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EARTH OBSERVATION AND MONITORING

Remote sensing is offering many sensors and techniques to observe and monitor our planet with very high frequency and resolution. We investigate methods and develop solutions for image-based multi-temporal analyses like landslide monitoring, landscape analyses, rapid mapping, etc.

Current and closed projects under this research line are listed below.

The project aims to investigate the potentialities of oblique aerial camera systems for building 3D reconstruction, cadaster applications, structural damage classification, land administration services, etc.

RAPIDMAP - RAPID MAPping - deals with Remote Sensing (RS) and GIS technologies for collecting and managing geo-information of disasters and damages. The project developed practical ways to process and integrate RS data in near real time and allow users to use those data soon after disasters by means of WebGIS tools.

The project aims at developing a reliable methodology for the processing of aerial imagery for the derivation of high quality 3D data and energy audit. The partners will thus deliver innovative and replicable solutions for the distribution of useful services to citizens and public administrations based on spatial information.

SLICE3D - SLovenIan Centre of Excellence on 3D geodata - is a WIDESPREAD EU H2020 project aiming at the realization of a a Centre of Excellence on 3D/4D geospatial data in Slovenia. The Centre will focus on the capacity building and research activities aiming to achieve the scientific excellence in the fields of 3D and 4D geodata, which are the basis for many decisions of the society. The ambition is to create a Centre which will achieve strong medium- and long-term scientific presence at the European and wider international level. Beside the scientific goals, societal and economic contributions are foreseen, since the scientific achievements and problem-oriented innovations are supposed to be used in practical applications that can be brought to the market through different technology transfer measures.

3D city and landscape models are used to estimate the incoming solar radiation and evaluate the quality of the roofs as possible locator of photovoltaic panels.

STEM - Sistema di Telerilevamento e Monitoraggio del Territorio e dell'Ambiente Trentino / Remote Sensing tool for monitoring landscape and environment in the Trentino region - is a project which aims to use Remote Sensing data and machine learning techniques for land management and environmental monitoring.

The project (Trento Citta' Fortezza - Festung Trient - Trento City Fortress) aims to create cartographic and multimedia products related to Trento City Fortress, i.e. the city of Trento fortified by the Austro-Hungarian army at the beginning of 1900 to defend it against a possible Italian attack (WWI).

VOLTA – innoVation in geOspatiaL and 3D daTA - is an EU Marie Skłodowska-Curie RISE which will develop, thought secondments, training and networking activities, innovative solutions in the field of photogrammetry, data / sensor fusion, semantic segmentation and cloud computing for geospatial data. VOLTA has 13 partners and will run for 4 years.

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