Zobrazeno 1 - 10
of 48
pro vyhledávání: '"J. Kaivosoja"'
Autor:
R. A. Oliveira, R. Näsi, P. Korhonen, A. Mustonen, O. Niemeläinen, N. Koivumäki, T. Hakala, J. Suomalainen, J. Kaivosoja, E. Honkavaara
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-1-W2-2023, Pp 1861-1866 (2023)
Monitoring agricultural grass fields is particularly important for meat and milk production in Northern Europe, where three harvests occur during a growing season to maximize yields. Reliable data on forage, including biomass and nitrogen concentrati
Externí odkaz:
https://doaj.org/article/a106bb17d40348fc98d18ba7f907fd25
Autor:
R. A. Oliveira, R. Näsi, O. Niemeläinen, L. Nyholm, K. Alhonoja, J. Kaivosoja, N. Viljanen, T. Hakala, S. Nezami, L. Markelin, L. Jauhiainen, E. 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
Externí odkaz:
https://doaj.org/article/fa9c033725ea43ad9225de236aaa3884
Autor:
R. Näsi, N. Viljanen, R. Oliveira, J. Kaivosoja, O. Niemeläinen, T. Hakala, L. Markelin, S. Nezami, J. Suomalainen, E. Honkavaara
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-3, Pp 1305-1310 (2018)
Light-weight 2D format hyperspectral imagers operable from unmanned aerial vehicles (UAV) have become common in various remote sensing tasks in recent years. Using these technologies, the area of interest is covered by multiple overlapping hypercubes
Externí odkaz:
https://doaj.org/article/b8382e8cd7d84a1db67701cbca2feb7d
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-3-W3, Pp 137-141 (2017)
Multispectral and hyperspectral imaging is usually acquired by satellite and aircraft platforms. Recently, miniaturized hyperspectral 2D frame cameras have showed great potential to precise agriculture estimations and they are feasible to combine wit
Externí odkaz:
https://doaj.org/article/dce4c9ccbd964072a0ae4d98f17578ba
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-3-W3, Pp 165-170 (2017)
The accurate determination of the quality parameters of crops requires a spectral range from 400 nm to 2500 nm (Kawamura et al., 2010, Thenkabail et al., 2002). Presently the hyperspectral imaging systems that cover this wavelength range consist
Externí odkaz:
https://doaj.org/article/f4d7e7fe70fd4f8b9b7fa8f82803a72a
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XL-1-W2, Pp 189-194 (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 for light weight aerial paylo
Externí odkaz:
https://doaj.org/article/f7b9022ab02e43aeb74ca39a82c90fd7
Autor:
E. Honkavaara, J. Kaivosoja, J. Mäkynen, I. Pellikka, L. Pesonen, H. Saari, H. Salo, T. Hakala, L. Marklelin, T. Rosnell
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol I-7, Pp 353-358 (2012)
The objective of this investigation was to study the use of a new type of a low-weight unmanned aerial vehicle (UAV) imaging system in the precision agriculture. The system consists of a novel Fabry-Perot interferometer based hyperspectral camera and
Externí odkaz:
https://doaj.org/article/80707c591a6c4fcdaa2ff88a62699ca7
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