Estimation of timber volume and stem density based on scanning laser altimetry and expected tree size distribution functions

Remote Sensing of Environment

Volumn 90, Issue 3, 2004, Pages 319-330

  Maltamo, M ^a   Eerikainen K ^b   Pitkanen J ^a   Hyyppa J ^c   Vehmas, M ^a  

^a UNIVERSITY OF EASTERN FINLAND   (Finland)

^b FINNISH FOREST RESEARCH INSTITUTE   (Finland)

^c FINNISH GEODETIC INSTITUTE   (Finland)

Author keywords

Inventory; Lidar; pdf; Segmentation; Truncation point; Weibull

Indexed keywords

ERROR ANALYSIS; LASER BEAM EFFECTS; SCANNING; TIMBER;

CROWN SEGMENTATION METHODS; STEM DENSITY;

REMOTE SENSING;

AIRBORNE SENSING; ALTIMETRY; FOREST INVENTORY; LASER METHOD; LIDAR; REMOTE SENSING;

EURASIA; EUROPE; FINLAND; NORTHERN EUROPE; SCANDINAVIA;

EID: 1842588326     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2004.01.006     Document Type: Article

References (62)

1. Anttila P. Updating stand level inventory data applying growth models and visual interpretation of aerial photographs. Silva Fennica. 36:2002;549-560.
2. Anttila P. Nonparametric estimation of stand volume using spectral and spatial features of aerial photographs and old inventory data. Canadian Journal of Forest Research. 32:2002;1849-1857.
3. Anttila P., Lehikoinen M. Kuvioittaisten puustotunnusten estimointi ilmakuvilta puoliautomaattisella latvusten segmentoinnilla. Metsätieteen aikakauskirja. 3/3002:2002;381-389. (in Finnish).
4. Ardö J. Volume quantification of coniferous forest compartments using spectral radiance recorded by Landsat thematic Mapper. International Journal of Remote Sensing. 13:1992;1779-1786.
5. Assmann E. The principles of forest yield study. Studies in the organic production, structure, increment and yield of forest stands. 1970;Pergamon, Oxford. 506 pp.
6. Bailey R.L., Dell T.R. Quantifying diameter distributions with the Weibull function. Forest Science. 19:1973;97-104.
7. Baskerville G.L. Use of logarithmic regression in the estimation of plant biomass. Canadian Journal of Forest Research. 2:1972;49-53.
8. Bilker M., Kaartinen H. The quality of real-time kinematic (RTK) GPS positioning. Reports of the Finnish Geodetic Institute. 1:2001;. 25 pp.
9. Brandtberg T. Automatic individual tree-based analysis of high spatial resolution remotely sensed data. Acta Universitatis Agriculturae Sueciae. Silvestria. vol. 118:1999;Swedish University of Agricultural Sciences, Uppsala, Sweden. 155 pp.
10. Gaveau L.A., Hill R.A. Quantifying canopy height underestimation by laser pulse penetration in small-footprint airborne laser scanning data. Canadian Journal of Remote Sensing. 29:2003;650-657.
11. Goldstein H. Multilevel statistical models. second edition:1996;Arnold, London. 178 pp.
12. Gong P., Sheng Y., Biging G.S. 3D model-based tree measurement from high-resolution aerial imagery. Photogrammetric Engineering & Remote Sensing. 68:2002;1203-1212.
13. Gougeon F.A., St-Onge B.A., Wulder M., Leckie D.G. Synergy of airborne laser altimetry and digital videography for individual tree crown delineation. Workshop on Land Surface Mapping and Characterization Using Laser Altimetry, Annapolis, MD, USA, October 22-24, 2001. 2001.
14. Hafley W.L., Schreuder H.T. Statistical distributions for fitting diameter and height data in even-aged stands. Canadian Journal of Forest Research. 4:1977;481-487.
15. Holmgren J., Nilsson M., Olsson H. Estimation of tree height and stem volume on plots using airborne laser scanning. Forest Science. 49:2003;419-428.
16. Hyvönen P. Kuvioittaisten puustotunnusten ja toimenpide-ehdotusten estimointi k-lähimmän naapurin menetelmällä Landsat TM-satelliittikuvan, vanhan inventointitiedon ja kuviotason tukiaineiston avulla. Metsätieteen aikakauskirja. 3/3002:2002;363-379. (in Finnish).
17. Hyyppä, J., & Hyyppä, H. (2001). HIGH-SCAN - Assessing forest stand attributes by integrated use of high-resolution satellite imagery and laserscanner. Contract No. ENV4-CT98-0747 of European Commission. Final Report. September 2001, 81 pp.
18. Hyyppä J., Inkinen M. Detecting and estimating attributes for single trees using laser scanner. Photogrammetric Journal of Finland. 16:1999;27-42.
19. Hyyppä J., Hyyppä H., Inkinen M., Engdahl M., Linko S., Zhu Y.-H. Accuracy comparison of various remote sensing data sources in the retrieval of forest stand attributes. Forest Ecology and Management. 128:2000;109-120.
20. Hyyppä J., Pyysalo U., Hyyppä H., Samberg A. Elevation accuracy of laser scanning-derived digital terrain and target models in forest environment. 20th EARSEL Symposium and Workshops Dresden, Germany, 14-17 June, 2000. 2000;. 9 pp. Available at: http://las.physik.uni_oldenburg.de/projekte/ earsel/4th_workshop.html#proceedings.
21. Hyyppä J., Kelle O., Lehikoinen M., Inkinen M. A segmentation-based method to retrieve stem volume estimates from 3-dimensional tree height models produced by laser scanner. IEEE Transactions on Geoscience and Remote Sensing. 39:2001;969-975.
22. Hyyppä J., Schardt M., Haggren H., Koch B., Lohr U., Scherrer H.U., Paananen R., Luukkonen H., Ziegler M., Hyyppä H., Pyysalo U., Friedländer H., Uuttera J., Wagner S., Inkinen M., Wimmer A., Kukko A., Ahokas E., Karjalainen M. HIGH-SCAN: The first European-wise attempt to derive single-tree information from laserscanner data. Photogrammetric Journal of Finland. 17:2001;58-68.
23. Ilvessalo Y. Kasvu- ja tuottotaulukot Suomen eteläpuoliskon mänty-, kuusi- ja koivumetsille. Acta Forestalia Fennica. 15:1920;. 91 pp., (in Finnish).
24. Korpela, I. (2000). 3-d matching of tree tops using digitized panchromatic aerial photos. A thesis submitted in fulfillment of the requirements for the degree Licenciate in Agriculture and Forestry. University of Helsinki, 91 pp.+Appendices.
25. Laasasenaho J. Taper curve and volume function for pine, spruce and birch. Communicationes Instituti Forestalis Fenniae. 108:1982;1-74.
26. Laasasenaho J., Päivinen R. On the checking of inventory by compartments. Folia Forestalia. 664:1986;. 19 pp., (in Finnish with English summary).
27. Lappi J. Biometrical methods for forest sciences. Silva Carelica. vol. 24:1993;Faculty of Forestry, University of Joensuu, University Press, Joensuu, Finland. 182 pp. (in Finnish).
28. Lefsky M.A., Harding D., Cohen W.B., Parker G., Shugart H.H. Surface lidar remote sensing of basal area and biomass in deciduous forests of eastern Maryland, USA. Remote Sensing of Environment. 67:1999;83-98.
29. Leppänen V., Kelle O., Lehikoinen M., Hyyppä J. Machine vision based automation in forest inventory. Machine Vision News. 4:1999;15.
30. Lim K., Treitz P., Groot A., St-Onge B. Estimation of individual tree heights using LIDAR remote sensing. Proceedings of the 23rd Annual Canadian Symposium on Remote Sensing, Quebec, QC, August 20-24, 2001. 2001.
31. Magnussen S., Boudewyn P. Derivations of stand heights from airborne laser scanner data with canopy-based quantile estimators. Canadian Journal of Forest Research. 28:1998;1016-1031.
32. Magnussen S., Eggermont P., LaRiccia V.N. Recovering tree heights from airborne laser scanner data. Forest Science. 45:1999;407-422.
33. Magnussen S., Gougeon F., Leckie D., Wulder M. Predicting tree heights from a combination of LIDAR canopy heights and digital stem counts. Workshop on Land Surface Mapping and Characterization Using Laser Altimetry, Annapolis, MD, USA, October 22-24, 2001. 2001.
34. Maltamo M., Tokola T., Lehikoinen M. Estimating stand characteristics by combining single tree pattern recognition of digital video imagery and a theoretical diameter distribution model. Forest Science. 49:2003;98-109.
35. Maltamo, M., Mustonen, K., Hyyppä, J., Pitkänen, J., & Yu, X. (in press). The accuracy of estimating individual tree variables with airborne laser scanning in boreal nature reserve.
36. McComb J.W., Roberts S.D., Evans D.L. Influence of fusing lidar and multispectral imagery on remotely sensed estimates of stand density and mean tree height in a managed loblolly pine plantation. Forest Science. 49:2003;457-466.
37. Means J.E., Acker S.A., Brandon J.F., Renslow M., Emerson L., Hendrix C.J. Predicting forest stand characteristics with airborne scanning lidar. Photogrammetric Engineering & Remote Sensing. 66:2000;1367-1371.
38. Næsset E. Determination of mean diameter by basal area in stand of Picea abies and Pinus sylvestris in southeastern Norway by means of aerial photographs. Scandinavian Journal of Forest Research. 10:1995;296-304.
39. Næsset E. Determination of number of stems in coniferous forest stands by means of aerial photo-interpretation. Scandinavian Journal of Forest Research. 11:1996;175-181.
40. Næsset E. Determination of mean tree height of forest stands using an airborne lidar system. ISPRS Journal of Photogrammetry and Remote Sensing. 52:1997;49-56.
41. Næsset E. Estimating timber volume of forest stands using airborne laser scanner data. Remote Sensing of Environment. 51:1997;246-253.
42. Næsset E. Predicting forest stand characteristics with airborne scanning laser using a practical two-stage procedure and field data. Remote Sensing of Environment. 80:2002;88-99.
43. Næsset E., Økland T. Estimating tree height and tree crown properties using airborne scanning laser in a boreal nature reserve. Remote Sensing of Environment. 79:2002;105-115.
44. Nelson R., Krabill W., Tonelli J. Estimating forest biomass and volume using airborne laser data. Remote Sensing of Environment. 24:1988;247-267.
45. Nilson T., Peterson U. Age dependence of forest reflectance: Analysis of main driving factors. Remote Sensing of Environment. 48:1994;319-331.
46. Persson Å., Holmgren J., Söderman U. Detecting and measuring individual trees using an airborne laser scanner. Photogrammetric Engineering & Remote Sensing. 68:2002;925-932.
47. Popescu S.C., Wynne R.H., Nelson R.F. Estimating plot-level tree heights with lidar: Local filtering with a canopy-height based variable window size. Computers and Electronics in Agriculture. 37:2002;71-95.
48. Poso S. Basic features of forest inventory by compartments. Silva Fennica. 17:1983;313-349.
49. Pussinen, A. (1992). Ilmakuvat ja Landsat TM-satelliittikuva välialueiden kuvioittaisessa arvoinnissa. MSc thesis. University of Joensuu, Faculty of Forestry, 48 pp., (in Finnish).
50. Ruppert G., Wimmer A., Beichel R., Ziegler M. An adaptive multi-resolutional algorithm for high precision forest floor DTM generation. Proceedings of SPIE, Laser Radar Technology and Applications V, 26-28 April, Orlando, USA, 4035. 2000;. 12 pp.
51. Searle S.R. Linear models. 1971;Wiley, New York. 632 pp.
52. Siipilehto J. A comparison of two parameter prediction methods for stand structure in Finland. Silva Fennica. 34:2000;331-349.
53. SPSS SPSS base 10.0 user's guide. 1999;SPSS, Chicago, IL, USA. 537 pp.
54. Ståhl G. A study on the quality of compartmentwise forest stand data acquired by subjective inventory methods. 1992;5-87 Dep. of Biometry and For. Manage, Section of For. Mensuration and Manage., Swedish Univ. of Agric. Sci. Umeå Rep. 24.
55. St-Onge B.A. Estimating individual tree heights of the boreal forest using airborne laser altimetry and digital videography. Workshop of ISPRS WG III/2 and III/5: Mapping surface structure and topography by airborne and spaceborne lasers, 7-9.11.1999 La Jolla, CA. International Archives of Photogrammetry and Remote Sensing. vol. 32:2000;179-184.
56. St-Onge B.A., Renaud A. Estimating merchantable timber volume of aspen and spruce stands of the boreal forest using airborne scanning laser altimetry. Workshop on Land Surface Mapping and Characterization Using Laser Altimetry, Annapolis, MD, USA, October 22-24, 2001. 2001.
57. Tokola T., Heikkilä J. A priori site quality information in satellite image based forest inventory. Silva Fennica. 31:1997;67-78.
58. Tomppo E. Multi-source National Forest Inventory of Finland. Research Papers-Finnish Forest Research Institute. 444:1993;52-60.
59. Trotter C.M., Dymond J.R., Coulding C.J. Estimation of timber volume in a coniferous plantation forest using Landsat TM. International Journal of Remote Sensing. 18:1997;2209-2223.
60. Vuokila, Y. (1980). Metsän Kasvatuksen perusteet ja menetelmät. Porvoo: WSOY. 256 p. (in Finnish).
61. Vuori, K. (2002). Epätäydellisesti havaitun jakauman estimointi: Sovellus miesten pituusjakaumaan 1700-1800 luvuilla. Master's thesis. University of Jyväskylä, Department of Mathematics and Statistics, Laboratory of Data-analysis, 56 pp., (in Finnish).
62. Zutter B.R., Oderwald R.G., Murphy P.A., Farrar R.M. Jr. Characterizing diameter distributions with modified data types and forms of the Weibull distribution. Forest Science. 32:1986;37-48.