A new citizen science application has been launched to identify potential areas of windblown conifer trees following the devastating impact of Storm Arwen.
Forest Research is working with Confor, the Forestry Commission and Scottish Forestry to fully assess the impact the storm has had on the nation’s forests and woodlands.
Earth observation data has been used by Forest Research to identify potential areas of windblown conifer trees across England and Scotland using a novel machine learning algorithm. The project partners are today launching a citizen science application for foresters, land-owners land managers to view, validate and add to this data. This will help us understand what is required to clear up the damaged trees and help improve future versions of the data algorithm to aid in the response to future storm events.
We invite submissions via the dedicated citizen science portal or an offline capable mobile application in the field, with a closing date of 23rd January 2022.
Only professionals who have considered the risks involved with windblow should attempt to map it in the field.
Please visit the website: https://windblow-assessment-forestergis.hub.arcgis.com/
Photo credit: Hamish Oliphant
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Detection dogs have been used in the UK for the first time to successfully identify tree disease, helping track down the deadly tree pathogen Phytophthora ramorum.
Forest Research, in partnership with the University of Reading, have created a tree species guide that identifies 33 species of trees and shrubs suitable for planting on agricultural land.
Help shape the future of the Climate Change Hub by sharing your feedback through a survey or focus group.