Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Kirsi Karila"'
Publikováno v:
ISPRS Open Journal of Photogrammetry and Remote Sensing, Vol 9, Iss , Pp 100046- (2023)
The application of deep learning methods to remote sensing data has produced good results in recent studies. A promising application area is automatic land cover classification (semantic segmentation) from very high-resolution satellite imagery. Howe
Externí odkaz:
https://doaj.org/article/f2162b4a9d124a75909b310ae70aedb9
Autor:
Emma Turkulainen, Eija Honkavaara, Roope Näsi, Raquel A. Oliveira, Teemu Hakala, Samuli Junttila, Kirsi Karila, Niko Koivumäki, Mikko Pelto-Arvo, Johanna Tuviala, Madeleine Östersund, Ilkka Pölönen, Päivi Lyytikäinen-Saarenmaa
Publikováno v:
Remote Sensing, Vol 15, Iss 20, p 4928 (2023)
The widespread tree mortality caused by the European spruce bark beetle (Ips typographus L.) is a significant concern for Norway spruce-dominated (Picea abies H. Karst) forests in Europe and there is evidence of increases in the affected areas due to
Externí odkaz:
https://doaj.org/article/93746c1b9c1649488fc19d7da08e8e8a
Autor:
Haodong Cui, Shi Qiu, Yicheng Wang, Yu Zhang, Zhaoyan Liu, Kirsi Karila, Jianxin Jia, Yuwei Chen
Publikováno v:
Remote Sensing, Vol 15, Iss 3, p 640 (2023)
Rapid disaster assessment is critical for public security and rescue. As a secondary disaster of large-scale meteorological disasters, power outages cause severe outcomes and thus need to be monitored efficiently and without being costly. Power outag
Externí odkaz:
https://doaj.org/article/d4a3b96b0bc54bcd87028250f3519d0a
Autor:
Heini Kanerva, Eija Honkavaara, Roope Näsi, Teemu Hakala, Samuli Junttila, Kirsi Karila, Niko Koivumäki, Raquel Alves Oliveira, Mikko Pelto-Arvo, Ilkka Pölönen, Johanna Tuviala, Madeleine Östersund, Päivi Lyytikäinen-Saarenmaa
Publikováno v:
Remote Sensing, Vol 14, Iss 24, p 6257 (2022)
Various biotic and abiotic stresses are causing decline in forest health globally. Presently, one of the major biotic stress agents in Europe is the European spruce bark beetle (Ips typographus L.) which is increasingly causing widespread tree mortal
Externí odkaz:
https://doaj.org/article/3afee59b2d7e426c9864291b6c91504c
Autor:
Kirsi Karila, Raquel Alves Oliveira, Johannes Ek, Jere Kaivosoja, Niko Koivumäki, Panu Korhonen, Oiva Niemeläinen, Laura Nyholm, Roope Näsi, Ilkka Pölönen, Eija Honkavaara
Publikováno v:
Remote Sensing, Vol 14, Iss 11, p 2692 (2022)
The objective of this study is to investigate the potential of novel neural network architectures for measuring the quality and quantity parameters of silage grass swards, using drone RGB and hyperspectral images (HSI), and compare the results with t
Externí odkaz:
https://doaj.org/article/18e58c6e52b444fc9aafa571ece01702
Autor:
Jianxin Jia, Haibin Sun, Changhui Jiang, Kirsi Karila, Mika Karjalainen, Eero Ahokas, Ehsan Khoramshahi, Peilun Hu, Chen Chen, Tianru Xue, Tinghuai Wang, Yuwei Chen, Juha Hyyppä
Publikováno v:
Remote Sensing, Vol 13, Iss 21, p 4235 (2021)
Digital maps of road networks are a vital part of digital cities and intelligent transportation. In this paper, we provide a comprehensive review on road extraction based on various remote sensing data sources, including high-resolution images, hyper
Externí odkaz:
https://doaj.org/article/b8f9b2a6184a455a9968b60d4002538b
Autor:
Xiaowei Yu, Juha Hyyppä, Mika Karjalainen, Kimmo Nurminen, Kirsi Karila, Mikko Vastaranta, Ville Kankare, Harri Kaartinen, Markus Holopainen, Eija Honkavaara, Antero Kukko, Anttoni Jaakkola, Xinlian Liang, Yunsheng Wang, Hannu Hyyppä, Masato Katoh
Publikováno v:
Remote Sensing, Vol 7, Iss 12, Pp 15933-15954 (2015)
It is anticipated that many of the future forest mapping applications will be based on three-dimensional (3D) point clouds. A comparison study was conducted to verify the explanatory power and information contents of several 3D remote sensing data so
Externí odkaz:
https://doaj.org/article/00f5889e84794395b86b36aee8a5964b
Autor:
Sanna Kaasalainen, Markus Holopainen, Mika Karjalainen, Mikko Vastaranta, Ville Kankare, Kirsi Karila, Batuhan Osmanoglu
Publikováno v:
Forests, Vol 6, Iss 1, Pp 252-270 (2015)
Research activities combining lidar and radar remote sensing have increased in recent years. The main focus in combining lidar-radar forest remote sensing has been on the retrieval of the aboveground biomass (AGB), which is a primary variable related
Externí odkaz:
https://doaj.org/article/35588b322463408ba9cac5a547654d78
Publikováno v:
Remote Sensing, Vol 6, Iss 5, Pp 4090-4108 (2014)
The objective of this study was to obtain up-to-date information on land use and to identify long term changes in land use, especially rice, aquaculture and other crops in Ben Tre and Tra Vinh provinces in Vietnam’s Mekong Delta. Long-term changes
Externí odkaz:
https://doaj.org/article/700511b183b34719b0e041b42c7638a6
Autor:
Paavo Rouhiainen, Jarkko Koskinen, Veikko Saaranen, Juha Hyyppä, Mika Karjalainen, Kirsi Karila
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 2, Iss 3, Pp 797-816 (2013)
It is well known that the most accurate method to detect changes of height is the geodetic precise leveling method. Due to the high demand work and time needed for precise leveling alternative methods are studied to obtain high quality height informa
Externí odkaz:
https://doaj.org/article/49c7becbf07446aca360051d1dd6a467