Upcoming Events

  • GoToWebinar - Introductory Webinar: NASA Earth Observations for Energy Management (Session A)

    22. June 2021  16:00 - 17:30
    GoToWebinar - Lesen Sie die folgenden Telefonkonferenzinformationen

    1. Klicken Sie und nehmen Sie am festgelegten Termin teil:
    https://global.gotowebinar.com/join/3603672864074412559/557535536
    Bitte beachten Sie: Dieser Link ist ausschließlich für Sie bestimmt und sollte an niemand anderen weitergegeben werden.

    Energy impacts everything we do, from providing basic services such as cooking and cleaning to providing development opportunities and improving overall quality of life. However, energy management, through energy production, transmission, and distribution, is impacted by environmental and climate conditions, including weather patterns or extremes and climate change. Energy providers are turning to cleaner and renewable energy sources, as well as assessing and implementing actions to make their energy management activities more resilient to environmental hazards. Decision-makers need to better understand where energy resources exist and how they are impacted by physical environmental conditions, weather, and climate.

    This training will offer participants an introduction to how NASA EOs can contribute to a greater understanding of energy management applications. The course will summarize priorities and challenges for energy management and how various NASA EOs can support decision-making. Attendees will gain familiarity with a broad set of relevant NASA datasets, tools, platforms, and resources, as well as hear about case studies and real-world applications related to climate resilience, energy efficiency, and renewable energy.

    AUDIENCE: Energy management professionals and decision makers from local government, state agencies, the private sector, or other stakeholders (e.g. electric utilities).

    COURSE FORMAT: Four, one and one half hour sessions. The same session will be offered at two different times on each day of the training. Participants who attend all four live sessions and complete the homework will receive a certificate of attendance within 3 months. Recordings of each training session will be posted within 48 hours after the session. Presentation slides, homework, and other materials will appear underneath each session description as they are made available.

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  • GoToWebinar - Intermediate Webinar: Using Google Earth Engine for Land Monitoring Applications

    23. June 2021  18:00 - 20:00
    GoToWebinar - Lesen Sie die folgenden Telefonkonferenzinformationen

    1. Klicken Sie und nehmen Sie am festgelegten Termin teil:
    https://global.gotowebinar.com/join/2103876331999041805/568083612
    Bitte beachten Sie: Dieser Link ist ausschließlich für Sie bestimmt und sollte an niemand anderen weitergegeben werden.

    Google Earth Engine (GEE) for remote sensing applications is quickly becoming one of the most utilized tools in the scientific and decision-making community. GEE provides unparalleled access to large-scale data analysis through cloud computing technology. The online interface allows users to access and analyze stores of NASA Earth data without the need for any locally stored data or software. This training will cover the GEE Code Editor, hands-on exercises on change detection, time series analysis, land cover classification, and accuracy assessment of optical imagery. These processes are an integral part of optical imagery analysis for many applications, including monitoring forest disturbance, wildfire mapping, identifying land cover degradation, mapping ecosystem connectivity, and identification of land surface changes due to urban growth. Attendees will be provided scripts for conducting these analyses in GEE and instructed on how to execute these scripts to produce maps and visualizations of environmental data.

    OBJECTIVE - By the end of this training, attendees will be able to:
    - Navigate the GEE interface to explore remote sensing datasets relevant to land monitoring
    - Execute JavaScript commands to retrieve satellite data and process imagery for analysis
    - Complete a supervised land classification along with an accuracy assessment in GEE
    - Apply algorithms to derive a time series of environmental parameters and calculate differences between years to detect landscape changes
    - Illustrate the capabilities of cloud-based raster computing for land management applications

    AUDIENCE: Local, regional, state, federal, and non-governmental organizations involved in land management, conservation, biodiversity, and forest monitoring.

    COURSE FORMAT: Three, two-hour sessions. Those who attend all three live training sessions and complete the homework will be awarded a certificate of completion

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  • NASA LCLUC Central Asia Webinar Series #7

    24. June 2021  17:00 - 18:00

    http://events.r20.constantcontact.com/register/event?llr=ftihm6rab&oeidk=a07ei1mtpipb1121306

    This session will feature Dr Xin Xi (Michigan Technological University) presenting "Mapping and modeling desertification and its impact on aeolian dust and human health in Central Asia."

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  • GoToWebinar - Intermediate Webinar: Using Google Earth Engine for Land Monitoring Applications

    30. June 2021  18:00 - 20:00
    GoToWebinar - Lesen Sie die folgenden Telefonkonferenzinformationen

    1. Klicken Sie und nehmen Sie am festgelegten Termin teil:
    https://global.gotowebinar.com/join/2103876331999041805/568083612
    Bitte beachten Sie: Dieser Link ist ausschließlich für Sie bestimmt und sollte an niemand anderen weitergegeben werden.

    Google Earth Engine (GEE) for remote sensing applications is quickly becoming one of the most utilized tools in the scientific and decision-making community. GEE provides unparalleled access to large-scale data analysis through cloud computing technology. The online interface allows users to access and analyze stores of NASA Earth data without the need for any locally stored data or software. This training will cover the GEE Code Editor, hands-on exercises on change detection, time series analysis, land cover classification, and accuracy assessment of optical imagery. These processes are an integral part of optical imagery analysis for many applications, including monitoring forest disturbance, wildfire mapping, identifying land cover degradation, mapping ecosystem connectivity, and identification of land surface changes due to urban growth. Attendees will be provided scripts for conducting these analyses in GEE and instructed on how to execute these scripts to produce maps and visualizations of environmental data.

    OBJECTIVE - By the end of this training, attendees will be able to:
    - Navigate the GEE interface to explore remote sensing datasets relevant to land monitoring
    - Execute JavaScript commands to retrieve satellite data and process imagery for analysis
    - Complete a supervised land classification along with an accuracy assessment in GEE
    - Apply algorithms to derive a time series of environmental parameters and calculate differences between years to detect landscape changes
    - Illustrate the capabilities of cloud-based raster computing for land management applications

    AUDIENCE: Local, regional, state, federal, and non-governmental organizations involved in land management, conservation, biodiversity, and forest monitoring.

    COURSE FORMAT: Three, two-hour sessions. Those who attend all three live training sessions and complete the homework will be awarded a certificate of completion

    See more details

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