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Mapping dead forest cover using a deep convolutional neural network and digital aerial photography / Jean-Daniel Sylvain in ISPRS Journal of photogrammetry and remote sensing, vol 156 (October 2019)
Titre : Mapping dead forest cover using a deep convolutional neural network and digital aerial photography Type de document : Article/Communication Auteurs : Jean-Daniel Sylvain, Auteur ; Guillaume Drolet, Auteur ; Nicolas Brown, Auteur Année de publication : 2019 Article en page(s) : pp 14 - 26 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes descripteurs IGN] apprentissage profond
[Termes descripteurs IGN] arbre mort
[Termes descripteurs IGN] base de données forestières
[Termes descripteurs IGN] classification par réseau neuronal convolutif
[Termes descripteurs IGN] couvert forestier
[Termes descripteurs IGN] feuillu
[Termes descripteurs IGN] forêt boréale
[Termes descripteurs IGN] image aérienne
[Termes descripteurs IGN] orthoimage
[Termes descripteurs IGN] peuplement mélangé
[Termes descripteurs IGN] pinophyta
[Termes descripteurs IGN] Québec (Canada)
[Termes descripteurs IGN] santé des forêtsRésumé : (Auteur) Tree mortality is an important forest ecosystem variable having uses in many applications such as forest health assessment, modelling stand dynamics and productivity, or planning wood harvesting operations. Because tree mortality is a spatially and temporally erratic process, rates and spatial patterns of tree mortality are difficult to estimate with traditional inventory methods. Remote sensing imagery has the potential to detect tree mortality at spatial scales required for accurately characterizing this process (e.g., landscape, region). Many efforts have been made in this sense, mostly using pixel- or object-based methods. In this study, we explored the potential of deep Convolutional Neural Networks (CNNs) to detect and map tree health status and functional type over entire regions. To do this, we built a database of around 290,000 photo-interpreted trees that served to extract and label image windows from 20 cm-resolution digital aerial images, for use in CNN training and evaluation. In this process, we also evaluated the effect of window size and spectral channel selection on classification accuracy, and we assessed if multiple realizations of a CNN, generated using different weight initializations, can be aggregated to provide more robust predictions. Finally, we extended our model with 5 additional classes to account for the diversity of landcovers found in our study area. When predicting tree health status only (live or dead), we obtained test accuracies of up to 94%, and up to 86% when predicting functional type only (broadleaf or needleleaf). Channel selection had a limited impact on overall classification accuracy, while window size increased the ability of the CNNs to predict plant functional type. The aggregation of multiple realizations of a CNN allowed us to avoid the selection of suboptimal models and help to remove much of the speckle effect when predicting on new aerial images. Test accuracies of plant functional type and health status were not affected in the extended model and were all above 95% for the 5 extra classes. Our results demonstrate the robustness of the CNN for between-scene variations in aerial photography and also suggest that this approach can be applied at operational level to map tree mortality across extensive territories. Numéro de notice : A2019-316 Thématique : FORET/IMAGERIE Nature : Article DOI : 10.1016/j.isprsjprs.2019.07.010 date de publication en ligne : 02/08/2019 En ligne : https://doi.org/10.1016/j.isprsjprs.2019.07.010 Format de la ressource électronique : URL Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=93353
in ISPRS Journal of photogrammetry and remote sensing > vol 156 (October 2019) . - pp 14 - 26[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-2019101 SL Revue Centre de documentation Revues en salle Disponible 081-2019103 DEP-RECP Revue MATIS Dépôt en unité Exclu du prêt 081-2019102 DEP-RECF Revue Nancy Dépôt en unité Exclu du prêt 
Titre : GIS Coop: networks of silvicultural trials for supporting forest management under changing environment Titre original : Review Paper Type de document : Article/Communication Auteurs : Ingrid Seynave, Auteur ; Alain Bailly, Auteur ; Philippe Balandier, Auteur ; Jean-Daniel Bontemps Année de publication : 2018 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Végétation
[Termes descripteurs IGN] Abies alba
[Termes descripteurs IGN] auto-éclaircie
[Termes descripteurs IGN] base de données forestières
[Termes descripteurs IGN] données écologiques
[Termes descripteurs IGN] essai
[Termes descripteurs IGN] facteur édaphique
[Termes descripteurs IGN] France (administrative)
[Termes descripteurs IGN] gestion forestière
[Termes descripteurs IGN] modélisation de la forêt
[Termes descripteurs IGN] Pinus nigra
[Termes descripteurs IGN] Pinus pinaster
[Termes descripteurs IGN] pseudotsuga menziesii
[Termes descripteurs IGN] quercus pedunculata
[Termes descripteurs IGN] quercus sessiliflora
[Termes descripteurs IGN] SIG participatifRésumé : (Auteur) Key message: The diversity of forest management systems and the contrasted competition level treatments applied make the experimental networks of the GIS Coop, a nationwide testing program in the field of emerging forestry topics within the framework of the ongoing global changes.
Context: To understand the dynamics of forest management systems and build adapted growth models for new forestry practices, long-term experiment networks remain more crucial than ever.
Aims: Two principles are at the basis of the experimental design of the networks of the Scientific Interest Group Cooperative for data on forest tree and stand growth (GIS Coop): contrasted and extreme silvicultural treatments in diverse pedoclimatic contexts.
Methods: Various forest management systems are under study: regular and even-aged stands of Douglas fir, sessile and pedunculate oaks, Maritime and Laricio pines, mixed stands of sessile oak, European silver fir, and Douglas fir combined with other species. Highly contrasted stand density regimes, from open growth to self-thinning, are formalized quantitatively.
Results: One hundred and eighty-five sites representing a total of 1206 plots have been set up in the last 20 years, where trees are measured regularly (every 3 to 10 years). The major outputs of these networks for research and management are the calibration/validation of growth and yield models and the drawing up of forest management guides
Conclusion: The GIS Coop adapts its networks so that they can contribute to develop growth models that explicitly integrate pedoclimatic factors and thus also contribute to research on the sustainability of ecosystems under environmental and socio-economic changes.Numéro de notice : A2018-325 Thématique : FORET Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1007/s13595-018-0692-z date de publication en ligne : 09/04/2018 En ligne : https://doi.org/10.1007/s13595-018-0692-z Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=90468
in Annals of Forest Science [en ligne] > vol 75 n° 2 (June 2018)[article]Documents numériques
en open access
GIS Coop networks... - pdf éditeurAdobe Acrobat PDF
Titre : Within- and between-tree variation of wood density components in Pinus nigra at six sites in Portugal Type de document : Article/Communication Auteurs : Alexandra Dias, Auteur ; Maria João Gaspar, Auteur ; Ana Carvalho, Auteur ; Jani Pires, Auteur ; et al., Auteur Année de publication : 2018 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Végétation
[Termes descripteurs IGN] analyse de variance
[Termes descripteurs IGN] base de données forestières
[Termes descripteurs IGN] bois adulte
[Termes descripteurs IGN] bois de jeunesse
[Termes descripteurs IGN] croissance végétale
[Termes descripteurs IGN] densité du bois
[Termes descripteurs IGN] forêt alpestre
[Termes descripteurs IGN] hétérogénéité environnementale
[Termes descripteurs IGN] microdensitométrie
[Termes descripteurs IGN] Pinus nigra
[Termes descripteurs IGN] Portugal
[Termes descripteurs IGN] résineuxRésumé : (Auteur) Key message: In Europe, P. nigra wood presents a density pattern of longitudinal variation with an increase from east to west. However, no latitudinal tendencies were detected. Compared to other Portuguese resinous species, P. nigra revealed higher density, identical radial growth and intra-ring heterogeneity, which presents advantages for industry purposes. The environmental factors (Sites effect) manifest more strongly in the latewood components while the Trees/Sites effect is more strongly expressed in the earlywood components.
Context: Although P. nigra Arnold is one of the most important conifers in Europe, little is known about the wood’s characteristics in the southwest European region.
Aims: Our aims are to outline a first approach to study the growth and wood quality in P. nigra in Portugal comparing to other European natural stands and other resinous species.
Methods: Inter- and intra-wood density variation of P. nigra from six Portuguese sites was studied using microdensitometry. Analysis of variance (ANOVA) was performed in three subsets: 50 common rings, core (juvenile wood) and peripheral analysis (mature wood).
Results: The average ring density was 0.588 g cm−3, with maximum values in the north and low altitudes. Regarding growth traits, no latitudinal and altitudinal tendencies were detected. Compared to the main timber species in Portugal (P. pinaster Aiton), P. nigra showed similar radial growth, higher density but lower intra-ring density homogeneity. The Sites effect mainly influenced latewood density components, while the Trees/Sites effect primarily influenced earlywood components. The Rings effect was found to be relatively low, with a density decrease in the tree’s first years followed by an increase in the periphery. Growth traits showed a reduction from pith to bark.
Conclusion: Considering the quality (density) and growth features of the Black pine, this species could be useful for the reforestation of mountainous Southern Europe areas that are not favourable for other species.Numéro de notice : A2018-321 Thématique : FORET Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1007/s13595-018-0734-6 date de publication en ligne : 08/05/2018 En ligne : https://doi.org/10.1007/s13595-018-0734-6 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=90462
in Annals of Forest Science [en ligne] > vol 75 n° 2 (June 2018)[article]
Titre : Optimizing the bioindication of forest soil acidity, nitrogen and mineral nutrition using plant species Type de document : Article/Communication Auteurs : Paulina E. Pinto, Auteur ; Jean-Luc Dupouey, Auteur ; Jean-Christophe Hervé Année de publication : 2016 Article en page(s) : pp 359 - 367 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes descripteurs IGN] base de données forestières
[Termes descripteurs IGN] fertilité
[Termes descripteurs IGN] humidité du sol
[Termes descripteurs IGN] indicateur biologique
[Termes descripteurs IGN] inventaire de la végétation
[Termes descripteurs IGN] placette d'échantillonnage
[Termes descripteurs IGN] qualité du sol
[Termes descripteurs IGN] sol acide
[Termes descripteurs IGN] teneur en azote
[Vedettes matières IGN] Inventaire forestierRésumé : (auteur) Soil moisture and nutritional characteristics are frequently assessed using plant species and community bioindication, e.g., the Ellenberg system of species indicator values. This method, based on complete inventories of plant species present in plots, is time-consuming, which could prevent its general use for forest or other natural land management. Our aim was to determine the impact of a reduction in the time spent to carry out a floristic inventory on the quality of soil characteristic assessment using plant bioindication. We compared the measurements of soil pH-H2O (pH), organic carbon to total nitrogen ratio (C:N) and base saturation (BS) in the 0–5 cm soil layer of 470 plots with the same variables estimated from floristic inventories of increasing duration, using plant indicator values (IV) from the EcoPlant database. The performance of predictions was evaluated by the square of the linear correlation coefficient between measured and predicted values (R2) and the root mean square error (RMSE) of predictions.
The number rather than the percentage of total plot species used for the estimations was determinant for the prediction of soil pH quality. Performance of bioindication of pH, BS and C:N reached the maximum R2 using the first 20–25 species recorded per plot, corresponding to a 14-min-long floristic inventory in comparison to a mean of 28 min spent to carry out a complete floristic inventory. A precision of prediction of 80% of the maximal precision was obtained after 4–5 min (6–12 inventoried species) for the three studied variables. These results are independent of the nutritional capability of the soils and were similar at the national and local scales. In order to estimate soil nutritional resources by plant bioindication, it is feasible to significantly reduce the time spent on floristic inventories and, thus, their cost. This is especially useful when the goal is to map the soil quality for decision-making in forest management.Numéro de notice : A2016--084 Thématique : FORET Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.ecolind.2016.05.047 date de publication en ligne : 25/07/2016 En ligne : http://doi.org/10.1016/j.ecolind.2016.05.047 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=84562
in Ecological indicators > vol 71 (December 2016) . - pp 359 - 367[article]Corylus : influence de la composition et de la structure des masses forestières sur la biodiversité / Jean-Luc Dupouey (2010)
Titre : Corylus : influence de la composition et de la structure des masses forestières sur la biodiversité Type de document : Chapitre/Contribution Auteurs : Jean-Luc Dupouey, Auteur ; Laurent Bergès, Auteur Editeur : Paris [France] : GIP Ecofor Année de publication : 2010 Importance : pp 89 - 108 Note générale : Bibliographie Langues : Français (fre) Descripteur : [Vedettes matières IGN] Végétation
[Termes descripteurs IGN] base de données forestières
[Termes descripteurs IGN] biodiversité
[Termes descripteurs IGN] conservation des ressources naturelles
[Termes descripteurs IGN] écotone
[Termes descripteurs IGN] gestion forestière durable
[Termes descripteurs IGN] histoire
[Termes descripteurs IGN] inventaire forestier national (données France)
[Termes descripteurs IGN] oiseau
[Termes descripteurs IGN] paysageNuméro de notice : H2010-012 Thématique : BIODIVERSITE/FORET Nature : Chapître / contribution Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=67121 Estimation of local forest attributes, utilizing two-phase sampling and auxiliary data / Sakari Tuominen (2007)
PermalinkPermalink3 - Avril 2003 - Where to find forest data (Bulletin de MCPFE Paper)
PermalinkSciences de l'Information Géographique, compte-rendu du voyage d'études Québec et état de Washington (USA), sept.-oct. 1993 / Patrick Falcone (1993)
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