Partial Projects Directory

The following projects are just a few examples of current and past MGI projects. For more information, please contact us.

University of Southern Maine Telehealth Exploratory Study

Barn in Whitefield, Maine

This study supported the Maine Primary Care Association (MPCA), in association with the Cutler Institute, by using spatial analysis and Geographic Information Systems (GIS) tools to assess:

  • Current Telehealth coverage
  • Regions of Maine that would benefit the most from Telehealth services
  • Distribution of healthcare services in Maine

Read more here:

ATV Trail Mapping

Recreational riders on all-terrain vehicles

Students from the University of Maine at Presque Isle worked with major ATV clubs and ATV Maine to map, publish, and subsequently update ATV trails in Aroostook County, Maine.

For more information, contact

Ski Trail Mapping

Two snow skiers ski down a mountain slope

High school and college students have created an inventory of land conditions at a popular Maine ski resort, using mobile GIS.

Check out the student-produced video about this project, which brought together University of Maine at Farmington students and Foster Career and Technical Education Center students for a shared educational experience.

Ancient Cemeteries and Burial Site Mapping

UMaine at Presque Isle Professor Chunzeng Wang discusses mapping tools with students and community volunteers
Photo credit Telegraph Journal

Ground penetrating radar technology is used to assist local historical societies to detect and survey ancient cemeteries and unmarked burial sites in Maine and New Brunswick.

In addition, using GPS/GIS technologies, cemeteries have been mapped and GIS databases have been developed with funding from two Maine Economic Improvement Fund (MEIF) grants. Ten University of Maine at Presque Isle (UMPI) students, along with faculty, performed cemetery data collection and database development, as well as data online publication.One example is Fairmount Cemetery, see more here:

Native Bee Pollinators Spatial Ecology and Conservation Planning

Megachile oenotherae, a species of bee, rests on a flower.

This multi-disciplinary collaboration among the University of Maine, Maine Department of Transportation, Maine Department of Inland Fisheries and Wildlife, and the Cooperative Fish and Wildlife Research Unit of the United States Geological Survey seeks to understand landscape factors affecting diversity and abundance of native bees in Maine.

See more here:

Monarch Butterfly Stopover Location Modeling

monarch butterfly

Spatially-explicit predictive models of monarch butterfly fall migration stopover and roosting habitats are being developed in collaboration with the University of Maine, Maine Department of Inland Fisheries and Wildlife, the Cooperative Fish and Wildlife Research Unit of the United States Geological Survey, and the United States Veterans Administration. These may be used to evaluate climate vulnerability and high suitability areas for conservation planning. Download the app and read more here:

Vegetation Burn Spatial Relationships

Wildfire burns forest landscape

This long-term study of the Maine Cooperative Fish and Wildlife Research Unit of the United States Geological Survey and the US Fish and Wildlife Service combines satellite imagery-derived land cover maps and spatially explicit, dynamic, vegetation succession and hydrology models. They are being used to examine and communicate to water and fire management officials crucial information about the Okefenokee Swamp in Georgia, including vegetation distribution, composition, and structure.

Read more here:

Wildlife Survey Technologies: A Case Study with Colonial Nesting Coastal Birds

Arctic tern in flight

A multidisciplinary team including the University of Maine, Maine Department of Inland Fisheries and Wildlife, and the United States Fish and Wildlife Service is developing protocols for integrating various remote sensing technologies (e.g., UAVs, planes, imagery types) with artificial intelligence for automated imagery interpretation in surveys of Maine’s coastal colonial nesting birds.

For more information, contact

Forest Resource Management and Planning

View through mature woodlands

This project, funded by the Bureau of Indian Affairs, resulted in the development of a comprehensive forest GIS database system for habitat and climate change studies and to inform Maine’s Aroostook Band of Micmacs to inform their decisions about managing culturally important and ecologically sensitive forest resources.

For more information, contact

Baseline Mapping of Maine’s Land Cover

View of landscape, Rangeley, Maine

This project will be a collaborative effort between the National Oceanic and Atmospheric Administration Coastal Change Analysis Program (C-CAP), the Maine GeoLibrary and the University of Maine to use innovative machine learning approaches to map Maine’s land cover at 1m and 10m spatial resolutions with a 4-6 year refresh cycle.

For more information, contact

Planning & Zoning

Generic parcel map view

University of Maine at Machias

The GIS Laboratory at University of Maine at Machias provides strategic planning, zoning and parcel mapping services for Downeast communities. To access interactive online maps for community and regional planning:

For more information, contact

University of Maine at Presque Isle

A University of Maine at Presque Isle team has developed parcel (land ownership) GIS databases for 15 cities/towns in central Aroostook County and continues to do updates.

For more information, contact

Climate Resilience

Machias, Maine map showing the community's vulnerability to climate change

The GIS Laboratory at University of Maine at Machias works with local communities to assess their vulnerability to climate change and plan to become more resilient. To access interactive online storm surge and sea level rise maps, visit:

For more information, contact

Developing a Topologically-based Approach to Redistricting Analysis

Generic county map of the state of Maine

With the upcoming redistricting cycle, methods are needed to assist the courts in cases brought against redistricting plans. This work, in partnership with Massachusetts Institute of Technology, focuses on a new class of redistricting measures that are based in connectivity rather than computational geometry or partisan/demographic indicators.

For more information, contact

Digital Atlas of Maine

The Digital Atlas is a teaching tool compiled and developed through the University of Southern Maine Geographic Information Systems department. With this version, either ArcGIS or QGIS can be used to view and explore the Digital Atlas.

Workshops and Webinars

Workshop attendees in the Wheatland Geospatial Lab, Orono, Maine

The Maine Geospatial Institute offers workshops and training opportunities, including offerings through the Wheatland Geospatial Lab. Interested in participating in and/or hosting a workshop with one of our team members? Please reach out via our Contact Form or Workshops may be customized. In addition, MGI members can meet with you to share what the Maine Geospatial Institute does, and how it can partner with you to achieve specific goals.

A few examples of available geospatial technologies workshops include:

3D Point Clouds for Beginners. This one-day workshop explores the basics of 3D point cloud processing using tools in FUSION, Global Mapper, and ArcGIS. You will learn where to get publicly available point cloud data, how to visualize your data, and how to create bare earth DEMs, canopy surface models, and canopy height models. Participants will walk away with the tools and knowledge to apply the workflows used in the workshop to their existing lidar and photo-based point cloud datasets.

Terrain & Hydrologic Modeling with Lidar. This half-day workshop explores the basics of terrain and hydrologic modeling from lidar-derived, high-resolution Digital Terrain Models (DTM). You will learn where to get publicly available lidar data, how to create bare-earth DTMs, generate terrain indices such as slope and aspect maps, and perform the steps necessary for proper hydrologic modeling. Participants will walk away with the tools and knowledge to apply the workflows used in this workshop to make terrain and hydrologic models from lidar data.

Looking for additional opportunities to learn? Check out the Barbara Wheatland Seminar Series.