Zobrazeno 1 - 10
of 56
pro vyhledávání: '"Aarne Hovi"'
Autor:
Aarne Hovi, Růžena Janoutová, Zbyněk Malenovský, Daniel Schraik, Jean‐Philippe Gastellu‐Etchegorry, Nicolas Lauret, Jan Novotný, Miina Rautiainen
Publikováno v:
Methods in Ecology and Evolution, Vol 15, Iss 10, Pp 1859-1872 (2024)
Abstract Physically based models simulating the spectral transmittance of solar radiation through forest canopies are useful tools for examining the connections between the shortwave radiation environment and the productivity and biodiversity of the
Externí odkaz:
https://doaj.org/article/cb206ca6ce704731ac0310ed10310f94
Publikováno v:
Ecological Informatics, Vol 82, Iss , Pp 102772- (2024)
Northern peatlands store up to 25% of global soil organic carbon and function as important hotspots for biodiversity. However, they are facing degradation from climate change driven by human activities as well as anthropogenic land use changes, up to
Externí odkaz:
https://doaj.org/article/5fa06e8ad9494eb4a4778c28cbbed1c2
Publikováno v:
Data in Brief, Vol 57, Iss , Pp 111068- (2024)
Enhancing our understanding of the spectral properties of forest elements is essential for interpreting airborne and satellite-borne remote sensing data. This article presents two datasets on the spectral properties of understory elements in boreal f
Externí odkaz:
https://doaj.org/article/b2864b6d7bf34ac4bee650812b506c93
Autor:
Ranjith Gopalakrishnan, Lauri Korhonen, Matti Mõttus, Miina Rautiainen, Aarne Hovi, Lauri Mehtätalo, Matti Maltamo, Heli Peltola, Petteri Packalen
Publikováno v:
Science of Remote Sensing, Vol 8, Iss , Pp 100098- (2023)
The forest reflectance and transmittance model (FRT) is applicable over a wide swath of boreal forest landscapes mainly because its stand-specific inputs can be generated from standard forest inventory variables. We quantified the accuracy of this mo
Externí odkaz:
https://doaj.org/article/eff83ea8d31c4b25a70dd51a94df56ca
Publikováno v:
European Journal of Remote Sensing, Pp 1-15 (2022)
ABSTRACTAutomatization of tree species identification in the field is crucial in improving forest-based bioeconomy, supporting forest management, and facilitating in situ data collection for remote sensing applications. However, tree species recognit
Externí odkaz:
https://doaj.org/article/5fe997f9528c46b098b1936dacb007bd
Publikováno v:
Silva Fennica, Vol 57, Iss 1 (2023)
Lichens are sensitive to competition from vascular plants, intensive silviculture, pollution and reindeer and caribou grazing, and can therefore serve as indicators of environmental changes. Hyperspectral remote sensing data has been proved promising
Externí odkaz:
https://doaj.org/article/e63b1e0e95944233bb9be8f44afc1902
Publikováno v:
Metsätieteen aikakauskirja, Vol 2022 (2022)
Externí odkaz:
https://doaj.org/article/9311cd3e05f14ecf84de55f2d484c733
Autor:
Miina Rautiainen, Aarne Hovi, Nea Kuusinen, Jussi Juola, Petri Forsström, Sini-Selina Salko, Daniel Schraik, Iuliia Burdun
Publikováno v:
Metsätieteen aikakauskirja, Vol 2022 (2022)
Externí odkaz:
https://doaj.org/article/91caa3e13f514176900e52d733012ab6
Publikováno v:
Silva Fennica, Vol 56, Iss 2 (2022)
Foliage spectra form an important input to physically-based forest reflectance models. However, little is known about geographical variability of coniferous needle spectra. In this research note, we present an assessment of the geographical variabili
Externí odkaz:
https://doaj.org/article/4d93bdef6ec647febb3fde1b75cd077e
Publikováno v:
Metsätieteen aikakauskirja, Vol 2021 (2021)
Externí odkaz:
https://doaj.org/article/71ec856389724eac90207e05594d3a00