• Machine-Learning Applications for the Retrieval of Forest Biomass from Airborne P-Band SAR Data 

  Santi E; Paloscia S; Pettinato S; Cuozzo G; Padovano A; Notarnicola C; Albinet C (2020)

  This study aimed at evaluating the potential of machine learning (ML) for estimating forest biomass from polarimetric Synthetic Aperture Radar (SAR) data. Retrieval algorithms based on two different machine-learning methods, ...
• Performance Evaluation of Phase and Weather-Based Models in Atmospheric Correction With Sentinel-1Data: Corvara Landslide in the Alps 

  Darvishi M; Cuozzo G; Bruzzone L; Nilfouroushan F (2020)

  Phase delay caused by atmospheric effects due to spatial and temporal variations of pressure, temperature, and water vapor content is one of the major error sources in estimation of ground deformation by interferometric ...
• SInCohMap Sentinel-1 Interferometric Coherence for Land Cover Mapping 

  Jacob A; Vicente-Guijalba F; Lopez-Martinez C; Lopez-Sanchez JM; Notarnicola C; Duro J; Sonnenschein R; Dabrowska-Zielinska K; Hoscilo A; Pottier E; Lavalle M; Engdahl M (2017)

  At: FRINGE 2017 ; Helsinki ; 05/06/2017 - 09/06/2017 ; In this abstract new ESA SEOM project is presented, which will start in January 2017. The main objective of this research is to develop, analyze and validate novel ...
• SInCohMap: Land Cover Classification and Vegetation Mapping Based on Sentinel-1 Multi-Temporal Interferometric Coherence 

  Vicente-Guijalba F; Jacob A; Notarnicola C; Mestre-Quereda A; Lopez-Sanchez JM; Lopez-Martinez C; Ziolkowski D; Dabrowska K; Bochenek Z; Pottier E; Mallorqui JJ; Lavalle M; Duro J; Antropov O; Suresh G; Engdahl M (2018)

  At: 7th International BioGeoSAR Workshop ; Wessling ; 12/11/2018 - 15/11/2018
• Land-cover classification results and lessons learnt from the Round Robin Consultation within the ESA SEOM SInCohMap project 

  Vicente-Guijalba F; Jacob A; Notarnicola C; Mestre-Quereda A; Lopez-Sanchez JM; Lopez-Martinez C; Ziolkowski D; Dabrowska K; Bochenek Z; Pottier E; Mallorqui JJ; Lavalle M; Duro J; Antropov O; Suresh G; Engdahl M (2018)

  At: ESA Phi-week ; Frascati ; 12/11/2018 - 16/11/2018 ; The Sentinel-1 (S-1) mission defines a whole new playground to explore the limits and potentials of diverse technologies to generate updated and precise global ...
• Participatory Earth Observation Research in the Alps: The Sentinel Alpine Observatory 

  Jacob A; Zebisch M; Notarnicola C; Sonnenschein R; Marin C; Monsorno R; Costa A; Vianello A (2018)

  At: ESA Phi-week ; Frascati ; 12/11/2018 - 16/11/2018 ;  The Alps are amongst the most vulnerable and dynamic regions in Europe with respect to natural hazards, impacts of climate change or pressure on sensitive ecosystems. ...
• Use of Sentinel-1 radar observations to evaluate snowmelt dynamics in alpine regions 

  Marin C; Bertoldi G; Premier V; Callegari M; Brida C; Hürkamp K; Tschiersch J; Zebisch M; Notarnicola C (2020)

  Knowing the timing and the evolution of the snow melting process is very important, since it allows the prediction of (i) the snowmelt onset, (ii) the snow gliding and wet-snow avalanches, (iii) the release of snow ...
• Changes in climate patterns and their association to natural hazard distribution in South Tyrol (Eastern Italian Alps) 

  Schlögel R; Kofler C; Gariano SL; Van Campenhout J; Plummer S (2020)

  In Alpine regions changes in seasonal climatic parameters, such as temperature, rainfall, and snow amount have already been observed. Specifically, in the South Tyrol area, meteorological observations indicate that ...
• An inventory-driven rock glacier status model (intact vs. relict) for South Tyrol, Eastern Italian Alps 

  Kofler C; Steger S; Mair V.; Zebisch M; Comiti F; Schneiderbauer S (2020)

  Ice presence in rock glaciers is a topic that is likely to gain importance in the future due to the expected decrease in water supply from glaciers and the increase of mass movements originating in periglacial areas. This ...
• 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 ...

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