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NASA 3D Models: CloudSat
Launched in April 2006, CloudSat monitors the state of the Earth’s atmosphere and weather with a sophisticated radar system. The instrument, jointly developed with the Canadian Space Agency, can predict which clouds produce rain, observe snowfall, and monitor the moisture content of clouds.
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NASA 3D Models: CALIPSO
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The Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) satellite provides new insight into the role that clouds and atmospheric aerosols (airborne particles) play in regulating Earth's weather, climate, and air quality.
NASA 3D Models: ICESat
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ICESat (Ice, Cloud, and land Elevation Satellite) is the benchmark Earth Observing System mission for measuring ice sheet mass balance, cloud and aerosol heights, as well as land topography and vegetation characteristics.
NASA 3D Models: Aura
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Aura observes the chemical content of the atmosphere to track the state of the ozone layer and the dispersion of airborne pollution.
NASA 3D Models: Aeronomy of Ice
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AIM is a two-year mission to study Polar Mesospheric Clouds (PMCs), the Earth's highest clouds, which form an icy membrane 50 miles (80.4 km) above the surface at the edge of space.
NASA 3D Models: Jason 1
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Jason 1 is an oceanography mission to monitor global ocean circulation, study the ties between the oceans and atmosphere, improve global climate forecasts and predictions, and monitor events.
Onboard Detection of Snow, Ice, Clouds, and Other Processes
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The detection of clouds within a satellite image is essential for retrieving surface geophysical parameters from optical and thermal imagery. Even a small percentage of cloud cover within a radiometer pixel can adversely affect the determination of surface variables such as albedo and temperature. Thus, onboard processing of satellite data requires reliable automated cloud detection algorithms that are applicable to a wide range of surface types. Unfortunately cloud-detection, particularly over snow- and ice-covered surfaces, is a problem that plagues the field of remote sensing because of the lack of spectral contrast. This paper discusses preliminary results based on kernel methods for unsupervised discovery of snow, ice, clouds, and other geophysical processes based on data from the MODIS instrument and discusses implementation in computationally constrained environments such as those found on satellites.
NASA 3D Models: TRMM
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The Tropical Rainfall Measuring Mission (TRMM) is a joint mission between NASA and the Japan Aerospace Exploration Agency (JAXA) designed to monitor and study tropical rainfall.
기상청 낙뢰분포도 조회서비스
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기상청에서 운영하는 낙뢰분포 이미지 정보 등을 조회할 수 있는 서비스
NASA 3D Models: Magellan
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Model of the Magellan spacecraft.