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Earth Observation (EO) makes it possible to obtain information on key parameters characterizing interactions among Earth’s system components, such as evaporative fraction (EF) and surface soil moisture (SSM). Notably, techniques utilizing EO data of land surface temperature (Ts) and vegetation index (VI) have shown promise in this regard. The present study presents an implementation of a downscaling method that combined the soil moisture product from SMOS and the Fractional Vegetation Cover provided by Sentinel 3 ESA platform.The applicability of the investigated technique is demonstrated for a period of two years (2017-2018) using in-situ data acquired from five CarboEurope sites and from all the sites available in the REMEDHUS soil moisture monitoring network, representing a variety of climatic, topographic and environmental conditions. Predicted parameters were compared against co-orbital ground measurements acquired from several European sites belonging to the CarboEurope ground observational network.Results indicated a close agreement between all the inverted parameters and the corresponding in-situ data. SSM maps predicted from the “triangle” SSM showed a small bias, but a large scatter. The results of this study provide strong supportive evidence of the potential value of the investigated herein methodology in accurately deriving estimates of key parameters characterising land surface interactions that can meet the needs of fine-scale hydrological applications. Moreover, the applicability of the presented approach demonstrates the added value of the synergy between ESA’s operational products acquired from different satellite sensors, namely in this case SMOS & Sentienl-3. As it is not tight to any particular sensor can also be implemented with technologically advanced EO sensors launched recently or planned to be launched.In the present work Dr Petropoulos participation has received funding from the European Union’s Horizon 2020 research and innovation programme ENViSIoN under the Marie Skłodowska-Curie grant agreement No 752094.

International audience; The late-Cenozoic kinematic and late-Pleistocene paleoearthquake history of the Spili Fault is examined using slip-vector measurements and in situ cosmogenic (Cl-36) dating, respectively. The Spili Fault appears to have undergone at least three successive but distinct phases of extension since Messinian (similar to 7 Ma), with the most recent faulting resulting in the exhumation of its carbonate plane for a fault-length of similar to 20 km. Earthquake-slip and age data show that the lower 9 m of the Spili Fault plane were exhumed during the last similar to 16,500 years through a minimum of five large-magnitude (Mw > 6) earthquakes. The timing between successive paleoearthquakes varied by more than one order of magnitude (from 800 to 9000 years), suggesting a highly variable earthquake recurrence interval during late Pleistocene (CV = 1). This variability resulted to significant fluctuations in the displacement rate of the Spili Fault, with the millennium rate (3.5 mm/yr) being about six times faster than its late-Pleistocene rate (0.6 mm/yr). The observed variability in the slip-size of the paleoearthquakes is, however, significantly smaller (CV = 0.3). These data collectively suggest that the Spili Fault is one of the fastest moving faults in the forearc of the Hellenic subduction margin. (C) 2014 Elsevier Ltd. All rights reserved.

Η παλαιοσεισμική δραστηριότητα στο ρήγμα του Σπηλίου μελετήθηκε χρησιμοποιώντας μία πρωτοποριακή μέθοδο που συνδιάζει μετρήσεις Σπανίων Γαιών (REE) και κοσμογενών ισοτόπων 36Cl πάνω στην σεισμικά αποκαλυμμένη επιφάνεια του ρήγματος. Η ανάλυση των δεδομένων δείχνει ότι το ρήγμα είναι ενεργό και έχει φιλοξενήσει τουλάχιστον 5 μεγάλου-μεγέθους σεισμούς τα τελευταία 16500 χρόνια. Οι δύο πιο πρόσφατοι σεισμοί έλαβαν χώρα κατά την περίοδο 100-900 ετών πρίν από σήμερα και άθροισαν συνολικά 3.5 μέτρα σεισμικής μετατόπισης. Η χρονολογία των παλαιότερων 3 σεισμών προσδιορίσθηκε στα 7300, 16300 και 16500 χρόνια πριν από σήμερα με σεισμικές ολισθήσεις 2.5, 1.2 και 1.8 μέτρα, αντίστοιχα. Από το μέγεθος των σεισμικών ολισθήσεων συμπεραίνουμε ότι το μέγεθος των σεισμών που προκλήθηκαν από το ρήγμα του Σπηλίου κυμάνθηκε από Μ 6.3-7.3 ενώ ο μέσος ρυθμός επανάληψης τους ήταν ~4200 χρόνια. Τα παραπάνω δεδομένα αποκαλύπτουν ότι το ρήγμα του Σπηλίου είναι ένα από τα πιο ενεργά ρήγματα στην Κρήτη και οι σεισμικές παράμετροί που σχετίζονται με την δραστηριότητά του πρέπει να συμπεριληφθούν στο μοντέλο σεισμικής επικινδυνότητας της Ελλάδας., The paleoearthquake activity on the Spili Fault is examined using a novel methodology that combines measurements of Rare Earth Elements (REE) and of in situ cosmogenic 36Cl on the exhumed fault scarp. Data show that the Spili Fault is active and has generated a minimum of five large-magnitude earthquakes over the last ~16500 years. The timing and, to a lesser degree, the slip-size of the identified paleoearthquakes was highly variable. Specifically, the two most recent events occurred between 100 and 900 years BP producing a cumulative displacement of 3.5 meters. The timing of the three older paleoearthquakes is constraint at 7300, 16300 and 16500 years BP with slip sizes of 2.5, 1.2 and 1.8 meters, respectively. The magnitude of the earthquakes that produced the measured co-seismic displacements, ranges from M 6.3-7.3 while the average earthquake recurrence interval on the Spili Fault is about 4200 years. The above data suggest that the Spili is among the most active faults on Crete and its earthquake parameters may be incorporated into the National Seismic Hazard Model.

INTAMAP is a Web Processing Service for the automatic spatial interpolation of measured point data. Requirements were (i) using open standards for spatial data such as developed in the context of the Open Geospatial Consortium (OGC), (ii) using a suitable environment for statistical modelling and computation, and (iii) producing an integrated, open source solution. The system couples an open-source Web Processing Service (developed by 52 degrees North), accepting data in the form of standardised XML documents (conforming to the OGC Observations and Measurements standard) with a computing back-end realised in the R statistical environment. The probability distribution of interpolation errors is encoded with UncertML, a markup language designed to encode uncertain data. Automatic interpolation needs to be useful for a wide range of applications and the algorithms have been designed to cope with anisotropy, extreme values, and data with known error distributions. Besides a fully automatic mode, the system can be used with different levels of user control over the interpolation process.