Retrieval of Sun Induced Fluorescence Using Advanced Spectral Fitting Methods from Radiative Transfer Simulations and Hyplant Imagery
نویسندگان
چکیده
In the framework of the candidate EE-8 ESA/FLEX mission, different Solar-Induced Fluorescence (SIF) retrieval algorithms are under implementation and testing. The Spectral Fitting Method is the baseline for the fluorescence retrievals for FLEX, since it is a powerful technique to decouple canopy reflected radiance and SIF by exploiting the high-resolution observations in the red/far-red spectral regions. Two main approaches are investigated in this work: i) the SIF retrieval around the oxygen absorption bands (O2-A and O2-B); ii) the SpecFit algorithm to retrieve the full SIF emission spectrum in the 670-780 nm spectral range. The accuracy of the retrieval algorithms is assessed by employing radiative transfer simulations representing the FLEX/FLORIS radiances. The proposed algorithms are under testing on “real datasets” collected by the novel airborne HyPlant imaging spectrometer, which is well suited as airborne demonstrator of the FLEX mission. Currently, the results on radiative transfer simulations show that the relative root mean square error (RRMSE) of the fluorescence retrieval at the O2-A and O2-B bands is about 3%; the RRMSE for the full spectrum retrieval (integral of fluorescence emission) is around 7%. The preliminary map of fluorescence derived from HyPlant imagery over an agriculture area in Germany is presented. The accuracy of the fluorescence maps is assessed by comparison to groundbased measurements collected simultaneously to the airborne surveys.
منابع مشابه
Thermal Analysis of Convective-Radiative Fin with Temperature-Dependent Thermal Conductivity Using Chebychev Spectral Collocation Method
In this paper, the Chebychev spectral collocation method is applied for the thermal analysis of convective-radiative straight fins with the temperature-dependent thermal conductivity. The developed heat transfer model was used to analyse the thermal performance, establish the optimum thermal design parameters, and also, investigate the effects of thermo-geometric parameters and thermal conducti...
متن کاملEstimation of aerosol single scattering albedo from solar direct spectral radiance and total broadband irradiances measured in China
[1] Aerosol single scattering albedo (wo) is a primary factor dictating aerosol radiative effect. Ground-based remote sensing of wo has been employed most widely using spectral sky radiance measurements made from a scanning Sun photometer. Reliable results can be achieved for high aerosol loadings and for solar zenith angle >50 . This study presents an alternative method using spectral direct r...
متن کاملA study on Ca II 854.2 nm emission in a sunspot umbra using a thin cloud model
In the present work, we introduce and explain a method of solution of the radiative transfer equation based on a thin cloud model. The efficiency of this method to retrieve dynamical chromospheric parameters from Stokes I profiles of Ca II 854.2 nm line showing spectral emission is investigated. The analyzed data were recorded with the Crisp Imaging Spectro-Polarimeter (CRISP) at Swedish 1-m So...
متن کاملSynergistic angular and spectral estimation of aerosol properties using CHRIS/PROBA-1 and simulated Sentinel-3 data
We develop a method to derive aerosol properties over land surfaces using combined spectral and angular information, such as available from ESA Sentinel-3 mission, to be launched in 2015. A method of estimating aerosol optical depth (AOD) using only angular retrieval has previously been demonstrated on data from the ENVISAT and PROBA1 satellite instruments, and is extended here to the synergist...
متن کاملA comparison of empirical and neural network approaches for estimating corn and soybean leaf area index from Landsat ETM+ imagery
Plant foliage density expressed as leaf area index (LAI) is used in many ecological, meteorological, and agronomic models, and as a means of quantifying crop spatial variability for precision farming. LAI retrieval using spectral vegetation indices (SVI) from optical remotely sensed data usually requires site-specific calibration values from the surface or the use of within-scene image informat...
متن کامل