Zobrazeno 1 - 10
of 40
pro vyhledávání: '"Niko Viljanen"'
Autor:
Tuomas Yrttimaa, Ninni Saarinen, Ville Kankare, Niko Viljanen, Jari Hynynen, Saija Huuskonen, Markus Holopainen, Juha Hyyppä, Eija Honkavaara, Mikko Vastaranta
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 9, Iss 5, p 309 (2020)
Terrestrial laser scanning (TLS) provides a detailed three-dimensional representation of surrounding forest structures. However, due to close-range hemispherical scanning geometry, the ability of TLS technique to comprehensively characterize all tree
Externí odkaz:
https://doaj.org/article/7f947747d1424ab39f6db4a462718809
Autor:
Roope Näsi, Eija Honkavaara, Päivi Lyytikäinen-Saarenmaa, Minna Blomqvist, Paula Litkey, Teemu Hakala, Niko Viljanen, Tuula Kantola, Topi Tanhuanpää, Markus Holopainen
Publikováno v:
Remote Sensing, Vol 7, Iss 11, Pp 15467-15493 (2015)
Low-cost, miniaturized hyperspectral imaging technology is becoming available for small unmanned aerial vehicle (UAV) platforms. This technology can be efficient in carrying out small-area inspections of anomalous reflectance characteristics of trees
Externí odkaz:
https://doaj.org/article/b15c7712897d40e7b285d5ced0815381
Autor:
Sakari Tuominen, Andras Balazs, Eija Honkavaara, Ilkka Pölönen, Heikki Saari, Teemu Hakala, Niko Viljanen
Publikováno v:
Metsätieteen aikakauskirja, Vol 2017 (2017)
Externí odkaz:
https://doaj.org/article/1f31e8b52f2342edb09f797c80694250
Autor:
Juha Suomalainen, Teemu Hakala, Raquel Alves de Oliveira, Lauri Markelin, Niko Viljanen, Roope Näsi, Eija Honkavaara
Publikováno v:
Remote Sensing, Vol 10, Iss 12, p 2068 (2018)
In unstable atmospheric conditions, using on-board irradiance sensors is one of the only robust methods to convert unmanned aerial vehicle (UAV)-based optical remote sensing data to reflectance factors. Normally, such sensors experience significant e
Externí odkaz:
https://doaj.org/article/8271bbe3c68d4d4e822f95acceaaf5a2
Autor:
Roope Näsi, Niko Viljanen, Jere Kaivosoja, Katja Alhonoja, Teemu Hakala, Lauri Markelin, Eija Honkavaara
Publikováno v:
Remote Sensing, Vol 10, Iss 7, p 1082 (2018)
The timely estimation of crop biomass and nitrogen content is a crucial step in various tasks in precision agriculture, for example in fertilization optimization. Remote sensing using drones and aircrafts offers a feasible tool to carry out this task
Externí odkaz:
https://doaj.org/article/b0b68a11997841928d69d2b38ec5232f
Autor:
Teemu Hakala, Lauri Markelin, Eija Honkavaara, Barry Scott, Theo Theocharous, Olli Nevalainen, Roope Näsi, Juha Suomalainen, Niko Viljanen, Claire Greenwell, Nigel Fox
Publikováno v:
Sensors, Vol 18, Iss 5, p 1417 (2018)
Drone-based remote sensing has evolved rapidly in recent years. Miniaturized hyperspectral imaging sensors are becoming more common as they provide more abundant information of the object compared to traditional cameras. Reflectance is a physically d
Externí odkaz:
https://doaj.org/article/71060b7b003b4909be16aa5075b8f17f
Autor:
Olli Nevalainen, Eija Honkavaara, Sakari Tuominen, Niko Viljanen, Teemu Hakala, Xiaowei Yu, Juha Hyyppä, Heikki Saari, Ilkka Pölönen, Nilton N. Imai, Antonio M. G. Tommaselli
Publikováno v:
Remote Sensing, Vol 9, Iss 3, p 185 (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. Three-dimensional (3D) hyperspectra
Externí odkaz:
https://doaj.org/article/c0a2085e7a1d4397bc6cc8ed3a87d53d
Autor:
Niko Viljanen, Jere Kaivosoja, Laura Nyholm, Teemu Hakala, Somayeh Nezami, Lauri Markelin, Roope Näsi, Lauri Jauhiainen, Oiva Niemeläinen, Raquel Alves de Oliveira, Katja Alhonoja, Eija Honkavaara
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-2-W13, Pp 489-494 (2019)
The information on the grass quantity and quality is needed for several times in a growing season for making optimal decisions about the harvesting time and the fertiliser rate, especially in northern countries, where grass swards quality declines an
Autor:
Niko Viljanen, Ninni Saarinen, Markus Holopainen, Mikko Vastaranta, Ville Kankare, Eija Honkavaara, Tuomas Yrttimaa, Juha Hyyppä, Jari Hynynen, Saija Huuskonen
Publikováno v:
ISPRS International Journal of Geo-Information
Volume 9
Issue 5
ISPRS International Journal of Geo-Information, Vol 9, Iss 309, p 309 (2020)
Volume 9
Issue 5
ISPRS International Journal of Geo-Information, Vol 9, Iss 309, p 309 (2020)
Terrestrial laser scanning (TLS) provides a detailed three-dimensional representation of surrounding forest structures. However, due to close-range hemispherical scanning geometry, the ability of TLS technique to comprehensively characterize all tree
Autor:
Ville Kankare, Niko Viljanen, Mikko Vastaranta, Ninni Saarinen, Saija Huuskonen, Markus Holopainen, Tuomas Yrttimaa, Eija Honkavaara, Jari Hynynen, Juha Hyyppä
Terrestrial laser scanning (TLS) provides detailed three-dimensional representation of the surrounding forest structure. However, due to close-range hemispherical scanning geometry, the ability of TLS technique to comprehensively characterize all tre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::86ec5711be67643f24927da8aa956729
https://doi.org/10.20944/preprints202003.0399.v1
https://doi.org/10.20944/preprints202003.0399.v1