Daniel Schläpfer

Learn More
2 The cover image shows a true color subset of a Landsat-7 ETM+ scene with lake Constance at the Austrian-German-Swiss border (top left), acquired 2 June 2000. The top right image is the atmospherically corrected scene employing a haze removal over land and water. The haze removal over water is one of the new features of the 2011 release. The bottom part(More)
An operational orthorectification solution in support of the combined geometric and radiometric processing of currently available imaging spectrometry data is presented. The described parametric geocoding procedure (PARGE) strictly considers the aircraft and terrain geometry parameters and uses a forward transformation algorithm to create orthorectified(More)
Efficient and accurate imaging spectroscopy data processing asks for perfectly consistent (i.e., ideally uniform) data in both the spectral and the spatial dimension. However, real pushbroom type imaging spectrometers are affected by various Point Spread Function (PSF) non-uniformity artefacts: first, individual pixels or lines may be missing in the raw(More)
The airborne ESA-APEX (Airborne Prism Experiment) hyperspectral mission simulator is described with its distinct specifications to provide high quality remote sensing data. The concept of an automatic calibration, performed in the Calibration Home Base (CHB) by using the Control Test Master (CTM), the In-Flight Calibration facility (IFC), quality flagging(More)
Nearly all current imaging spectroscopy data are obtained by scanning airborne systems. The stability of such systems is always worse than that of spaceborne platforms. Thus, geometric distortions occur due to variations of the flightpath as well as of the attitude (given by roll, pitch and heading angles) of the plane. These distortions cannot be corrected(More)
Accurate spectral calibration of airborne and spaceborne imaging spectrometers is essential for proper preprocessing and scientific exploitation of high spectral resolution measurements of the land and atmosphere. A systematic performance assessment of onboard and scene-based methods for in-flight monitoring of instrument spectral calibration is presented(More)
The consistent end-to-end simulation of airborne and spaceborne earth remote sensing systems is an important task and sometimes the only way for the adaptation and optimization of a sensor and its observation conditions, the choice and test of algorithms for data processing, error estimation and the evaluation of the capabilities of the whole sensor system.(More)
The radiative transfer code MODTRAN, version 4 (Berk et al., 1998; 2000) has been established as de-facto standard for the simulation of imaging spectrometry data and for quantitative modelling of the signal at the sensor level. The original interface of MODTRAN consisting of ASCII-file based inputs leads often to misunderstandings and mistakes in such(More)
The MODTRAN radiative transfer code is a well established standard for simulating the at sensor radiance for optical instruments and imaging spectrometers from the UV to the thermal infrared. However, its efficient use is a task not easily accomplished. This situation has led to various developments for improving the efficiency as well as for the inversion(More)
Abstract—The retrievals of atmospheric water vapor column and surface reflectance from airor spaceborne hyperspectral imagery require accurate spectroradiometric calibration and a radiative transfer (RT) code. Since RT codes are too time consuming to be run on a per-pixel basis, a common technique employs the offline compilation of an atmospheric database(More)