![]() ![]() ![]() This project seeks to extend the ‘Forestry for non-Foresters – Management Plans and Practices’ workshops to two new regions. Project title: Successful Woodland Management Plans and Forest Practices The project will also support the development of farm woodland and agroforestry outcome indicators and measures for the Soil Association Exchange (SAX) platform a farmer-facing sustainability assessment, improvement, and reward approach. The current myForest tool operated by Sylva Foundation will be developed as a prototype to allow better mapping and planning of the wider tree resources on-farm, such as hedgerows and agroforestry features. ![]() Using this entry point to farmer engagement around woodland management and trees on-farm, is a key innovation that the project will be testing. This project will develop and test a ‘Whole Farm Tree Plan’ (WFTP) that enables farmers to better understand the benefits of woodland and trees as part of their farm enterprise. The aim is to aid the management and development of woodlands and their natural assets. The evidence gathered will, in turn, enable greater investments through benchmarking, monitoring, and the measurement of a wider range of data sets, with more accuracy, depth, and regularity. This project will blend these remote sensing techniques to provide more detailed and informative data for woodland managers, auditors, blended finance, and regulators. The use of satellites, crewed planes, Drones, LiDAR, Multispectral, thermal detection, machine learning and artificial intelligence are used in sister sectors but only partially in forestry and ecosystems management. This project connects the space, forestry, and technology sectors to trial remote sensing techniques to observe and verify woodland assets/threats including carbon, timber, biodiversity, pests, and disease.Ĭurrent auditing of new and existing woodlands and associated habitats including the assets they yield, for example carbon, timber, and biodiversity, are largely monitored through ‘boots on the ground’ techniques. ![]()
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