2111 2005 LiDAR-Based sampling procedures for regional forest biomass and carbon estimation – On-going and New Initiatives Erik Næsset and Terje Gobakken.

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Presentation transcript:

LiDAR-Based sampling procedures for regional forest biomass and carbon estimation – On-going and New Initiatives Erik Næsset and Terje Gobakken Norwegian University of Life Sciences Dept. of Ecology and Natural Resource Management Paul Bolstad and Ron McRoberts University of Minnesota Dept. of Forest Resources

DEPARTMENT OF ECOLOGY AND NATURAL RESOURCE MANAGEMENT 2 Light Detection and Ranging – A Review Source: TopScan, Germany  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) Source: Hyyppä et al

DEPARTMENT OF ECOLOGY AND NATURAL RESOURCE MANAGEMENT What is laser scanning?

DEPARTMENT OF ECOLOGY AND NATURAL RESOURCE MANAGEMENT Laser scanning Detailed studies of wood quality

DEPARTMENT OF ECOLOGY AND NATURAL RESOURCE MANAGEMENT Laser scanning Developing a national system for inventory of biomass/carbon stocks combining airborne laser and field data

DEPARTMENT OF ECOLOGY AND NATURAL RESOURCE MANAGEMENT Expert meeting on assessment of forest inventory approaches for REDD+ –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 6

DEPARTMENT OF ECOLOGY AND NATURAL RESOURCE MANAGEMENT 7 Researcher Exchange and Results 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 Great Lakes Region (Source: NASA) 400 m flux tower (M. Jenson)

DEPARTMENT OF ECOLOGY AND NATURAL RESOURCE MANAGEMENT Erik Næsset, professor 2.Terje Gobakken, associate professor 3.Ole Martin Bollandsås, researcher 4.Hans Ole Ørka, PhD student 5.Liviu Theodor Ene, PhD student 6.Nadja Thieme, PhD student 7.Vegard Lien, PhD student 8.Knut Marius Hauglin, PhD student 9.Rune Østergaard Pedersen, PhD student 10.Terje Kristensen, PhD student 11.John Wirkola Dirksen, PhD student 12.NN1, PhD student. Starting July NN2, PhD student. Starting July NN3, PhD student. Starting Sept The LiDAR research group Visiting researchers: 1.NASA – physical scientist: Shorter periods 2006, 2008, 2009, University of Eastern Finland – visiting professor - 6 months in months in IASMA Research and Innovation Center, Italia – Marie Curie fellow 1.5 years Canadian Forest Service – research scientist 1 week UMN – research scientist 1-2 weeks in 2011?????

DEPARTMENT OF ECOLOGY AND NATURAL RESOURCE MANAGEMENT 9 PhD Student exchange (Since 2008)  Terje Kristensen –UMN, 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

DEPARTMENT OF ECOLOGY AND NATURAL RESOURCE MANAGEMENT 10 Selected peer review publications (Since 2008) 1. 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. 2. 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. 3. 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. 4. 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, 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, Cook, B., Bolstad, P.V., Næsset, E., Anderson, R.S., Garrigues, S., Morisette, J.T., Nickeson, J. & Davis, K.J 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: McRoberts, R.E., Tomppo, E.O., & Næsset, E. (2010). Advances and emerging issues in national forest inventories. Scand. J. For. Res., 25, 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,