Ground truth information for remote sensing to distinguish boreal and arctic vegetation species, biomass and phenology is needed in global scale climate change research activities. A boom-mounted 4-band spectroradiometer was installed to measure seasonal radiance patterns in green (560 nm), red (660 nm), near-infrared (830 nm) and mid-infrared (1650 nm) spectral bands from boreal vegetation canopies over the 1992 growing season in northernmost Finland, Utsjoki. The radiometer on top the rotating boom which was held horizontally about 4 m high above the ground looked downward on four plant plots in turn every 15 min. Plant growth stages were observed every week for each plot. Seven-band field spectra (560, 660, 830, 1100, 1200, 1650, 2200 nm...
Using a spectral vegetation index (VI) is an efficient approach for monitoring plant phenology from ...
The leaf area index (LAI) of boreal forest can be estimated using reflected radiation recorded by sa...
Boreal forests exhibit strong seasonal dynamics in their reflectance spectra during the short, snow-...
Ground truth information for remote sensing to distinguish boreal and arctic vegetation species, bio...
Ground truth information for remote sensing to distinguish boreal and arctic vegetation species, bio...
Boreal and subarctic plant phenophases are good indicators of global climatic change. Ground informa...
Boreal and subarctic plant phenophases are advantageous indicators of climatic change on a global sc...
Boreal and subarctic plant phenophases are advantageous indicators of climatic change on a global sc...
Spectral libraries have a fundamental role in the development of interpretation methods for airborne...
Spectral libraries have a fundamental role in the development of interpretation methods for airborne...
To interpret time series of hyperspectral measurements of vegetation canopies, the basic characteris...
The boreal forest is a region characterized by wide swings in temperature and light levels over the ...
Plant phenology timings, such as spring green-up and autumn senescence, are essential state informat...
Plant phenology timings, such as spring green-up and autumn senescence, are essential state informat...
Plant phenology exerts major influences on carbon, water, and energy exchanges between atmosphere an...
Using a spectral vegetation index (VI) is an efficient approach for monitoring plant phenology from ...
The leaf area index (LAI) of boreal forest can be estimated using reflected radiation recorded by sa...
Boreal forests exhibit strong seasonal dynamics in their reflectance spectra during the short, snow-...
Ground truth information for remote sensing to distinguish boreal and arctic vegetation species, bio...
Ground truth information for remote sensing to distinguish boreal and arctic vegetation species, bio...
Boreal and subarctic plant phenophases are good indicators of global climatic change. Ground informa...
Boreal and subarctic plant phenophases are advantageous indicators of climatic change on a global sc...
Boreal and subarctic plant phenophases are advantageous indicators of climatic change on a global sc...
Spectral libraries have a fundamental role in the development of interpretation methods for airborne...
Spectral libraries have a fundamental role in the development of interpretation methods for airborne...
To interpret time series of hyperspectral measurements of vegetation canopies, the basic characteris...
The boreal forest is a region characterized by wide swings in temperature and light levels over the ...
Plant phenology timings, such as spring green-up and autumn senescence, are essential state informat...
Plant phenology timings, such as spring green-up and autumn senescence, are essential state informat...
Plant phenology exerts major influences on carbon, water, and energy exchanges between atmosphere an...
Using a spectral vegetation index (VI) is an efficient approach for monitoring plant phenology from ...
The leaf area index (LAI) of boreal forest can be estimated using reflected radiation recorded by sa...
Boreal forests exhibit strong seasonal dynamics in their reflectance spectra during the short, snow-...