Resource Management Mapping Service (RMMS)

The Resource Management Mapping Service (RMMS) utilizes a wide range of coordinated natural resource related databases to provide an online, interactive mapping environment that is designed to help government agencies, non-governmental organizations, and the public evaluate and manage geographically-based information about Illinois’ natural resources, particularly water resources, so that they can more effectively develop and implement appropriate resource protection and enhancement measures.

For example, the Illinois Environmental Protection Agency (Illinois EPA) uses RMMS to track individual best management practices (BMP) implemented in Illinois with funding under Section 319 of the Clean Water Act, Illinois Green Infrastructure Grant Program, and other nonpoint source (NPS) pollution control grant programs. The information about individual BMPs tracked through RMMS includes the type of BMP, completion date, size of the BMP measured in acres, feet, or numbers; location of the BMP; and pollutant load reductions associated with the BMP. RMMS is also used by Illinois EPA to track the development and implementation of watershed based plans in Illinois. These data, and the reports that can be generated on these data through RMMS tools, are used by Illinois EPA to assist in managing both individual grant projects and Illinois overall NPS pollution control program.

The RMMS website also contains tools (requiring a login/password for access) for direct data entry of specific databases. These databases are only available at the RMMS website. Specific IEPA layers are available for extraction and download.

Continuing development of RMMS is provided at the University of Illinois CIGI Lab with support from the Illinois EPA and other state agencies as well as match funds from the University of Illinois.

Current Release


  • ArcGIS Server, ArcSDE, WebADF, ASP.NET, C#, SQL server, IIS

Project Team: Dan Dong, Hao Hu, Myunghwa Hwang, Anand Padmanabhan, Connie Park, Kiumars Soltani, Shaowen Wang and Carolyn White