Marcus E. Engdahl

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—Continuity of the European Remote Sensing Satellite Synthetic Aperture Radar (ERS SAR) archive by means of Envisat Advanced SAR (ASAR) data acquired from March 2002 has introduced the problem of the coherent combination of images coming from sensors with slightly different frequencies. The spectral shift principle states that in case of extended(More)
— A radar-based method for producing both land-cover classification and stem volume estimates for the forested areas is demonstrated. The method utilizes multi-temporal INSAR data that is segmented into quasi-homogenous segments, and a semi-empirical backscattering-coherence model that is inverted to produce stem volume estimates for the forest segments.(More)
In this work a coherent backscattering model has been employed to simulate L-band polarimetric backscattering from a single pine tree and a small pine forest stand. The recently developed 'Electromagnetic Scattering Model for Forest Remote Sensing' has been employed in calculations. The backscattering model uses the discrete particle approach and it can(More)
Automatic mapping of built-up areas from a multitemporal interferometric ERS-1/2 Tandem dataset was studied. The image data were segmented into homogeneous regions, and the regions were classified as built-up areas, forests, and open areas using their mean intensity and coherence values and additional contextual information. Compared with a set of reference(More)
This study is a first assessment of fully polarimetric SAR data from the Advanced Land Observation Satellite (ALOS) – Phased Array type L-band Synthetic Aperture Radar (PALSAR) over the test-site of Oberpfaffenhofen in Germany. The polarimetric calibration is checked by using corner reflectors on the Oberpfaffenhofen test-site. Further, the fully(More)