Remote Sensing Scientist - Vegetation Mapping - Military veterans preferred

Kellogg Brown & Root (


  full-time   employee

Sioux Falls
South Dakota
United States


Remote Sensing Scientist - Vegetation Mapping

KBR is seeking a Scientist to join its talented 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 ( near Sioux Falls, SD. ( at ) NOTE : This assignment is approved for remote work locations in addition to the EROS facility in Sioux Falls, SD.

The primary focus of this position is to process and manipulate spatially referenced data and Landsat imagery and/or lidar to map vegetation type, cover and height for the United States. The successful candidate will participate as a member of the USGS EROS Center’s Landscape Fire and Resource Management Planning Tools ( LANDFIRE ) Team. An advanced level of computer proficiency is required as well as demonstrated initiative and the ability to self-teach in areas of weakness utilizing available on-the-job training resources. The primary duties associated with this position are processing raster and vector data to assist in the creation of LANDFIRE existing vegetation products. Specific duties include:

  • Contributes to the definition, direction, and implementation of the LANDFIRE Program
  • Provides technical support and performs data production to support program objectives
  • Works in team environment to develop creative solutions to help shape, manage and execute projects applying GIS and remote sensing data and software to geospatial problems and to meet the objectives of medium to large land cover mapping projects
  • Collaborate with team members to define and implement quality assurance elements of medium to large land cover mapping projects
  • Analyze image data primarily acquired from Landsat, using statistical analysis software, image analysis software, or Geographic Information Systems (GIS) such as ArcGIS, ERDAS, ENVI, GDAL and Python
  • Evaluate and analyze data obtained from remote sensing systems to obtain meaningful results
  • Process satellite imagery to create products such as land cover maps, Existing Vegetation Type, Existing Vegetation Cover and Existing Vegetation Height using automated, semi-automated and/or manual interpretation techniques
  • Develop or build databases for remote sensing or related geospatial project information
  • Monitor quality of remote sensing data collection operations to determine if procedural or equipment changes are necessary. Investigates, interprets, and evaluates requirements and recommends solutions
  • Documents and develops results from both basic and applied scientific and technical research for use in technical reports and papers.

Scheduled Weekly Hours:


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