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Remote sensing plays a key role in monitoring and assessing environmental changes. Because of its special imaging characteristicssuch as high-resolution, capabilities to obtain data in all weather conditions and sensitivity to geometrical and dielectric properties ofthe features, Synthetic Aperture Radar (SAR) technology has become a powerful technique to detect small scale changes related toearth surface.SAR images contain the information of both phase and intensity in different modes like single, dual and fullpolarimetric states which are important in order to extract information about various targets. In this study we investigatephenological changes in an agricultural region using high-resolution X-band SAR data. The case study is located in Doroud regionof Lorestan province, west of Iran. The purpose is to investigate the ability of copolar and interferometric coherence extracted fromTanDEM-X dual polarimetry (HH/VV) in bistatic StripMap mode for tracking the phenological changes of crops during growingseason. The data include 11 images acquired between 12.06.2012 and 02.11.2012 and 6 images acquired between 30.05.2013 and04.08.2013 in the CoSSC format. Results show that copolar coherence is almost able to follow phenological changes butinterferometric coherence has a near constant behaviour with fluctuations mainly related to baseline variations

the international archives of the photogrammetry, remote sensing and spatial information sciences/international archives of the photogrammetry, remote sensing and spatial information sciences

Phenological tracking og agricultural feilds investigated by using dual polarimetry tanDEM-X images