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Effects of different site preparation methods on the root development of planted Quercus petraea and Pinus nigra / Mathieu Dassot in New forests, vol 52 n° 1 (January 2021)
[article]
Titre : Effects of different site preparation methods on the root development of planted Quercus petraea and Pinus nigra Type de document : Article/Communication Auteurs : Mathieu Dassot , Auteur ; Catherine Collet, Auteur Année de publication : 2021 Article en page(s) : pp 17 - 30 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] phytobiologie
[Termes IGN] Pinus nigra
[Termes IGN] plantation forestière
[Termes IGN] Quercus sessiliflora
[Termes IGN] système radiculaire
[Vedettes matières IGN] BotaniqueRésumé : (auteur) Mechanical site preparation (MSP) is often performed prior to planting to improve the growth and survival of planted seedlings. In this study, we compared root development of 5-years-old Quercus petraea and Pinus nigra seedlings planted in plots that had been prepared with different methods, i.e. deep scarification, deep scarification combined with mounding-subsoiling, herbicide and a control without preparation. Seventy-two trees were excavated (36 per species) and their root system was measured by recording points in a three-dimensional space along their roots. The variation of the number of roots with depth and distance to root collar was assessed and analysed, as well as the root projection area. Our results showed that root development was better in the plots with mechanical preparation, for both Q. petraea and P. nigra, when compared to the control. Combining mounding to subsoiling made the roots extending deeper, especially for Q. petraea. A strong relationship was found between root projection area and root collar diameter, indicating the primary effect of lateral root spread on tree growth. The herbicide treatment induced the highest root growth, which raised questions about the potential negative effects of changes in soil properties caused by MSP methods. Numéro de notice : A2021-965 Affiliation des auteurs : non IGN Thématique : FORET Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1007/s11056-020-09781-7 En ligne : http://dx.doi.org/10.1007/s11056-020-09781-7 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=101352
in New forests > vol 52 n° 1 (January 2021) . - pp 17 - 30[article]Ensemble learning methods on the space of covariance matrices : application to remote sensing scene and multivariate time series classification / Sara Akodad (2021)
Titre : Ensemble learning methods on the space of covariance matrices : application to remote sensing scene and multivariate time series classification Type de document : Thèse/HDR Auteurs : Sara Akodad, Auteur ; Christian Germain, Directeur de thèse ; Lionel Bombrun, Directeur de thèse Editeur : Bordeaux : Université de Bordeaux Année de publication : 2021 Importance : 220 p. Format : 21 x 30 cm Note générale : bibliographie
Thèse présentée pour obtenir le grade de Docteur de l'Université de Bordeaux, Spécialité Automatique, Productique, Signal et Image, Ingénierie cognitiqueLangues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image mixte
[Termes IGN] analyse multivariée
[Termes IGN] Castanea sativa
[Termes IGN] classification dirigée
[Termes IGN] classification par réseau neuronal convolutif
[Termes IGN] déformation temporelle dynamique (algorithme)
[Termes IGN] géométrie euclidienne
[Termes IGN] image Sentinel-MSI
[Termes IGN] image Sentinel-SAR
[Termes IGN] maladie phytosanitaire
[Termes IGN] matrice de covariance
[Termes IGN] processus gaussien
[Termes IGN] série temporelle
[Termes IGN] surveillance forestièreIndex. décimale : THESE Thèses et HDR Résumé : (auteur) In view of the growing success of second-order statistics in classification problems, the work of this thesis has been oriented towards the development of learning methods in manifolds. Indeed, covariance matrices are symmetric positive definite matrices that live in a non-Euclidean space. It is therefore necessary to adapt the classical tools of Euclidean geometry to handle this type of data. To do that, we have proposed to exploit the log-Euclidean metric. This latter allows to project the set of covariance matrices on a tangent plane to the manifold defined at a reference point, classically chosen equal to the identity matrix, followed by a vectorization step to obtain the log-Euclidean representation. On this tangent plane, it is possible to define parametric Gaussian models as well as Gaussian mixture models. Nevertheless, this projection on a single tangent plane can induce distortions. In order to overcome this limitation, we have proposed a GMM model composed of several tangent planes, where the reference points are defined by the centers of each cluster.In view of the success of neural networks, in particular convolutional neural networks (CNNs), we have proposed two hybrid transfer learning approaches based on the covariance matrix computed locally and globally on the CNN convolutional layers’ outputs. The local approach relies on the covariance matrices extracted locally on the first layers of a CNN, which are then encoded by the Fisher vectors computed on their log-Euclidean representation, while for the global approach, a single covariance matrix is computed on the feature maps of the CNN deep layers. Moreover, in order to give more importance to the objects of interest present in the images, we proposed to use a covariance matrix weighted by the saliency information. Furthermore, in order to take advantage of both local and global aspects, these two approaches are subsequently combined in an ensemble strategy.On the other hand, the availability of multivariate time series has aroused the interest of the remote sensing community and more generally of machine learning researchers for the development of new learning strategies dedicated to supervised classification. In particular, methods based on the calculation of point-to-point distance between series. Moreover, two series belonging to the same class can evolve in different ways, which can induce temporal distortions (translation, compression, dilation, etc.). To avoid this, warping methods allow to align the time series. In order to extend this approach to time series of covariance matrices, while ensuring invariance to the re-parametrization of the series, we were interested in the TSRVF representation. In the same context, several ensemble methods have been proposed in the literature, including TCK, which relies on similarity computation to classify time series. We have proposed to extend this strategy to covariance matrices by introducing the SO-TCK approach which relies on the log-Euclidean representation of such matrices. Finally, the last axis of this thesis concerns the modeling of temporal trajectories of signals measured by the radar (Sentinel 1) and optical (Sentinel 2) sensors. In particular, we are interested in the forestry problem of the chestnut ink disease in the Montmorency forest. For this purpose, we developed classification and regression models to predict a health status score from the covariance matrix computed on multi-temporal radiometric attributes. Note de contenu : Introduction
1- Riemannian geometry and statistical modeling on the space of Symmetric Positive Definite (SPD) matrices
2- Ensemble learning approaches based on covariance pooling of CNN Features
3- Symmetric positive definite matrix time series classification
4- Forest health monitoring using Sentinel-1 and Sentinel-2 time series
Conclusions and perspectivesNuméro de notice : 28605 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE/MATHEMATIQUE Nature : Thèse française Note de thèse : Thèse de Doctorat : Automatique, Productique, Signal et Image, Ingénierie cognitique : Bordeaux : 2021 Organisme de stage : IMS DOI : sans En ligne : https://tel.hal.science/tel-03484011 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99446
Titre : Étude de l’évolution du couvert forestier dans le Haut-Béarn Type de document : Mémoire Auteurs : Céline Toussaint, Auteur Editeur : Champs-sur-Marne : Ecole nationale des sciences géographiques ENSG Année de publication : 2021 Importance : 81 p. Format : 21 x 30 cm Note générale : Bibliographie
Mémoire de fin d'études, cycle des ingénieurs ENSG 3ème année, Master DDMEG Développement Durable, Management Environnemental et GéomatiqueLangues : Français (fre) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] analyse spatio-temporelle
[Termes IGN] BD forêt
[Termes IGN] BD Topo
[Termes IGN] Béarn
[Termes IGN] carte d'Etat-Major
[Termes IGN] carte de Cassini
[Termes IGN] couvert forestier
[Termes IGN] densité de la végétation
[Termes IGN] données vectorielles
[Termes IGN] image aérienne
[Termes IGN] image Landsat
[Termes IGN] image Sentinel-MSI
[Termes IGN] Normalized Difference Vegetation Index
[Termes IGN] orthoimage géoréférencée
[Termes IGN] peuplement forestier
[Termes IGN] QGISIndex. décimale : DDMEG Mémoires du Master Développement Durable, Management Environnemental et Géomatique Résumé : (Auteur) En Asie de l’Est et en Afrique subsaharienne, la superficie de la forêt régresse, tandis qu’en Europe de l’Est, une augmentation de la surface forestière est constatée depuis le XIXe siècle. Dans le Haut-Béarn, zone montagnarde à faible densité urbaine (environ 7 000 habitants pour 100 000 hectares), cette impression d’envahissement par les arbres est forte parmi la population, depuis le début de l’exode rural et le manque de main d’œuvre pour maintenir les paysages ouverts. C’est dans ce cadre que le sujet de stage « étude de l’évolution du couvert forestier dans le Haut-Béarn » a été proposé par l’Institution Patrimoniale du Haut-Béarn. Pour analyser ces changements, il a été question d’utiliser la télédétection, après avoir vectorisé les forêts sur les cartes d’État-Major, sur d’anciennes photographies aériennes (au préalable géoréférencées) sur le logiciel de SIG QGIS. L’utilisation de données forestières vectorielles, telles que les BD Forêt V1 (1992) et V2 (2008), et la BD Topographique (2019) de l’IGN, a permis d’établir qu’une augmentation d’environ 65 % est observable entre le XIXe siècle et 2019 sur le Haut-Béarn. La classification d’images satellites et le calcul de leur NDVI a enrichi la courbe d’évolution de la forêt sur ce territoire, qui a laissé apparaître une accélération de la progression de la forêt ces dernières années. Au cours de ce stage, des travaux annexes ont également pu être réalisés, comme la préparation de cartes pour des héliportages, ou l’utilisation d’algorithmes pour détecter les zones écobuées de 2021, et ont contribué à ma compréhension des enjeux du territoire des valléens. Note de contenu :
Introduction
1. Présentation et contexte
2. La caractérisation des forêts dans le Haut-Béarn au cours du temps
3. Les résultats et leurs enseignements
4. Travaux annexes principaux réalisés pendant le stage
ConclusionNuméro de notice : 26663 Affiliation des auteurs : non IGN Thématique : FORET/GEOMATIQUE/IMAGERIE Nature : Mémoire de fin d'études IT Organisme de stage : Institution Patrimoniale du Haut-Béarn Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=98873 Documents numériques
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Étude de l’évolution du couvert forestier dans le Haut-Béarn - pdf auteurAdobe Acrobat PDF Evaluation de la qualité des mesures de croissance pluriannuelles des données d’inventaire forestier national en vue de leur utilisation en monitoring à haute fréquence de la production forestière / Félix Altenhoven (2021)
Titre : Evaluation de la qualité des mesures de croissance pluriannuelles des données d’inventaire forestier national en vue de leur utilisation en monitoring à haute fréquence de la production forestière Type de document : Mémoire Auteurs : Félix Altenhoven, Auteur Editeur : Paris, Nancy, ... : AgroParisTech (2007 -) Année de publication : 2021 Autre Editeur : Nancy, Metz : Université de Lorraine Note générale : Mémoire de stage, soutenu à Nancy le 03/09/2021 MASTER AETPF Agrosciences, Environnement, Territoire, Paysage, Forêt Langues : Français (fre) Descripteur : [Termes IGN] cerne
[Termes IGN] erreur aléatoire
[Termes IGN] inventaire forestier (techniques et méthodes)
[Termes IGN] mesurage
[Vedettes matières IGN] Inventaire forestierIndex. décimale : MASTX Mémoires de masters divers Résumé : (auteur) [...] Lors de chaque campagne [d'inventaire forestier], environ 6000 placettes d’inventaire réparties partout en France sont visitées sur le terrain pour y décrire la forêt en place. Sur chaque placette, une carotte courte est prélevée sur chaque arbre vif afin de mesurer son accroissement radial cumulé lors des cinq dernières années (ou IR5). [...] L’objectif de ce stage de fin d’étude est de vérifier s’il existe une différence significative entre les valeurs de mesure d’IR5 obtenues sur le terrain, et celles obtenues en laboratoire pour une campagne de prélèvement donnée. Un autre objectif de ce stage est d’identifier les biais de mesures qui altèrent la précision des données. Note de contenu : 1-Contexte et objectifs
2-Matériel et méthode
3-Résultats
4-Discussion
5-Conclusion et perspectivesNuméro de notice : 17528 Affiliation des auteurs : non IGN Thématique : FORET Nature : Mémoire masters divers Organisme de stage : LIF (IGN) DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99218 Documents numériques
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Evaluation de la qualité des mesures ... - pdf auteurAdobe Acrobat PDF Forest Products Annual Market Review 2020-2021 / United Nations Economic Commission for Europe (2021)
Titre : Forest Products Annual Market Review 2020-2021 Type de document : Rapport Auteurs : United Nations Economic Commission for Europe, Auteur ; Food and agriculture organization of the United Nations, Auteur Editeur : Genève [Suisse] : United Nations Economic Commission for Europe UNECE Année de publication : 2021 Collection : Geneva timber and forest study papers, ISSN 1020-2269 num. 52 Importance : 85 p. Format : 21 x 30 cm ISBN/ISSN/EAN : 978-92-1-117279-9 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Economie européenne
[Termes IGN] bois
[Termes IGN] bois énergie
[Termes IGN] économie européenne
[Termes IGN] forêt
[Termes IGN] industrie forestière
[Termes IGN] marchéIndex. décimale : 412.2 Exploitation forestière et produits forestiers Numéro de notice : 27271 Affiliation des auteurs : non IGN Thématique : FORET Nature : Rapport statistique DOI : sans En ligne : https://unece.org/sites/default/files/2021-11/2114516E_Inside_Final_web.pdf Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99592 Voir aussi
- Forest Products Annual Market Review 2015-2016 / United Nations Economic Commission for Europe (2017)
- Forest Products Annual Market Review 2014-2015 / United Nations Economic Commission for Europe (2015)
- Forest Products Annual Market Review 2007-2008 / United Nations Economic Commission for Europe (2008)
- Forest Products Annual Market Review 2017-2018 / United Nations Economic Commission for Europe (2018)
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LIEBL.) analysed along a productivity gradient through Europe / Hans Pretzsch in European Journal of Forest Research, vol 139 n° 3 (June 2020)PermalinkUnder-canopy UAV laser scanning for accurate forest field measurements / Eric Hyyppä in ISPRS Journal of photogrammetry and remote sensing, vol 164 (June 2020)PermalinkImproved supervised learning-based approach for leaf and wood classification from LiDAR point clouds of forests / Sruthi M. Krishna Moorthy in IEEE Transactions on geoscience and remote sensing, vol 58 n° 5 (May 2020)PermalinkWhat Is threatening forests in protected areas? A global assessment of deforestation in protected areas, 2001–2018 / Christopher M. Wade in Forests, vol 11 n° 5 (May 2020)PermalinkL’inventaire forestier national pour un suivi permanent, multi-échelles et multi-thématiques de la forêt française et des ressources bois mobilisables / Antoine Colin in Sciences, eaux & territoires, n° 33 (avril 2020)PermalinkLa télédétection aéroportée pour la gestion des territoires forestiers de montagne / Jean-Matthieu Monnet in Sciences, eaux & territoires, n° 33 (avril 2020)PermalinkDetection of Xylella fastidiosa infection symptoms with airborne multispectral and thermal imagery: Assessing bandset reduction performance from hyperspectral analysis / T. Poblete in ISPRS Journal of photogrammetry and remote sensing, vol 162 (April 2020)PermalinkSize-class structure of the forests of Finland during 1921–2013: a recovery from centuries of exploitation, guided by forest policies / Helena M. Henttonen in European Journal of Forest Research, vol 139 n° 2 (April 2020)PermalinkHow far can we trust forestry estimates from low-density LiDAR acquisitions? The Cutfoot Sioux experimental forest (MN, USA) case study / Enrico Borgogno Mondino in International Journal of Remote Sensing IJRS, vol 41 n° 12 (20 - 30 March 2020)PermalinkCan mixed pine forests conserve understory richness by improving the establishment of understory species typical of native oak forests? / Daphne Lopez-Marcos in Annals of Forest Science, Vol 77 n° 1 (March 2020)PermalinkEffects of Quercus rubra L. on soil properties and humus forms in 50-year-old and 80-year-old forest stands of Lombardy plain / Chiara Ferré in Annals of Forest Science, Vol 77 n° 1 (March 2020)PermalinkLarge-scale two-phase estimation of wood production by poplar plantations exploiting Sentinel-2 data as auxiliary information / Agnese Marcelli in Silva fennica, vol 54 n° 2 (March 2020)PermalinkMulti-century reconstruction suggests complex interactions of climate and human controls of forest fire activity in a Karelian boreal landscape, North-West Russia / N. Ryzhkova in Forest ecology and management, vol 459 (1 March 2020)PermalinkSpecies richness influences the spatial distribution of trees in European forests / Cristina Bastias in Oikos, vol 129 n° 3 (March 2020)Permalink