Maine GIS User Group

Upcoming Events

    • 25 Jan 2022
    • 12:00 PM - 1:00 PM
    • Webinar
    Register with Zoom

    Authors: Anthony Guay, Daniel Hayes, Sylvia Noralez, David Sandilands, and Stephanie Willsey, Wheatland Geospatial Lab.

    Abstract: Forests provide critical ecosystem services, the sustainable management of which requires high quality and reliable information on the quantity and condition of forest resources. Traditional approaches to forest inventory are limited as information demands increase in the face of a changing and uncertain future. Remote sensing has the potential to revolutionize how we measure and monitor our forests, but the effective application of such emerging technologies requires new research across a range of scales and among different use cases. This is especially true in Maine, which is heavily reliant on its natural resources but where the mixed-species, intensively-managed forests are particularly complex and dynamic. The Wheatland Geospatial Lab (WGL) in the School of Forest Resources at the University of Maine is conducting research at the forefront of Enhanced Forest Inventory (EFI) applications using cutting-edge remote sensing technologies and methodologies. Here, we will present our current findings and future opportunities in co-producing and stakeholder-sharing machine-learning models of EFI attributes using multispectral and LiDAR data sets acquired from drones, airplanes, and satellites and calibrated with high quality ground information collected with\ strategic sample plot designs. We will discuss how we are expanding the scope of this research with larger, NASA-funded projects for biomass mapping with spaceborne LiDAR and multi-data fusion for monitoring, reporting, and verification of forest carbon resources. Finally, we will overview the suite of remote sensing tools, research applications, and stakeholder engagement activities provided by the WGL in service of the geospatial community in Maine and beyond.

    Remote sensing of tree composition and structure in an area on the Penobscot Experimental Forest, Bradley, Maine. This image depicts the 3-D “point cloud” of canopy heights, generated from an aerial LiDAR acquisition in August 2021 with NASA Goddard’s LiDAR-Hyperspectral-Thermal (G-LiHT) system, and colored using an aerial infrared image taken with WGL’s camera system on board the University of Maine’s Cessna aircraft.

    Bio: (Link to all author bios Daniel Hayes is an associate professor in the School of Forest Resources at the University of Maine and director of the Wheatland Geospatial Laboratory. Dan teaches and conducts research using remote sensing and modeling tools in the science and applications of forestry and ecology. He is involved in various collaborative scientific efforts including the interagency North American Carbon Program, NASA’s Arctic-Boreal Vulnerability Experiment, DOE’s Next Generation Ecosystem Experiment and the NSF Permafrost Carbon Network. Dan earned a B.S. from SUNY-ESF, an M.S. from UMaine, and a PhD from Oregon State University.

Past Events

7 Dec 2021 Tidal Marsh and Seagrass Mapping with Maine DEP and MNAP (Virtual Lunch & Learn)
16 Nov 2021 MEGUG 2021 Annual Meeting (Virtual)
5 Oct 2021 Monitoring Regional-scale High Latitude Landscape Shifts using NASA Landsat and MODIS (Virtual Lunch & Learn)
21 Sep 2021 MEGUG Lunch and Learn: Virtual Reality and Archaeologists: An Immersive Partnership for the Ages
22 Jun 2021 The Sewall Company Aerial Photographs Collection at UMaine Special Collections (Virtual Lunch and Learn)
25 May 2021 GIS to Inspire Transparency & Trust in a Municipal Setting (Virtual Lunch & Learn)
13 Apr 2021 Analog GIS in the Digital GIS Age: A Municipal Archive and its Interconnection with the Modern Digital GIS Mapping of a 389-Year-Old City (Virtual Lunch & Learn)
9 Mar 2021 Remote ID for Drones: The Challenges and Opportunities for GIS and Surveying in the FAA’s Coming Flight Rules (Virtual Lunch & Learn)
9 Feb 2021 Glory, Glory Pareidolia: A Method for Addressing Gerrymandering Using Topological Rather Than Geometric Means (Virtual Lunch & Learn)
12 Jan 2021 If We Can't Do It, You Don't Need It - Rob George, Director of Market Research for Rite Aid (Virtual Lunch & Learn)
8 Dec 2020 High Resolution Land Cover and Forest Mapping Products for Maine with NOAA (Virtual Lunch & Learn)
10 Nov 2020 MEGUG Annual Meeting w/Presentation from Maine Inland Fisheries & Wildlife on StoryMaps & Eagle Recovery
13 Oct 2020 Mapping and Tracking COVID-19 Data (Virtual Lunch & Learn)
17 Sep 2020 New Datums in 2022 (Virtual Lunch & Learn)
30 Jul 2020 A Review of Updates to the Maine GeoLibrary Data Portal Interface (Virtual Lunch & Learn)
10 Jun 2020 Virtual Lunch & Learn: Maine Climate Council Working Group Updates
21 May 2020 GeoLibrary Update on Geospatial Data for 2020 (Virtual Lunch & Learn)
20 Oct 2019 Annual Fall Meeting and Educators Conference @NEARC

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