NEWFOR (NEW technologies for a better mountain FORest timber mobilization) is a research project funded by the alpine space programme. It brings together 14 institutes of the 6 countries of the alpine space with the aim of improving forest timber evaluation and mobilisation. The project considers the whole wood supply chain, from forests to wood yards, with a particular emphasis on new remote sensing technologies and geographical information systems. The project has begun in september 2011 for a 3 years duration.
This article shows that the methodologies tested in the Newfor project for forest resource mapping also have wider applications in mountain management, e.g. natural risks. Monnet, J.-M., Bourrier, F., Dupire, S., Berger, F. 2016. Suitability of airborne laser scanning for the assessment of forest protection effect against rockfall. Landslides. PDF DOI 10.1007/s10346-016-0687-5 Rockfall simulation models …View full post
Volumes 211-212 of the French Journal of Photogrammetry and Remote Sensing (Revue Française de Photogrammétrie et Télédétection) are dedicated to forests. Results of the Newfor projects were presented in two articles : Monnet, J.-M., Chirouze, É., Mermin, É. 2015. Estimation de paramètres forestiers par données LiDAR aéroporté et imagerie satellitaire RapidEye – Étude de sensibilité. …View full post
Sylvaccess : automated mapping of forest accessibility – (un modèle pour cartographier automatiquement l’accessibilité des forêts)
A french publication presents the automated tool Sylvaccessfor forest accessibility mapping, developped during the Newfor project. This tool is available in open-source. Dupire, Sylvain ; Bourrier, Franck ; Monnet, Jean-Matthieu ; Frédéric Berger 2015 – Sylvaccess : un modèle pour cartographier automatiquement l’accessibilité des forêts. – Revue Forestière Française, 2015, 70, 2, pp. 111-126. http://dx.doi.org/10.4267/2042/57902 …View full post
Silvilaser is THE conference of the research community on Lidar and Forest Ecosystems. The 2015 edition was held in La Grande Motte, France on Sept. 28-30. Newfor researchers presented some of their results there : Eysn, L., Monnet J.-M. & Hollaus, M., 2015. A benchmark of single tree detection methods using data from alpine forests. …View full post
This article on single tree detection benchmarking is a great example of the collaboration between project partners in order to compare methods and propose solutions for a better forest management. The corresponding dataset was made public in order to enhance possibilities of comparison and future improvements. Eysn, L.; Hollaus, M.; Lindberg, E.; Berger, F.; Monnet, …View full post