3 datasets found
  1. a

    Air Quality Canada 2019

    • edu.hub.arcgis.com
    Updated Dec 6, 2023
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    Education and Research (2023). Air Quality Canada 2019 [Dataset]. https://edu.hub.arcgis.com/maps/edu::air-quality-canada-2019
    Explore at:
    Dataset updated
    Dec 6, 2023
    Dataset authored and provided by
    Education and Research
    License

    Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
    License information was derived automatically

    Area covered
    Description

    Compiled for use with draft versions of the "Introduction to ArcGIS Experience Builder (Developer Edition)" tutorial by Esri Canada Education and Research, provided at guest workshops and to 2025 ECCE App Challenge participants

  2. a

    AmeriGEO Week 2022

    • 2022amerigeoweek.amerigeo.org
    Updated Jun 3, 2022
    + more versions
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    AmeriGEOSS (2022). AmeriGEO Week 2022 [Dataset]. https://2022amerigeoweek.amerigeo.org/datasets/amerigeo-week-2022
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    Dataset updated
    Jun 3, 2022
    Dataset authored and provided by
    AmeriGEOSS
    Description

    This experience builder supports the AmeriGEO Week 2022. DO NOT MODIFY WITHOUT FIRST CONTACTING THE DEVELOPER OF THIS RESOURCE.

  3. c

    Tashkent Greenery Map (Карта древесной растительности Ташкента)

    • cacgeoportal.com
    Updated May 8, 2025
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    Central Asia and the Caucasus GeoPortal (2025). Tashkent Greenery Map (Карта древесной растительности Ташкента) [Dataset]. https://www.cacgeoportal.com/items/f8e6cc9f6c174c6b86f9f7f417dae1dd
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    Dataset updated
    May 8, 2025
    Dataset authored and provided by
    Central Asia and the Caucasus GeoPortal
    Area covered
    Ташкент
    Description

    The web application enables real-time assessment of the area of Tashkent city covered by vegetation and buildings within a customizable buffer zone. The application was developed using ArcGIS Experience Builder Developer Edition. Tree vegetation classification was carried out using remote sensing data and Deep Learning technologies. A more detailed description of the classification process can be found in the article on our blog: https://blogs.esri-cis.com/2025/04/18/landcover-classification/Веб приложение позволяет в режиме реального времени оценить площадь города Ташкент покрытую растительностью и строениями в пределах настраиваемой буферной зоны.Приложение разработано в ArcGIS Experience Builder Версия для разработчиков.Классификация древесной растительности проводилась с помощью данных дистанционного зондирования и технологий Deep Learning. С более подробным описанием процесса классификации можно ознакомиться в статье в нашем блоге:https://blogs.esri-cis.com/2025/04/18/landcover-classification/

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Share
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Click to copy link
Link copied
Close
Cite
Education and Research (2023). Air Quality Canada 2019 [Dataset]. https://edu.hub.arcgis.com/maps/edu::air-quality-canada-2019

Air Quality Canada 2019

Explore at:
Dataset updated
Dec 6, 2023
Dataset authored and provided by
Education and Research
License

Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
License information was derived automatically

Area covered
Description

Compiled for use with draft versions of the "Introduction to ArcGIS Experience Builder (Developer Edition)" tutorial by Esri Canada Education and Research, provided at guest workshops and to 2025 ECCE App Challenge participants

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