Reflectance reference target at Järvselja, Estonia for the calibration of optical remote sensing sensors and lessons learned

Abstract A calibration target for the support of airborne and satellite measurements was built at the Jarvselja site for ecological and remote sensing studies located in southeastern Estonia. The calibration target is a 10 × 10 m concrete panel which is protected by a removable roof. Optical properties of the panel are carefully studied in order to serve as a reference in spectroscopic remote sensing measurements. In this study we report the spectral distribution of reflectance in the wavelength range of 350–2500 nm, the angular distribution of directional reflectance and the linear polarization of the reflected radiation. The reflectance spectrum of the panel is smooth in the visible and NIR wavelengths but with steep decrease at wavelengths less than 400 nm. Variations of reflectance over the panel surface are less than 1%. The radiation is partly polarized in forward scattering direction. No temporal changes of optical properties have been observed. The calibration target improves the metrological quality of airborne spectral measurements at the Jarvselja test site and neighboring areas. It can also be used for ground truth to aid the validation of adjacency correction algorithms for data from high spatial resolution satellite images, as well as a reference for the registration of airborne and satellite images. It can also serve as an elevation reference for both lidar and radar altimeter measurements.

[1]  Carol J. Bruegge,et al.  Vicarious Calibration of the GOSAT Sensors Using the Railroad Valley Desert Playa , 2011, IEEE Transactions on Geoscience and Remote Sensing.

[2]  Maria Gritsevich,et al.  Technical notes: A detailed study for the provision of measurement uncertainty and traceability for goniospectrometers , 2014 .

[3]  E. Puttonen,et al.  Polarised bidirectional reflectance factor measurements from soil, stones, and snow , 2009 .

[4]  K. Nurminen,et al.  A Permanent Test Field for Digital Photogrammetric Systems , 2008 .

[5]  Z. Kam,et al.  Absorption and Scattering of Light by Small Particles , 1998 .

[6]  Yujie Wang,et al.  AERONET-based surface reflectance validation network (ASRVN) data evaluation: Case study for railroad valley calibration site , 2011 .

[7]  Teemu Hakala,et al.  Polarised Multiangular Reflectance Measurements Using the Finnish Geodetic Institute Field Goniospectrometer , 2009, Sensors.

[8]  E. Honkavaara,et al.  Radiometric Calibration and Characterization of Large-format Digital Photogrammetric Sensors in a Test Field , 2008 .

[9]  Eija Honkavaara,et al.  Analysis of Properties of Reflectance Reference Targets for Permanent Radiometric Test Sites of High Resolution Airborne Imaging Systems , 2010, Remote. Sens..

[10]  Nadine Gobron,et al.  The fourth phase of the radiative transfer model intercomparison (RAMI) exercise: Actual canopy scenarios and conformity testing , 2015 .

[11]  M. Rautiainen,et al.  Database of optical and structural data for the validation of radiative transfer models , 2013 .

[12]  M. Bouvet Radiometric comparison of multispectral imagers over a pseudo-invariant calibration site using a reference radiometric model , 2014 .

[13]  Andres Kuusk,et al.  VICARIOUS CALIBRATION OF THE PROBA/CHRIS IMAGING SPECTROMETER , 2010 .

[14]  Joel Kuusk Measurement of top-of-canopy spectral reflectance of forests for developing vegetation radiative transfer models , 2011 .

[15]  M. Rautiainen,et al.  Multi-angular reflectance properties of a hemiboreal forest: An analysis using CHRIS PROBA data , 2008 .

[16]  A. Kuusk,et al.  Modeling directional forest reflectance with the hybrid type forest reflectance model FRT , 2014 .

[17]  Frederic Teston,et al.  The PROBA/CHRIS mission: a low-cost smallsat for hyperspectral multiangle observations of the Earth surface and atmosphere , 2004, IEEE Transactions on Geoscience and Remote Sensing.

[18]  Kohei Arai,et al.  Vicarious Calibration of ASTER via the Reflectance-Based Approach , 2008, IEEE Transactions on Geoscience and Remote Sensing.

[19]  T. Vesala,et al.  SMEAR Estonia: Perspectives of a large-scale forest ecosystem – atmosphere research infrastructure , 2015 .

[20]  Edward J. Milton,et al.  On the temporal stability of ground calibration targets: implications for the reproducibility of remote sensing methodologies , 2006 .