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ESLAB @ NOI

Environmental Sensing Laboratory at Technology Park

The internal project ES LAB project brings the activities and the knowhow of the group Technologies for Environmental Monitoring into the context of the Technology Park Bolzano. These activities and knowhow were acquired in the projects MONALISA, EURAC SDI, Sentinel Alpine Observatory (SAO), Mazia LTER, SINFONIA, as well as within the reports written in collaboration with local SMEs and authorities of the province of Bolzano. The establishment of a laboratory serves the creation of a center of competence for environmental monitoring technology. The project allows to further consolidate and develop (i) an integrated information system for management and analysis of the environmental monitoring data aquired in the territory of South Tyrol, (ii) low cost micro controller/processor technology for data acquisition and processing, (iii) a strategy and planning for sustainable operation of the laboratory as an infrastructure for research and innovation.

Contact persons: Roberto Monsorno and Abraham Mejia Aguilar

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

Project duration: January 2017 - December 2018
Project status:
Funding:
Public institutions (Other projects /Project)
Institute: Institute for Earth Observation

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sensing solutions

Scientific Publications

Journal article2020

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

The data set contains information on aboveground vegetation traits of > 100 georeferenced locations within ten temperate pre-Alpine grassland plots in southern Germany. The grasslands were sampled in April 2018 for the following traits: bulk canopy height; weight of fresh and dry biomass; dry weight percentage of the plant functional types (PFT) non-green vegetation, legumes, non-leguminous forbs, and graminoids; total green area index (GAI) and PFT-specific GAI; plant water content; plant carbon and nitrogen content (community values and PFT-specific values); as well as leaf mass per area (LMA) of PFT. In addition, a species specific inventory of the plots was conducted in June 2020 and provides plot-level information on grassland type and plant species composition. The data set was obtained within the framework of the SUSALPS project (“Sustainable use of alpine and pre-alpine grassland soils in a changing climate”; https://www.susalps.de/) to provide in-situ data for the calibration and validation of remote sensing based models to estimate grassland traits.

DOI Source

DOI: 10.1038/s41597-020-00651-7

Conference proceedings article2018

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

Roberto Monsorno

The performance of athletes doing outdoor sport activities, such as cycling, is highly affected by the thermo-hygrometric comfort which depends on environmental and individual factors, such as geographical characteristics, season of the year, actual weather condition, physical and physiological state, and very important, the characteristics of personal garment that should protect the individual athlete. In this study, we use a multi-sensor approach to estimate thermo-hygrometric comfort of new textiles and designs in cycling clothes. The method relies on a simplified transfer of heat-moisture transport model over multiple layers

DOI Source

DOI: 10.1088/1742-6596/1065/12/122022

Conference proceedings article2017

Landslide Monitoring with Multi-Sensor and Temporal Scale Approaches: A Test Site in Alpine Environment

Mejia-Aguilar A, Schlögel R, Kofler C, D Mehdi

Landslides in alpine environment are present as earthflows, rock falls, shallow slides, debris
flows, among others. The dynamics of the surface deformations have many causes, among them the
inner geomorphological processes, extreme weather events or human activities that aggravate or
accelerate it.
In this work, we combine diverse technologies (sensors) at different spatial and temporal scales
(platforms) to better understand the complexity of the gravitational mass movement located in
Corvara in Badia, Italian Dolomites. The setup consist of: (i) a monthly surveying GNSS for tracking
artificial corner reflectors (reflecting objects) used in three different scales for determining velocity
vectors: in situ, proximal and remote sensing. (ii) two in situ stations equipped with a DSLR camera
with an automatic time-lapse program based on a low-cost solution system acquiring two daily
images covering active part of the landslide for tracking objects and conducting photogrammetry
analysis, (iii) an UAV platform with compact cameras flying yearly on the active landslide (8 ha.) for
proximal sensing scale retrieving DEM, orthomosaics and cloud points determining 6-axis movement
in objects and (iv) Sentinel-1 imagery processed by Synthetic Aperture Interferometry (InSAR) as
remote sensing application combined to the previous ones. The benefits and drawbacks of every
approach will be presented.Landslides in alpine environment are present as earthflows, rock falls, shallow slides, debris
flows, among others. The dynamics of the surface deformations have many causes, among them the
inner geomorphological processes, extreme weather events or human activities that aggravate or
accelerate it.
In this work, we combine diverse technologies (sensors) at different spatial and temporal scales
(platforms) to better understand the complexity of the gravitational mass movement located in
Corvara in Badia, Italian Dolomites. The setup consist of: (i) a monthly surveying GNSS for tracking
artificial corner reflectors (reflecting objects) used in three different scales for determining velocity
vectors: in situ, proximal and remote sensing. (ii) two in situ stations equipped with a DSLR camera
with an automatic time-lapse program based on a low-cost solution system acquiring two daily
images covering active part of the landslide for tracking objects and conducting photogrammetry
analysis, (iii) an UAV platform with compact cameras flying yearly on the active landslide (8 ha.) for
proximal sensing scale retrieving DEM, orthomosaics and cloud points determining 6-axis movement
in objects and (iv) Sentinel-1 imagery processed by Synthetic Aperture Interferometry (InSAR) as
remote sensing application combined to the previous ones. The benefits and drawbacks of every
approach will be presented.

DOI Source

DOI: 10.3390/proceedings1080797

All 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)
Presentation/Speech

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

More information: https://ifetc.org/virtual/index.php?page=presentation&se ...

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

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)
Journal article
Scientific Data

More information: https://www.nature.com/articles/s41597-020-00651-7

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

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

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)
Presentation/Speech

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

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

Project Team

Roberto Monsorno

Project Manager

Abraham Mejia Aguilar

Vice Manager

Armin Costa

Simone Tritini

Bartolomeo Ventura

Andrea Vianello

Alexander Jacob

Scientific Advisory Board

Awards

Products

Technical
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Conference proceedings article2017

Landslide Monitoring with Multi-Sensor and Temporal Scale Approaches: A Test Site in Alpine Environment

Mejia-Aguilar A, Schlögel R, Kofler C, D Mehdi

DOI Source

DOI: 10.3390/proceedings1080797

ESLAB @ NOI