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Planning of commercial thinnings using machine learning and airborne Lidar data / Tauri Arumäe in Forests, vol 13 n° 2 (February 2022)  

Public [article]  inForests > vol 13 n° 2 (February 2022) . - n° 206 Titre : Planning of commercial thinnings using machine learning and airborne Lidar data Type de document : Article/Communication Auteurs : Tauri Arumäe, Auteur ; Mait Lang, Auteur ; Allan Sims, Auteur ; et al., Auteur Année de publication : 2022 Article en page(s) : n° 206 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie [Termes IGN] apprentissage automatique [Termes IGN] classification par forêts d'arbres décisionnels [Termes IGN] données lidar [Termes IGN] données localisées 3D [Termes IGN] éclaircie (sylviculture) [Termes IGN] Estonie [Termes IGN] gestion forestière [Termes IGN] inventaire forestier (techniques et méthodes) [Termes IGN] modèle linéaire [Termes IGN] planification [Termes IGN] semis de points Résumé : (auteur) The goal of this study was to predict the need for commercial thinning using airborne lidar data (ALS) with random forest (RF) machine learning algorithm. Two test sites (with areas of 14,750 km2 and 12,630 km2) were used with a total of 1053 forest stands from southwestern Estonia and 951 forest stands from southeastern Estonia. The thinnings were predicted based on the ALS measurements in 2019 and 2017. The two most important ALS metrics for predicting the need for thinning were the 95th height percentile and the canopy cover. The prediction accuracy based on validation stands was 93.5% for southwestern Estonia and 85.7% for southeastern Estonia. For comparison, the general linear model prediction accuracy was less for both test sites—92.1% for southwest and 81.8% for southeast. The selected important predictive ALS metrics differed from those used in the RF algorithm. The cross-validation of the thinning necessity models of southeastern and southwestern Estonia showed a dependence on geographic regions. Numéro de notice : A2022-122 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : 10.3390/f13020206 Date de publication en ligne : 29/01/2022 En ligne : https://doi.org/10.3390/f13020206 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99674 [article]

National implementation of the forest Europe indicators for sustainable forest management / Stefanie Linser in Forests, vol 13 n° 2 (February 2022)  

Public [article]  inForests > vol 13 n° 2 (February 2022) . - n° 191 Titre : National implementation of the forest Europe indicators for sustainable forest management Type de document : Article/Communication Auteurs : Stefanie Linser, Auteur ; Bernhard Wolfslehner, Auteur Année de publication : 2022 Article en page(s) : n° 191 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] Europe (géographie politique) [Termes IGN] gestion forestière durable [Termes IGN] indicateur de gestion forestière durable [Termes IGN] protection des forêts [Termes IGN] surveillance forestière [Vedettes matières IGN] Foresterie Résumé : (auteur) The development of criteria and indicators (C&I) to generate information about the status quo and measure changes in sustainable forest management (SFM) has become ever more important. Forest Europe has developed C&I as a policy instrument to monitor and report about SFM. Forest Europe signatories considered the definition of SFM and related C&I as the most recognized achievements of the process. The results of our survey verify this statement. C&I for SFM are implemented at the national level in half of the Forest Europe signatory countries. C&I have served as a structure and framework for the national derivations. Our results confirm the importance of C&I for monitoring and reporting on the status and trend of forests and forestry in Europe. However, Forest Europe has failed so far to go beyond description toward target-based assessments. This was originally not envisaged for the indicators but is increasingly requested by decision-makers and stakeholders. The future development of indicators for SFM should focus on their appropriateness for the assessment of objectives, goals, or targets, because the ability to monitor the respective national efforts has become a critical tool of international but also national governance. Numéro de notice : A2022-123 Affiliation des auteurs : non IGN Thématique : FORET Nature : Article DOI : 10.3390/f13020191 Date de publication en ligne : 26/01/2022 En ligne : https://doi.org/10.3390/f13020191 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99676 [article]