• EXPLOITING THE SYNERGY BETWEEN SENTINEL-1 AND COSMO SKY-MED DATA FOR SNOW MONITORING IN ALPINE AREAS 

  Pettinato S; Paloscia S; Santi E; Notarnicola C; Callegari M; Marin C; Palchetti E (2019)

  The characterization of snow conditions and the estimate of snowpack parameters have been investigated in this paper, by taking into account both C- and X-band SAR data collected from Sentinel-1 (S-1) and Cosmo-SkyMed (CSK) ...
• Evaluating the potential benefit from use of different types of MODIS-based snow cover products on snowmelt runoff modelling using TOPMELT 

  Di Marco N; Righetti M; Avesani D; Zaramella M; Notarnicola C; Borga M (2019)

  This work aims to analyze the benefits of using different types of MODIS snow cover products in snowmelt runoff modelling by means of TOPMELT. With TOPMELT, pixels with similar clear sky radiation and air temperatureare ...
• SWE retrieval by exploiting COSMO-SkyMed X-band SAR imagery and ground data through a machine learning approach 

  De Gregorio L; Cigna F; Cuozzo G; Jacob A; Paloscia S; Pettinato S; Santi E; Tapete D; Bruzzone L; Notarnicola C (2019)

  The main objective of this work is to estimate Snow Water Equivalent (SWE) by jointly exploiting the information derived from X-band Synthetic Aperture Radar (SAR) imagery acquired by the Italian Space Agency COSMO-SkyMed ...
• ON THE USE OF MACHINE LEARNING AND POLARIMETRY FOR ESTIMATING SOIL MOISTURE FROM RADARSAT IMAGERY OVER ITALIAN AND CANADIAN TEST SITES 

  Santi E; Dabboor M; Pettinato S; Paloscia S; Notarnicola C; Greifeneder F; Cuozzo G (2019)

  This research aimed at exploiting the joint use of machine learning and polarimetry for improving the retrieval of surface soil moisture (SMC) from SAR acquisitions at C- and X-band.The study was conducted on an alpine ...
• The Snow Climate Change Initiative - Towards a long term global snow climate data record from satellite data 

  Nagler T; Derksen C; Schwaizer G; Essery R; Gustafsson D; Krinner G; Luojus K; Marin C; Metsaemaeki S; Mudryk L; Naegeli K; Notarnicola C; Salberg A; Solberg R; Wiesmann A; Wunderle S; Trofaier AM (2019)

  Seasonal snow is an important component of the global climate system. It is highly variable in space and time andsensitive to short term synoptic scale processes and long term climate-induced changes to temperature and ...
• Multi-temporal Interferometric Sentinel-1 data for land-cover classification: results from the SInCohMap project 

  Vicente-Guijalba F; Jacob A; Lopez-Martinez C; Notarnicola C; Mestre-Quereda A; Lopez-Sanchez JM; Ziolkowski D; Dabrowska K; Bochenek Z; Pottier E; Mallorqui JJ; Lavalle M; Duro J; Antropov O; Suresh G; Engdahl M (2019)

  At: Esa Living Planet Symposium ; Milan ; 13/05/2019 - 17/05/2019
• An integrated System Dynamics Model for multi-risk assessment for water scarcity in the Noce river catchment 

  Terzi S; Sušnik J; Masia S; Schneiderbauer S; Torresan S; Critto A (2019)

  At: ClimRisk19 - 7 Conferenza Annuale della Societá Italiana per le Scienze del Clima ; Trento ; 23/10/2019 - 25/10/2019
• Drought characterization over Trentino – South Tyrol: assessment of trends in meteorological indices and impacts on vegetation from optical remote sensing imagery 

  Crespi A; Bartkowiak P; Castelli M; Greifeneder F; Notarnicola C; Pasolli L; Petitta M; Zebisch M (2019)

  At: ClimRisk 2019 ; Trento ; 23/10/2019 - 25/10/2019
• openEO: an API for Standardised Access to Big Earth Observation Data in a Landscape of a Growing Number of EO Cloud Providers 

  Jacob A; Pebesma E; Neteler M; Wagner W; Verbesselt J; Mohr M; Dries J; Monsorno R; Buhdwar P; Briese C; Mistelbauer T; Schramm M; Kadunc M; Kempeners P; Gorelick N (2019)

  At: OGC Technical Comittee Meeting ; Leuven ; 24/06/2019 - 28/06/2019
• The Climate Report 2018 for South Tyrol: an interdisciplinary approach for communicating local climate change impacts and adaptation strategies 

  Crespi A; Bertoldi G; Zebisch M (2019)

  At: ClimRisk 2019 ; Trento ; 23/10/2019 - 25/10/2019 ; The Climate Report 2018 for South Tyrol was produced within an internal project of Eurac Research together with the support of other experts from universities, the ...
• openEO: an API for Standardised Access to Big Earth Observation Data in a Landscape of a Growing Number of EO Cloud Providers 

  Jacob A; Pebesma E; Neteler M; Wagner W; Verbesselt J; Mohr M; Dries J; Monsorno R; Budhwar P; Briese C; Mistelbauer T; Schramm M; Kadunc M (2019)

  At: Esa Living Planet Symposium ; Milan ; 13/05/2019 - 17/05/2019 ; With the opening of global archives of Earth Observation data streams from satellites we have arrived at a richness of operationally available observations ...
• System Dynamics Modelling for multi-risk assessments of water scarcity in the south-eastern Italian Alps 

  Terzi S; Sušnik J; Masia S; Schneiderbauer S; Torresan S; Critto A (2019)

  At: Inquimus 2019 ; Bonn ; 26/11/2018 - 28/11/2019 ; Mountain regions are facing multiple impacts due to climate change and anthropogenic activities. The modification of available water quantity due to shifts in ...
• openEO: an API for standardised access to Big Earth Observation data in a landscape of a growing number of EO cloud providers 

  Jacob A; Pebesma E; Neteler M; Wagner W; Verbesselt J; Mohr M; Dries J; Monsorno R; Buhdwar P; Briese C; Mistelbauer T; Schramm M; Kadunc M; Kempeners P; Gorelick N (2019)

  At: EARSeL Symposium ; Salzburg ; 01/07/2019 - 04/07/2019 ; With the opening of global archives of Earth Observation data streams from satellites we have arrived at a richness of operationally available observations over ...
• The backends of openEO: and how to become one 

  Jacob A; Dries J; Forest L; Neteler M; Mohr M (2019)

  At: ESA Phi-Week ; Frascati ; 09/09/2019 - 13/09/2019
• Machine Learning in Earth Observation: examples from the daily work at the Institute for Earth Observation 

  Jacob A; Bertone A; Barella R; Callegari M; Cuozzo G; De Gregorio L; Kofler C; Marin C; Notarnicola C; Premier V; Sonnenschein R; Steger S; Zebisch M (2019)

  At: Davinci: Know How Transfer Event Artificial Intelligence/Machine Learning 4th Meeting ; Bolzano/Bozen ; 03/09/2019 ; In the Institute for Earth Observation of Eurac Research, the key mission is the monitoring of ...
• H2020 EO Big Data Hackathon - preperation webinar - openEO & Candela 

  Jacob A; Dries J; Mohr M; Forest L; Neteler M; Pebesma E; Verbesselt J; Budhwar P; Schramm M (2019)

  The H2020 EO Big Data Hackathon is a joint event organised by five EU-funded H2020 projects that are developing cutting-edge software tools to process large amounts of earth observation data. In this Hackathon you will ...
• Snow bias in EURO-CORDEX regional climate models and its dependence on topography mismatch and cold bias in the European Alps 

  Matiu M; Crespi A; Petitta M; Notarnicola C; Zebisch M (2020)

  At: SnowHydro 2020 ; Bolzano/Bozen ; 28/01/2020 - 31/01/2020 ; Snow is a key environmental parameter in mountains, and in this changing climate reductions in snow are expected. Traditionally, future estimates of snow are ...
• A novel automatic method for glacier outlines extraction from Sentinel data 

  Barella R; Callegari M; Marin C; Klug C; Galos S; Sailer R; Nicholson L; Benetton S; Dinale R; Zebisch M; Notarnicola C (2019)

  At: Esa Living Planet Symposium ; Milan ; 13/05/2019 - 17/05/2019
• Combination of remote sensing data and physically based model for glacier mass balance estimation 

  Callegari M; Barella R; Marin C; Zebisch M; Notarnicola C (2019)

  At: Alpine Glaciology Meeting ; Innsbruck ; 28/02/2019 - 01/03/2019
• In-situ data workflow using OGC Sensor Web Enablement (SWE) 

  Ventura B; Vianello A; Rossi M; Frisinghelli M; Monsorno R; Costa A; Roncella R; Jacob A (2019)

  At: GEOSS Workshop ; Vienna ; 23/04/2019 - 25/04/2019 ; This presentation deals with the methodology developed at Eurac Research to manage the entire data workflow from ground station acquisition to data sharing, adopting ...

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