St-OngeJumeletCobelloEtAl2004

Référence

St-Onge, B., Jumelet, J., Cobello, M. and Vega, C. (2004) Measuring individual tree height using a combination of stereophotogrammetry and lidar. Canadian Journal of Forest Research, 34(10):2122-2130.

Résumé

Photogrammetric methods using parallaxes can be employed to measure tree heights on aerial photographs. Because it is often impossible to measure ground elevation near trees growing in dense forests, such height measurements remain prone to error. Our objective was to solve this problem by combining a stereomodel and a digital terrain model (DTM) produced by an airborne-scanning system that uses light detection and ranging (lidar). A stereopair of scanned aerial photographs was first registered to a lidar DTM. The elevation of the apex of 202 Thuja occidentalis (L.) individuals was measured by an observer on a digital photogrammetric workstation. The tree base elevations were read from the lidar DTM and subtracted from the corresponding apex elevations to calculate individual tree heights. These were then compared with the heights measured in the field. The average photo-lidar bias was 0.59 m, and the average deviation of 1.01 m decreased to 0.88 m when the bias was removed. It was demonstrated that the photographic clearness of the tree apices influences the height error, while the density of the lidar echoes under the forest canopy does not. Using this method, retrospective studies of changes in tree height become feasible by using archived aerial photographs and recent lidar DTMs.

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@ARTICLE { St-OngeJumeletCobelloEtAl2004,
    AUTHOR = { St-Onge, B. and Jumelet, J. and Cobello, M. and Vega, C. },
    TITLE = { Measuring individual tree height using a combination of stereophotogrammetry and lidar },
    JOURNAL = { Canadian Journal of Forest Research },
    YEAR = { 2004 },
    VOLUME = { 34 },
    PAGES = { 2122-2130 },
    NUMBER = { 10 },
    NOTE = { 00455067 (ISSN) Cited By (since 1996): 7 Export Date: 25 April 2007 Source: Scopus CODEN: CJFRA doi: 10.1139/X04-093 Language of Original Document: English Correspondence Address: St.-Onge, B.; Department of Geography; Univ. de Que. A Montreal; Centre-Ville Montre?al, Que. H3C 3P8, Canada; email: St-Onge.Benoit@uqam.ca References: Ackermann, F., Airborne laser scanning - Present status and future expectations (1999) ISPRS J. Photogramm. Remote Sens., 54, pp. 64-67; Andrews, G.S., Tree-heights from air photographs by simple parallax measurements (1936) For. Chron., 12, pp. 152-197; Ahokas, E., Kaartinen, H., Hyyppa, J., A quality assessment of airborne laser scanner data. International archives of photogrammetry, remote sensing, and spatial information sciences (2003) Proceedings of the ISPRS Working Group III/3 Workshop "3-D Reconstruction from Airborne Laserscanner and InSAR Data", 34 (PART 3-W13), pp. 1-7. , Dresden, Germany, 8-10 October 2003; Allison, G.W., The accuracy of tree height measurements on various qualities of aerial photographs (1956) For. Chron., 32, pp. 444-450; Andrews, G.S., Tree heights from air photographs by simple parallax measurements (1936) For. Chron., 32, pp. 444-450; Baltsavias, E.P., A comparison of between photogrammetry and laser scanning (1999) ISPRS J. Photogramm. Remote Sens., 54, pp. 83-94; Dubayah, R., Drake, J., Lidar remote sensing for forestry (2000) J. For., 98, pp. 44-46; Hodgson, M.E., Jensen, J.R., Schmidt, L., Shill, S., Davis, B., An evaluation of LIDAR- and IFSAR-derived digital elevation models in leaf-on conditions with USGS Level 1 and Level 2 DEMs (2003) Remote Sens. Environ., 84, pp. 295-308; Gagnon, P.A., Agnard, J.P., Nolette, C., Evaluation of a softcopy photogrammetry system for tree-plot measurement (1993) Can. J. For. Res., 23, pp. 1781-1785; Grandtner, M.M., (1966) La Ve?ge?tation Forestie?re du Que?bec Me?ridional, , Presses de l'Universite? Laval, Que?bec City; Kovats, M., A large scale aerial photographic technique for measuring tree heights on long-term forest installations (1997) Photogramm. Eng. Remote Sens., 63, pp. 741-747; Kraus, K., Pfeifer, N., Determination of terrain models in wooded areas with airborne laser scanner data (1998) ISPRS J. Photogramm. Remote Sens., 53, pp. 193-203; Legendre, P., Legendre, L., (1998) Numerical Ecology. 2nd Ed., , Elsevier, Amsterdam; Lim, K., Treitz, P., Wulder, M., St-Onge, B., Flood, M., LiDAR remote sensing of forest structure (2002) Prog. Phys. Geogr., 27, pp. 88-106; Losee, S.T.B., Timber estimates from large scale photographs (1953) Photogramm. Eng., 19, pp. 752-762; Popescu, S.C., Wynne, R.H., Nelson, R.F., Measuring individual tree crown diameter with lidar and assessing its influence on estimating forest volume and biomass (2003) Can. J. Remote Sens., 29, pp. 564-577; Pothier, D., Savard, F., (1998) Actualisation des Tables de Production Pour Les Principales Espe?ces Forestie?res du Que?bec, , Gouvernement du Que?bec. Report RN98-3054; Reutebuch, S.E., McGaughey, R.J., Andersen, H.-E., Carson, W.W., Accuracy of a high-resolution lidar terrain model under a conifer forest canopy (2003) Can. J. Remote Sens., 29, pp. 527-535; Rowe, J.S., Forest regions of Canada (1972) Can. For. Serv. Publ. 1300; Sheng, Y., Gong, P., Biging, G.S., Model-based conifer-crown surface reconstruction from high-resolution aerial images (2001) Photogramm. Eng. Remote Sens., 67, pp. 957-965; Spurr, S.H., (1960) Photogrammetry and Photo-interpretation. 2nd Ed., , Ronald Press Company, New York; St-Onge, B., Ve?ga, C., Combining stereophotogrammetry and lidar to map forest canopy height (2003) Proceedings of the ISPRS Working Group III/3 Workshop "3-D Reconstruction from Airborne Laserscanner and InSAR Data", 34 (PART 3-W13), pp. 205-210. , Dresden, Germany, 8-10 October 2003; (2004) Electronic Statistics Textbook [Computer Manual], , Tulsa, Okla; Worley, D.P., Landis, G.H., The accuracy of height measurements with parallax instruments on 1:12 000 photographs (1954) Photogramm. Eng., 20, pp. 823-829. },
    ABSTRACT = { Photogrammetric methods using parallaxes can be employed to measure tree heights on aerial photographs. Because it is often impossible to measure ground elevation near trees growing in dense forests, such height measurements remain prone to error. Our objective was to solve this problem by combining a stereomodel and a digital terrain model (DTM) produced by an airborne-scanning system that uses light detection and ranging (lidar). A stereopair of scanned aerial photographs was first registered to a lidar DTM. The elevation of the apex of 202 Thuja occidentalis (L.) individuals was measured by an observer on a digital photogrammetric workstation. The tree base elevations were read from the lidar DTM and subtracted from the corresponding apex elevations to calculate individual tree heights. These were then compared with the heights measured in the field. The average photo-lidar bias was 0.59 m, and the average deviation of 1.01 m decreased to 0.88 m when the bias was removed. It was demonstrated that the photographic clearness of the tree apices influences the height error, while the density of the lidar echoes under the forest canopy does not. Using this method, retrospective studies of changes in tree height become feasible by using archived aerial photographs and recent lidar DTMs. },
    KEYWORDS = { Aerial photography Optical radar Photogrammetry Digital terrain model (DTM) Stereophotogrammetry Tree apices Forestry height lidar measurement method photogrammetry tree Forest Canopy Optical Instruments Photogrammetry Trees Thuja Thuja occidentalis },
    OWNER = { brugerolles },
    TIMESTAMP = { 2007.12.05 },
}

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