A comparison between LiDAR and photogrammetry digital terrain models in a forest area on Tenerife Island

Canadian Journal of Remote Sensing

Volumn 39, Issue 5, 2013, Pages 396-409

  Gil, Alejandro Lorenzo ^a   Núñez Casillas, Laia ^a   Isenburg, Martin ^b   Benito, Alfonso Alonso ^a   Bello, José Julio Rodrigo ^c   Arbelo, Manuel ^a  

^a Grupo de Observación de la Tierra y la Atmó sfera GOTA   (Spain)

^b RAPIDLASSO GMBH   (Germany)

^c Cartográfica de Canarias GRAFCAN   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

DENSE VEGETATION; DIGITAL TERRAIN MODEL; GROUND ELEVATION; GROUND SURFACES; NON-PARAMETRIC TECHNIQUES; TENERIFE ISLAND; VEGETATION COVER; VISUAL DETECTION;

FORESTRY; OPTICAL RADAR; VEGETATION;

PHOTOGRAMMETRY;

FORESTRY; PHOTOGRAMMETRY; PLANTS; RADAR;

EID: 84889586594     PISSN: 07038992     EISSN: 17127971     Source Type: Journal    
DOI: 10.5589/m13-047     Document Type: Article

References (38)

1. Aguilar, F.J., and Mills, J.P. 2008. Accuracy assessment of lidar-derived digital elevation models. The Photogrammetric Record, Vol. 23, No. 122, pp. 148-169. doi: 10.1111/j.1477-9730.2008.00476.x.
2. Aguilar, F.J., Mills, J.P., Delgado, J., Aguilar, M.A., Negreiros, J.G., and Pérez, J.L. 2010. Modelling vertical error in LiDAR-derived digital elevation models. ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 65, No. 1, pp. 103-110. doi: 10.1016/j.isprsjprs.2009. 09.003.
3. Anderson, E.S., Thompson, J.A., Crouse, A.D., and Austin, E.R. 2006. Horizontal resolution and data density effects on remotely sensed LiDAR-based DEM. Geoderma, Vol. 132, No. 3-4, pp. 406-415. doi: 10.1016/j.geoderma.2005.06.004.
4. Anderson, E.S., Thompson, J.A., and Austin, R.E. 2007. LiDAR density and linear interpolator effects on elevation estimates. International Journal of Remote Sensing, Vol. 26, No. 18, pp. 3889-390. doi: 10. 1080/01431160500181671.
5. Baltsavias, E.P. 1999. A comparison between photogrammetry and laser scanning. ISPRS Journal of Photogrammetry & Remote Sensing, Vol. 54, No. 2-3, pp. 83-94. doi: 10.1016/S0924-2716(99)00014-3.
6. Burrough, P., and McDonnell, A. 1998. Principles of Geographical Information Systems. Oxford University Press, Oxford, England.
7. Barrot Freixat, D., Escriu Paradell, F., Lleopart Grau, A., López García, G., and Rodríguez Pascual, A.F. 2008. Comisión de Normas Cartográficas Consejo Superior Geográfico. Especificaciones de la Base Topográfica Armonizada 1:5000 (BTA) v1.0. Ministerio de Fomento, Gobierno de Espana, Madrid. Report version 1.0.
8. Carter, J., Schmid, K., Waters, K., Betzhold, L., Hadley, B., Mataosky, R., and Halleran, J. 2012. Lidar 101: An introduction to Lidar technology, data and applications. National Oceanic and Atmospheric Administration (NOSS) Coastal Services Center, Charleston.
9. Cuenin, R. 1971. Cartographie Génerale. Eyrolles, Paris.
10. Flood, M. 2004. Vertical Accuracy Reporting for LiDAR data. American Society of Photogrammetry and Remote Sensing Guidelines, Bethesda. Report version 1.0.
11. Hodgson, M.E., Jensen, J.R., Schmidt, L., Schill, S., and Davis, B. 2003. An evaluation of LiDAR-and IFSAR-derived digital elevation models in leaf-on conditions with USGS Level 1 and Level 2 DEMs. Remote sensing of Environment, Vol. 84, No., pp. 295-308. doi: 10.1016/S0034-4257(02)00114-1.
12. Hodgson, M.E., and Bresnahan, P. 2004. Accuracy of airborne lidar-derived elevation: empirical assessment and error budget. Photogrammetric Engineering & Remote Sensing, Vol. 70, No. 3, pp. 331-339.
13. Hogg, A.R., and Holland, J. 2008. An evaluation of DEMs derived from LiDAR and photogrammetry for wetland mapping. The Forestry Chronicle, Vol. 84, No. 6, pp. 840-849.
14. Höhle, J., and Höhle, M. 2009. Accuracy assessment of digital elevation models by means of robust statistical methods. ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 64, No. 5, pp. 398-406.
15. Höhle, J., and Potuckova, M. 2011. Assessment of the quality of digital terrain models. European Spatial Data Research, Frankfurt. Report No. 60.
16. Hyyppä, H., Yu, X., Hyyppä, J., Kaartinen, H., Kaasalainen, S., Honkavaara, E., and Rönnholm, P. 2005. Factors affecting the quality of DTM generation in forested areas. Proceedings of the ISPRS Workshop Laser scanning 2005. Edited by G. Vosselman and C. Brenner. Enschede. pp. 85-90.
17. Karel, W. 2006. DTM quality assessment. International Archives of Photogrammetry and Remote Sensing, Vol. 34, pp. 7-12.
18. Köse, K., Grammalidis, N., Yi{dotless}lmaz, E.E., and Cetina, E. 2008. 3D wildfire simulation system. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. 33, No. B8.
19. Kraus, K., and Pfeifer, N. 1998. Determination of terrain models in wooded areas with airborne laser scanner data. ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 53, No. 4. pp. 193-203. doi: 10.1016/ S0924-2716(98)00009-4.
20. Liu, X., Zhang, Z., Peterson, J., and Chandra, S. 2007. The effect of LiDAR data density on DEM accuracy. In MODSIM07: International Congress on Modelling and Simulation: Land, Water and Environmental Management: Integrated Systems for Sustainability, 10-13 Dec 2007, Christchurch, New Zealand.
21. Maune, F. 2001. Digital Elevation Model Technologies and Applications: The DEM Users Manual. American Society for Photogrammetry and Remote Sensing, Bethesda.
22. Pérez Vega, A., and Mas, J.F. 2008. Evaluación de los errores de modelos digitales de elevación obtenidos por cuatro métodos de interpolación. Investigaciones Geográficas, Boletín del Instituto de Geografía, UNAM, No. 69, 2009, pp. 53-67.
23. Petzold, B., Reiis, P., and Stössel, W. 1999. Laser scanning-surveying and mapping agencies are using a new technique for the derivation of digital terrain models. ISPRS Journal of Photogrammetry & Remote Sensing, Vol. 54, No. 2-3, pp. 95-104. doi: 10.1016/S0924-2716(99)00005-2.
24. Pfeifer, N., Reiter T., Briese, C., and Rieger, W. 1999. Interpolation of high quality ground models from laser scanner data in forested areas. International Archives of Photogrammetry and Remote Sensing, Vol. 32, No. Part 3W14, pp. 31-36.
25. Podobnikar, T. 2009. Methods for visual quality assessment of a digital terrain model. S.A.P.I.E.N.S. Vol. 2, No. 2. Available from http://sapiens. revues.org/738 [Accessed 19 April 2013].
26. Rayburg, S., Thoms, M., and Neave, M. 2009. A comparison of digital elevation models generated from different data sources. Geomorphology, Vol. 106, No. 3-4, pp. 261-270. doi: 10.1016/j.geomorph.2008.11.007.
27. Razali, N.M., and Wah, Y.B. 2011. Power Comparisons of Shapiro-Wilk, Kolmogorov-Smirnov, Lilliefors and Anderson-Darling tests. Journal of Statistical Modeling and Analysis, Vol. 2, No. 1, pp. 21-33.
28. Reutebuch, E., McGaughey, J., Andersens H-E., and Carson W. 2003. Accuracy of a high-resolution LiDAR terrain model under a conifer forest canopy. Canadian Journal of Remote Sensing, Vol. 29, No. 5, pp. 527-535. doi: 10.5589/m03-022.
29. Schumann, G., Matgen, P., Cutler, M.E.J., Black, A., Hoffmann, L., and Pfiste, L. 2008. Comparison of remotely sensed water stages from LiDAR, topographic contours and SRTM. ISPRS journal of photogrammetry and remote sensing, Vol. 63, No. 3, pp. 283-296. doi: 10.1016/ j.isprsjprs.2007.09.004.
30. Sithole, G., and Vosselman, G. 2003. Comparison of filtering algorithms. Available from http://www.isprs.org/proceedings/XXXIV/3-W13/papers/ Sithole-ALSDD2003.pdf. [Accessed 19 April 2013].
31. Spaete, P., Glenn, F., Derryberry, R., Sankey, T., Mitchel J., and Hardegree, P. 2011. Vegetation and slope effects on accuracy of a LiDAR derived DEM in the sagebrush steppe. Remote sensing Letters, Vol. 2, No. 4, pp. 317-326. doi: 10.1080/01431161.2010.515267.
32. Su, J., and Bork, E. 2006. Influence of vegetation, slope and LiDAR sampling angle on DEM accuracy. Photogrammetric Engineering & Remote Sensing, Vol. 72, No. 11, pp. 1265-1274.
33. Vianello, A., Cavalli, M., and Tarolli P. 2009. LiDAR-derived slopes for headwater channel network analysis. Catena, Vol. 76, No. 2, pp. 97-106 doi: 10.1016/j.catena.2008.09.012.
34. Wulder, M.A., Bater, C.W., Coops, N.C., Hilker, T., and White, J.C. 2008. The role of LiDAR in sustainable forest management. The forestry chronicle, Vol. 84. No. 6, pp. 807-826
35. Yu, X., Hyyppä, H., Kaartinen, H., Hyyppä, J., Ahokas, E., and Kaasalainen, S. Applicability of first pulse derived digital terrain models for boreal forest studies. ISPRS WG III/3, III/4, V/3 Workshop "Laser scanning 2005", Enschede, the Netherlands, September 12-14, 2005.
36. Zhang, J. 2002. A comparison of digital photogrammetric and LiDAR high resolution digital elevation models. Department of Geology and Geography. Research project for the degree of Master of Arts in Geography. West Virginia University. Available from http://wvuscholar.wvu. edu:8881//exlibris/dtl/d3-1/apache-media/L2V4bGlicmlzL2R0bC9kM 18xL2FwYWNoZV9tZWRpYS82MjI2.pdf. [Accessed 19 April 2013]
37. Zhang, J.X., Wu, J.Q., Chang, K., Elliot, W.J., and Dun, S. 2009. Effects of DEM source and resolution on wepp hydrologic and erosion simulation: a case study of two forest watersheds in Northern Idaho. American Society of Agricultural and Biological Engine, Vol. 52, No. 2, pp. 447-457
38. Zhao, Z., Benoy, G., Chow L., Rees H., and Daigle J-L. 2010. Impacts of accuracy and resolution of conventional and LiDAR based DEMs on parameters used in hydrologic modeling. Water resources management, Vol. 24, No. 7, pp. 1363-1380. doi: 10.1007/s11269-009-9503-5.