Registration Deadline: Migrating to ArcGIS Pro for Foresters: Basic Short Course (Late Fall 2025)

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Registration remains open through November 4, 2025 at 11:59pm ET or until class capacity is full at 50 registrants.

Related upcoming events

  • 12/17/2025 1:00 PM - 12/17/2025 2:00 PM

    The webinar will be live on Wednesday, December 17 at 1:00 pm ET. 

    It will be recorded, and its recording will be accessible for a year following air date. Access will close after December 17, 2026.

  • 12/31/2025 All day

    Course access 

    Course access will remain open through December 31, 2025 at 11:59 pm ET unless notified otherwise. 

  • 01/06/2026 10:58 AM - 01/06/2026 10:58 AM

    Come check out the newly remastered Migrating to ArcGIS Pro for Foresters Short Course, now open for registration. This course has been updated for the most recent version of ArcGIS Pro with enhanced audio and video components to ensure the best learning experience. Make the shift from ArcMap to ArcGIS Pro today with this course provided by LandMark Spatial Solutions. 

    Registration open through January 12, 2026 // Access opens January 6, 2026 // Course ends March 1, 2026

  • 01/12/2026 All day

    Come check out the newly remastered Migrating to ArcGIS Pro for Foresters Short Course, now open for registration. This course has been updated for the most recent version of ArcGIS Pro with enhanced audio and video components to ensure the best learning experience. Make the shift from ArcMap to ArcGIS Pro today with this course provided by LandMark Spatial Solutions. 

    Registration open through January 12, 2026 // Access opens January 6, 2026 // Course ends March 1, 2026

  • 10/31/2026 All day

    Submission deadline: Saturday, 31 October 2026

    This special collection jointly hosted by the American Geophysical Union (AGU) and the Ecological Society of America (ESA) focuses on the emerging field of ecological forecasting, which involves predicting the future states of ecosystems. The issue welcomes contributions that use novel methodologies, interdisciplinary approaches, real-time data integration, and multi-forecast synthesis to enhance the accuracy, uncertainty representation, applicability, and equality of ecological forecasts.