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Hans Andersen

Hans Andersen
Research Forester/VMaRS Team Leader
Resource Monitoring and Assessment
161 E 1st Ave. Door #8
Anchorage, AK 99501-1639
United States
Phone
206-221-9034
Current Research

My research consists of developing new techniques for using remote sensing and other geospatial technologies within large-scale, multiobjective resource inventory systems. The scale of the Alaskan landscape, and the remoteness and lack of access to most of the forest and related ecosystems, requires development and application of inventory and monitoring techniques that largely depend on remotely acquired information, which must be integrated with field-based information in innovative and complex statistical sampling designs. I investigate how emerging geospatial/remote sensing technologies and analytical techniques can best be applied to assess the extent, condition, use, and trends associated with Alaska's ecosystems and natural resources.

Why This Research Is Important

This research is important because adequate technology has not been developed or applied to effectively, and comprehensively, inventory and monitor the forested ecosystems of Alaska. Therefore, critical baseline information on the extent, condition, trends, and uses of all Alaskan forests is not available to meet the needs for management and protection of these areas.

Education
  • University of Washington, Ph.D., Quantitative Resource Management (Forest Biometrics), 2003
  • International Institute for Aerospace Survey and Earth Sciences (ITC), Professional Master, Forest Survey, 1998
  • University of Washington, M.S., Forest Resources, 1997
  • Williams College, B.A., History, 1994
Other Publications
Research Highlights

Drones and 3D Imagery Support Interior Alaska Forest Inventory

Year: 2019
Researchers have found ways to use three-dimensional imagery obtained via drones to supplement traditional field data collected by technicians on the ground. The technique offers a promising approach to collect information about remote boreal forests.

Efficient, Cost-Effective Field Sampling Protocol to Pair with Remote Sensing Data for Carbon Monitoring

Year: 2020
State-of-the-art, lidar-based remote sensing technologies are high-precision tools that are being used to support cost-effective carbon monitoring systems around the world. Researchers at the Pacific Northwest Research Station and their colleagues developed an efficient sampling design and measureme...

Mapping "Shrubification" in Alaska with High-Resolution Remote Sensing

Year: 2020
Climate change has caused “shrubification,” or increased shrub cover and size, across arctic and boreal ecosystems. Shrubification can have broad impacts on the ecosystem, so consistent information about the spatial variability and structure of shrub vegetation is needed to support managers and deci...
https://www.fs.usda.gov/research/about/people/handersen