![]() ![]() Qualified applicants should have made regular contributions to a research team with limited guidance and direction, have had demonstrated success in the development of new analysis techniques to solve challenging problems, made contributions to peer-reviewed proposals in response to technical solicitations, and have conveyed research results through peer-reviewed publications as part of their publication record. Potential applicants should have remote sensing expertise and experience developing and applying advanced tools, techniques, and / or data analysis / mining / machine learning approaches to observational datasets collected with optical, thermal, and / or microwave remote sensing measurement systems to solve complex Earth system problems. Remote sensing research and applications supporting NASA’s wildfire “FireSense” initiative ( ) with emphasis on pre-fire risk determination, active fire and smoke detection, and / or post-fire damage detection, flooding risk, and vegetation recovery activities. ![]() Research supporting land surface process studies and product development using hyperspectral and thermal remote sensing measurements and / or surface modeling techniques focused on NASA’s Freshwater initiative of the Earth Information System (EIS ) and / or science and applications associated with the Surface Biology and Geology (SBG) Earth Systems Observing (ESO) mission ( ).Specific emphasis will be on science and application product development and research portfolio coordination associated with remote sensing of air quality on a regional and global basis using available satellite measurements systems. Research supporting NASA’s SERVIR Coordination Office ( ) and coordination of its Applied Science Teams projects.The Earth Science Branch at NASA's Marshall Space Flight Center in Huntsville, Alabama plans to announce the availability of multiple positions for remote sensing scientists to conduct research and to develop applications from Earth observations to solve challenging Earth science problems. ![]()
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