Quick search
Advanced search in
Research outcomes
Field to searchTerm
Add rule
The following results are related to Rural Digital Europe. Are you interested to view more results? Visit OpenAIRE - Explore.
Download Results
31 research outcomes, page 1 of 4
  • research data . 2022
    Closed Access English
    Authors:
    Silvia Maria Alfieri;
    Publisher: Zenodo
    Project: EC | OPERANDUM (776848)

    Surface features are produced as a result of internal deformation of active landslides, and are continuously created and destroyed by the movement. The detailed mapping of the evolution of bare ground patches and vegetation cover pattern over time provides useful insigh...

    Add to ORCIDorcid
  • research data . 2022
    Closed Access
    Authors:
    Alfieri, Silvia Maria;
    Publisher: Zenodo
    Project: EC | OPERANDUM (776848)

    In order to reduce the risk posed by flooding, areas of woody vegetation have been removed along the riverbank of Elbe river in order to expedite the inflow and outflow of water from the main channel, and thus contribute to flattening the peak hydrographic response. Mai...

    Add to ORCIDorcid
  • research data . 2021
    Closed Access English
    Authors:
    Jing Wei; Zhanqing Li;
    Publisher: Zenodo

    ChinaHighPM10 is one of the series of long-term, full-coverage, high-resolution, and high-quality datasets of ground-level air pollutants for China (i.e., ChinaHighAirPollutants, CHAP). It is generated from the big data (e.g., ground-based measurements, satellite remote...

    Add to ORCIDorcid
  • research data . 2021
    Closed Access
    Authors:
    Wei, Jing; Li, Zhanqing;
    Publisher: Zenodo

    ChinaHighPM2.5 is one of the series of long-term, full-coverage, high-resolution, and high-quality datasets of ground-level air pollutants for China (i.e., ChinaHighAirPollutants, CHAP). It is generated from the big data (e.g., ground-based measurements, satellite remot...

    Add to ORCIDorcid
  • research data . 2021
    Closed Access
    Authors:
    Jing Wei; Zhanqing Li;
    Persistent Identifiers
    Publisher: Zenodo

    ChinaHighPM1 is one of the series of long-term, full-coverage, high-resolution, and high-quality datasets of ground-level air pollutants for China (i.e., ChinaHighAirPollutants, CHAP). It is generated from big data (e.g., ground-based measurements, satellite remote sens...

    Add to ORCIDorcid
  • research data . 2021
    Closed Access
    Authors:
    Jing Wei; Zhanqing Li;
    Persistent Identifiers
    Publisher: Zenodo

    ChinaHighSO2 is one of the series of long-term, full-coverage, high-resolution, and high-quality datasets of ground-level air pollutants for China (i.e., ChinaHighAirPollutants, CHAP). It is generated from big data (e.g., ground-based measurements, satellite remote sens...

    Add to ORCIDorcid
  • research data . 2021
    Closed Access
    Authors:
    Jing Wei; Zhanqing Li;
    Persistent Identifiers
    Publisher: Zenodo

    ChinaHighPM2.5 is one of the series of long-term, full-coverage, high-resolution, and high-quality datasets of ground-level air pollutants for China (i.e., ChinaHighAirPollutants, CHAP). It is generated from big data (e.g., ground-based measurements, satellite remote se...

    Add to ORCIDorcid
  • research data . 2021
    Closed Access
    Authors:
    Jing Wei; Zhanqing Li;
    Persistent Identifiers
    Publisher: Zenodo

    ChinaHighPM10 is one of the series of long-term, full-coverage, high-resolution, and high-quality datasets of ground-level air pollutants for China (i.e., ChinaHighAirPollutants, CHAP). It is generated from big data (e.g., ground-based measurements, satellite remote sen...

    Add to ORCIDorcid
  • research data . 2021
    Closed Access
    Authors:
    Jing Wei; Zhanqing Li;
    Publisher: Zenodo

    ChinaHighPM10 is one of the series of long-term, full-coverage, high-resolution, and high-quality datasets of ground-level air pollutants for China (i.e., ChinaHighAirPollutants, CHAP). It is generated from the big data (e.g., ground-based measurements, satellite remote...

    Add to ORCIDorcid
  • research data . 2021
    Closed Access
    Authors:
    Jing Wei; Zhanqing Li;
    Persistent Identifiers
    Publisher: Zenodo

    ChinaHighNO2 is one of the series of long-term, full-coverage, high-resolution, and high-quality datasets of ground-level air pollutants for China (i.e., ChinaHighAirPollutants, CHAP). It is generated from big data (e.g., ground-based measurements, satellite remote sens...

    Add to ORCIDorcid
31 research outcomes, page 1 of 4