This project aims to prepare a key component of a multi-sensor airborne system that can be used by the snow remote sensing community to collect snow datasets and enable future snow missions.
The international snow community believes a multi-sensor approach to snow remote sensing offers the best hope for accurate snow retrievals. However, the community does not have multi-sensor datasets to use to develop retrieval algorithms. A multi-sensor airborne snow suite used in a community airborne field campaign would be able to collect such datasets. This project will focus on preparing a key element of that sensor suite: a passive microwave imager operating at several wavelengths sensitive to snow. The goal of this project is to make ready NASA’s Airborne Earth Science Microwave Imaging Radiometer (AESMIR) for snow observations.More »
The Snow and Cold Land Processes (SCLP) mission was identified in the first Earth Science Decadal Survey as a mission that NASA should pursue. A multi-sensor mission concept requires risk reduction for each sensor type as well as among the various sensors. This project will provide a working copy of the passive microwave sensor for risk reduction activities including testing calibration techniques and science algorithm development.More »
|Organizations Performing Work||Role||Type||Location|
|Goddard Space Flight Center (GSFC)||Lead Organization||NASA Center||Greenbelt, MD|
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