The Center for Sensing Solutions follows the FAIR principles of data: Findable, Accessible, Interoperable and Reusable while facilitating the analysis and results distribution.
© Eurac Research | Fabio Dalvit
Our team of data scientists and software developers offer their expertise in data organisation, discoverability, sharing and processing. Sensing technology experts provide the optimal solutions for the collection of measurements according to research and company requirements, providing sensors, communication systems and performant databases.
Have a look to our:
DISCOVER OUR SERVICES
- Environmental and proximal sensing
- Sensor conditioning and characterisation
- Conceptualisation, development and validation of electronic prototypes
- Data collection with different platforms and integration at different scales
- IoT frameworks management and development of customized solutions
Sensing Technology Services
- Data acquisition
- Data organisation: spatial and temporal databases
- Data process and analysis: cloud computing, algorithms implementation and web tools
- Data sharing and visualization: Web-GIS applications, API and OGC standard web services
- Data Portal development: decision support systems and data management systems
- Data discovery: Metadata generation, Management and Catalogue Web Service.
The spatial data infrastructures (SDI) of Eurac supports storing and querying of spatial data of potentially any raster and vector type. It has been designed and implemented with a scalable architecture, in terms of memory and runtime for time-series operations and for image-processing operations, and is based on open standards (OGC). The SDI support also the temporal dimension in order to satisfy spatial time series analysis. The services we offer on the SDI concern the full data life cycle.
Data acquisition: We support scientific and industrial projects in optimizing the acquisition system, in terms of sensors and platforms. Furthermore, we can benefit from a scalable proprietary application which can help in handling heterogeneous data.
Data organization: The experience gained through many research projects prepared us to organize different type of data into a cluster of databases. The generic conceptual model which inspired us is the one proposed by the Open Geospatial Consortium defined as “Observation & Measurements”, and allows to handle earth observation data, in-situ time-series, UAV based data and measurements acquired by scientist during field campaigns. The result is an extended Environmental Data Base. For an exemple see here.
Data process and analysis
Data sharing and visualization: Product web visualization, WebGIS applications and framework, DSS
With this service we offer our experience in development web services and web application for product/map visualization like WebGIS and decision support system applications.
Data discovery: We offer a Catalogue web Service compliant to OGC standards to upload high quality meta-data. This Catalougue permit to access the information about dataset through a web interface.
True Color Images
Here you can view the very latest MODIS image of the Alps and Northern Italy acquired by Eurac Research. At an orbit of over 700 km above the Earth, the MODIS sensor on board NASA's Earth Observing System (EOS) Terra and Aqua satellites is capable of imaging the Earth at resolutions ranging from 250 m to 1 km in 36 spectral bands. The MODIS bands 4, 3, and 1 are displayed here as true-colour image.
Download Fact sheet & Test Set
View the True Colour Images of the Last 10 Days This work is licensed under a Creative Commons Attribution 4.0 International License
Please credit each image to "EURAC Receiving Station – Institute for Applied Remote Sensing, Bolzano, Italy" referring link to our web page.
Air Quality PM10
The PM10 (Particulate Matter) maps are based on MODIS Aerosol Optical Depth (AOD) data with a resolution of 10 km. The input data are the MOD04 products, the Boundary Layer Height (BLH) and the PM data from a set of ground stations. The processing steps include the estimation of the relationship between the PM, the AOD and the BLH for historical time series in each of the available stations. Then, a fitted function is used to estimate the PM concentration for the entire region of interest. The method, the validation and the error analysis are published in several papers. Download the Fact Sheet
The Meteo Product is a MODIS false colour composite, which highlights clouds and physical cloud properties. It is primarily intended for local weather services for short-range weather forecasting. We are currently producing near-real time day and nighttime images over the Alps and South Tyrol for each MODIS acquisition. For the channel selection and image enhancement, we follow the EUMETSAT guidelines for meteorological RGB image generations and select channels 6,2,1 during daytime and channel 20,31,32 during nighttime. Compared with commonly used AVHRR data, the MODIS RGB images have four times higher ground resolution of 250 m during the daytime. This allows a more accurate visual recognition of fog and clouds in narrow Alpine Valleys and facilitates the visual distinction of snow and clouds.
The nighttime MODIS product has a 1 km ground resolution Fact sheet Day image Fact sheet Night image
MODIS Daily Snow Cover
The snow cover map based on MODIS data has a resolution of 250 m. The input data are the atmospherically-corrected reflectances of MODIS MOD09GQ, MOD09GA and the MODIS level 1 product MOD021KM. The processing steps include converting the map projection (Sinusoidal to UTM WGS 84) and a topographic correction based on a digital elevation model (DEM). Then snow and clouds are classified using a decision-tree algorithm. Snow under the forest canopy is detected by comparing the Normalized Difference Vegetation Index (NDVI) of a winter image and a reference image from summer season. To enhance the cloud classification a cloud cover derived from MODIS level 1 product, MOD021KM is also included.
Download fact sheet & test set
Based on the standard MODIS product MOD/MYD14, Eurac Research is producing night fire alerts in the geographical projection ERTS89 (Lambert_Azimuthal_Equal_Area). Here a brief description of the MOD/MYD14 product: MODIS Thermal Anomalies/Fire products are primarily derived from MODIS 4- and 11-micrometer radiances. The fire detection strategy is based on absolute detection of a fire (when the fire strength is sufficient to detect), and on detection relative to its background (to account for variability of the surface temperature and reflection by sunlight). Numerous tests are employed to reject typical false alarm sources like sun glint or an unmasked coastline. MOD14 is level-2 swath data provided daily at 1 km resolution. The Science Data Sets of this product include fire-mask, algorithm quality, radiative power, and numerous layers describing fire pixel attributes. The Terra MODIS instrument acquires data twice daily (10:30 AM and PM), as does the Aqua MODIS (1:30 AM and PM). These four daily MODIS fire observations serve to advance global monitoring of the fire process and its effects on ecosystems, the atmosphere and climate.