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)
1. ABSTRACT The very short temporal separation (about 28 minutes) of the ERS-2 and ENVISAT satellites is very attractive to obtain almost-simultaneous acquisitions, appealing for SAR Interferometric applications both for the very high temporal correlation, for the strong reduction of atmospheric artefacts, and for monitoring fast displacements. The problem(More)