Satellite Program's Operational Linescan System (DMSP-OLS) stable nighttime light (SNL) data and Suomi National Polar-orbiting Partnership (NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) composite data, and established the integrated nighttime light datasets from 1992 to 2016. [22] In order to avoid the inconsistency between regional, provincial, and city-level data, city-level CO2 emissions from energy consumption in China were estimated through Defense Meteorological Satellite Program/Operational Linescan System nighttime light imagery. [23] Previous approaches for detecting nighttime light mainly used the traditional data source released by the Defense Meteorological Satellite Program Operational Linescan System (DMSP/OLS), but its coarse spatial resolution and limited radiometric resolution dramatically hamper prompt detection. [24] With the increased availability and use of the Defense Meteorological Satellite Program Operational Linescan System (DMSP-OLS) and data in social science, it has played an important role in data collection, including measuring human development and economic growth. [25] Night-time light (NTL) data from the Defense Meteorological Satellite Program (DMSP) Operation Linescan System (OLS) provide important observations of human activities; however, DMSP-OLS NTL data suffer from problems such as saturation and blooming. [26] In the past, the Defense Meteorological Satellite Program—Operational Linescan System (DSMP/OLS) data have been successfully adjusted based on the presence of vegetation in each pixel. [27] The Defense Meteorological Satellite Program Optical Linescan System (DMSP-OLS) night-time light datasets provided consistent and valuable data sources for investigating urbanization processes. [28] This chapter investigates how night-time light images acquired from the Defense Meteorological Satellite Program’s Operational Linescan System provide spatial and temporal insight into the economic impact of the disintegration of Yugoslavia. [29] In the present paper, analyses are carried out on a panel of 17 Eastern Europe and CIS countries for the period 2000-2013 and use is made of indicators constructed from satellite images in the form of night lights, as processed by the US Department of Defense, and its Defense Meteorological Satellite Program’s OperationalLinescan System. [30] We present three STEVE (strong thermal emission velocity enhancement) events in conjunction with Time History of Events and Macroscale Interactions (THEMIS) in the magnetosphere and Defense Meteorological Satellite Program (DMSP) and Swarm in the ionosphere, for determining equatorial and interhemispheric signatures of the STEVE purple/mauve arc and picket fence. [31] Multi-Low Earth orbit (LEO) missions, like the Defense Meteorological Satellite Program (DMSP) F13 and F15, the Gravity Recovery and Climate Experiment (GRACE) and the Challenging Mini-satellite Payload (CHAMP) satellites are used to study the preferable conditions for the occurrence of plasma bubbles and blobs. [32] In this study, we developed a total nighttime brightness index (TotalNTBI) to measure the NTLEs with the defense meteorological satellite program/operational linescan system (DMSP/OLS) nighttime light data enhanced by sharpening the edges of the pixels. [33] The experiment for blending of precipitation product was performed using rain rate product of three satellites and sensors, namely GMI of GPM core observatory, special sensor microwave imager/sounder (SSMI/S) of the Defense Meteorological Satellite Program (DMSP) F16 and microwave humidity sounder (MHS) of NOAA-18. [34] However, uncertainties in remotely sensed data, such as the saturation problem of the Defense Meteorological Satellite Program/Operational Linescan System (DMSP/OLS) NSL (nighttime stable lights) data, may influence the accuracy of this remote sensing-based method, and thus hinder its use. [35] Various scientific researches were conducted to monitor human activities and natural phenomena with the availability of various night time satellite data such as Defense Meteorological Satellite Program (DMPS). [36] From a geospatial perspective, and based on continuous annual night light data (Defense Meteorological Satellite Program-Operational Linescan System, DMSP-OLS) from 1992 to 2012, this paper conducts a multi-scale comparative analysis of urban development differences between China and India by employing various approaches such as the Gini coefficient, Getis–Ord Gi* index, and the Urban Expansion Intensity Index (UEII). [37] We also find through calibration against flared gas quantities derived from the Defence Meteorological Satellite Programme (DMSP) satellites, that ~131 billion cubic metres of natural gas has been flared globally between May 2017 and May 2018. [38] It covers the time period from October 1978 to December 2015 including all available data from the SMMR radiometer aboard Nimbus-7 and all SSM/I and SSMIS radiometers aboard the Defense Meteorological Satellite Program (DMSP) platforms. [39] difference in energy efficiency levels among cities in the same region, in the Chinese provincial context, by employing a novel method using nighttime lighting data from Defense Meteorological Satellite Program's Operational Linescan System (DMSP/OLS) to measure the spatial structure of provinces and Stochastic Frontier Approach (SFA) to evaluate the total-factor energy efficiency. [40] This special issue focuses on studies which used newer sensors than the Defense Meteorological Satellite Program - Operational Line-Scan System (DMSP/OLS). [41] To evaluate these two factors comprehensively, we present a statistical survey of over 2000 surface charging events recorded by Defense Meteorological Satellite Program (DMSP) satellites over one solar cycle. [42] This paper studies the relationship between industrial types and CO2 emissions based on DMSP-OLS (Defense Meteorological Satellite Program’s Operational Linescan System) nighttime light data in different cities and the urban carbon emissions are estimated and spatialized. [43] This study is conducted using 2012 and 2013 earth observation (night light imaginary from Defence Meteorological Satellite Program (DMSP; yearly basis) and visible infrared imaging radiometer suite (VIIRS; seasonal basis) satellite programmes) and statistical data associated with the touristic activity (total nights spent) on a country level (NUTS 0). [44] The simulated ion drift velocity and auroral electron precipitation sampled along the trajectory of the Defense Meteorological Satellite Program F18 satellite are in good agreement with the satellite measurements. [45] Our main aim is to provide direct observational evidence verifying that the Defense Meteorological Satellite Program F15 detected quiet-time ASAID/ASAPS features developed due to the formation of a magnetospheric cold plasma ripple-hot ring current interface. [46] To grasp the evolutionary characteristics and regularity of urban land expansion patterns in the Poyang Lake Ecological Economic Zone, this study, based on nighttime lighting data, uses the Landsat series satellite simultaneous data and cluster analysis to correct the Defense Meteorological Satellite Program–Operational Linescan System (DMSP-OLS) nighttime lighting data and then uses the auxiliary data-based comparison method to determine the threshold for extracting the urban built-up area. [47] In the present study, annual composites of temporal defense meteorological satellite program/operational line-scan system night time light (NTL) imagery is used as a proxy measure for estimating electrification of India. [48] Abbreviations: NTL: Nighttime light; DMSP: Defense Meteorological Satellite Program; OLS: Operational Linescan System; NPP: National Polar-orbiting Partnership; VIIRS: Visible Infrared Imaging Radiometer Suite; NOAA: The National Oceanic and Atmospheric Administration; NGDC: The National Geophysical Data Center; NCV: Normalized coefficient of variation; DN: Digital number. [49] The AMPERE R1–R2 boundaries are compared to the Defense Meteorological Satellite Program Special Sensor J (DMSP SSJ) electron energy flux boundaries to test this hypothesis and determine the best estimate of the systematic offset between the R1–R2 boundary and the OCB as a function of magnetic local time. [50]이 논문에서 DMSP-OLS(Defense Meteorological Satellite Program/Operational Linescan Program) 데이터 세트는 ACT(Australian Capital Territory)의 도시 낙오자를 평가하고 1992년부터 2012년까지 3의 간격으로 도시 범위를 묘사하는 데 사용되었습니다. 연령. [1] 본 연구에서는 2013년 인구기록과 국방기상위성사업의 DMSP/OLS(Operational Linescan System) NTL(Night-Time Light) 영상을 이용하여 인구밀도 원격탐사 매핑 접근법을 개발하여 해안에서 가장 밀집된 거주지역을 정의하였다. 중국 주강 하구(PRE)에서. [2] nan [3] nan [4] nan [5] DMSP/OLS(Defense Meteorological Satellite Program Operational Linescan System)와 Suomi National Polar-orbiting Partnership 위성의 Visible Infrared Imaging Radiometer Suite(NPP/VIIRS)에서 획득한 야간 조명 이미지는 인간 활동에 대한 포괄적인 정보를 반영할 수 있습니다. [6] DMSP-OLS(Defense Meteorological Satellite Program Operational Linescan System)의 야간 안정광(NSL) 데이터는 글로벌 1km 그리드 EPC를 모델링할 가능성이 있습니다. [7] 산사태의 분류 정확도를 개선하기 위해 DMSP(Defense Meteorological Satellite Program) 및 VIIRS(Visible Infrared Imaging Radiometer Suite)의 야간 조명 이미지를 다중 계절 주간 광학 Landsat 시계열 및 Advanced의 디지털 고도 데이터와 통합합니다. 우주선 열 방출 및 반사 복사계(ASTER). [8] nan [9] nan [10] nan [11] nan [12] 또한 국방기상위성사업 운영라인스캔시스템의 야간조명영상과 사회경제적 자료, 고해상도 위성영상을 결합하여 도시 인공조명 변화의 원동력을 종합적으로 탐색하였다. [13] nan [14] nan [15] nan [16] nan [17] nan [18] nan [19] nan [20] nan [21] nan [22] nan [23] nan [24] nan [25] 국방 기상 위성 프로그램(DMSP) OLS(Operation Linescan System)의 야간 조명(NTL) 데이터는 인간 활동에 대한 중요한 관측을 제공합니다. 그러나 DMSP-OLS NTL 데이터는 포화 및 블루밍과 같은 문제가 있습니다. [26] nan [27] nan [28] nan [29] nan [30] nan [31] nan [32] nan [33] nan [34] nan [35] nan [36] nan [37] nan [38] nan [39] nan [40] nan [41] nan [42] nan [43] nan [44] nan [45] nan [46] nan [47] nan [48] nan [49] nan [50]
Small Satellite Program 소형 위성 프로그램
This paper presents the measurement-derived parametric models for the system engineering analysis of communication, meteorology, planetary, and other small satellite programs with recourse to the initial mission, conceptual design, and postmission objectives. [1] In recent years, an increasing number of countries have shown a growing interest in developing their indigenous space capacity building through national small satellite programs. [2]이 논문은 초기 임무, 개념 설계 및 임무 후 목표에 의존하는 통신, 기상학, 행성 및 기타 소형 위성 프로그램의 시스템 엔지니어링 분석을 위한 측정 파생 매개변수 모델을 제시합니다. [1] 최근 몇 년 동안 점점 더 많은 국가들이 국가 소형 위성 프로그램을 통해 고유한 우주 역량 구축을 개발하는 데 점점 더 관심을 보이고 있습니다. [2]
10 Satellite Program 10 위성 프로그램
The SJ-10 satellite program consisted of 27 experiments including both fields of microgravity and space life sciences. [1] In this study, a project of the SJ-10 satellite programme, we investigated the gene expression profiles of both Rad9 −/− mESCs and Rad9 +/+ (wild-type) mESCs in space with a focus on genes critical for inducing, preventing, or repairing genomic DNA lesions. [2]SJ-10 위성 프로그램은 미중력 및 우주 생명 과학 분야를 모두 포함하여 27개의 실험으로 구성되었습니다. [1] SJ-10 위성 프로그램의 프로젝트인 이 연구에서 우리는 우주 공간에서 Rad9 -/- mESC와 Rad9 +/+(야생형) mESC의 유전자 발현 프로파일을 조사했습니다. , 또는 게놈 DNA 병변을 복구합니다. [2]
satellite program operational 위성 프로그램 운영
The nighttime light images acquired by the Defense Meteorological Satellite Program Operational Linescan System (DMSP/OLS) and the Suomi National Polar-orbiting Partnership satellite’s Visible Infrared Imaging Radiometer Suite (NPP/VIIRS) can reflect the comprehensive information of human activities. [1] Nighttime stable light (NSL) data from the Defense Meteorological Satellite Program Operational Linescan System (DMSP-OLS) have the potential to model global 1-km gridded EPC. [2] Moreover, nighttime light imagery from the Defense Meteorological Satellite Program Operational Linescan System, socioeconomic data, and high-resolution satellite images were combined to comprehensively explore the driving factors of urban artificial lighting change. [3] This paper utilizes the Defense Meteorological Satellite Program Operational Linescan System (DMSP/OLS) sensor nighttime light imagery to identify poor counties in China from 1992 to 2013. [4] Over the past decades, scientists have proposed many methods for estimating human activity on the Earth’s surface at various spatiotemporal scales using Defense Meteorological Satellite Program Operational Line System (DMSP-OLS) nighttime light (NTL) data. [5] Previous approaches for detecting nighttime light mainly used the traditional data source released by the Defense Meteorological Satellite Program Operational Linescan System (DMSP/OLS), but its coarse spatial resolution and limited radiometric resolution dramatically hamper prompt detection. [6] With the increased availability and use of the Defense Meteorological Satellite Program Operational Linescan System (DMSP-OLS) and data in social science, it has played an important role in data collection, including measuring human development and economic growth. [7] Nighttime data from the Defense Meteorological Satellite Program Operational Linescan System have been widely used to map urban/built-up areas (hereafter referred to as “built-up area”), but to date there has not been a geographically comprehensive evaluation of the effectiveness of using nighttime lights data to map urban areas. [8] This result can be combined with nighttime satellite imagery from Defense Meteorological Satellite Program Operational Linescan System (DMSP-OLS) to produce the map of sky brightness over Greater Bandung area. [9]DMSP/OLS(Defense Meteorological Satellite Program Operational Linescan System)와 Suomi National Polar-orbiting Partnership 위성의 Visible Infrared Imaging Radiometer Suite(NPP/VIIRS)에서 획득한 야간 조명 이미지는 인간 활동에 대한 포괄적인 정보를 반영할 수 있습니다. [1] DMSP-OLS(Defense Meteorological Satellite Program Operational Linescan System)의 야간 안정광(NSL) 데이터는 글로벌 1km 그리드 EPC를 모델링할 가능성이 있습니다. [2] 또한 국방기상위성사업 운영라인스캔시스템의 야간조명영상과 사회경제적 자료, 고해상도 위성영상을 결합하여 도시 인공조명 변화의 원동력을 종합적으로 탐색하였다. [3] nan [4] nan [5] nan [6] nan [7] nan [8] nan [9]