Abstract
ABSTRACTThe present investigation aims at providing a reliable evaluation of the geometric and radiometric accuracy of the airborne Daedalus-Coastal Zone Color Scanner (CZCS), through cal/val techniques. To this aim, on November 2014, we accomplished a remote sensing campaign over the Peligna Valley (Italy). Together with the personnel of the III Nucleo Aereo of the Italian Coast Guard, based at the Pescara Airport, we deployed the Daedalus AA1268EM1 CZCS scanner on board the fixed-wing aircraft type ATR42MP and a ASD FieldSpec spectroradiometer for a simultaneous field survey. We used vicarious calibration and secondary non-parametric geometric correction to achieve absolute atmospheric correction and geometric calibration, respectively. Although the validation and calibration targets used in this study were similar in nature, correlation coefficients of the prediction equations between at-sensor radiance and ground reflectance were > 0.90 for each of the 10 CZCS wavebands and the independent error assessment demonstrate that the empirical line method can be applied to correct CZCS imagery with satisfactory results.
Highlights
Beside the many scientific purposes, remote sensing techniques are widely used with the aim of promoting far-sighted policies for the management and sustainability of our societies
This study focuses on the accuracy assessment of Coastal Zone Color Scanner (CZCS) data calibration as a preliminary and mandatory requirement before other processing steps focusing in research applications
By using secondary geometric correction of airborne imagery with Ground Control Points (GCPs), we assess the geometric accuracy of our dataset through only evaluating the errors due to the displacements of GCPs with respect to orthophotos and assuming both the Digital Elevation Model (DEM) and orthophotos not contributing as additional sources of errors
Summary
Beside the many scientific purposes, remote sensing techniques are widely used with the aim of promoting far-sighted policies for the management and sustainability of our societies. The requirement of quantitative datasets is mandatory. To provide the optical remotely sensed data with quantitative value, it is necessary to calibrate them both geometrically and radiometrically (Smith & Milton, 1999) and accomplish an absolute atmospheric correction (Clark, Suomalainen, & Pellikka, 2011a). Remote sensing calibration and validation (cal/val) are critical aspects of Earth observation measurements that have to be accomplished for the correct exploitation of the dataset (Teillet et al, 2001). Validation of the results allows to assess the accuracy of the calibration process and the level of confidence in the interpretation of the derived products. As a consequence, calibrated and validated remote measurements will not be biased by atmospheric conditions, illumination and reflection geometry, sensor characteristics, platform stability and data processing effects
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