Forest inventory stand height estimates from very high spatial resolution satellite imagery calibrated with lidar plots

International Journal of Remote Sensing

Volumn 34, Issue 12, 2013, Pages 4406-4424

  Mora, Brice ^a,c   Wulder, Michael A ^a   Hobart, Geordie W ^a   White, Joanne C ^a   Bater, Christopher W ^a,d   Gougeon, Francois A ^a   Varhola, Andrés ^b   Coops, Nicholas C ^b  

^a PACIFIC FORESTRY CENTRE   (Canada)

^b UNIVERSITY OF BRITISH COLUMBIA   (Canada)

^c WAGENINGEN UNIVERSITY   (Netherlands)

^d Alberta Sustainable Resource Development   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

DECISION TREES; IMAGE RESOLUTION; NEAREST NEIGHBOR SEARCH; SATELLITE IMAGERY;

BRITISH COLUMBIA , CANADA; CALIBRATION AND VALIDATIONS; FOREST INVENTORY DATA; INTERNATIONAL REPORTING; K NEAREST NEIGHBOURS (K-NN); LIGHT DETECTION AND RANGING; REMOTELY SENSED DATA; VERY HIGH SPATIAL RESOLUTIONS;

OPTICAL RADAR;

CALIBRATION; ESTIMATION METHOD; FOREST INVENTORY; HEIGHT; LIDAR; PHOTOGRAMMETRY; REMOTE SENSING; SATELLITE IMAGERY; SPATIAL RESOLUTION; STAND DYNAMICS;

BRITISH COLUMBIA; CANADA;

EID: 84888782322     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431161.2013.779041     Document Type: Article

References (62)

1. Asner, G. P., J. M. O. Scurlock, and J. A. Hicke. 2003. "Global Synthesis of Leaf Area Index Observations: Implications for Ecological and Remote Sensing Studies." Global Ecology and Biogeography 12: 191-205.
2. Baatz, M., and M. Schäpe. 2000. "Multiresolution Segmentation: An Optimization Approach for High Quality Multi-scale Image Segmentation." In Angewandte Geographische Informationsverarbeitung XII. Beitrage zum AGIT-Symposium Salzburg 2000, edited by J. Strobl, and T. Blaschke, 12-23. Karhlsruhe: Herbert Wichmann Verlag.
3. Bater, C. W., M. A. Wulder, J. C. White, and N. C. Coops. 2010. "Integration of LIDAR and Digital Aerial Imagery for Detailed Estimates of Lodgepole Pine (Pinus contorta) Volume Killed by Mountain Pine Beetle (Dendroctonus ponderosae)." Journal of Forestry 108: 111-119.
4. Boudewyn, P., X. Song, S. Magnussen, and M. D. Gillis. 2007. Model-Based, Volumeto-Biomass Conversion for Forested and Vegetated Land in Canada. Victoria, BC: Canadian Forest Service, Pacific Forestry Centre BC-X-411.
5. Breiman, L. 2001. "Random Forests." Machine Learning 45: 5-32.
6. Chen, G., G. J. Hay, and B. St-Onge. 2011. "A GEOBIA Framework to Estimate Forest Parameters from Lidar Transects, Quickbird Imagery, and Machine Learning: A Case Study in Quebec, Canada." International Journal of Applied Earth Observation and Geoinformation 15: 28-37.
7. Coops, N. C., A. Varhola, C. W. Bater, P. Teti, S. Boon, N. Goodwin, and M. Weiler. 2009. "Assessing Differences in Tree and Stand Structure Following Beetle Infestation Using Lidar Data." Canadian Journal of Remote Sensing 35: 497-508.
8. Crookston, N. L., and A. O. Finley. 2008. "YaIMPUTE: An R Package for k-NN Imputation." Journal of Statistical Software 23: 16.
9. Culvenor, D. S. 2003. "Survey of Techniques for Extracting Individual Tree Information from High Spatial Resolution Imagery." In Remote Sensing of Forest Environments: Concepts and Case Studies, edited by M. A. Wulder and S. E. Franklin, 225-279. Boston, MA: Kluwer Academic Publishers.
10. Definiens Imaging. 2004. eCognition Elements: User Guide 4, 71. Germany: München.
11. Duncanson, L. I., K. O. Niemann, and M. A. Wulder. 2010. "Integration of GLAS and Landsat TM Data for Aboveground Biomass Estimation." Canadian Journal of Remote Sensing 36: 129-141.
12. Ecological Stratification Working Group. 1995. A National Ecological Framework for Canada. Agriculture and Agri-Food Canada, Research Branch, Centre for Land and Biological Resources Research and Environment Canada, State of the Environment Directorate, Ecozone Analysis Branch, Ottawa/Hull.
13. Eid, T., Gobakken, T., and Næsset, E. 2004. "Comparing Stand Inventories for Large Areas Based on Photo-Interpretation and Laser Scanning by Means of Cost-Plus-Loss Analyses." Scandinavian Journal of Forest Research 19: 512-523. doi:10.1080/02827580410019463.
14. Evans, D. L., S. D. Roberts, and R. C. Parker. 2006. "LiDAR - A New Tool for Forest Measurements." The Forestry Chronicle 82: 211-218.
15. Falkowski, M. J., M. A. Wulder, J. C. White, and M. D. Gillis. 2009. "Supporting Large-Area, Sample-Based Forest Inventories with Very High Spatial Resolution Satellite Imagery." Progress in Physical Geography 33: 403-423.
16. Geobase. 2000. Canadian Digital Elevation Data, Level 1 Product Specifications. Edition 3.0 (2007-06-01). Government of Canada, Natural Resources Canada, Earth Sciences Sector, Centre for Topographic Information, Sherbrooke, Quebec, Canada. Accessed April 1, 2011. http://www.geobase.ca/doc/specs/pdf/GeoBase_product_specs_Cded1_3_0.pdf
17. Gillis, M. D. 2001. "Canada's National Forest Inventory (Responding to Current Information Needs)." Environmental Monitoring and Assessment 67: 121-129.
18. Gillis, M. D., A. Y. Omule, and T. Brierley. 2005. "Monitoring Canada's Forests: The National Forest Inventory." The Forestry Chronicle 81: 214-221.
19. Goodwin, N. R., N. C. Coops, and D. S. Culvenor. 2006. "Assessment of Forest Structure with Airborne LIDAR and the Effects of Platform Altitude." Remote Sensing of Environment 103: 140-152.
20. Gougeon, F. A. 1995. "Crown-Following Approach to the Automatic Delineation of Individual Tree Crowns in High Spatial Resolution Aerial Images." Canadian Journal of Remote Sensing 21: 274-284.
21. Henley, M. J., M. A. Wulder, and M. J. Falkowski. 2009. EcoMonitor Segmentation Methodology, Version 2.0. Victoria, BC: Pacific Forestry Centre, Canadian Forest Service.
22. Hilker, T., M. A. Wulder, and N. C. Coops. 2008. "Update of Forest Inventory Data with Lidar and High Spatial Resolution Satellite Imagery." Canadian Journal of Remote Sensing 34: 5-12.
23. Holmgren, J. 2004. "Prediction of Tree Height, Basal Area and Stem Volume in Forest Stands Using Airborne Laser Scanning." Scandinavian Journal of Forest Research 19: 543-553.
24. Hopkinson, C., and L. Chasmer. 2009. "Testing LiDAR Models of Fractional Cover across Multiple Forest Ecozones." Remote Sensing of Environment 113: 275-288.
25. Hopkinson, C., L. Chasmer, K. Lim, P. Treitz, and I. Creed. 2006. "Towards a Universal Lidar Canopy Height Indicator." Canadian Journal of Remote Sensing 32: 139-152.
26. Hudak, A. T., M. A. Lefsky, W. B. Cohen, and M. Berterretche. 2002. "Integration of Lidar and Landsat TM+ Data for Estimating and Mapping Forest Canopy Height." Remote Sensing of Environment 82: 397-416.
27. Hyvarinen, A., and E. Oja. 2000. "Independent Component Analysis." Neural Networks 13: 411-430.
28. Hyyppä, J., O. Kelle, M. Lehikoinen, and M. Inkinen. 2001. "A Segmentation-Based Method to Retrieve Stem Volume Estimates from 3-D Tree Height Models Produced by Laser Scanners." Transactions on Geoscience and Remote Sensing 39: 969-975.
29. Krause, K. S. 2008. WorldView-1 Pre and Post-launch Radiometric Calibration and Early On-orbit Characterization, 11 p.Longmont, CO: DigitalGlobe.
30. Li, A., C. Huang, G. Sun, H. Shi, C. Toney, Z. Zhu, M. G. Rollins, S. N. Goward, and J. G. Masek. 2011. "Modeling the Height of Young Forests Regenerating From Recent Disturbances in Mississippi Using Landsat and ICESat Data." Remote Sensing of Environment 115: 1837-1849. doi:10.1016/j.rse.2011.03.001.
31. Lim, K., P. Treitz, M. Wulder, B. St-Onge, and M. Flood. 2003. "Lidar Remote Sensing of Forest Structure." Progress in Physical Geography 27: 88-106.
32. Magnussen, S., and P. Boudewyn. 1998. "Derivations of Stand Heights from Airborne Laser Scanner Data with Canopy-Based Quantile Estimators." Canadian Journal of Forest Research 28: 1016-1031.
33. McGaughey, R. J. 2010, FUSION/LDV: Software for LIDAR Data Analysis and Visualization, Version 2.90. Portland, OR: Pacific Northwest Research Station, Forest Service, United States Department of Agriculture.
34. McInerney, D. O., J. Suarez-Minguez, R. Valbuena, and M. Nieuwenhuis. 2010. "Forest Canopy Height Retrieval Using Lidar Data, Medium-Resolution Satellite Imagery and k-NN Estimation in Aberfoyle, Scotland." Forestry 83: 195-206.
35. McLachlan, G. J., K. A. Do, and C. Ambroise, eds. 2004. Analyzing Microarray Gene Expression Data, 320. Hoboken, NJ: John Wiley and Sons.
36. Means, J., Acker, S., Fitt, B., Renslow, M., Emerson, L., and Hendrix, C. 2000. "Predicting Forest Stand Characteristics with Airborne Scanning Lidar." Photogrammetric Engineering & Remote Sensing 66: 1367-1371.
37. Mielke P. W., Jr., and K. J. Berry, ed. 2001. Permutation Methods: A Distance Function Approach, 352 pp. New York: Springer-Verlag.
38. Ministry of Forests and Range. 2009. Vegetation Resources Inventory: Photo Interpretation Quality Assurance Procedures and Standards, Version 3.2. Victoria, BC: Forest Analysis and Inventory Branch. Accessed April 1, 2011. http://www.for.gov.bc.ca/hts/vri/standards/index.html#photo
39. Mora, B., M. A. Wulder, and J. C. White. 2010. "Segment-Constrained Regression Tree Estimation of Forest Stand Height from Very High Spatial Resolution Panchromatic Imagery over a Boreal Environment." Remote Sensing of Environment 114: 2474-2484.
40. Næsset, E. 1997. "Determination of Mean Tree Height of Forest Stands Using Airborne Laser Scanner Data." ISPRS Journal of Photogrammetry and Remote Sensing 52: 49-56.
41. Næsset, E. 2002. "Predicting Forest Stand Characteristics with Airborne Scanning Laser Using a Practical Two-Stage Procedure and Field Data." Remote Sensing of Environment 80: 88-99.
42. Næsset, E. 2004. "Practical Large-Scale Forest Stand Inventory Using a Small-Footprint Airborne Scanning Laser." Scandinavian Journal of Forest Research 19: 164-179.
43. Næsset, E., and T. Økland. 2002. "Estimating Tree Height and Tree Crown Properties Using Airborne Scanning Laser in a Boreal Nature Reserve." Remote Sensing of Environment 79: 105-115.
44. Natural Resources Canada. 2004. Canada's National Forest Inventory: Photo Plot Guidelines, Version 1.1. Internal Design Document. Victoria, BC, Canada: Canadian Forest Service, Pacific Forestry Centre Canada.
45. Natural Resources Canada. 2010. The State of Canada's Forests 2010. Ottawa, ON: Canadian Forest Service, Natural Resources Canada.
46. Nilsson, M. 1996. "Estimation of Tree Heights and Stand Volume Using an Airborne Lidar System." Remote Sensing of Environment 56: 1-7.
47. Parker, G. G., M. Lowman, and N. Nadkarni. 1995. "Structure and Microclimate of Forest Canopies." In Forest Canopies: A Review of Research on a Biological Frontier, edited by M. D. Lowman and N. M. Nadkarni, 73-106. San Diego, CA: Academic Press.
48. Patenaude, G., R. Hill, R. Milne, D. Gaveau, B. Briggs, and T. Dawson. 2004. "Quantifying Forest above Ground Carbon Content Using LiDAR Remote Sensing." Remote Sensing of Environment 93: 368-380.
49. Persson, Å., J. Holmgren, and U. Soderman.2002. "Detecting and Measuring Individual Trees Using an Airborne Laser Scanner." Photogrammetric Engineering & Remote Sensing 68: 925-932.
50. Peuhkurinen, J., M. Maltamo, L. Vesa, and P. Packalén. 2008. "Estimation of Forest Stand Characteristics Using Spectral Histograms Derived from an Ikonos Satellite Image." Photogrammetric Engineering & Remote Sensing 74: 1335-1341.
51. R Development Core Team. 2005. R: A Language and Environment for Statistical Computing. Vienna: R Foundation for Statistical Computing. Accessed April 1, 2011. http://www.R-project.org
52. Ripley, B. 2009. Tree: Classification and Regression Trees. R Package Version 1.0-27. Accessed April 1, 2011. http://CRAN.R-project.org/package=tree
53. Suárez, J. C., R. Garcia, B. Gardiner, and G. Patenaude. 2008. "The Estimation of Wind Risk in Forest Stands Using Airborne Laser Scanning (ALS)." Journal of Forest Planning 13: 165-185.
54. Stage, A. R., and N. Crookston. 2007. "Partitioning Error Components for Accuracy-Assessment of Near-Neighbor Methods of Imputation." Forest Science 53: 62-72.
55. Varhola, A., N. C. Coops, C. W. Bater, P. Teti, S. Boon, and M. Weiler. 2010. "The Influence of Ground-and LiDAR-Derived Forest Structure Metrics on Snow Accumulation and Ablation in Disturbed Forests." Canadian Journal of Forest Research 40: 812-821.
56. Wulder, M., and T. Nelson. 2003. EOSD Land Cover Classification Legend Report - Version 2, 83 pp. Victoria, BC: Natural Resources Canada, Canadian Forest Service.
57. Wulder, M. A., W. Kurz, and M. Gillis. 2004. "National Level Forest Monitoring and MODELing in Canada." Progress in Planning 61: 365-381.
58. Wulder, M. A., S. M. Ortlepp, J. C. White, and N. C. Coops. 2008a. "Impact of Sun-Surface-Sensor Geometry Upon Multitemporal High Spatial Resolution Satellite Imagery." Canadian Journal of Remote Sensing 34: 455-461.
59. Wulder, M. A., and D. Seemann. 2003. "Forest Inventory Height Update through the Integration of Lidar Data with Segmented Landsat Imagery." Canadian Journal of Remote Sensing 29: 536-543.
60. Wulder, M. A., J. C. White, C. W. Bater, N. C. Coops, C. Hopkinson, and G. Chen. 2012. "Lidar Plots-A New Large-Area Data Collection Option: Context, Concepts, and Case Study." Canadian Journal of Remote Sensing 38: 600-618. doi: http://dx.doi.org/10.5589/m12-049.
61. Wulder, M. A., J. C. White, M. Cranny, R. J. Hall, J. E. Luther, A. Beaudoin, D. G. Goodenough, and J. A. Dechka. 2008b. "Monitoring Canada's Forests. Part 1: Completion of the EOSD Land Cover Project." Canadian Journal of Remote Sensing 34: 549-562.
62. Wulder, M. A., J. C. White, G. J. Hay, and G. Castilla. 2008c. "Towards Automated Segmentation of Forest Inventory Polygons on High Spatial Resolution Satellite Imagery." The Forestry Chronicle 84: 221-230.