Under the supervision of the Principal Investigator, use well-established techniques to develop Earth Science Data Records in support of pre-mission planning for the proposed U.S.-French Surface Water and Ocean Topography satellite mission, with responsibilities including, but not limited to: a) develop time series of surface water surface extent over lakes and reservoirs using MODIS and/or other satellite imagery; b) create hypsometric relationships between areal extent estimates and current and past satellite radar altimetry data; c) extend time series using hypsometric relationships, d) calculate volume change time series based on hypsometric relationships, altimetry, and imagery, e) manage communications between UCLA project management and partners at the University of Maryland, the Ohio State University, Princeton University, and NASA program scientists and program managers; and f) perform reporting as required by the project sponsor.
- Remote sensing processing experience specific to land cover classification and vegetation indices.
- Experience with Geospatial Information Systems (GIS).
- Experience with managing large data sets and interpreting multiple data formats, such as HDF and netCDF.
- Knowledge of Fortran and Python programming languages and ability to write new code and work with legacy code.
- Strong background in mathematics, statistics, and/or image processing.
- Excellent oral and written communication skills to communicate effectively and professionally with people at multiple institutions.
- Skilled in writing legibly, concisely, and grammatically correct English.
- Experience with Linux operating environments.
- M.S. Degree in Engineering or Geography or related field, or an equivalent combination of education and experience.
- Ability to work evening and weekend hours as needed.
Project website: http://hydro.ucla.edu/
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