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NASA's Applied Remote Sensing Training (ARSET) program teaches people to use Earth-observing data in their environmental management and decision-making.
At night, satellite images of Earth capture a uniquely human signal—artificial lighting. Remotely-sensed lights at night improve our understanding of interactions between human systems and the environment.
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BOREAS focused principally on radiation, biogeochemical, and chemical interactions between the boreal forest and troposphere through winter, summer, and transitional seasons.
The Canadian CloudSat/CALIPSO Validation Project (C3VP) used various ground-based and airborne instrumentation to thoroughly study cold season precipitation systems and therefore improve the modeling and remote sensing of snowfall.
CALIOP aerosol retrievals improve when constrained by external AOD sources, showing better agreement with independent HSRL airborne measurements.
The goal of CALIPSO-NVF was to conduct a series of nighttime underflights of the CALIPSO satellite with the NASA Langley High Spectral Resolution Lidar (HSRL-2).
NASA's Convection and Moisture Experiment 1 (CAMEX-1) was a NASA funded experiment designed to study the three-dimensional moisture fields using satellite, aircraft, and ground-based instrumentation and the multifrequency radiometric and lightning signatures of tropical convection.
NASA's Convection and Moisture Experiment 2 (CAMEX-2) was a NASA funded experiment designed to study three-dimensional moisture fields.
The Convection and Moisture Experiment 3 (CAMEX-3) studied tropical cyclone development, tracking, intensification, and landfalling impacts.
NASA's Convection and Moisture Experiment 4 (CAMEX-4) focused on the study of tropical cyclone (hurricane) development, tracking, intensification, and landfalling impacts.
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