Presentation on theme: "Michigan MapImage Viewer A Low-Cost County GIS Michigan State University Center for Remote Sensing and GIS Presenter: Tracy Aichele."— Presentation transcript:
Michigan MapImage Viewer A Low-Cost County GIS Michigan State University Center for Remote Sensing and GIS Presenter: Tracy Aichele
What is GIS? A way to store and manage spatial data A way to produce maps A way to view the world
MapImage Viewer allows you to: View multiple map layers Zoom in and out Locate addresses, sections, features Create custom maps Add your own data Use aerial images (including LandScan)
Instant GIS RoadsAirports Topographic MapsRivers, Streams, Lakes 1978 Land UseNRCS Soils Landsat Satellite ImagesUSGS Rectified Photos Political BoundariesPLSS Sections Place NamesContamination Sites
Additional Features Extensible: add your own ESRI shapefiles Detailed help file Free technical support by phone or Free distribution Compatible with LandScan CD Low cost ($25 per county/CD)
Possible Scenarios Plan a trip to Mill Pond to study water quality issues Visit producers in the county Examine possible sites of environmental contamination View changes in land use
Scenario #1 Plan a trip to Mill Pond to study water quality issues Find Mill Pond. Turn on topo map, air photo backdrop. Open LandScan image and annotate. Turn on wetlands layer. Change section, wetland, and road symbology. Show map legend. Print your map.
Scenario #2 Visit producers in the county Locate addresses and store in point file.
Scenario #3 Possible Sites of Environmental Contamination What sites has DEQ identified as sites of environmental contamination in the Clam River watershed? Select all wetlands within 1 mile of a site and view records.
Scenario #4 View changes in land use Where has land use changed to urban in the last 20 years?
Data Downloads DNR – Spatial Data Library DEQ – Land and Water Management CRS – MapImage website and Census data MIC – Census 1990 and 2000 coming soon
Contacts MapImage Viewer Technical Support or Custom Features Tracy Aichele (517) Bill Enslin (517) Creating new datasets Jessica Moy (517)