المؤلفون: Huo, Langning, Koivumäki, Niko, Oliveira, Raquel A., Hakala, Teemu, Markelin, Lauri, Näsi, Roope, Suomalainen, Juha, Polvivaara, Antti, Junttila, Samuli, Honkavaara, Eija

المساهمون: Maanmittauslaitos, National Land Survey of Finland, orcid:0000-0002-6307-1637, orcid:0000-0002-5308-8259, orcid:0000-0001-5486-4582, orcid:0000-0002-5823-8180, orcid:0000-0003-2029-8820

مصطلحات موضوعية: European spruce bark beetle, Green attack, Early detection, Remote sensing, Hyperspectral imagery, Drone imagery

وصف الملف: 200-216; application/pdf

Relation: ISPRS Journal of Photogrammetry and Remote Sensing; 216; 105537; http://hdl.handle.net/10138/584999; URN:NBN:fi-fe2024082866585

الاتاحة: http://hdl.handle.net/10138/584999

المؤلفون: Polvivaara, Antti, Korpela, Ilkka, Vastaranta, Mikko, Junttila, Samuli

المساهمون: Department of Forest Sciences, Ilkka Korpela / Principal Investigator, Forest Ecology and Management, Laboratory of Forest Resources Management and Geo-information Science, Forest Health Group

مصطلحات موضوعية: Classification, Dead trees, Forest health, Laser scanning, Remote sensing, Time-series, Forestry

وصف الملف: application/pdf

Relation: The study was funded by the Academy of Finland and European Union "NextGenerationEU" (grant number 348643) , Academy of Finland (grant number 330422) . Funding for aerial images and LiDAR data in 2011-15 was by Academy of Finland ("Time -stamped and free photons") and Suomen Luonnonvarain tutkimussaation. Dr. Aarne Hovi., Mr. Jonne Davidsson and Dr. Andreas Roncat provided guidance with the Riegl proprietary sdf-format and the processing of the original LAS files.; Polvivaara , A , Korpela , I , Vastaranta , M & Junttila , S 2024 , ' Detecting tree mortality using waveform features of airborne LiDAR ' , Remote Sensing of Environment , vol. 303 , 114019 . https://doi.org/10.1016/j.rse.2024.114019; ORCID: /0000-0001-8276-9259/work/156149926; ORCID: /0000-0001-6552-9122/work/156157964; http://hdl.handle.net/10138/573574; bad50daa-2d44-4d99-a0e3-5e6d3003fb60; 001181618900001

الاتاحة: http://hdl.handle.net/10138/573574

المؤلفون: Korpela, Ilkka, Polvivaara, Antti, Papunen, Saija, Jaakkola, Laura, Tienaho, Noora, Uotila, Johannes, Puputti, Tuomas, Flyktman, Aleksi

المساهمون: Department of Forest Sciences, Ilkka Korpela / Principal Investigator, Forest Ecology and Management, Department of Geosciences and Geography

مصطلحات موضوعية: crown modeling, individual tree detection, laser scanning, photogrammetry, Scandinavia, Forestry

وصف الملف: application/pdf

Relation: This study was conducted on course FOR-254 ‘Advanced Forest Inventory and Management Project’ at the University of Helsinki. Plots IM and OG were measured by students and assistants on course FOR110B with the kind permission of Prof. Pauline Stenberg. Dr. Pekka Kaitaniemi provided phenological observations during LiDAR campaigns, and support by Dr. Antti Uotila was crucial in finding aspen, alder and larch samples in Hyytiälä. The LiDAR and field data in 2013 were collected and processed with funding from the Academy of Finland and Metsämiesten säätiö. Other work by made possible by the University of Helsinki.; Korpela , I , Polvivaara , A , Papunen , S , Jaakkola , L , Tienaho , N , Uotila , J , Puputti , T & Flyktman , A 2022 , ' Airborne dual-wavelength waveform LiDAR improves species classification accuracy of boreal broadleaved and coniferous trees ' , Silva Fennica , vol. 56 , no. 4 , 22007 . https://doi.org/10.14214/sf.22007; http://hdl.handle.net/10138/355413; e73de41a-3078-4532-843c-f399814e8e60; 85147326813; 000926826700003

الاتاحة: http://hdl.handle.net/10138/355413

المؤلفون: Korpela, Ilkka, Polvivaara, Antti, Hovi, Aarne, Junttila, Samuli, Holopainen, Markus

المساهمون: Department of Forest Sciences, Ilkka Korpela / Principal Investigator, Forest Ecology and Management, Faculty of Agriculture and Forestry, Forest Health Group, Laboratory of Forest Resources Management and Geo-information Science, Faculty of Science

مصطلحات موضوعية: 1550 nm, Branching structure, Change detection, Leaf orientation, Mortality, Radiometric match, Seasonality, Species identification, Time-series, Forestry

وصف الملف: application/pdf

Relation: Korpela , I , Polvivaara , A , Hovi , A , Junttila , S & Holopainen , M 2023 , ' Influence of phenology on waveform features in deciduous and coniferous trees in airborne LiDAR ' , Remote Sensing of Environment , vol. 293 . https://doi.org/10.1016/j.rse.2023.113618; http://hdl.handle.net/10138/563167; 85158865038; 000999123200001

الاتاحة: http://hdl.handle.net/10138/563167

المؤلفون: Polvivaara, Antti

المساهمون: Heinaro, Einari, Insinööritieteiden korkeakoulu, School of Engineering, Rautiainen, Miina, Aalto-yliopisto, Aalto University

مصطلحات موضوعية: remote sensing, biodiversity, laser scanning, computer vision, machine learning, forest health

وصف الملف: application/pdf

Relation: https://aaltodoc.aalto.fi/handle/123456789/132287

الاتاحة: https://aaltodoc.aalto.fi/handle/123456789/132287

المؤلفون: Junttila, Samuli, Blomqvist, Minna, Laukkanen, Ville, Heinaro, Einari, Polvivaara, Antti, O’Sullivan, Hannah, Yrttimaa, Tuomas, Vastaranta, Mikko, Peltola, Heli

الاتاحة: http://dx.doi.org/10.2139/ssrn.4792997

المؤلفون: Polvivaara, Antti

المساهمون: Helsingin yliopisto, Maatalous-metsätieteellinen tiedekunta, University of Helsinki, Faculty of Agriculture and Forestry, Helsingfors universitet, Agrikultur- och forstvetenskapliga fakulteten

مصطلحات موضوعية: Laser scanning, full-waveform laser scanning, phenology, photogrammetry, remote sensing, tree species classification, Metsätieteiden maisteriohjelma, Master 's Programme in Forest Sciences, Magisterprogrammet i skogsvetenskaper, Metsien ekologia ja käyttö, Forest ecology and management, Skogsekologi och resurshållning

وصف الملف: application/pdf

Relation: URN:NBN:fi:hulib-202209233564; http://hdl.handle.net/10138/348328

الاتاحة: http://hdl.handle.net/10138/348328