ESLAB @ NOI

Laboratorio di sensoristica ambientale nel Parco Tecnologico di Bolzano

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Nel contesto delle tecnologie alpine del parco tecnologico di Bolzano, il progetto ES LAB mette a frutto le attività ed il know-how acquisito dal gruppo di ricerca Tecnologie per il monitoraggio ambientale nei progetti MONALISA, EURAC SDI e Sentinel Alpine Observatory (SAO), Mazia LTER e SINFONIA. Il progetto si avvale inoltre dei rapporti redatti con locali SME e con enti strumentali della Provincia di Bolzano, per la creazione di un laboratorio quale centro di competenza per le tecnologie legate alla sensoristica per il monitoraggio ambientale. In particolare il progetto permetterà il consolidamento e l’ulteriore sviluppo di (i) un Sistema Informativo Integrato per la gestione, l’analisi e la fruizione di dati raccolti nel territorio altoatesino per il monitoraggio ambientale, (ii) tecnologie a microcontrollore/microprocessore a basso costo per la gestione e l’acquisizione di dati da sensori, (iii) una strategia ed un piano di sostenibilità dello stesso laboratorio quale infrastruttura per la ricerca e l’innovazione.

Persone di riferimento: Roberto Monsorno, Mejia Abraham

roberto.monsorno@eurac.edu; abraham.mejia@eurac.edu

Publications
Flexible, biocompatible, and ridged silicone elastomers based robust sandwich-type triboelectric nano-generator
Riaz R, Dudem B, Costa Angeli M, Douaki A, Ahmad M, Petrelli M, Mejia-Aguilar A, Monsorno R, Silva R, Lugli P, Petti L (2021)
Presentazione

Conference: IEEE International Flexible Electronics Conference | virtual conference | 8.8.2021 - 11.8.2021

Ulteriori informazioni: https://ifetc.org/virtual/index.php?page=presentation&sessio ...

https://hdl.handle.net/10863/18869

Estimating biomass and plant nitrogen content of (pre-)Alpine grasslands with multispectral UAS data
Schucknecht A, Seo B, Krämer A, Asam S, Mejia-Aguilar A, Kiese A (2020)
Presentazione

Conference: BonaRes Status Seminar | Leipzig, Germany | 17.2.2020 - 19.2.2020

https://hdl.handle.net/10863/16198

Vegetation traits of pre-Alpine grasslands in southern Germany
Schucknecht A, Kraemer A, Asam S, Mejia Aguilar A, Garcia-Franco N, Schuchardt MA, Jentsch A, Kiese R (2020)
Articolo su rivista
Scientific Data

Ulteriori informazioni: https://www.nature.com/articles/s41597-020-00651-7

https://doi.org/10.1038/s41597-020-00651-7

https://hdl.handle.net/10863/15956

UAV-based hyperspectral techniques for monitoring shallow erosion in alpine pastures
Lloyd J, Mejia-Aguilar A, Tonin R, Loebmann M, Gild Ch, Mayr A and Sonnenschein R (2019)
Presentazione

Conference: EGU General Assembly 2019 | Vienna | 7.4.2019 - 12.4.2019

HIS-HAPS-ALPS: Hyperspectral Imaging Systems mounted on High Altitude Pseudo Satellites observing ALpine Processes and ecoSystems
Mejia-Aguilar A, Fink F, Mayrgünter S, Monsorno R (2019)
Presentazione

Conference: HAPS4ESA | Leiden, The Netherlands | 12.2.2019 - 14.2.2019

https://hdl.handle.net/10863/9137

Multi-sensor approach to estimate the thermo-hygrometric comfort using new textiles and designs in cycling clothes
Mejia-Aguilar A, Monsorno R, Cazzaro M and Bergamo L (2018)
Contributo in atti di convegno
Close range methods to monitor vegetation dynamics on a dry alpine mountain grassland over different spatial and temporal scales
Mejia-Aguilar A, Rossi M, Niedrist G, Asam S, Tonon G, Zebisch M, Notarnicola C (2018)
Presentazione

Conference: 9th Workshop on Hyperspectral Image and Signal Processing| Evolution in Remote Sensing | Amsterdam, The Netherlands : 23.9.2018 - 26.9.2018

Sensorsystem für Sportbekleidung: Schutz vor Überhitzung und Unterkühlung
Mejia Aguilar A (2018)
Radio-TV

Ulteriori informazioni: https://www.deutschlandfunk.de/sensorsystem-fuer-sportbeklei ...

Cosmic Ray Neutron sensing in complex systems
Piussi L, Tonon G, Mejia-Aguilar A, Monsorno R, Zebisch M, Bertoldi G, Tomelleri E (2018)
Presentazione

Conference: European Geosciences Union General Assembly 2018 | Vienna | 8.4.2018 - 13.4.2018

https://hdl.handle.net/10863/9146

Design of a low-cost and open-source sensor node for landslide monitoring oriented to IoT early warning system: a case of study in alpine areas
Mejia-Aguilar A, Kofler C, Schlögel R, Van Campenhout J (2018)
Presentazione

Conference: European Geosciences Union General Assembly 2018 | Vienna | 8.4.2018 - 13.4.2018

https://hdl.handle.net/10863/9145

Multi-sensor approach to estimate the thermo-hygrometric comfort using new textiles and designs in cycling clothes
Mejia-Aguilar A, Monsorno R, Cazzaro M, Bergamo L (2018)
Contributo in atti di convegno

Conference: World Congress of the International Measurement Confederation (IMEKO) | Belfast | 3.9.2018 - 6.9.2018

Ulteriori informazioni: https://doi.org/10.1088/1742-6596/1065/12/122022

https://doi.org/10.1088/1742-6596/1065/12/122022

https://hdl.handle.net/10863/8792

Inversion of the PROSAIL model from UAV data
Tomelleri E, Mejia-Aguilar A (2018)
Presentazione

Conference: International Geoscience and Remote Sensing Symposium, IGARSS 2018 | Valencia | 22.7.2018 - 27.7.2018

https://hdl.handle.net/10863/9232

Landslide Monitoring with Multi-Sensor and Temporal Scale Approaches: A Test Site in Alpine Environment
Mejia-Aguilar A, Schlögel R, Kofler C, D Mehdi (2017)
Contributo in atti di convegno

Conference: 5th International Symposium on Sensor Science (I3S 2017) | Barcelona | 27.9.2017 - 30.9.2017

Ulteriori informazioni: http://www.mdpi.com/2504-3900/1/8/797

https://doi.org/10.3390/proceedings1080797

https://hdl.handle.net/10863/8942

UAV-based data lifecycle with multi-sensor platform applied in mountain regions
Mejia-Aguilar A, Tomelleri E, Ventura B, Monsorno R (2017)
Presentazione

Conference: Virtual Alpine Observatory 2017 | Bolzano | 13.3.2017 - 15.3.2017

https://hdl.handle.net/10863/18978

3D Reconstruction of a large landslide from UAV-based imagery
Darvishi M , Toschi I, Remondino F, Schlögel R, Thiebes B, Mejia Aguilar A, Tomelleri E, Rutzinger M, Zieher T, Bruzzone L (2016)
Presentazione

Conference: Young Professionals Conference on Remote Sensing (YPIEEE) | Oberpfaffenhofen, Germany | 20.10.2016 - 21.10.2016

Ulteriori informazioni: https://www.researchgate.net/publication/318653719_3D_RECONS ...

https://hdl.handle.net/10863/18807