Boreal and subarctic plant phenophases are advantageous indicators of climatic change on a global scale. Remote sensing is a promising technique for assessing such changes over extended areas. An automated field measuring system collected seasonal reflectances of natural shrubs in visible, near-, and mid-infrared wavelength ranges. A boom-mounted four-band spectroradiometer was installed on a 4-m-high tower to measure seasonal radiances in green (520–600 nm), red (630–690 nm), near-infrared (765–900 nm), and mid-infrared (1570–1730 nm) spectral bands from undisturbed subarctic shrub vegetation during the 1994 and 1995 growing seasons (mid-June to mid-September) in northernmost Finland (69°45′N, 27°00′E, 105 m above sea level). The radiomete...
Using a spectral vegetation index (VI) is an efficient approach for monitoring plant phenology from ...
The influence of the seasonal cycle of boreal forest understory has been noticed in global remote se...
| openaire: EC/H2020/771049/EU//FREEDLESAccurate mapping of the spatial distribution of understory s...
Boreal and subarctic plant phenophases are advantageous indicators of climatic change on a global sc...
Boreal and subarctic plant phenophases are good indicators of global climatic change. Ground informa...
Ground truth information for remote sensing to distinguish boreal and arctic vegetation species, bio...
Plant phenology exerts major influences on carbon, water, and energy exchanges between atmosphere an...
Plant phenology timings, such as spring green-up and autumn senescence, are essential state informat...
The directional spectral reflectance of deciduous forests changes markedly throughout the year as a ...
Since several years, more and more studies aim at developing phenology products from satellite time-...
Since several years, more and more studies aim at developing phenology products from satellite time-...
The boreal forest is a region characterized by wide swings in temperature and light levels over the ...
To interpret time series of hyperspectral measurements of vegetation canopies, the basic characteris...
Spectral libraries have a fundamental role in the development of interpretation methods for airborne...
Boreal forests exhibit strong seasonal dynamics in their reflectance spectra during the short, snow-...
Using a spectral vegetation index (VI) is an efficient approach for monitoring plant phenology from ...
The influence of the seasonal cycle of boreal forest understory has been noticed in global remote se...
| openaire: EC/H2020/771049/EU//FREEDLESAccurate mapping of the spatial distribution of understory s...
Boreal and subarctic plant phenophases are advantageous indicators of climatic change on a global sc...
Boreal and subarctic plant phenophases are good indicators of global climatic change. Ground informa...
Ground truth information for remote sensing to distinguish boreal and arctic vegetation species, bio...
Plant phenology exerts major influences on carbon, water, and energy exchanges between atmosphere an...
Plant phenology timings, such as spring green-up and autumn senescence, are essential state informat...
The directional spectral reflectance of deciduous forests changes markedly throughout the year as a ...
Since several years, more and more studies aim at developing phenology products from satellite time-...
Since several years, more and more studies aim at developing phenology products from satellite time-...
The boreal forest is a region characterized by wide swings in temperature and light levels over the ...
To interpret time series of hyperspectral measurements of vegetation canopies, the basic characteris...
Spectral libraries have a fundamental role in the development of interpretation methods for airborne...
Boreal forests exhibit strong seasonal dynamics in their reflectance spectra during the short, snow-...
Using a spectral vegetation index (VI) is an efficient approach for monitoring plant phenology from ...
The influence of the seasonal cycle of boreal forest understory has been noticed in global remote se...
| openaire: EC/H2020/771049/EU//FREEDLESAccurate mapping of the spatial distribution of understory s...