Autonomous hyperspectral UAS photogrammetry for environmental monitoring applications
Honkavaara, E., Hakala, T., Markelin, L., Jaakkola, A., Saari, H., Ojanen, H., Pölönen, I., Tuominen, S., Näsi, R., Rosnell, T., & Viljanen, N. (2014). Autonomous hyperspectral UAS photogrammetry for environmental monitoring applications. In C. Toth, T. Holm, & B. Jutzi (Eds.), The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (pp. 155-159). International Society for Photogrammetry and Remote Sensing (ISPRS). ISPRS Archives, XL-1. https://doi.org/10.5194/isprsarchives-XL-1-155-2014
Julkaistu sarjassa
ISPRS ArchivesTekijät
Näsi, R. |
Päivämäärä
2014Tekijänoikeudet
© the Authors. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences are open accees publications, they are published under the Creative Common Attribution 3.0 License.
The unmanned airborne system (UAS) remote sensing using lightweight multi- and hyperspectral imaging sensors offer new
possibilities for the environmental monitoring applications. Based on the accurate measurements of the way in which the object
reflect and emit energy, wide range of affecting variables can be monitored. Condition for reliable applications is reliable and
accurate input data. In many applications, installation of geometric and radiometric reference targets in the object area is challenging,
for instance, in forest or water areas. On the other hand, UASs are often operated in very poor conditions, under clouds or under
variable cloud cover. Our objective is to develop an autonomous hyperspectral UAS imaging system and data processing chain that
does not require any ground reference targets. Prerequisites for this kind of a system are an appropriate sensor setup, stable and wellcalibrated
instruments and rigorous data processing. In this paper, we will describe the new hyperspectral UAS imaging system that
is under development. Important applications for the proposed system include precision agriculture, forest monitoring and water
quality monitoring. Finally, we will consider the use of the system in forest inventory application and present the first results of the
summer 2014 campaigns.
...
Julkaisija
International Society for Photogrammetry and Remote Sensing (ISPRS)Konferenssi
ISPRS Technical Commission I SymposiumKuuluu julkaisuun
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information SciencesAsiasanat
Julkaisu tutkimustietojärjestelmässä
https://converis.jyu.fi/converis/portal/detail/Publication/24027619
Metadata
Näytä kaikki kuvailutiedotKokoelmat
Lisenssi
Ellei muuten mainita, aineiston lisenssi on © the Authors. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences are open accees publications, they are published under the Creative Common Attribution 3.0 License.
Samankaltainen aineisto
Näytetään aineistoja, joilla on samankaltainen nimeke tai asiasanat.
-
Remote Sensing of 3-D Geometry and Surface Moisture of a Peat Production Area Using Hyperspectral Frame Cameras in Visible to Short-Wave Infrared Spectral Ranges Onboard a Small Unmanned Airborne Vehicle (UAV)
Honkavaara, Eija; Eskelinen, Matti; Pölönen, Ilkka; Saari, Heikki; Ojanen, Harri; Mannila, Rami; Holmlund, Christer; Hakala, Teemu; Litkey, Paula; Rosnell, Tomi; Viljanen, Niko; Pulkkanen, Merja (Institute of Electrical and Electronics Engineers, 2016)Miniaturized hyperspectral imaging sensors are becoming available to small unmanned airborne vehicle (UAV) platforms. Imaging concepts based on frame format offer an attractive alternative to conventional hyperspectral ... -
Individual Tree Detection and Classification with UAV-Based Photogrammetric Point Clouds and Hyperspectral Imaging
Nevalainen, Olli; Honkavaara, Eija; Tuominen, Sakari; Viljanen, Niko; Hakala, Teemu; Yu, Xiaowei; Hyyppä, Juha; Saari, Heikki; Pölönen, Ilkka; Imai, Nilton N.; Tommaselli, Antonio M. G. (MPDI, 2017)Small unmanned aerial vehicle (UAV) based remote sensing is a rapidly evolving technology. Novel sensors and methods are entering the market, offering completely new possibilities to carry out remote sensing tasks. ... -
Spectral imaging from UAVs under varying illumination conditions
Hakala, Teemu; Honkavaara, Eija; Saari, Heikki; Mäkynen, Jussi; Kaivosoja, Jere; Pesonen, Liisa; Pölönen, Ilkka (International Society for Photogrammetry and Remote Sensing (ISPRS), 2013)Rapidly developing unmanned aerial vehicles (UAV) have provided the remote sensing community with a new rapidly deployable tool for small area monitoring. The progress of small payload UAVs has introduced greater demand ... -
Assessment of Classifiers and Remote Sensing Features of Hyperspectral Imagery and Stereo-Photogrammetric Point Clouds for Recognition of Tree Species in a Forest Area of High Species Diversity
Tuominen, Sakari; Näsi, Roope; Honkavaara, Eija; Balazs, Andras; Hakala, Teemu; Viljanen, Niko; Pölönen, Ilkka; Saari, Heikki; Ojanen, Harri (MDPI, 2018)Recognition of tree species and geospatial information on tree species composition is essential for forest management. In this study, tree species recognition was examined using hyperspectral imagery from visible to ... -
Discovering knowledge in various applications with a novel hyperspectral imager
Pölönen, Ilkka (University of Jyväskylä, 2013)
Ellei toisin mainittu, julkisesti saatavilla olevia JYX-metatietoja (poislukien tiivistelmät) saa vapaasti uudelleenkäyttää CC0-lisenssillä.