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CALCHAS SIGNED

Computational Intelligence for Multi-Source Remote Sensing Data Analytics

Total Cost €

0

EC-Contrib. €

0

Partnership

0

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 CALCHAS project word cloud

Explore the words cloud of the CALCHAS project. It provides you a very rough idea of what is the project "CALCHAS" about.

integration    merits    time    deep    situ    volume    earth    generative    automated    appropriate    resolution    sampling    ground    intelligent    sensing    shifting    geophysical    transformation    employed    spatial    multispectral    smos    aggregation    fusion    radical    diverse    active    enhancement    eo    signal    acquired    undergoing    temporal    calchas    irrigation    remote    sources    data    vision    technologies    nature    localized    observations    optimized    analyzing    dramatically    monitoring    scales    tools    passive    instruments    detection    environmental    water    edge    acquire    observation    efficient    networks    imaging    innovative    cutting    pipeline    framework    mathematical    dynamic    utilized    supervised    modalities    spaceborne    sentinels    microwave    source    coarse    powerful    global    accuracy    learning    leakage    massive    moisture    extracting    paradigm    series    autonomous    estimation    sensor    solutions    extended    single    demonstrated    quality    smap    soil    scope    satellites   

Project "CALCHAS" data sheet

The following table provides information about the project.

Coordinator
IDRYMA TECHNOLOGIAS KAI EREVNAS 

Organization address
address: N PLASTIRA STR 100
city: IRAKLEIO
postcode: 70013
website: www.forth.gr

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Greece [EL]
 Total cost 215˙492 €
 EC max contribution 215˙492 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2018
 Funding Scheme MSCA-IF-GF
 Starting year 2019
 Duration (year-month-day) from 2019-11-01   to  2022-04-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    IDRYMA TECHNOLOGIAS KAI EREVNAS EL (IRAKLEIO) coordinator 215˙492.00
2    UNIVERSITY OF SOUTHERN CALIFORNIA US (LOS ANGELES CA) partner 0.00

Map

Leaflet | Map data © OpenStreetMap contributors, CC-BY-SA, Imagery © Mapbox

 Project objective

Earth Observation (EO) is undergoing a radical transformation due to the massive volume of observations acquired by remote sensing and in-situ sensor networks. While satellites provide coarse-resolution, yet global-scale monitoring of environmental processes, in-situ sensor networks acquire high-accuracy localized measurements. Extracting information from spaceborne and ground based instruments requires innovative solutions which will allow the autonomous integration of diverse in nature and scale observations in order to provide high-quality geophysical parameter estimation. CALCHAS will demonstrate cutting edge technologies targeting three major factors towards the vision of fully automated multi-source EO data understanding, namely (i) the fusion of observations from different sources and modalities, (ii) the efficient aggregation of the sampling scales associated with spaceborne and in-situ measurements, and (iii) the analysis of time-series of dynamic observations. To that end, the paradigm-shifting signal processing and learning framework of Deep Learning will be utilized and extended through powerful mathematical tools and appropriate methodologies like supervised and generative learning, dramatically extending the current scope of single source data analysis. The developed framework will be employed for analyzing time-series of measurements from active and passive microwave and multispectral spaceborne imaging instruments (SMAP, SMOS and Sentinels), and in-situ sensor measurements, targeting the high-accuracy spatial and temporal resolution enhancement for observations and soil moisture estimation. The merits of the developed technology will be demonstrated in two intelligent water management case studies, namely optimized irrigation management and water pipeline leakage detection.

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The information about "CALCHAS" are provided by the European Opendata Portal: CORDIS opendata.

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