Uusimpia drone-julkaisuja

 

2017

 

Honkavaara, E., Rosnell, T., Oliveira, R., Tommaselli, A. Band registration of tuneable frame format hyperspectral UAV imagers in complex scenes. ISPRS Journal of Photogrammetry and Remote Sensing. Volume 134, December 2017, Pages 96–109. DOI: 10.1016/j.isprsjprs.2017.10.014

 

Tuominen S., Balazs A., Honkavaara E., Pölönen I., Saari H., Hakala T., Viljanen N. Hyperspectral UAV-imagery and photogrammetric canopy height model in estimating forest stand variables. Silva Fennica vol. 51 no. 5 article id 7721. DOI: 10.14214/sf.7721

 

Jaakkola, A., Hyyppä, J., Yu, X., Kukko, A., Kaartinen, H., Liang, X., Hyyppä, H., Wang, Y. Autonomous Collection of Forest Field Reference—The Outlook and a First Step with UAV Laser Scanning. Remote Sensing, 2017, 9, 785. DOI: 10.3390/rs9080785

 

L. Markelin, E. Honkavaara, R. Näsi, N. Viljanen, T. Rosnell, T. Hakala, M. Vastaranta, T. Koivisto, M. Holopainen. Radiometric correction of multitemporal hyperspectral UAS image mosaics of seedling stands. Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3-W3, 113-118, DOI: 10.5194/isprs-archives-XLII-3-W3-113-2017

 

N. Saarinen, M. Vastaranta, R. Näsi, T. Rosnell, T. Hakala, E. Honkavaara, M. A. Wulder, V. Luoma, A. M. G. Tommaselli, N.N. Imai, E. A.W. Ribeiro, R.B. Guimarães, M. Holopainen, J. Hyyppä. UAV-based photogrammetric point clouds and hyperspectral imaging for mapping biodiversity indicators in boreal forests. Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3-W3, 171-175, DOI: 10.5194/isprs-archives-XLII-3-W3-171-2017

 

A. Berveglieri, A.M.G. Tommaselli, E. Honkavaara. Estimating exterior orientation parameters of hyperspectral bands based on polynomial models. Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3-W3, 19-25, DOI: 10.5194/isprs-archives-XLII-3-W3-19-2017

 

N.N. Imai, E.A.S. Morya, E. Honkavaara, G.T. Miyoshi, M.V.A. de Moares, A.M.G. Tommaselli, R. Näsi. Analysis of radiometric response of orange three crown in hyperspectral UAV images. Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3-W3, 73-79, DOI: 10.5194/isprs-archives-XLII-3-W3-73-2017

 

S. Tuominen, R. Näsi, E. Honkavaara, A. Balazsa, T. Hakala, N. Viljanen, I. Pölönen, H. Saari, J. Reinikainen. Tree species recognition in species rich area usin UAV-borne hyperspectral imagery and stereo-photogrammetric point cloud. Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3-W3, 185-194, DOI: 10.5194/isprs-archives-XLII-3-W3-185-2017

 

R. Näsi, N. Viljanen, J. Kaivosoja, T. Hakala, M. Pandzic, L. Markelin, E. Honkavaara. Assessment of various remote sensing technologies in biomass and nitrogen content estimaaation using an agricultural test field. Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3-W3, 137-141, DOI: 10.5194/isprs-archives-XLII-3-W3-137-2017

 

A.-L. Erkkilä, I. Pölönen, A. Lindfors, E. Honkavaara, K. Nurminen, R. Näsi. Choosing of optimal reference samples for boreal lake chlorophyll a concentration modeling using aerial hyperspectral data. Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3-W3, 39-46, DOI: 10.5194/isprs-archives-XLII-3-W3-39-2017

 

W. Liu, J. Atherton, M. Mõttus, A. MacArthur, T. Hakala, K. Maseyk, I. Robinson, E. Honkavaara, A. Porcar-Castell. Upscaling of solar induced chlorophyll fluorescence from leaf to canopy using the DART model and a realistic 3D forest scene. Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3-W3, 107-111, DOI: 10.5194/isprs-archives-XLII-3-W3-107-2017

 

G.T. Miyoshi, N.N. Imai, M.V.A. de Moraes, A.M.G. Tommaselli, R. Näsi. Time series of  image to improve tree species classification. Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3-W3, 123-128, DOI: 10.5194/isprs-archives-XLII-3-W3-123-2017

 

Näsi, R., Honkavaara, E., Hakala, T., Viljanen, N., Peltonen-Sainio, P. How Farmer Can Utilize Drone Mapping? In proceedings of  FIG Working Week 2017: Surveying the world of tomorrow – From digitalisation to augmented reality. Helsinki, Finland, May 29–June 2, 2017. Link

 

Nevalainen, O., Rosnell, T., Hakala, T., Honkavaara, E., Näsi, R., Nurminen, K. Unmanned Aerial Vehicles in Municipality Level 3D Topographic Data Production in Urban Areas. In proceedings of  FIG Working Week 2017: Surveying the world of tomorrow – From digitalisation to augmented reality. Helsinki, Finland, May 29–June 2, 2017. Link FIG Article of the Month: July 2017

 

Khoramshahi, E., Honkavaara, E., Rosnell, T. An Automatic Method for Adjustment of a Camera Calibration Room. In proceedings of  FIG Working Week 2017: Surveying the world of tomorrow – From digitalisation to augmented reality. Helsinki, Finland, May 29–June 2, 2017. Link

 

Nevalainen, O., Honkavaara, E., Tuominen, S., Viljanen, N., Hakala, T., Yu, X.; Hyyppä, J., Saari, H., Pölönen, I., Imai, N.N., Tommaselli, A.M.G. Individual Tree Detection and Classification with UAV-Based Photogrammetric Point Clouds and Hyperspectral Imaging. Remote Sensing, 2017, 9, 185. DOI: 10.3390/rs9030185 Link

 

Chen, Y., Hakala, T., Karjalainen, M., Feng, Z., Tang, J., Litkey, P., Kukko, A., Jaakkola, A., Hyyppä, J. UAV-Borne Profiling Radar for Forest Research. Remote Sensing, 2017; 9(1):58.  DOI:10.3390/rs9010058 Link.

2016

 

de Oliveira, R., Tommaselli, A., Honkavaara, E. Geometric Calibration of a Hyperspectral Frame Camera. The Photogrammetric Record. 31.155 (2016): 325-347. DOI: 10.1111/phor.12153 Link.

 

Nevalainen, O., Honkavaara, E., Hakala T., Kaasalainen, S., Viljanen, N., Rosnell, T., Khoramshahi, E., Näsi, R. Close-range environmental remote sensing with 3D hyperspectral technologies. Proc. SPIE 10005, Earth Resources and Environmental Remote Sensing/GIS Applications VII, 1000503 (October 18, 2016).  DOI: 10.1117/12.2240936 Link

 

Honkavaara, E., Hakala, T., Nevalainen, O., Viljanen, N., Rosnell, T., Khoramshahi, E., Näsi, R., Oliveira, R, Tommaselli, A. Geometric and reflectance signature characterization of complex canopies using hyperspectral stereoscopic images from UAV and terrestrial platforms. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Vol.  XLI-B7, 77-82. DOI: 10.5194/isprs-archives-XLI-B7-77-2016 Link to full text

 

Näsi, R., Honkavaara, E., Tuominen, S., Saari, H., Pölönen, I., Hakala, T., Viljanen, N., Soukkamäki, J., Näkki, I., Ojanen, H., Reinikainen, J. Uas Based Tree Species Identification Using the Novel FPI Based Hyperspectral Cameras in Visible, NIR and SWIR Spectral Ranges. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Vol. XLI-B1, 1143-1148. DOI: 10.5194/isprs-archives-XLI-B1-1143-2016 Link to full text

 

Matikainen, L., Lehtomäki, M., Ahokas, E., Hyyppä, J., Karjalainen, M., Jaakkola, A., Kukko, A., Heinonen, T. Remote sensing methods for power line corridor surveys. ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 119, pp. 10-31. DOI: 10.1016/j.isprsjprs.2016.04.011 Link.

 

Honkavaara, E., Eskelinen, M., Pölönen, I.; Saari, H.; Ojanen, H.; Mannila, R.; Holmlund, C.; Hakala, T.; Litkey, P.; Rosnell, T.; Viljanen, N.; Pulkkanen, M. Remote sensing of 3D geometry and surface moisture of peat production area using hyperspectral frame cameras in visible to short-wave infrared spectral ranges onboard small unmanned airborne vehicle (UAV). IEEE Transactions on Geoscience and Remote Sensing, 54(9). Page(s): 5440 – 5454  DOI: 10.1109/TGRS.2016.2565471 Link to full text

 

Tommaselli, A. M. G., Berveglieri, A., Oliveira, R.A.,  Nagai, L.Y., Honkavaara E. Orientation and calibration requirements for hyperspectral imaging using UAVs: A case study.  Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-3/W4, 109-115, DOI: 10.5194/isprs-archives-XL-3-W4-109-2016 Link to pdf.

 

Oliveira, R.A., Tommaselli, A. M. G., Honkavaara, E., Using Hyperspectral Frame Images from Unmanned Airborne Vehicle for Detailed Measurement of Boreal Forest 3D Structure. IOP Conf. Series: Earth and Environmental Science 44 (2016) 042029 DOI: 10.1088/1755-1315/44/4/042029 Link to full text

2015

 

Näsi, R., Honkavaara, E., Lyytikäinen-Saarenmaa, P., Blomqvist, M., Litkey, P., Hakala, T., Viljanen, N., Kantola, T., Tanhuanpää, T., Holopainen, M. Using UAV-Based Photogrammetry and Hyperspectral Imaging for Mapping Bark Beetle Damage at Tree-Level. Remote Sensing, 2015, 7, 15467-15493. DOI:10.3390/rs71115467 Link.

2014

 

Honkavaara, E., Markelin, L., Hakala, T., Peltoniemi, J., 2014. The Metrology of Directional, Spectral Reflectance Factor Measurements Based on Area Format Imaging by UAVs, PFG 2014 / 3, 0185–0198. Link.

 

Hakala T., Honkavaara E., Markelin L. Hemispherical Directional Reflectance Factor using UAV and a hyperspectral camera, validation and crop field test. Proc SPIE 9239, Remote Sensing for Agriculture, Ecosystems, and Hydrology XVI, Amsterdam, Netherlands, 22 – 25 September 2014. DOI: 10.1117/12.2067269 Link.

 

Pölönen, I., Puupponen H-H., Honkavaara E., Lindfors A., Saari H., Markelin L, Hakala T., Nurminen K. UAV-based hyperspectral monitoring of small freshwater area. Proc SPIE 9239, Remote Sensing for Agriculture, Ecosystems, and Hydrology XVI, Amsterdam, Netherlands, 22 – 25 September 2014. DOI: 10.1117/12.2067422 Link

2013

 

Delalieux, S., Raymaekers, D., Nackaerts, K., Honkavaara, E., Soukkamäki, J., Van Den Borne, J., 2014.  High spatial and spectral remote sensing for detailed mapping of potato plant parameters. WHISPERS, 6th Workshop on Hyperspectral Image and Signal Processing : Evolution in Remote Sensing 24-27 June 2014, Lausanne, Switzerland.

 

Hakala, T.; Honkavaara, E.; Saari, H.; Mäkynen, J.; Kaivosoja, J.; Pesonen, L.; Pölönen, I. Spectral imaging from UAVs under varying illumination conditions. In G. Grenzdörffer, & R. Bill (Eds.), UAV-g2013, 4–6 September 2013, Rostock, Germany (pp. 189-194). Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-1/W2. Link.

 

Honkavaara, E.; Saari, H.; Kaivosoja, J.; Pölönen, I.; Hakala, T.; Litkey, P.; Mäkynen, J.; Pesonen, L. Processing and assessment of spectrometric, stereoscopic imagery collected using a lightweight UAV spectral camera for precision agriculture. Remote Sensing. 2013, 5, 5006-5039. Link.

 

Kaivosoja, J., Pesonen, L., Kleemola, J., Pölönen, I., Salo, H., Honkavaara, E., Saari, H., Mäkynen, J., Rajala, A., 2013.  A case study of a precision fertilizer application task generation for wheat based on classified hyperspectral data from UAV combined with farm history data. In C. Neale, & A. Maltese (Eds.), Remote Sensing for Agriculture, Ecosystems, and Hydrology XV (pp. 88870H). SPIE Conference Proceedings, 8887. SPIE – International Society for Optical Engineering. Link.

 

Lin, Y., Hyyppa, J., Rosnell, T., Jaakkola, A., Honkavaara, E., 2013. Development of a UAV-MMS-Collaborative Aerial-to-Ground Remote Sensing System – A Preparatory Field Validation.  IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 6(4): 1893 – 1898. Link.

 

Pölönen, I., Saari, H., Kaivosoja, J., Honkavaara, E., & Pesonen, L. (2013).  Hyperspectral imaging based biomass and nitrogen content estimations from light-weight UAV.  In C. Neale, & A. Maltese (Eds.), Remote Sensing for Agriculture, Ecosystems, and Hydrology XV. SPIE Conference Proceedings, 8887. SPIE – International Society for Optical Engineering. Link.

 

Saari, H., Pölönen, I., Salo, H., Honkavaara, E., Hakala, T., Holmlund, C., Mäkynen, J., Mannila, R., Antila, T., Akujärvi, A., 2013. Miniaturized hyperspectral imager calibration and UAV flight campaigns.  In R. Meynart, S. P. Neeck, & H. Shimoda (Eds.), Sensors, Systems, and Next-Generation Satellites XVII. SPIE Conference Proceedings, 8889. SPIE – International Society for Optical Engineering. Link.

2012

 

Honkavaara, E., Kaivosoja, J., Mäkynen, J., Pellikka, I., Pesonen, L., Saari, H., Salo, H., Hakala, T., Markelin, L., and Rosnell, T, 2012.  Hyperspectral reflectance signatures and point clouds for precision agriculture by light weight UAV imaging system. ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., I-7, 353-358, doi:10.5194/isprsannals-I-7-353-2012 Link.

 

Honkavara, E., Hakala, T., Saari, H., Markelin, L., Mäkynen, J., Rosnell, T., 2012. A process for radiometric correction of UAV image blocks. Photogrammetrie, Fernerkundung, Geoinformation (PFG) 2/2012. Link.

 

Pölönen, I., Salo, H., Saari, H., Kaivosoja, J., Pesonen, L., & Honkavaara, E. (2012). Biomass estimator for NIR image with a few additional spectral band images taken from light UAS.  In M. S. Kim, S.-I. Tu, & K. Chao (Eds.), Sensing for Agriculture and Food Quality and Safety IV. Proceedings of SPIE, 8369. Bellingham, WA: SPIE. Link.

 

Rosnell, T., Honkavaara, E., 2012. Point Cloud Generation from Aerial Image Data Acquired by a Quadrocopter Type Micro Unmanned Aerial Vehicle and a Digital Still Camera. Sensors, 2012, 12, pp. 453-480. Link.

2010

 

Jaakkola, A., Hyyppä, J., Kukko, A., Yu, X., Kaartinen, H., Lehtomäki, M., Lin, Y. A Low-cost multi sensorial mobile mapping system and its feasibility for tree measurements. ISPRS Journal of Photogrammetry and Remote Sensing. 2010, 65, 514–522. Link.