Located on the campus of Michigan State University, RS&GIS is uniquely positioned to provide geospatial solutions to a diverse set of clients, which include municipalities, State and Federal agencies, private firms, not-for-profits, and academic departments and institutions. Our super power is the breadth of our experience across numerous industries where we focus on small, medium and large data development projects, database and system architecture, Enterprise GIS solutions, custom web mapping applications, cutting-edge research, and applied geospatial training. Our clients come from a variety of industries, including agriculture, engineering, transportation, natural resources and the environment, health care, planning, and more.
GIS Data Development
GIS Processing and Modeling
System and Database Architecture
Web Mapping Application Development
ArcGIS Online and Enterprise GIS
Graphic Design
RS&GIS partnered with RMS Titanic, Inc. to transform sonar data and geograhic coordinates into data products, including site bathymetry and a visual artifact catalog. Much of this work was featured on the documentary Drain the Titanic, which was featured on NatGeo and the Discovery Channel. Watch the documentary here!
RS&GIS conducted a tree inventory for the City of Monroe using mobile LiDAR and field-based collection. The resulting dataset, which was organized into a geodatabase, generated unprecedented tree measurement accuracy.
RS&GIS worked with Northern Michigan University and the MSU Department of Forestry to model woodsheds and wood products logistics and then present the resultant information in an investigative web mapping application.
RS&GIS mapped a severe flood event on the campus of Michigan State University using drone technology. Orthorectified drone imagery allowed RS&GIS to delineate flood boundaries very accurately. This data was paired with topographic data nd provided to the University engineer to be used for future development and planning.
To support the Ingham County Open Space and Agriculture Preservation program, RS&GIS built a multi-criteria geoprocessing model to score parcels. This allows the program to quickly prioritize parcel preservation.
In reaction to an outbreak of the forest pest, Hemlock Wooly Adelgid, RS&GIS created a multi-criteria geospatial model for the MSU Department of Entomology and the Michigan Department of Natural Resources that utilized topography, multi-spectral imagery and soils to identify the most likely locations of hemlock trees. The resultant data were provided to field workers, who were tasked with finding diseased areas.