Title:
Remote Sensing Scientist
KBR is seeking a curious, talented, and motivated Remote Sensing Scientist to join its satellite-derived science products research and operations team in Sioux Falls, South Dakota. KBR, headquartered in Houston Texas, is the primary contractor to the U.S. Geological Survey (USGS) for performing work at the Earth Resources Observation and Science (EROS) Center (http://eros.usgs.gov/) near Sioux Falls, SD (http://www.siouxfalls.org). Sioux Falls residents enjoy small town friendliness in a big town atmosphere, year-long outdoor recreation, professional sports and entertainment events, and no state income tax.
Education: MSc in Geography, Remote Sensing, or related field
Experience: 0-10 years
Job Description
The USGS EROS Land Satellites Data System (LSDS) Science Research and Development (LSRD) project is seeking to grow its science team to support the development of satellite-based information products. These products are intended to provide an authoritative basis for regional to continental scale identification of historical land change, monitoring current land conditions, and helping to project future land cover scenarios so that the impact of such land changes can be understood and used to help inform strategies for adaptation and mitigation. The LSRD Remote Sensing Scientist catalyzes a versatile and talented team of engineers, scientists and communications specialists by helping develop new remote sensing algorithms from translation and integration of research code, through initial product characterization and verification, to provisional production and ultimately into a sustainable operational environment. The scope of work includes developing an understanding of new Landsat-derived Science Products such as U.S. Analysis Ready Data (i.e., Surface Reflectance and Surface Temperature), Burned Area, Dynamic Surface Water Extent, and Fractional Snow Covered Area as well as of algorithms under investigation that include but are not limited to; atmospheric correction, aquatic reflectance, water constituents, evapotranspiration, and Sentinel-2 surface reflectance. The LSRD Remote Sensing Scientist will have a major role in determining the readiness of available Landsat-derived Science Products during periodic software releases by performing general quality evaluations, analyzing the impacts of algorithm changes and confirming their success. This position also engages the remote sensing science user community by providing product and interface documentation, managing project online content and serving as a third tier User Services contact to support advanced user technical questions. Publication and presentation of product characterization and research results is expected to help promote use and acceptance of the products in the land remote sensing community.
Responsibilities:
- Support the LSRD Task Lead, Project Technical Leads, Development Team, Communications and Outreach, and User Services by providing technical science expertise to the project
- Use image processing software to analyze the specifications of new products and determine whether their results are reasonable and expected
- Investigate apparent data anomalies or uncertainties via literature research and image processing to determine and document causes and effects
- Identify and document the characteristics of new products and provide relevant information in associated Product Guides, online content, and publications
- Maintain Product User Guides for product access portals such as the EROS Science Processing Architecture (ESPA) On-Demand Interface
- Evaluate and design strategies for automated verification of Landsat-derived Science Products
- Assist USGS Scientists in composing and publishing Algorithm Description Documents
- Maintain a master test scene database for use as a baseline against all software releases
- Perform science evaluation on the master test scene database every two months to verify that algorithm and system changes do not adversely affect current product generation
- Gain and expand product knowledge such that user questions can be adequately addressed
- Present project information at conferences as opportunities are available
Requirements:
- Understanding of basic land remote sensing derivatives and applications
- Competency with image processing software, such as but not limited to ENVI, ERDAS Imagine, ArcGIS, Adobe Geographic Imager
- Excellent problem-solving skills needed to comprehensively analyze unknowns
- Interest in data quality assurance - Strong attention to organization, detail and record keeping
- Ability to communicate regularly, professionally, and clearly at general, technical and management levels to inform team members, other EROS personnel and the land remote sensing science community
- Excellent written and oral communication skills, including effective questioning, listening, and presentation skills
- Minimum 3-years residence in the U.S.
Desired Skills:
- Experience in software or code analysis to understand how algorithms calculate the results under evaluation
- U.S. Citizenship
- The candidate must be able to obtain and maintain a national agency check and background investigation after hire to obtain a badge for facility access and user accounts.
Scheduled Weekly Hours: 40
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