Using Multi-temporal Imagery to Improve Mapping and Inventory of Forested Roads in Michigan's Upper Peninsula

The purpose of this cooperative project between the US Department of Agriculture Forest Service and the Michigan Tech Research Institute (MTRI) was to develop an updated and improved roads data layer for use in ecological analysis and planning.  Preliminary investigations of forested watersheds in Michigan’s Upper Peninsula by the project team had shown that as few as 14% of the roads in these watersheds had been captured by existing GIS layers. It is vital to understand the spatial locations of roads within a watershed since such features can increase stream temperature and non-point source pollution. These effects can potentially impact receiving features such as streams, lakes, and ponds (Weng, 2012; Jennings and Jarnagin, 2002; Opperman et al. 2005), and cause fish passage impairment (Gibson et al. 2005).

Through the use of multi-temporal imagery and ESRI ArcGIS software, the MTRI team digitized and quantified unidentified road features in four watersheds. As road segments were digitized, each was assigned a level of confidence that corresponded to how confident the analyst felt the linear segment was a road (i.e. High, Medium, or Low). Statistics concerning the total number of segments, total mileage, levels of confidence, and percent change between the two data sets were calculated. Analysis into potential watershed vulnerability based on the number and spatial location of road-stream intersections was also conducted.

The following maps are interactive. Please slide the black bar to view the original and updated road networks (Internet Explorer is not supported).









Fieldwork

Field site verifications were conducted to provide insight into what forested roads look like from the ground versus how they appear in aerial imagery and to verify the detection of potential hydrologically impacted wetlands. In areas that were heavily forested, an unmanned aerial vehicle was used to confirm the presence of a forested road feature.

Field Work Images

Wetland Assessment

In order to determine where potential hydrologic impacts may exist for future studies, an example wetland assessment was conducted. The MTRI-produced EPA Great Lakes Coastal Wetland data layer(Bourgeau-Chavez et al, 2015)(http://mtri.org/coastal_wetland_mapping.html) was used in conjunction with the updated roads layers to identify potentially impacted wetlands, determined by where an updated road segment was adjacent to or bisected a wetland. Both GIS-based automated and manual image interpretation methods were used to locate potentially impacted wetlands. Statistics concerning the area of wetlands potentially impacted by both the original and updated road networks were calculated.


Wetland Assessment Image

Land Class Table

At the conclusion on this project, MTRI added an additional 9,966 miles of road to the original road network. This increased the total road network mileage from 7,627 miles to 17,593 miles; a 130% increase. Additionally, the locations where a stream / river and a road segment intersected were also quantified due to the potential for non-point source pollution occurring at these locations. The original road network contained a total of 4,709 road-stream intersections. After the road network was updated, 4,497 road-stream intersections were added. This brought the total number of road-stream intersections to 9,206, a 95% increase. Through this project, the USDA Forest Service and other potential end users can gain access to an updated and improved road network GIS data layer that can be used to gain a better understanding of where potential watershed vulnerability is likely to occur. Furthermore, analyses similar to this can be performed for any US Forest Service districts in the United States, or any forested regions around the world where the current road network GIS data is limited and where access to aerial imagery is readily available.

Bourgeau-Chavez, L.L, Z.M Laubach, A.J. Landon, E.C. Banda, M.J. Battaglia, S.L. Endres, M.E. Miller, R. Macleod, and C.N. Brooks. 2015. Great Lakes Coastal Wetland Mapping, Chapter 15 in Advances in Wetland Mapping ed by. R. Tiner, V. Klemas, and M. Lang, CRC Press

Gibson, R.J., Haedrich, R.L., Wernerhein, M.C., 2005. Loss of Fish Habitat as a Consequence of Inappropriately Constructed Stream Crossings. Fisheries 30(1): 10-17.

Hawbaker, T.J. and Radeloff, V.C. 2004. Roads and Landscape Pattern in Northern Wisconsin Based on a Comparison of Four Road Data Sources. Conservation Biology. 18[5]: 1233-1244.

Jennings, David B., and S. Taylor Jarnagin. "Changes in anthropogenic impervious surfaces, precipitation and daily streamflow discharge: a historical perspective in a mid-Atlantic subwatershed." Landscape Ecology 17.5 (2002): 471-489.

Opperman, J.J., Lohse, K.A., Brooks, C., Kelly, N.M., Merenlender, A.M., 2005. Influence of land use on fine sediment in salmonid spawning gravels within the Russian River Basin, California. Canadian Journal of Fisheries and Aquatic Sciences 62: 2740-2751.

Weng, Q. 2012. "Remote sensing of impervious surfaces in the urban areas: Requirements, methods, and trends." Remote Sensing of Environment 117: 34-49.


For Additional Information

Colin Brooks
Senior Research Scientist
734.913.6858
cnbrooks@mtu.edu

David Banach
Assistant Research Scientist
734.994.7225
dmbanach@mtu.edu

Mark Fedora
USDA Forest Service
Ottawa National Forest
Supervisory Hydrologist
906.932.1330 ext 318
mfedora@fs.fed.us

Brule Watershed


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Ontonagon Watershed


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Black-Presque Isle Watershed


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Sturgeon Watershed


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