Landslide detection using ALOS optical and radar data. A case study from the Ilia prefecture.

Στην εργασία αυτή παρουσιάζεται  η χρήση οπτικών δεδομένων καθώς και ραντάρ δεδομένων  από  το  δορυφόρο ALOS   για  τον  εντοπισμό  μίας  κατολίσθησης.  Ο δορυφόρος ALOS   διαθέτει  τρεις  δέκτες.  Έναν  παγχρωματικό  δέκτη  (PRISM)  που λαμβάνει στερεοεικόνες, ένα   πολυφασματικό δέκτη (AVNIR-2) και ένα δέκτη ραντάρ (PALSAR).   Η περιοχή μελέτης εντοπίζεται στη Δυτική Πελοπόννησο στην περιοχή της Ανδρίτσαινας και  συγκεκριμένα  στο  χωριό  Συκιές.  Η  περιοχή  υπέστη  σημαντικές καταστροφές  από  τις  πυρκαγιές  του  2007.  Σαν  αποτέλεσμα πολλές  κατολισθήσεις καταγράφησαν  τα επόμενα  χρόνια. Η  συγκεκριμένη κατολίσθηση  σημειώθηκε  τον Ιανουάριο του 2009 συνεπεία πολύ έντονων βροχοπτώσεων και χαρτογραφήθηκε στο πεδίο  με  χρήση DGPS   .  Η  δυνατότητα  εντοπισμού  της  κατολίσθησης  από  τα δορυφορικά δεδομένα ALOS  εξετάζεται στην παρούσα εργασία και παρουσιάζονται τα αποτελέσματα. Γίνεται χρήση τεχνικών συμβολομετρίας για την επεξεργασία τριάντα εικόνων ραντάρ καθώς και χρήση φωτογραμμετρικών τεχνικών για την επεξεργασία των στερεοσκοπικών οπτικών δεδομένων.In this study the usefulness of the ALOS optical and radar data for landslide monitoring  is  examined.  ALOS  contains  three  sensors,  commonly  referred  to  as  the “three eyes” of ALOS. These sensors are: the Panchromatic Remote-Sensing Instrument for Stereo Mapping (PRISM), the Advanced Visible and Near Infrared Radiometer type 2 (AVNIR-2), and the Phased Array type L-band Synthetic Aperture Radar (PALSAR). The area of study is located in a small village named Sykies near to the city of Andritsena in Western Peloponnese. The area suffered during the last years from enormous fires. As a result many landslides have been recorded. One of the latest Landslides has been recorded on January 2009 as a consequence of heavy rains. That landslide was mapped in situ using differential GPS. The possibility of detecting and mapping the specific landslide using ALOS data is examined in this study and the results are presented. Thirty ALOS radar images within a period of three years, two ALOS Prism data sets and two ALOS AVNIR collected over the same area within a year were used

Exploring elements of the cheese purchase decision process through application of purchasing involvement methodology The case of cheese products in Athens, Greece

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DEFORMATION EFFECTS OF DAMS ON COASTAL REGIONS USING SENTINEL-1 IW TOPS TIME SERIES: THE WEST LESVOS, GREECE CASE

Coastal zones are vulnerable to erosion and loss by level sea rise. Subsidence caused by the reduction of fluvial sediments in coastal zones found close to dams, is another important deformation factor. Quantification of the deformation rate of coastal region is essential for natural and anthropogenic activities. The study utilizes Interferometric SAR (Synthetic Aperture Radar) techniques and exploits the archive of Sentinel-1 TOPS data for the period 2014–2016. The freely available, wide ground coverage (250 × 170 km) and small temporal resolution Sentinel-1 TOPS datasets are promising for coastal applications. Persistent Scatterer Interferometry (PSI) methodologies are considered state-of-the-art remote sensing approaches for land deformation monitoring. The selected PSI method is the Small Baseline Subset (SBAS) multitemporal InSAR technique. The study area of this study is the coastal zone of west region of Lesvos Island, Greece. The main characteristic of the area is the reduction of the fluvial sediment supply from the coastal drainage basins due to construction of dams and the abstraction of riverine sediments. The study demonstrates the potentials of the SBAS method for measuring and mapping the dynamic changes in coastal topography in terms of subsidence rates and discusses its advantages and limitations. The results show that natural and rural environments appear to have diverse ground deformation patterns