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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.

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

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

 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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