• 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 ...
• Sentinel-1 InSAR Coherence for Land Cover Mapping: A Comparison of Multiple Feature-Based Classifiers 

  Jacob AW; Vicente-Guijalba F; Lopez-Martinez C; Lopez-Sanchez JM; Litzinger M; Kristen H; Mestre-Quereda A; Ziółkowski D; Lavalle M; Notarnicola C; Suresh G; Antropov O; Ge S; Praks J; Ban Y; Pottier E; Mallorquí Franquet JJ; Duro J; Engdahl ME (2020)

  This article investigates and demonstrates the suitability of the Sentinel-1 interferometric coherence for land cover and vegetation mapping. In addition, this study analyzes the performance of this feature along with ...
• Learnings from a Climate Risk and Vulnerability Assessment (CRVA) in a mountainous district in Northern Tajikistan 

  Zebisch M; Renner K (2019)

  At: International Mountain Conference ; Innsbruck ; 08/09/2019 - 12/09/2019
• Alpine Cryosphere Monitoring @ Eurac Research 

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

  At: EODC forum 2019 ; Vienna ; 21/05/2019 - 22/05/2019
• Towards a data driven approach for the global estimation of surface soil moisture based on Sentinel-1 

  Greifeneder F; Notarnicola C; Wagner W (2019)

  At: Esa Living Planet Symposium ; Milan ; 13/05/2019 - 17/05/2019
• Impact Chains and System Dynamics Modelling for multi-risk assessments and climate change adaptation 

  Terzi S; Schneiderbauer S; Torresan S; Zebisch M; Critto A (2019)

  At: International workshop on modelling risk and resilience in human and natural systems ; Bern ; 05/05/2019 - 09/05/2019 ; Whilst most natural hazards have been critically scrutinized for many years, research unravelling ...

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