- MiCorps Brochure
- Volunteer Stream Monitoring Program (VSMP) Brochure (tri-fold style for 8.5 x 11 paper)
- Cooperative Lakes Monitoring Program (CLMP) Brochure (tri-fold style for 8.5 x 11 paper)
MiCorps Annual Program Reports
- MiCorps 5-year Report (2010-2014)
- October 2012 – September 2013
- October 2011 – September 2012
- October 2010 – September 2011
- October 2009 – September 2010
- MiCorps 5-year Report (2004-2009)
While no longer in publication, the MiCorps Monitor newsletter facilitated the exchange of information and ideas among volunteer monitoring program leaders, volunteers, and resource professionals on volunteer monitoring issues specific to Michigan.
Related Publications and Studies
- Integrating freshwater science and local management through volunteer monitoring partnerships: the Michigan Clean Water Corps, J.A. Latimore and P.J. Steen, Freshwater Science, Vol. 33, No. 2 (June 2014), pp. 686-692.
- Monitoring and Predicting Concentrations of Cyanobacterial Toxins in Michigan Lakes, O. Sarnelle and H. Wandell, 2008.
This is the final project report on MiCorps’ Cooperative Lakes Monitoring Program (CLMP) “Harmful Algae” study. Many CLMP volunteers contributed to this project by collecting extra water samples from their lakes in 2006.
- Importance of Quality Assurance Planning for Long-Term Monitoring Programs, Jo Latimore and Ric Lawson, Water Resources IMPACT, September 2007.
- Predicting Water Clarity Overview: Lake Water-Clarity Assessment for Michigan Inland Lakes, U.S. Geological Survey.
The U.S. Geological Survey (USGS) is cooperating with MiCorps’ Cooperative Lakes Monitoring Program (CLMP) and the Michigan Department of Environmental Quality (MDEQ) to use satellite remote sensing data to predict water quality in inland lakes across Michigan. By relating the satellite data to real data collected by MiCorps volunteers and professional limnologists, USGS can predict water quality in lakes for which little information is available.
- Predicting Lake Trophic State by Relating Secchi-Disk Transparency Measurements to Landsat-Satellite Imagery for Michigan Inland Lakes, 2003-05 and 2007-08, USGS Scientific Investigations Report, L.M. Fuller, R.S. Jodoin, and R.J. Minnerick, 2011.
- Predicting Water Quality by Relating Secchi-Disk Transparency and Chlorophyll a Measurements to Satellite Imagery for Michigan Inland Lakes, USGS Scientific Investigations Report, L.M Fuller, S.S. Aichele, and R.J. Minnerick, 2002.
- Download the 2017 USGS Satelline Remote Sensing Project Fact Sheet