rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: E-TRAINEE: open E-learning course on time series analysis in remote sensing
  name:
    name part: Potůčková, Markéta
    role:
      role term: creator
    role:
      role term: VerfasserIn
    role:
      role term: aut
  name:
    name part: Albrechtová, Jana
    role:
      role term: VerfasserIn
    role:
      role term: aut
  name:
    name part: Anders, Katharina
    name part: 1990-
    role:
      role term: VerfasserIn
    role:
      role term: aut
  name:
    name part: Červená, Lucie
    role:
      role term: VerfasserIn
    role:
      role term: aut
  name:
    name part: Dvořák, Jakub
    role:
      role term: VerfasserIn
    role:
      role term: aut
  name:
    name part: Gryguc, Krzysztof
    role:
      role term: VerfasserIn
    role:
      role term: aut
  name:
    name part: Höfle, Bernhard
    role:
      role term: VerfasserIn
    role:
      role term: aut
  name:
    name part: Hunt, Lena
    role:
      role term: VerfasserIn
    role:
      role term: aut
  name:
    name part: Lhotáková, Zuzana
    role:
      role term: VerfasserIn
    role:
      role term: aut
  name:
    name part: Marcinkowska-Ochtyra, Adriana
    role:
      role term: VerfasserIn
    role:
      role term: aut
  name:
    name part: Mayr, Andreas
    role:
      role term: VerfasserIn
    role:
      role term: aut
  name:
    name part: Neuwirthová, Eva
    role:
      role term: VerfasserIn
    role:
      role term: aut
  name:
    name part: Ochtyra, Adrian
    role:
      role term: VerfasserIn
    role:
      role term: aut
  name:
    name part: Rutzinger, Martin
    role:
      role term: VerfasserIn
    role:
      role term: aut
  name:
    name part: Šedová, Adéla
    role:
      role term: VerfasserIn
    role:
      role term: aut
  name:
    name part: Šrollerů, Alex
    role:
      role term: VerfasserIn
    role:
      role term: aut
  name:
    name part: Kupková, Lucie
    role:
      role term: VerfasserIn
    role:
      role term: aut
  type of resource: text
  origin info:
    place:
      place term: xx
    date issued: 2023
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 8
  abstract: Time series (TS) analysis has always been an important topic in Remote Sensing (RS). Open access to archives of Earth Observation missions, periodically acquired nation-wide aerial imagery and LiDAR point clouds, and various research datasets, together with open tools for TS data processing, have brought new possibilities in RS research but also challenges in education. The topic of TS analysis in RS has become an essential part of MSc curricula in geoinformatics, geography, and related fields. Open learning materials systematically addressing the issue of TS at the master's level are rare and their development is time and resource demanding. Thus, based on previous collaboration, the four research groups from Charles University, Heidelberg University, University of Innsbruck, and University of Warsaw joint their specific expertise and developed an open E-learning course on Time Series Analysis in RS for Understanding Human-Environment Interactions (E-TRAINEE). The course consists of four Modules covering the topics of TS from general approaches (M1) to specific methods of processing TS of satellite multispectral images (M2), 3D/4D point clouds (M3), and aerial image and laboratory spectroscopy (M4). Theoretical parts are supported with exercises/tutorials and case studies based on research activities of the involved teams. The course is accessible via a web site and is published under the CC-BY SA 4.0 license. The primary target group are MSc and PhD students of geoinformatics and geography, but it is also relevant to students of environmental studies, ecology, or geology, as well as potential users from the public and private sectors dealing with applications of RS.
  note: Markéta Potůčková, Jana Albrechtová, Katharina Anders, Lucie Červená, Jakub Dvořák, Krzysztof Gryguc, Bernhard Höfle, Lena Hunt, Zuzana Lhotáková, Adriana Marcinkowska-Ochtyra, Andreas Mayr, Eva Neuwirthová, Adrian Ochtyra, Martin Rutzinger4, Adéla Šedová, Alex Šrollerů, Lucie Kupková
  note: Gesehen am 11.04.2024
  subject:
    topic: 3D point cloud
  subject:
    topic: E-learning
  subject:
    topic: Image spectroscopy
  subject:
    topic: Laboratory spectroscopy
  subject:
    topic: Multispectral imagery
  subject:
    topic: Open educational resources
  subject:
    topic: Remote sensing
  subject:
    topic: Time series analysis
  classification: 61
  related item:
    title info:
      title: ISPRS Geospatial Week 2023
    name:
      name part: ISPRS Geospatial Week (2023 : Kairo)
    origin info:
      publisher: Hannover : ISPRS, 2023
    physical description:
      extent: 1 Online-Ressource
    identifier: (DE-627)1885642547
    part:
      text: (2023), Seite 989-996
  related item:
    name:
      name part: E-TRAINEE: open E-learning course on time series analysis in remote sensing
    part:
      text: year:2023
    part:
      text: pages:989-996
    part:
      text: extent:8
  identifier: https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-989-2023
  identifier: https://isprs-archives.copernicus.org/articles/XLVIII-1-W2-2023/989/2023/
  record info:
    record content source: DE-627
    record creation date: 240411
    record change date: 20240703164150.0
    record identifier: 1885643284
    language of cataloging:
      language term: ger