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EGU 2024: Session GI6.1 Remote sensing for environmental monitoring

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00025798%3A_____%2F24%3A10169470" target="_blank" >RIV/00025798:_____/24:10169470 - isvavai.cz</a>

  • Result on the web

    <a href="https://meetingorganizer.copernicus.org/EGU24/session/50609" target="_blank" >https://meetingorganizer.copernicus.org/EGU24/session/50609</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    EGU 2024: Session GI6.1 Remote sensing for environmental monitoring

  • Original language description

    Remote sensing measurements, acquired using different platforms - ground, UAV, aircraft and satellite - have increasingly become rapidly developing technologies to study and monitor Earth surface, to perform comprehensive analysis and modeling, with the final goal of supporting decision systems for ecosystem management. The spectral, spatial and temporal resolutions of remote sensors have been continuously improving, making environmental remote sensing more accurate and comprehensive than ever before. Such progress enables understanding multiscale aspects of high-risk natural phenomena and development of multi-platform and inter-disciplinary surveillance monitoring tools. The session welcomes contributions focusing on present and future perspectives in environmental remote sensing, from multispectral/hyperspectral optical and thermal sensors. Applications are encouraged to cover, but not limited to, the monitoring and characterization of environmental changes and natural hazards from volcanic and seismic processes, landslides, and soil science. Specifically, we are looking for novel solutions and approaches including the topics as follows: (i) state-of-the-art techniques focusing on novel quantitative methods; (ii) new applications for state-of-the-art sensors, including UAVs and other close-range systems; (iii) techniques for multiplatform data fusion.

  • Czech name

  • Czech description

Classification

  • Type

    M - Conference organization

  • CEP classification

  • OECD FORD branch

    10511 - Environmental sciences (social aspects to be 5.7)

Result continuities

  • Project

  • Continuities

    R - Projekt Ramcoveho programu EK

Others

  • Publication year

    2024

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Event location

    Vienna

  • Event country

    AT - AUSTRIA

  • Event starting date

  • Event ending date

  • Total number of attendees

    200

  • Foreign attendee count

    200

  • Type of event by attendee nationality

    WRD - Celosvětová akce