package provides a seamless link between inputs and outputs required for running a suite of reflectance models both at the leaf level and at the canopy level. ARTMO facilitates consistent and intuitive user interaction, thereby streamlining model setup, running, storing and output plotting for any kind of optical sensor operating in the VNIR range. The toolbox, developed in Matlab, allows the user: i) to choose between various leaf-level and canopy-level RT models, ii) to choose between spectral band settings of various air- and spaceborne sensors or defining own sensor settings, iii) to simulate and store a massive amount of spectra based on a look up table (LUT) approach in a spectral database, iv) to plot simulated spectra of multiple mo...
The 3-D Radiative Transfer Model (RTM) FLIGHT can represent scattering in open forest or savannas fe...
This study proposes a new method for inverting radiative transfer models (RTM) to retrieve canopy bi...
The exploitation of global Earth Observation data hinges increasingly on physically-based radiative ...
Physically-based radiative transfer models (RTMs) help in understanding the processes occurring on t...
Since many years scientists have been working on techniques for retrieving biophysical and bio-chemi...
Regression models based on spectral indices are typically empirical formulae enabling the mapping of...
The success of radiative transfer model (RTM) inversion strongly depends on various factors, includi...
Automated, image based methods for the retrieval of vegetation biophysical and biochemical variables...
The inversion of canopy reflectance models is widely used for the retrieval of vegetation properties...
Optical remote sensing plays a fundament role in attempts to map repeatedly, in various spatial reso...
A simple method for efficient inversion of arbitrary radiative transfer models for image analysis is...
Many canopy reflectance models have been developed in the last decades and used for estimating land ...
At first, research advances on radiation transfer modeling on multi-scale remote sensing data are pr...
[Departement_IRSTEA]Territoires [TR1_IRSTEA]SYNERGIE [Axe_IRSTEA]TETIS-ATTOSInternational audienceMo...
This study describes the retrieval of wheat biophysical variables of leaf chlorophyll (Cab), leaf ar...
The 3-D Radiative Transfer Model (RTM) FLIGHT can represent scattering in open forest or savannas fe...
This study proposes a new method for inverting radiative transfer models (RTM) to retrieve canopy bi...
The exploitation of global Earth Observation data hinges increasingly on physically-based radiative ...
Physically-based radiative transfer models (RTMs) help in understanding the processes occurring on t...
Since many years scientists have been working on techniques for retrieving biophysical and bio-chemi...
Regression models based on spectral indices are typically empirical formulae enabling the mapping of...
The success of radiative transfer model (RTM) inversion strongly depends on various factors, includi...
Automated, image based methods for the retrieval of vegetation biophysical and biochemical variables...
The inversion of canopy reflectance models is widely used for the retrieval of vegetation properties...
Optical remote sensing plays a fundament role in attempts to map repeatedly, in various spatial reso...
A simple method for efficient inversion of arbitrary radiative transfer models for image analysis is...
Many canopy reflectance models have been developed in the last decades and used for estimating land ...
At first, research advances on radiation transfer modeling on multi-scale remote sensing data are pr...
[Departement_IRSTEA]Territoires [TR1_IRSTEA]SYNERGIE [Axe_IRSTEA]TETIS-ATTOSInternational audienceMo...
This study describes the retrieval of wheat biophysical variables of leaf chlorophyll (Cab), leaf ar...
The 3-D Radiative Transfer Model (RTM) FLIGHT can represent scattering in open forest or savannas fe...
This study proposes a new method for inverting radiative transfer models (RTM) to retrieve canopy bi...
The exploitation of global Earth Observation data hinges increasingly on physically-based radiative ...