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Volumn 56, Issue 3, 2010, Pages 257-270

Estimation of forest stand parameters from airborne laser scanning using calibrated plot databases

Author keywords

Bayesian methods; Forest inventory; Lidar scanning; Plot databases; Timber sampling

Indexed keywords

AIRBORNE LASER SCANNING; BAYESIAN METHODS; FOREST INVENTORY; FOREST PARAMETERS; FOREST STAND; LIDAR SCANNING; NON-PARAMETRIC; PLOT DATABASES; RANDOM VARIATION; REGRESSION METHOD; SCANNING CONDITIONS; SCANNING PARAMETERS;

EID: 77953880077     PISSN: 0015749X     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (22)

References (14)
  • 1
    • 11144310034 scopus 로고    scopus 로고
    • Prediction of tree height, basal area and stem volume in forest stands using airborne laser scanning
    • Holmgren, J. 2004. Prediction of tree height, basal area and stem volume in forest stands using airborne laser scanning. Scand. J. For. Res. 19:543-553.
    • (2004) Scand. J. For. Res , vol.19 , pp. 543-553
    • Holmgren, J.1
  • 2
    • 75149121146 scopus 로고    scopus 로고
    • Sparse Bayesian estimation of forest stand characteristics from air-borne laser scanning
    • and
    • Junttila, V., M. Maltamo, and T. Kauranne. 2008. Sparse Bayesian estimation of forest stand characteristics from air-borne laser scanning. For. Sci. 54(5):543-552.
    • (2008) For. Sci. , vol.54 , Issue.5 , pp. 543-552
    • Junttila, V.1    Maltamo, M.2    Kauranne, T.3
  • 3
    • 33646849465 scopus 로고    scopus 로고
    • Non-parametric estimation of stem volume using laser scanning, aerial photography and stand register data
    • and
    • Maltamo, M., J. Malinen, P. Packalén, A. Suvanto, and J. Kangas. 2006. Non-parametric estimation of stem volume using laser scanning, aerial photography and stand register data. Can. J. For. Res. 36:426-436.
    • (2006) Can. J. For. Res , vol.36 , pp. 426-436
    • Maltamo, M.1    Malinen, J.2    Packalén, P.3    Suvanto, A.4    Kangas, J.5
  • 6
    • 0030616088 scopus 로고    scopus 로고
    • Determination of mean tree height of forest stands using air-borne laser scanning data
    • Næsset, E. 1997. Determination of mean tree height of forest stands using air-borne laser scanning data. ISPR J. Photogramm. Remote Sens. 52(2):49-56.
    • (1997) ISPR J. Photogramm. Remote Sens , vol.52 , Issue.2 , pp. 49-56
    • Næsset, E.1
  • 7
    • 0036218720 scopus 로고    scopus 로고
    • Predicting forest stand characteristics with air-borne scanning laser using a practical two-stage procedure and field data
    • Næsset, E. 2002. Predicting forest stand characteristics with air-borne scanning laser using a practical two-stage procedure and field data. Remote Sens. Environ. 80:88-99.
    • (2002) Remote Sens. Environ , vol.80 , pp. 88-99
    • Næsset, E.1
  • 8
    • 11144301734 scopus 로고    scopus 로고
    • Accuracy of forest inventory using airborne laser-scanning: Evaluating the first Nordic full-scale operational project
    • Næsset, E. 2004. Accuracy of forest inventory using airborne laser-scanning: Evaluating the first Nordic full-scale operational project. Scand. J. For. Res. 19:554-557.
    • (2004) Scand. J. For. Res , vol.19 , pp. 554-557
    • Næsset, E.1
  • 9
    • 33845573157 scopus 로고    scopus 로고
    • Predicting the volume by tree species using airborne laser scanning and aerial photographs
    • and
    • Packalén, P, and M. Maltamo. 2007. Predicting the volume by tree species using airborne laser scanning and aerial photographs. For. Sci. 52:611-622.
    • (2007) For. Sci , vol.52 , pp. 611-622
    • Packalén, P.1    Maltamo, M.2
  • 10
    • 33746506688 scopus 로고    scopus 로고
    • Estimation of biophysical characteristics for highly variable mixed-conifer stands using small-foot-print lidar
    • and
    • Rooker Jensen, J.L., K.S. Humes, T. Conner, C.J. Williams, and J. DeGroot. 2006. Estimation of biophysical characteristics for highly variable mixed-conifer stands using small-foot-print lidar. Can. J. For. Res. 36:1129-1138.
    • (2006) Can. J. For. Res , vol.36 , pp. 1129-1138
    • Jensen, J.L.R.1    Humes, K.S.2    Conner, T.3    Williams, C.J.4    De Groot, J.5
  • 11
    • 33646245074 scopus 로고    scopus 로고
    • Kuviokohtaisten Puustotunnusten Ennustaminen Laserkeilauk-sella
    • and, Terrascan 2009. Available online at, last accessed Feb. 13, 2009, (in Finnish)
    • Suvanto, A., M. Maltamo, P. Packalén, and J. Kangas. 2005. Kuviokohtaisten puustotunnusten ennustaminen laserkeilauk-sella. Metsä tieteen aikakauskirja 4/2005:413-428 (in Finnish). TERRASCAN 2009. Available online at http://wwwrrasolid.fi.; last ac-cessed Feb. 13, 2009.
    • (2005) Metsä Tieteen Aikakauskirja , vol.4 , Issue.2005 , pp. 413-428
    • Suvanto, A.1    Maltamo, M.2    Packalén, P.3    Kangas, J.4
  • 12
    • 0001224048 scopus 로고    scopus 로고
    • Sparse Bayesian learning and the relevance vector machine
    • Tipping, M.E. 2001. Sparse Bayesian learning and the relevance vector machine. J. Machine Learn. Res. 1:211-244.
    • (2001) J. Machine Learn. Res , vol.1 , pp. 211-244
    • Tipping, M.E.1
  • 13
    • 35048822888 scopus 로고    scopus 로고
    • Bayesian inference: An introduction to principles and practice in machine learning
    • Bousquet, O., U. von Luxburg, and G. Rätsch (eds.). Springer, Berlin, Germany
    • Tipping, M.E. 2004. Bayesian inference: An introduction to principles and practice in machine learning. P. 41-62 in Advanced lectures on machine learning, Bousquet, O., U. von Luxburg, and G. Rätsch (eds.). Springer, Berlin, Germany.
    • (2004) Advanced Lectures On Machine Learning , pp. 41-62
    • Tipping, M.E.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.