University of Washington
Contact Hans Andersen
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.
- University of Washington, Quantitative Resource Management (Forest Biometrics) , 2003
- International Institute for Aerospace Survey and Earth Sciences (ITC), Forest Survey , 1998
- University of Washington, Forest Resources , 1997
- Williams College, History , 1994
Featured Publications & Products
- Kim, Sooyoung; McGaughey, Robert J.; Andersen, Hans-Erik; Schreuder, Gerard. 2009. Tree Species Differentiation Using Intensity Data Derived From Leaf-On And Leaf-Off Airborne Laser Scanner Data.
- Sullivan, Alicia A.; McGaughey, Robert J.; Andersen, Hans-Erik; Schiess, Peter. 2009. Object-Oriented Classification Of Forest Structure From Light Detection And Ranging Data For Stand Mapping.
- Andersen, Hans-Erik; Clarkin, Tobey; Winterberger, Ken; Strunk, Jacob. 2009. An Accuracy Assessment Of Positions Obtained Using Survey- And Recreational-Grade Global Positioning System Receivers Across A Range Of Forest Conditions Within The Tanana Valley Of Interior Alaska.
- Pang, Yong; Lefsky, Michael; Andersen, Hans-Erik; Miller, Mary Ellen; Sherrill, Kirk. 2008. Validation Of The Icesat Vegetation Product Using Crown-Area-Weighted Mean Height Derived Using Crown Delineation With Discrete Return Lidar Data.
- Andersen, H.E.; Reutebuch, S.E.; McGaughey, R.J.; d'Oliveira, M.V.N.; Keller, M. 2014. Monitoring Selective Logging In Western Amazonia With Repeat Lidar Flights.
- Andersen, Hans-Erik; Pattison, Robert. 2012. Characterizing Environmental Change In Interior Alaska (1982-2012) Using Multi-Temporal, Multi-Scale Remote Sensing Data And Field Measurements.
- d'Oliveira, Marcus V.N.; Reutebuch, Stephen E.; McGaughey, Robert J.; Andersen, Hans-Erik. 2012. Estimating Forest Biomass And Identifying Low-Intensity Logging Areas Using Airborne Scanning Lidar In Antimary State Forest, Acre State, Western Brazilian Amazon.
- Strunk, Jacob L.; Reutebuch, Stephen E.; Andersen, Hans-Erik; Gould, Peter J.; McGaughey, Robert J. 2012. Model-Assisted Forest Yield Estimation With Light Detection And Ranging.
- Hudak, Andrew T.; Bright, Ben; Negron, Jose; McGaughey, Robert; Andersen, Hans-Erik; Hicke, Jeffrey A. 2012. Predicting Live And Dead Basal Area In Bark Beetle-Affected Forests From Discrete-Return Lidar.
- Andersen, Hans-Erik; Strunk, Jacob; Temesgen, Hailemariam. 2011. Using Airborne Light Detection And Ranging As A Sampling Tool For Estimating Forest Biomass Resources In The Upper Tanana Valley Of Interior Alaska.
- Reutebuch, S.E.; McGaughey, R.J.; Andersen, H.-E.; Carson, W.W. 2003. Accuracy Of A High-Resolution Lidar Terrain Model Under A Conifer Forest Canopy.