Boreal forests exhibit strong seasonal dynamics in their reflectance spectra during the short, snow-free growing period. This short communication paper reports an analysis of the seasonality of boreal forest spectra from the end of snowmelt until the time of maximal leaf area. We apply a forest reflectance model (FRT) to estimate the seasonal contribution of understory vegetation to forest reflectance froma time series of three Earth Observing 1 (EO-1) Hyperion images acquired in May, June and July. The reflectance simulations are based on detailed seasonal series of leaf area index and understory spectra measurements carried out in ten stands at the Hyytiälä Forestry Field Station in Finland. Our results showthat the contribution of unders...
The spatial and temporal patterns of the forest background reflectance are critically important for ...
During the growing season, the photosynthesis and growth of boreal forests are regulated by physiolo...
| openaire: EC/H2020/771049/EU//FREEDLES Publisher Copyright: © 2021, Finnish Society of Forest Scie...
Boreal forests exhibit strong seasonal dynamics in their reflectance spectra during the short, snow-...
Boreal forests exhibit strong seasonal dynamics in their reflectance spectra during the short, snow-...
The influence of the seasonal cycle of boreal forest understory has been noticed in global remote se...
Inherent variability in the spectral properties of boreal forests complicates the retrieval of canop...
The understory layer or 'forest floor' typically has a significant role in forming the spectral sign...
The forest reflectance and transmittance model (FRT) is applicable over a wide swath of boreal fores...
The directional spectral reflectance of deciduous forests changes markedly throughout the year as a ...
The Arctic region is predicted to experience considerable climatic and environmental changes as the ...
The degree of which the observable canopy bidirectional reflectance factors (BRF) express plant trai...
Plant phenology timings, such as spring green-up and autumn senescence, are essential state informat...
The dataset includes understory reflectance spectra in hyperspectral resolution (350–2300 nm), fract...
Spectral libraries have a fundamental role in the development of interpretation methods for airborne...
The spatial and temporal patterns of the forest background reflectance are critically important for ...
During the growing season, the photosynthesis and growth of boreal forests are regulated by physiolo...
| openaire: EC/H2020/771049/EU//FREEDLES Publisher Copyright: © 2021, Finnish Society of Forest Scie...
Boreal forests exhibit strong seasonal dynamics in their reflectance spectra during the short, snow-...
Boreal forests exhibit strong seasonal dynamics in their reflectance spectra during the short, snow-...
The influence of the seasonal cycle of boreal forest understory has been noticed in global remote se...
Inherent variability in the spectral properties of boreal forests complicates the retrieval of canop...
The understory layer or 'forest floor' typically has a significant role in forming the spectral sign...
The forest reflectance and transmittance model (FRT) is applicable over a wide swath of boreal fores...
The directional spectral reflectance of deciduous forests changes markedly throughout the year as a ...
The Arctic region is predicted to experience considerable climatic and environmental changes as the ...
The degree of which the observable canopy bidirectional reflectance factors (BRF) express plant trai...
Plant phenology timings, such as spring green-up and autumn senescence, are essential state informat...
The dataset includes understory reflectance spectra in hyperspectral resolution (350–2300 nm), fract...
Spectral libraries have a fundamental role in the development of interpretation methods for airborne...
The spatial and temporal patterns of the forest background reflectance are critically important for ...
During the growing season, the photosynthesis and growth of boreal forests are regulated by physiolo...
| openaire: EC/H2020/771049/EU//FREEDLES Publisher Copyright: © 2021, Finnish Society of Forest Scie...