Zobrazeno 1 - 10
of 451
pro vyhledávání: '"M. Holopainen"'
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol V-2-2022, Pp 431-438 (2022)
Mapping and monitoring forest resources require collection of spatially explicit and timely remote sensing (RS) data. Although field measurements are still important, the RS-based forest inventory helps mapping large areas to be cheaper, faster, less
Externí odkaz:
https://doaj.org/article/207d21f716f844d698447df67b2d97bf
Autor:
L. Markelin, E. Honkavaara, R. Näsi, N. Viljanen, T. Rosnell, T. Hakala, M. Vastaranta, T. Koivisto, M. Holopainen
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-3-W3, Pp 113-118 (2017)
Novel miniaturized multi- and hyperspectral imaging sensors on board of unmanned aerial vehicles have recently shown great potential in various environmental monitoring and measuring tasks such as precision agriculture and forest management. These sy
Externí odkaz:
https://doaj.org/article/aaa8d8a611d041d0b1bbf22d86812bcb
Autor:
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
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-3-W3, Pp 171-175 (2017)
Biodiversity is commonly referred to as species diversity but in forest ecosystems variability in structural and functional characteristics can also be treated as measures of biodiversity. Small unmanned aerial vehicles (UAVs) provide a means for cha
Externí odkaz:
https://doaj.org/article/556ba70c60c34033843c1c0a7504fb94
Autor:
S. Junttila, M. Vastaranta, R. Linnakoski, J. Sugano, H. Kaartinen, A. Kukko, M. Holopainen, H. Hyyppä, J. Hyyppä
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-3-W3, Pp 81-85 (2017)
Climate change is increasing the amount and intensity of disturbance events, i.e. drought, pest insect outbreaks and fungal pathogens, in forests worldwide. Leaf water content (LWC) is an early indicator of tree stress that can be measured remotely u
Externí odkaz:
https://doaj.org/article/222117e46e394519bae2e0705107e24b
Autor:
E. Ahokas, J. Hyyppä, X. Yu, X. Liang, L. Matikainen, K. Karila, P. Litkey, A. Kukko, A. Jaakkola, H. Kaartinen, M. Holopainen, M. Vastaranta
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLI-B3, Pp 155-162 (2016)
This paper describes the possibilities of the Optech Titan multispectral airborne laser scanner in the fields of mapping and forestry. Investigation was targeted to six land cover classes. Multispectral laser scanner data can be used to distinguish l
Externí odkaz:
https://doaj.org/article/dca9c44e41a2495a876d44d4bc7ad181
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XL-7/W3, Pp 425-431 (2015)
Accurate forest resources maps are needed in diverse applications ranging from the local forest management to the global climate change research. In particular, it is important to have tools to map changes in forest resources, which helps us to under
Externí odkaz:
https://doaj.org/article/76094c1b6b584dedadbc45904d9664c9
Autor:
M. Holopainen, M. Vastaranta, M. Karjalainen, K. Karila, S. Kaasalainen, E. Honkavaara, J. Hyyppä
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol II-3/W4, Pp 63-69 (2015)
Three-dimensional (3D) remote sensing has enabled detailed mapping of terrain and vegetation heights. Consequently, forest inventory attributes are estimated more and more using point clouds and normalized surface models. In practical applications, m
Externí odkaz:
https://doaj.org/article/624e6b4f996243b6b18769120a2eb8aa
Autor:
N. Saarinen, M. Vastaranta, E. Honkavaara, M. A. Wulder, J. C. White, P. Litkey, M. Holopainen, J. Hyyppä
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XL-3/W2, Pp 189-196 (2015)
Wind damage is known for causing threats to sustainable forest management and yield value in boreal forests. Information about wind damage risk can aid forest managers in understanding and possibly mitigating damage impacts. The objective of this res
Externí odkaz:
https://doaj.org/article/dcef56a89a064ed5b701c43542ab758a
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXVIII-5/W12, Pp 169-173 (2012)
Multitemporal LiDAR data provide means for mapping structural changes in forest canopies. We demonstrate the use of area-based estimation method for snow damage assessment. Change features of bi-temporal LiDAR point height distributions were used as
Externí odkaz:
https://doaj.org/article/18300e27162e49d89565af6a0b13c180
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXVIII-5/W12, Pp 157-161 (2012)
In this study we searched the obtainable accuracy of forest inventory based on the individual tree detection (ITD) by using fusion of automatic ITD (ITDauto) and visual interpretation of laser point clouds. Current ITD algorithms, mostly based on seg
Externí odkaz:
https://doaj.org/article/e0b4f85c4fec40eda727c3590a5eeaa3