Lidar = laser range finder

LiDAR = laser range finder

• LiDAR = laser range finder

• Ground elevations
• Canopy heights
• Structural information
• Leaf area
• Percent crown cover
• Tree stocking density

• Advantages

• Cost efficient for large areas
• High spatial resolution (~30 cm)
• Numerous applications
• Forest biomass, growth and change detection, carbon exchange
• Wildlife habitat
• Disturbance (e.g., pests, blowdowns)

31 May/1 June 2011 at FAO headquarters, Rome, Italy

• 31 May/1 June 2011 at FAO headquarters, Rome, Italy
• Forest Inventory and UN REDD Monitoring in the Tropics:
• – Proposal for an International Scientific Meeting
• Submitted by:
• Piermaria Corona, University of Tuscia, Italy
• Lorenzo Fattorini, University of Siena, Italy
• Lutz Fehrmann, Georg-August-University, Germany
• Terje Gobakken, Norwegian University of Life Sciences, Norway
• Timothy G. Gregoire, Yale University, USA
• Christoph Kleinn, Georg-August-University, Germany
• Ronald E. McRoberts, U. S. Forest Service, USA
• Erik Næsset, Norwegian University of Life Sciences, Norway
• Ross Nelson, NASA, USA
• Göran Ståhl, Swedish University of Agricultural Sciences, Sweden
• Stephen V. Stehman, State University of New York, USA
• Erkki Tomppo, METLA, Finland

Researcher exchange

• Researcher exchange

• 2004:

• PhD. Bruce Cook, one week in Norway
• Prof. Erik Næsset, one week in USA

• 2006:

• Prof. Paul Bolstad, one week in Norway
• M.Sc. Ryan Anderson, one week in Norway

• 2007:

• Prof. Terje Gobakken 7.5 months in Wisconsin
• Prof. Erik Næsset, one week at NASA’s Goddard Space Flight Center

• 2009

• Prof. Erik Næsset, one week at NASA’s Goddard SFC and Texas A&M

• Results

• 2007:

• Ryan Andersen, M.Sc. (now Ph.D. student in Montana)

• 2008:

• Bruce Cook, PhD. (now NASA's Goddard Space Flight Center)
• Melissa Maxa, Senior thesis project

Terje Kristensen

• Terje Kristensen

• UMN, 12-18 months
• Funding:
• PhD fellowship allocated by UMB.
• The Research Council of Norway, Leif Eriksson mobility
• Fulbright

• Liviu Ene

• Yale University, fall 2008
• Funding: The Research Council of Norway (Nordam-Sam).

• Hans Ole Ørka

• Canadian Forest Service - Pacific Forestry Center, 6 month in 2009

• Nadja Thieme

• Canadian Forest Service - Pacific Forestry Center, 6 month in 2010

• Marius Hauglin

• Spatial Sciences Laboratory - Texas A&M University, 6 month in 2010

• Gobakken, T., Næsset, E., Nelson, R., Bollandsås, O.M., Gregoire, T.G., Ståhl, G., Holm, S., Ørka, H.O., & Astrup, R. (2011). Estimating biomass in Hedmark County, Norway using national forest inventory field plots and airborne laser scanning. In submission.

• Næsset, E., Gobakken, T., Solberg, S., Gregoire, T.G., Nelson, R., Ståhl, G., & Wydahl, D. (2011). Model-assisted regional forest biomass estimation using LiDAR and InSAR as auxiliary data: A case study from a boreal forest area. In submission.

• Nelson, R., Gobakken, T., Næsset, E., Gregoire, T.G., Ståhl, G., Holm, S., & Flewelling, J. (2011). Lidar Sampling - Using an Airborne Profiler to Estimate Forest Biomass in Hedmark County, Norway. In submission.

• Gregoire, T., Ståhl, G., Næsset, E., Gobakken, T., Nelson, R., & Holm, S. (2011). Model-assisted estimation of biomass in a LiDAR sample survey in Hedmark county, Norway. Can. J. For. Res., 41, 83-95.

• Ståhl, G., Holm, S., Gregoire, T., Gobakken, T., Næsset, E., & Nelson, R. (2011). Model-based inference for biomass estimation in a LiDAR sample survey in the county of Hedmark County, Norway. Can. J. For. Res., 41, 96-107.

• Cook, B., Bolstad, P.V., Næsset, E., Anderson, R.S., Garrigues, S., Morisette, J.T., Nickeson, J. & Davis, K.J. 2009. Using LiDAR and Quickbird data to model plant production and quantify uncertainties associated with wetland detection and land cover generalizations. Remote Sensing of Environment, 113: 2366-2379.

• McRoberts, R.E., Tomppo, E.O., & Næsset, E. (2010). Advances and emerging issues in national forest inventories. Scand. J. For. Res., 25, 368 - 381.

• McRoberts, R.E., Cohen, W.B., Næsset, E., Stehman, S.V., & Tomppo, E.O. (2010). Using remotely sensed data to construct and assess forest attribute maps and related spatial products. Scand. J. For. Res., 25, 340 - 367.