Mobile mapping – Publications

Refereed publications 2009-2012

Refereed Invited Book Chapters (5)

  1. Hyyppä, J., Zhu, L., Liu, Z., Kaartinen, H., and A. Jaakkola, 2012. 3D City Modeling and Visualization for Smart Phone Applications, 254-296. In: Ubiquitous Positioning and Mobile Location-Based Services in Smart Phones, IGI Global, Ed. Ruizhi Chen, 344 p.
  2. Holopainen, M., Hyyppä, J., Vaario, L-M. and K. Yrjälä, 2010. Implications of Technological Development to Forestry. Invited book chapter. In Mery, G., Katila P, Galloway, G., Alfaro, R.I., Kanninen, M., Lobovikov, M., Varjo, J. (eds.) Forest and Society - Responding to Global Drivers of Change. IUFRO-World Series Volume 25:157-182 (Convening lead authors of the chapter: Hetemäki, L. & Mery, G.)
  3. Gülch, E., Kaartinen, H., and J. Hyyppä, 2009. Quality of Buildings extracted from airborne laser scanning data: results of an empirical investigation on 3D building reconstruction, 535-574. In: Topographic Laser Ranging and Scanning: principles and processing, CRC Press, Taylor & Francis London, Editorit J. Shan ja C. Toth., 590 p.
  4. Hyyppä, J., Wagner, W., Hollaus, M., and H. Hyyppä, 2009. Airborne Laser Scanning. In: The SAGE Handbook of remote sensing, Eds. T. A. Warner, M.D. Nellis, G. M. Foody, SAGE Publications, 568 p.
  5. Hyyppä, J., Hyyppä, H., Yu, X., Kaartinen, H., Kukko, A., and M. Holopainen, 2009. Forest inventory using small-footprint airborne lidar, 335-370. In: Topographic Laser Ranging and Scanning: principles and processing, CRC Press, Taylor & Francis London, Eds. J. Shan ja C. Toth., 590 p.

Refereed Articles in Scientific Journals (79)

  1. Vaaja, M., Kukko, A., Kaartinen, H., Kurkela, M., Kasvi, E., Flener, C., Hyyppä, H., Hyyppä, J., Järvelä, J. and Alho, P., 2013. Data Processing and Quality Evaluation of a Boat-Based Mobile Laser Scanning System. Sensors, 13, 12497-12515. http://www.mdpi.com/1424-8220/13/9/12497
  2. Wang, Y., Liang, X., Flener, C., Kukko, A., Kaartinen, H., Kurkela, M., Vaaja, M., Hyyppä, H. and Alho, P., 2013. 3D Modeling of Coarse Fluvial Sediments Based on Mobile Laser Scanning Data. Remote Sensing, 5(9), 4571-4592. http://www.mdpi.com/2072-4292/5/9/4571
  3. Rönnholm, P., Karjalainen, M., Kaartinen, H., Nurminen, K. and Hyyppä, J., 2013. Relative orientation between a single frame image and LIDAR point cloud using linear features. Photogrammetric Journal of Finland 23(2), pp. 1-16. http://foto.hut.fi/seura/julkaisut/pjf/pjf_e/2013/PJF2013_Ronnholm_et_al.pdf
  4. Holopainen, M., Kankare, V., Vastaranta, M., Liang, X., Lin, Y., Vaaja, M., Yu, X., Hyyppä, J., Hyyppä, H., Kaartinen, H., Kukko, A., Tanhuanpää, T. and Alho, P., 2013. Tree mapping using airborne, terrestrial and mobile laser scanning - a case study in a heterogeneous urban forest. Urban Forestry & Urban Greening. http://www.sciencedirect.com/science/article/pii/S1618866713000617
  5. Lin, Y., Puttonen, E. and Hyyppä, J., 2013. Investigation of Tree Spectral Reflectance Characteristics Using a Mobile Terrestrial Line Spectrometer and Laser Scanner. Sensors, 13, 9305-9320. http://www.mdpi.com/1424-8220/13/7/9305
  6. Lin, Y., Hyyppä, J. and Kukko, A., 2013. Stop-and-Go Mode: Sensor Manipulation as Essential as Sensor Development in Terrestrial Laser Scanning. Sensors, 13, 8140-8154. http://www.mdpi.com/1424-8220/13/7/8140
  7. Lin, Y., Hyyppä, J., Kaartinen, H. and Kukko, A., 2013. Performance Analysis of Mobile Laser Scanning Systems in Target Representation. Remote Sensing, 5, 3140-3155. http://www.mdpi.com/2072-4292/5/7/3140
  8. Liang, X. and Hyyppä, J., 2013. Automatic Stem Mapping by Merging Several Terrestrial Laser Scans at the Feature and Decision Levels. Sensors, 13, 1614-1634. http://www.mdpi.com/1424-8220/13/2/1614
  9. Puttonen, E., Lehtomäki, M., Kaartinen, H., Zhu, L., Kukko, A. and Jaakkola, A., 2013. Improved Sampling for Terrestrial and Mobile Laser Scanner Point Cloud Data. Remote Sensing, 5, 1754-1773. http://www.mdpi.com/2072-4292/5/4/1754
  10. Kankare, V., Holopainen, M., Vastaranta, M., Puttonen, E., Yu, X., Hyyppä, J., Vaaja, M., Hyyppä, H. and Alho, P., 2013. Individual tree biomass estimation using terrestrial laser scanning. ISPRS Journal of Photogrammetry and Remote Sensing, 75, 64-75. http://www.sciencedirect.com/science/article/pii/S0924271612001876
  11. Vastaranta, M., Kantola, T., Lyytikäinen-Saarenmaa, P., Holopainen, M., Kankare, V., Wulder, M., Hyyppä, J. and Hyyppä, H., 2013. Area-based mapping of defoliation of Scots pine stands using airborne scanning LiDAR. Remote Sensing, 5(3). http://www.mdpi.com/2072-4292/5/3/1220/
  12. Vauhkonen, J., Hakala, T., Suomalainen, J., Kaasalainen, S., Nevalainen, O., Vastaranta, Holopainen, M. and Hyyppä, J., 2013. Classification of Spruce and Pine Trees Using Active Hyperspectral LiDAR. IEEE Geoscience and Remote Sensing Letters, 99, 1-4.
  13. Hellesen, T. and Matikainen, L., 2013. An object-based approach for mapping shrub and tree cover on grassland habitats by use of LiDAR and CIR orthoimages. Remote Sensing, Vol. 5, No. 2, pp. 558-583. http://www.mdpi.com/2072-4292/5/2/558
  14. Yu, X., Liang, X., Hyyppa, J., Kankare, V., Vastaranta, M. and Holopainen, M., 2013. Stem biomass estimation based on stem reconstruction from terrestrial laser scanning point clouds. Remote Sensing Letters 4(4), 344-353. doi: 10.1080/2150704X.2012.734931.
  15. Hyyppä,J., Holopainen, M. and Olsson, H., 2012. Editorial: Laser Scanning in Forests. Remote Sensing 2012, 4(10), 2919-2922. http://www.mdpi.com/2072-4292/4/10/2919
  16. Lin, Y, Hyyppä, J., Jaakkola, A. and Holopainen, M., 2012.Characterization of mobile LiDAR data collected with multiple echoes per pulse from crowns during foliation. Scandinavian Journal of Forest Research, 27:3, 298-311. http://www.tandfonline.com/doi/abs/10.1080/02827581.2011.635154
  17. Järnstedt, J., Pekkarinen, A., Tuominen, S., Ginzler, C., Holopainen, M. and Viitala, R., 2012. Forest variable estimation using a high-resolution digital surface model. ISPRS Journal of Photogrammetry and Remote Sensing, 74, 78-84.
  18. Vastaranta, M., Korpela, I., Uotila, A., Hovi, A. and Holopainen, M., 2012. Mapping of snow-damaged trees in bi-temporal airborne LiDAR data. European Journal of Forest Research, 131, 1217–1228, DOI: 10.1007/s10342-011-0593-2
  19. Matikainen, L. 2012. Object-based interpretation methods for mapping built-up areas. Doctoral dissertation, Aalto University School of Engineering. Publications of the Finnish Geodetic Institute N:o 147, Kirkkonummi, 210 p. http://lib.tkk.fi/Diss/2012/isbn9789517112932/isbn9789517112932.pdf
  20. Lin, Y. and Hyyppä, J., 2012. Multiecho-Recording Mobile Laser Scanning for Enhancing Individual Tree Crown Reconstruction. IEEE Transactions on Geoscience and Remote Sensing 50(11), 4323-4332. doi: 10.1109/TGRS.2012.2194503.
  21. Kasvi, E., Vaaja, M., Alho, P., Hyyppä, H., Hyyppä, J., Kaartinen, H. and Kukko, A., 2012. Morphological changes on meander point bars associated with flow structure at different discharges. Earth Surface Processes and Landforms. doi: 10.1002/esp.3303. http://onlinelibrary.wiley.com/doi/10.1002/esp.3303/abstract
  22. Liang, X., Hyyppä, J., Kaartinen, H., Holopainen, M. and Melkas, T., 2012. Detecting Changes in Forest Structure over Time with Bi-Temporal Terrestrial Laser Scanning Data. ISPRS International Journal of Geo-Information 1(3), 242-255. http://www.mdpi.com/2220-9964/1/3/242
  23. Kaartinen, H., Hyyppä, J., Kukko, A., Jaakkola, A. and Hyyppä, H., 2012. Benchmarking the Performance of Mobile Laser Scanning Systems Using a Permanent Test Field. Sensors 12(9), 12814-12835. http://www.mdpi.com/1424-8220/12/9/12814
  24. Lin, Y., Hyyppä, J., Kukko, A., Jaakkola, A. and Kaartinen, H., 2012. Tree Height Growth Measurement with Single-Scan Airborne, Static Terrestrial and Mobile Laser Scanning. Sensors 12(9), 12798-12813. http://www.mdpi.com/1424-8220/12/9/12798
  25. Kukko, A., Kaartinen, H., Hyyppä, J. and Chen, Y., 2012. Multiplatform Mobile Laser Scanning: Usability and Performance. Sensors 12(9), 11712-11733. http://www.mdpi.com/1424-8220/12/9/11712
  26. Hyyppä, J., Yu, X., Hyyppä, H., Vastaranta, M., Holopainen, M., Kukko, A., Kaartinen, H., Jaakkola, A., Vaaja, M., Koskinen, J., and Alho, P., 2012. Advances in Forest Inventory Using Airborne Laser Scanning. Remote Sensing 4(5), 1190-1207. http://www.mdpi.com/2072-4292/4/5/1190
  27. Kaartinen, H., Hyyppä, J., Yu, X., Vastaranta, M., Hyyppä, H., Kukko, A., Holopainen, M., Heipke, C., Hirschmugl, M., Morsdorf, F., Næsset, E., Pitkänen, J., Popescu, S., Solberg, S., Wolf, B.M., and Wu, J.-C., 2012. An International Comparison of Individual Tree Detection and Extraction Using Airborne Laser Scanning. Remote Sensing 4(4), 950-974. http://www.mdpi.com/2072-4292/4/4/950
  28. Karjalainen, M., Kankare, V., Vastaranta, M., Holopainen, M., and Hyyppä, J., 2012. Prediction of plot-level forest variables using TerraSAR-X stereo SAR data. Remote Sensing of Environment Vol. 117, 338-347.
  29. Lin, Y., Hyyppä, J., Jaakkola, A. and Yu, X., 2012. Three-level frame and RD-schematic algorithm for automatic detection of individual trees from MLS point clouds. International Journal of Remote Sensing, Vol. 33(6), 1701-1716; doi: 10.1080/01431161.2011.599349.
  30. Lin, Y., and Hyyppä, J., 2012. Automatic extraction of parallel edges based on eigenvalue analysis and collateral expansion. International Journal of Remote Sensing, Vol. 33(2), 382-395; doi: 10.1080/01431161.2010.532517.
  31. Vastaranta, M., Kankare, V., Holopainen, M., Yu, X., Hyyppä, J., Hyyppä, H. 2012. Combination of individual tree detection and area-based approach in imputation of forest variables using airborne laser data. ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 67, 73-79.
  32. Liang, X., Litkey, P., Hyyppä, J., Kaartinen, H., Vastaranta, M., and M. Holopainen, 2012. Automatic stem-location mapping using single-scan terrestrial laser scanning data in plot-wise forest inventory. IEEE Trans. Geosci. Remote Sensing, 50(2), 661-670.
  33. Alho, P., Vaaja, M., Kukko, A., Kasvi, E., Kurkela, M., Hyyppä, J., Hyyppä, H., and H. Kaartinen, 2011. Mobile mapping with laser scanning in fluvial geomorphology, Annals of Geomorphology, Supplementary Issues, 55(2), 31-50.
  34. Kantola, T., Vastaranta, M., Yu, X., Lyytikäinen-Saarenmaa, P., Holopainen, M., Talvitie, M., Solberg, S. and J. Hyyppä, 2011. Classification accuracy of the needle loss of individual Scots pines from airborne laser point clouds. Submitted to Forestry.
  35. Lin, Y., Hyyppä, J., and A. Jaakkola, 2011. Mini-UAV-Borne LIDAR for Fine-Scale Mapping. IEEE Geoscience and Remote Sensing Letters, 8(3), 426-430.
  36. Lin, Y., and J. Hyyppä, 2011. k-segments-based Geometric Modeling of VLS Scan Lines. IEEE Geoscience and Remote Sensing Letter 8(1), 93-97.
  37. Puttonen, E., Jaakkola A., Litkey, P., and J. Hyyppä, 2011. Tree Classification with Fused Mobile Laser Scanning and Hyperspectral Data. Sensors 11(5), 5158-5182. http://www.mdpi.com/1424-8220/11/5/5158/pdf
  38. Vaaja, M., Hyyppä, J., Kukko, A., Kaartinen, H., Hyyppä, H., and P. Alho, 2011. Mapping Topography Changes and Elevation Accuracies Using a Mobile Laser Scanner, Remote Sensing 2011, 3 587-600. http://www.mdpi.com/2072-4292/3/3/587/
  39. Vastaranta, M., Holopainen, M., Yu, X., Hyyppä, J., Hyyppä, H. and R. Viitala, 2011. Predicting stand-thinning maturity from airborne laser scanning data. Scandinavian Journal of Forest Research 26(2), 187-196. DOI:10.1080/02827581.2010.547870, http://dx.doi.org/10.1080/02827581.2010.547870
  40. Yu, X., Hyyppä, J., Vastaranta, M. Holopainen, M. and R. Viitala, 2011. Predicting individual tree attributes from airborne laser point clouds based on random forest technique. ISPRS Journal of Photogrammetry and Remote Sensing 66, 28-37. Doi:10.1016/j.isprsjprs.2010.08.003.
  41. Zhu, L., Hyyppä, J., Kukko, A., Kaartinen H., and R. Chen, 2011. Photorealistic building construction from mobile laser scanning data. Remote Sens. 2011, 3, 1406-1426. http://www.mdpi.com/2072-4292/3/7/1406/pdf
  42. Liang, X., Litkey, P., Hyyppä, J., Kaartinen, H., Kukko A., and M. Holopainen, 2011. Automatic plot-wise tree detection using single-scan terrestrial laser scanning. The Photogrammetric Journal of Finland 22(2). http://foto.hut.fi/seura/julkaisut/pjf/pjf_e/2011/PJF2011_Liang_et_al.pdf
  43. Chen, R., Kuusniemi, H., Hyyppä, J., Zhang, J., Takala, J., Kuittinen, R., Chen, Y., Pei, L., Liu, Z., Zhu, L., Liu, J., Qin, Y., Leppäkoski, H., and J. Wang, 2010. Going 3D personal nav and LBS. GPS World 21 (2), 14-18.
  44. Chen Y., Räikkönen, E., Kaasalainen, S., Suomalainen, J., Hakala, T., Hyyppä, J., and R. Chen, 2010. Two-channel hyperspectral LiDAR with a supercontinuum laser source. Sensors 10(7), 7057-7066.
  45. Holopainen M., Haapanen, E., Karjalainen, M., Vastaranta, M., Hyyppä, J., Yu, X., Tuominen S., and H. Hyyppä, 2010. Comparing Accuracy of Airborne Laser Scanning and TerraSAR-X Radar Images in the Estimation of Plot-Level Forest Variables. Remote Sensing 2010, 2(2), 432-445. http://www.mdpi.com/2072-4292/2/2/432/
  46. Holopainen, M., Mäkinen, A., Rasinmäki, J., Hyyppä, J., Hyyppä, H., Kaartinen, H., Viitala R., Vastaranta, M. and A. Kangas, 2010. Effect of tree level airborne laser scanning accuracy on the timing and expected value of harvest decisions. European Journal of Forest Research 29(2010), 899-910. http://www.springerlink.com/content/m15jw7633p16g552/
  47. Holopainen, M., Vastaranta, M., Haapanen, R., Yu, X., Hyyppä, J., Kaartinen, H., Viitala, R. and H. Hyyppä, 2010. Site-type estimation using airborne laser scanning and stand register data. The Photogrammetric Journal of Finland 22(1), 16-32. http://foto.hut.fi/seura/julkaisut/pjf/pjf_e/2010/PJF2010_Holopainen_et_al.pdf
  48. Holopainen, M., Vastaranta, M. Rasinmäki, J., Kalliovirta, J., Mäkinen, A., Haapanen, R. Melkas, T., Yu, X., and J. Hyyppä, 2010. Uncertainty in timber assortment estimates predicted from forest inventory data. European Journal of Forest Research 129, 1131-1142. DOI10.1007/s10342-010-0401-4. http://www.springerlink.com/content/39kn2u17h34v34v3/
  49. Jaakkola, A., Hyyppä, J., Kukko, A., Yu, X., Kaartinen, M., Lehtomäki, M., and Y. Lin, 2010, A low-cost multi-sensoral mobile mapping system and its feasibility for tree measurements. ISPRS journal of Photogrammetry and Remote Sensing 65 (6), 514-522.
  50. Kaasalainen, S., Pyysalo, U., Krooks, A., Vain, A., Kukko, A., and J. Hyyppä, 2010. The effect of radiometric calibration on the accuracy of airborne laser scanner intensity data. Submitted to ISPRS Journal of Photogrammetry and Remote Sensing.
  51. Kantola, T., Vastaranta, M., Yu, X., Lyytikäinen-Saarenmaa, P., Holopainen, M., Talvitie, M., Kaasalainen, S., Solberg, S. and J. Hyyppä, 2010. Classification of defoliated trees using tree-level airborne laser scanning data combined with aerial images. Remote Sensing 2, 2665-2679. doi:10.3390/rs2122665. http://www.mdpi.com/2072-4292/2/12/2665/pdf
  52. Korpela I., Orka, H., Hyyppa, J., Heikkinen, V., and T. Tokola, 2010. Range and AGC normalization in airborne discrete-return LiDAR intensity data for forest canopies. ISPRS Journal of Photogrammetry and Remote Sensing 65(4), 369-379. JUL 2010.
  53. Korpela, I., Orka H., Maltamo, M., Tokola, T., and J. Hyyppä, 2010. Tree Species Classification Using Airborne LiDAR - Effects of Stand and Tree Parameters, Downsizing of Training Set, Intensity Normalization, and Sensor Type. Silva Fennica 44 (2), 319-339.
  54. Laurila H., Karjalainen, M., Hyyppä, J., and J. Kleemola, 2010. Integrating Vegetation Indices Models and Phenological Classification with Composite SAR and Optical Data for Cereal Yield Estimation in Finland (Part I). Remote Sensing 2010, 2(1), 76-114. http://www.mdpi.com/2072-4292/2/1/76/
  55. Laurila, H., Karjalainen, M., Hyyppä, J., and J. Kleemola, 2010. Integrating Vegetation Indices Models and Phenological Classification with Composite SAR and Optical Data for Cereal Yield Estimation in Finland (Part II). Remote Sensing, in press.
  56. Laurila, H., Karjalainen, M., Hyyppä, J., and J. Kleemola, 2010. Cereal Yield Modeling in Finland Using Optical and Radar Remote Sensing. Remote Sensing 2(9), 2185-2239. doi:10.3390/rs2092185.
  57. Lehtomäki M., Jaakkola, A.,Hyyppä, J., Kukko A., and H. Kaartinen, 2010, Detection of Vertical Pole-Like Objects in a Road Environment Using Vehicle-Based Laser Scanning Data. Remote Sensing 2010, 2(3), 641-664. http://www.mdpi.com/2072-4292/2/3/641/
  58. Lin Y., Jaakkola, A., Hyyppä, J., and H. Kaartinen, 2010. From TLS to VLS: Biomass Estimation at Individual Tree Level. Remote Sensing 2010, 2(8), 1864-1879. http://www.mdpi.com/2072-4292/2/8/1864/
  59. Lin, Y., Hyyppä, J., Jaakkola, A., and X. Yu, 2010. Three-level frame and RD-schematic algorithm for automatic recognition of individual trees from VLS point clouds. International Journal of Remote Sensing, in press.
  60. Matikainen L., Hyyppä, J., Ahokas, E., Markelin, L., and H. Kaartinen, 2010. Automatic Detection of Buildings and Changes in Buildings for Updating of Maps. Remote Sensing 2010, 2(5), 1217-1248. http://www.mdpi.com/2072-4292/2/5/1217/
  61. Puttonen E., Litkey, P., and J. Hyyppä, 2010. Individual Tree Species Classification by Illuminated-Shaded Area Separation. Remote Sensing 2010, 2(1), 19-35. http://www.mdpi.com/2072-4292/2/1/19/
  62. Vain, A., Yu, X., Kaasalainen, S., and J. Hyyppä, 2010. Correcting airborne laser scanning intensity data for Automatic Gain Control effect. IEEE Geoscience and Remote Sensing Letters 7(3), 511-514.
  63. Vastaranta, M., Holopainen, M., Haapanen, R., Yu, X., Melkas, T., Hyyppä, H. and J. Hyyppä, 2010. Airborne laser scanning methods in forest inventory characteristics retrieval. Submitted to Silva Fennica.
  64. Yu, X., Hyyppä, J., Holopainen, M., and M. Vastaranta, 2010. Comparison of Area-Based and Individual Tree-Based Methods for Predicting Plot-Level Forest Attributes. Remote Sensing 2010, 2(6), 1481-1495. http://www.mdpi.com/2072-4292/2/6/1481/
  65. Yu, X., Hyyppä, J., Vastaranta, M., Holopainen, M., and R. Viitala, 2010. Predicting individual tree attributes from airborne laser point clouds based on random forests technique. ISPRS Journal of Photogrammetry and Remote Sensing 66 (1), 28-37. http://dx.doi.org/10.1016/j.isprsjprs.2010.08.003.
  66. Alho, P., Hyyppä H., and J. Hyyppä, 2009. Consequence of DTM Precision for Flood Hazard Mapping: A Case Study in SW Finland. Nordic Journal of Surveying and Real Estate Research, Vol. 6(1), 21-39.
  67. Alho, P., Kukko, A., Hyyppä, H., Kaartinen, H. and J. Hyyppä, 2009. Application of Boat-based Laser Scanning for River Survey. Earth Surface Processes and Landforms (Letters to ESEX) 34(13), 1831-1838.
  68. Chen, Y, Andrei, C.-O., Kukko, A., Chen, R., Hyyppä, J., Kaartinen, H., Pöntinen, P., Hyyppä, H., Haggrén, H., and I. Kosonen, 2009. Bi-trigger Synchronization Method to Enhance the Performance of Mobile Mapping System. Photogrammetric Journal of Finland 21(2), 3-12.
  69. Holopainen, M., Tuominen, S., Karjalainen, M., Hyyppä, J., Vastaranta, M., and H. Hyyppä, 2009. Accuracy of high-resolution radar images in the estimation of plot-level forest variables. In Sester, M., Bernard, L., and V. Paelke (eds.). Advances in GIScience. Lecture notes in geoinformation and cartography. Springer 2009, 67-82.
  70. Holopainen, M., Vastaranta, M., Mäkinen, A., Rasinmäki, J., Hyyppä, J., Hyyppä, H. and H. Kaartinen, 2009. The use of tree level ALS data in forest management planning simulations. The Photogrammetric Journal of Finland 1/2009, 13-25.
  71. Kaasalainen, S., Hyyppä, H., Kukko, A., Litkey, P., Ahokas, E., Hyyppä, J., Lehner, H., Jaakkola, A., Suomalainen, J., Akujärvi, A., Kaasalainen, M., and U. Pyysalo, 2009. Radiometric calibration of LIDAR intensity with commercially available reference targets. IEEE Trans. Geosci. Remote Sensing 47(2), 588-598.
  72. Kaasalainen, S., Krooks, A., Kukko, A., and Kaartinen, H., 2009. Radiometric Calibration of Terrestrial Laser Scanners with External Reference Targets. Remote Sensing 1(3), 144-158. http://www.mdpi.com/2072-4292/1/3/144/pdf
  73. Kukko, A., and J. Hyyppa, 2009. Small-footprint laser scanning simulator for system validation, error assessment, and algorithm development. Photogrammetric Engineering and Remote Sensing 75 (10), 1177-1189.
  74. Matikainen, L., Hyyppä, J., and H. Kaartinen, 2009. Comparison between first pulse and last pulse laser scanner data in the automatic detection of buildings. Photogrammetric Engineering and Remote Sensing 75(2), 133-146.
  75. Rönnholm, P., M. Nuikka, A. Suominen, P. Salo, H. Hyyppä, P. Pöntinen, H. Haggrén, M. Vermeer, J. Puttonen, H. Hirsi, A. Kukko, H. Kaartinen, J. Hyyppä, and A. Jaakkola, 2009. Comparison of measurement techniques and static theory applied to concrete beam deformation. The Photogrammetric Record 24(128), 351-371.
  76. Rönnholm, P., H. Hyyppä, J. Hyyppä and H. Haggrén, 2009. Orientation of Airborne Laser Scanning Point Clouds with Multi-View, Multi-Scale Image Blocks. Sensors 9(8), 6008-6027. doi:10.3390/s90806008
  77. Holopainen, M., Vastaranta, M., Mäkinen, A., Rasinmäki, J., Hyyppä, J., Hyyppä, H., and H. Kaartinen, 2009. The Use of Tree Level ALS Data in Forest Management Planning Simulations. Photogrammetric Journal of Finland 21(2), 13-25.
  78. Vain, A., Kaasalainen, S., Hyyppä, J., and E. Ahokas, 2009. Calibration of laser scanning intensity data using brightness targets. The method developed by the Finnish Geodetic Institute. Geodesy and Cartography 35 (3), 77-81.
  79. Vastaranta, M., Melkas, T., Holopainen, M., Kaartinen, H., Hyyppä, J., and H. Hyyppä, 2009. Laser-Based Field Measurements in Tree-Level Forest Data Acquisition. Photogrammetric Journal of Finland 21(2), 51-61.

Refereed Conference Proceedings (24)

  1. Matikainen, L., Karila, K., Litkey, P., Ahokas, E., Munck, A., Karjalainen, M., Hyyppä, J. 2012. The challenge of automated change detection: Developing a method for the updating of land parcels. XXII ISPRS Congress, Melbourne, Australia, 25 August – 1 September 2012. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. I-4, pp. 239-244.
  2. Saarela, S., Kangas, A., Tuominen, S., Holopainen, M., Hyyppä, J., Vastaranta, M. and

    Kankare, V., 2012. Comparing performances of ALS and Landsat 7 ETM+ satellite optical data in stratification-based sampling method for large-area forest inventory. SilviLaser 2012 proceedings, 16-19 September 2012 Vancouver, Canada.
  3. Tanhuanpää, T., Vastaranta, M., Holopainen, M., Kankare, V., Raisio, J., Alho, P. Hyyppä, J. and Hyyppä, H., 2012. Mapping and monitoring urban trees using airborne scanning LiDAR and tree register data. In Coops, N. & Wulder, M. (Eds.) SilviLaser 2012 proceedings, 16-19 September 2012 –Vancouver, Canada.
  4. Vastaranta, M., Holopainen, M., Hyyppä, J., Karjalainen, M. and Hyyppä, H.,  2012. Forest mapping and monitoring using active 3D remote sensing –review of a PhD thesis.In Coops, N. and Wulder, M (eds.). SilviLaser 2012 proceedings, 16-19 September 2012 –Vancouver, Canada.
  5. Vastaranta, M., Holopainen, M., Karjalainen, M., Kankare, V., Hyyppä, J., Kaasalainen,S.and Hyyppä, H., 2012. SAR radargrammetry and scanning LiDAR in predicting forest canopy height. Proceedings of IEEE International Geoscience and Remote Sensing Symposium 22-27.7.2012,Munich, Germany.
  6. Holopainen, M., Vastaranta, M., Kankare, M., Räty, M, Vaaja, M., Liang, X., Yu,X., Hyyppä, J., Hyyppä, H., Kaasalainen, S., Viitala, R. 2011. Biomass estimation of individual trees using TLS stem and crown diameter measurements, Laser Scanning 2011, in press.
  7. Kankare, V., Vastaranta, M., Yu, X., Holopainen, M., Hyyppä, J., Hyyppä, H. 2011. The fusion of individual tree detection and visual interpretation in assesment of forest variables from laser point clouds. Laser Scanning 2011, in press.
  8. Holopainen, M., Vastaranta, M., Kankare, V., Kantola, T., Kaartinen, H., Kukko, A., Vaaja, M., Hyyppä, J., Hyyppä H., 2011c. Mobile terrestrial laser scanning in urban tree inventory. SilviLaser2011, in press.
  9. Liang, X., Hyyppä, J., Kankare, V. & Holopainen, M. 2011. Stem curve measurement using terrestrial laser scanning, Silvilaser 2011, in press.
  10. Kantola, T., Lyytikäinen-Saarenmaa, P, Vastaranta, M., Kankare, V., Yu, X., Holopainen, M., Talvitie, M., Solberg, S., Puolakka, P., Hyyppä, J., 2011. Using high density ALS data in plot level estimation of the defoliation by the Common pine sawfly. Silvilaser 2011, in press.
  11. Räty, M., Kankare, V., Yu, X., Holopainen, M., Vastaranta, M., Kantola, T., Hyyppä, J., Viitala, R., 2011. Tree biomass estimation using ALS features, Silvilaser 2011, in press.
  12. Holopainen, M., Vastaranta, M., Kankare, V., Hyyppä, J., Liang, X., Litkey, P., Yu, X., Kaartinen, H., Kukko, A., Kaasalainen, S., Hyyppä, H. Vaaja, M. and A. Jaakkola, 2011. The use of ALS, TLS and VLS measurements in mapping and monitoring urban trees. In: Stilla, U., Gamba, P., Juergens, C.& Maktav, D. (Eds) JURSE 2011 - Joint Urban Remote Sensing Event - Munich, Germany, April 11-13, 2011.
  13. Ahokas E., Hyyppä J., Kaartinen H., Kukko A., Kaasalainen S., and A. Krooks, 2010. The effect of biomass and scanning angle on laser beam transmittance. International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, Vienna, Austria, Vol. 38(7A), 1-6. http://www.isprs.org/proceedings/XXXVIII/part7/a/pdf/1_XXXVIII-part7A.pdf
  14. Holopainen, M., Vastaranta, M. Rasinmäki, J., Kalliovirta, J., Mäkinen, A., Haapanen, R. Melkas, T., Yu, X., Hyyppä, J. and H. Hyyppä, 2010. Estimation of timber assortments using low-density ALS data. In: Wagner, W., Székely, B. (eds.): ISPRS TC VII Symposium - 100 years ISPRS, Vienna, Austria, July 5-7, 2010. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Volume XXXVIII, Part 7A:59-64. http://www.isprs.org/proceedings/XXXVIII/part7/a/pdf/59_XXXVIII-part7A.pdf
  15. Kaasalainen, S., Hyyppä, J., Krooks, A. Karjalainen, M., Lyytikäinen-Saarenmaa, P., Holopainen, M, and A. Jaakkola, 2010. Comparison of terrestrial laser scanner and Synthetic aperture radar data in the study of forest defoliation. ISPRS Commission VII Symposium, July 5-7, 2010, Vienna, Austria. http://www.isprs.org/proceedings/XXXVIII/part7/a/pdf/82_XXXVIII-part7A.pdf
  16. Chen, R., Hyyppä, J. Takala, J. Zhang, J., Wang, J., Liu, Z., Pei, L., Chen, Y., Kuusniemi, H., Liu, J., Zhu, L., Leppäkoski, H., and R. Kuittinen, 2009. Development of a smart phone based 3D personal navigation and LBS system. In Proceedings of IAIN 2009 World Congress, Stockholm, Sweden, 27-30.10.2009.
  17. Holopainen, M., Vastaranta, M., Yu, X., Hyyppä, J., Kaartinen, H. and H. Hyyppä, 2009. Forest site type classification using single tree level Airborne Laser Scanning. In Popescu, S., Nelson, R., Zhao, K. & Neuemschwander, A. (Eds.). Silvilaser 2009 proceedings, 72-80.
  18. Holopainen, M., Haapanen, R., Karjalainen, M., Vastaranta, M., Hyyppä, J., Yu, X., Tuominen, S., and H. Hyyppä, 2009. Combination of Low Pulse ALS Data and TerraSAR-X Radar Images in the Estimation of Plot-Level Forest Variables. Proceedings of the ISPRS Workshop 'Laserscanning 2009', Editors: F. Bretar, M. Pierrot-Deseilligny, G. Vosselman, Paris, France, 1-2 September 2009. International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. XXXVIII (3 / W8), 135-140.
  19. Liang, X., Litkey, P., Hyyppä, J., Kaartinen, H., Vastaranta, M., and. M. Holopainen, 2009. Automatic stem location mapping using TLS for plot-wise forest inventory. SilviLaser 2009, Oct. 14-16, 2009 - College Station, Texas, USA.
  20. Matikainen, L., Hyyppä, J., Ahokas, E., Markelin, L., and H. Kaartinen, 2009. An improved approach for automatic detection of changes in buildings. Proceedings of the ISPRS Workshop 'Laserscanning 2009', Editors: F. Bretar, M. Pierrot-Deseilligny, G. Vosselman, Paris, France, 1-2 September 2009. International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. XXXVIII, Part 3/W8, 61-67.
  21. Melkas, T., Vastaranta. M., Haapanen, R., Holopainen, M., Yu, X., Hyyppä, J., and H. Hyyppä, 2009. Updating forest resource data by using ALS measurements and information collected with a harvester. In Popescu, S., Nelson, R., Zhao, K. & Neuemschwander, A. (Eds.). Silvilaser 2009 proceedings, 128-136.
  22. Puttonen, E., Litkey, P., and J. Hyyppä, 2009. Usability of a sunlit-shaded area separation in individual tree species classification. Proceedings of the ISPRS Workshop 'Laserscanning 2009', Editors: F. Bretar, M. Pierrot-Deseilligny, G. Vosselman, Paris, France, 1-2 September 2009. International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. XXXVIII, Part 3/W8, 311 - 316.
  23. Vastaranta, M., Holopainen, M., Haapanen, R., Yu, X., Melkas, M., Hyyppä, J., and H. Hyyppä, 2009. Comparison between an area-based and individual tree detection method for low-pulse density ALS-based forest inventory. Proceedings of the ISPRS Workshop 'Laserscanning 2009', Editors: F. Bretar, M. Pierrot-Deseilligny, G. Vosselman, Paris, France, 1-2 September 2009. International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. XXXVIII, Part 3/W8, 147-151.
  24. Zhu, L., Jaakkola, A., Hyyppä, H., Hyyppä, J., and R. Chen, 2009. Vehicle-based laser scanning data quality improvement by integrating photogrammetric means. ISPRS, International Workshop on Multidimensional & Mobile Data Model, 21 - 22 October 2009, UTM Johor, Malaysia.