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vol 72 n° 7 - October 2015 - Monitoring European forests: results for science, policy, and society (Bulletin de Annals of Forest Science) / Pasi Rautio
[n° ou bulletin]
est un bulletin de Annals of Forest Science / Institut national de la recherche agronomique (1946 - 2019) (1999 -)
Titre : vol 72 n° 7 - October 2015 - Monitoring European forests: results for science, policy, and society Type de document : Périodique Auteurs : Pasi Rautio, Éditeur scientifique ; Marco Ferretti, Éditeur scientifique Année de publication : 2015 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Végétation
[Termes IGN] biomasse forestière
[Termes IGN] défoliation
[Termes IGN] développement durable
[Termes IGN] surveillance de la végétationNuméro de notice : sans Affiliation des auteurs : non IGN Thématique : FORET Nature : Numéro de périodique En ligne : http://link.springer.com/journal/13595/72/7/page/1 Format de la ressource électronique : URL Sommaire Permalink : https://documentation.ensg.eu/index.php?lvl=bulletin_display&id=26022 [n° ou bulletin]Contient
- Monitoring ectomycorrhizal fungi at large scales for science, forest management, fungal conservation and environmental policy / Laura M. Suz in Annals of Forest Science, vol 72 n° 7 (October 2015)
- Variables related to nitrogen deposition improve defoliation models for European forests / Marco Ferretti in Annals of Forest Science, vol 72 n° 7 (October 2015)
- Phosphorus nutrition of beech (Fagus sylvatica L.) is decreasing in Europe / Ulrike Talkne in Annals of Forest Science, vol 72 n° 7 (October 2015)
- Exceedance of critical loads and of critical limits impacts tree nutrition across Europe / Peter Waldner in Annals of Forest Science, vol 72 n° 7 (October 2015)
- Modeling the above and belowground biomass of planted and coppiced Eucalytpus globulus stands in NW Spain / Daniel J. Vega-Nieva in Annals of Forest Science, vol 72 n° 7 (October 2015)
- Monitoring European forests: results for science, policy, and society / Pasi Rautio in Annals of Forest Science, vol 72 n° 7 (October 2015)
Estimation of forest biomass from two-level model inversion of single-pass InSAR data / M.J. Soja in IEEE Transactions on geoscience and remote sensing, vol 53 n° 9 (September 2015)
[article]
Titre : Estimation of forest biomass from two-level model inversion of single-pass InSAR data Type de document : Article/Communication Auteurs : M.J. Soja, Auteur ; Henrik J. Persson, Auteur ; Lars M.H. Ulander, Auteur Année de publication : 2015 Article en page(s) : pp 5083 - 5099 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] biomasse forestière
[Termes IGN] forêt boréale
[Termes IGN] image TanDEM-X
[Termes IGN] interféromètrie par radar à antenne synthétique
[Termes IGN] modèle numérique de terrain
[Termes IGN] placette d'échantillonnage
[Termes IGN] polarimétrie radar
[Termes IGN] SuèdeRésumé : (Auteur) A model for aboveground biomass estimation from single-pass interferometric synthetic aperture radar (InSAR) data is presented. Forest height and canopy density estimates Δh and η0, respectively, obtained from two-level model (TLM) inversion, are used as biomass predictors. Eighteen bistatic VV-polarized TanDEM-X (TDM) acquisitions are used, made over two Swedish test sites in the summers of 2011, 2012, and 2013 (nominal incidence angle: 41°; height-of-ambiguity: 32-63 m). Remningstorp features a hemiboreal forest in southern Sweden, with flat topography and where 32 circular plots have been sampled between 2010 and 2011 (area: 0.5 ha; biomass: 42-242 t/ha; height: 14-32 m) . Krycklan features a boreal forest in northern Sweden, 720-km north-northeast from Remningstorp, with significant topography and where 31 stands have been sampled in 2008 (area: 2.4-26.3 ha; biomass: 23-183 t/ha; height: 7-21 m). A high-resolution digital terrain model has been used as ground reference during InSAR processing. For the aforementioned plots and stands and if the same acquisition is used for model training and validation, the new model explains 65%-89% of the observed variance, with root-mean-square error (RMSE) of 12%-19% (median: 15%) . By fixing two of the three model parameters, accurate biomass estimation can also be done when different acquisitions or different test sites are used for model training and validation, with RMSE of 12%-56% (median: 17%). Compared with a simple scaling model computing biomass from the phase center elevation above ground, the proposed model shows significantly better performance in Remningstorp, as it accounts for the large canopy density variations caused by active management. In Krycklan, the two models show similar performance. Numéro de notice : A2015-525 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2015.2417205 Date de publication en ligne : 24/04/2015 En ligne : https://doi.org/10.1109/TGRS.2015.2417205 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=77536
in IEEE Transactions on geoscience and remote sensing > vol 53 n° 9 (September 2015) . - pp 5083 - 5099[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-2015091 SL Revue Centre de documentation Revues en salle Disponible Recommendations for the use of tree models to estimate national forest biomass and assess their uncertainty / Matieu Henry in Annals of Forest Science, vol 72 n° 6 (September 2015)
[article]
Titre : Recommendations for the use of tree models to estimate national forest biomass and assess their uncertainty Type de document : Article/Communication Auteurs : Matieu Henry, Auteur ; Miguel Cifuentes Jara, Auteur ; Maxime Réjou-Méchain, Auteur ; et al., Auteur Année de publication : 2015 Article en page(s) : pp 769 - 777 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Statistiques
[Termes IGN] arbre (flore)
[Termes IGN] biomasse
[Termes IGN] disponibilité des données
[Termes IGN] estimation statistique
[Termes IGN] incertitude des données
[Termes IGN] inventaire forestier (techniques et méthodes)
[Termes IGN] inventaire forestier national (données France)
[Termes IGN] masse végétale
[Termes IGN] sylviculture
[Termes IGN] volume (grandeur)Résumé : (auteur) Key message : Three options are proposed to improve the accuracy of national forest biomass estimates and decrease the uncertainty related to tree model selection depending on available data and national contexts.
Introduction : Different tree volume and biomass equations result in different estimates. At national scale, differences of estimates can be important while they constitute the basis to guide policies and measures, particularly in the context of climate change mitigation.
Method : Few countries have developed national tree volume and biomass equation databases and have explored its potential to decrease uncertainty of volume and biomasttags estimates. With the launch of the GlobAllomeTree webplatform, most countries in the world could have access to country-specific databases. The aim of this article is to recommend approaches for assessing tree and forest volume and biomass at national level with the lowest uncertainty. The article highlights the crucial need to link allometric equation development with national forest inventory planning efforts.
Results : Models must represent the tree population considered. Data availability; technical, financial, and human capacities; and biophysical context, among other factors, will influence the calculation process.
Conclusion : Three options are proposed to improve accuracy of national forest assessment depending on identified contexts. Further improvements could be obtained through improved forest stratification and additional non-destructive field campaigns.Numéro de notice : A2015-410 Affiliation des auteurs : non IGN Thématique : FORET/MATHEMATIQUE Nature : Article DOI : 10.1007/s13595-015-0465-x Date de publication en ligne : 20/03/2015 En ligne : https://doi.org/10.1007/s13595-015-0465-x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=76898
in Annals of Forest Science > vol 72 n° 6 (September 2015) . - pp 769 - 777[article]vol 72 n° 6 - September 2015 - Wood properties: future needs, measurement and modelling (Bulletin de Annals of Forest Science) / Francis Colin
[n° ou bulletin]
est un bulletin de Annals of Forest Science / Institut national de la recherche agronomique (1946 - 2019) (1999 -)
Titre : vol 72 n° 6 - September 2015 - Wood properties: future needs, measurement and modelling Type de document : Périodique Auteurs : Francis Colin, Éditeur scientifique ; Marie-Pierre Laborie, Éditeur scientifique ; Mathieu Fortin, Éditeur scientifique Année de publication : 2015 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Végétation
[Termes IGN] biomasse forestière
[Termes IGN] bois d'industrie
[Termes IGN] développement durableNuméro de notice : sans Affiliation des auteurs : non IGN Thématique : FORET Nature : Numéro de périodique En ligne : http://link.springer.com/journal/13595/72/6/page/1 Format de la ressource électronique : URL Sommaire Permalink : https://documentation.ensg.eu/index.php?lvl=bulletin_display&id=25371 [n° ou bulletin]Contient
- Is the variability of key wood properties linked with the variability of key architectural traits? Case of planted Teak in Togo regarding thinning and provenance / Kodjo Tondjo in Annals of Forest Science, vol 72 n° 6 (September 2015)
- A novel method to correct for wood MOE ultrasonics and NIRS measurements on increment cores in Liquidambar styraciflua L / Herizo Rakotovololonalimanana in Annals of Forest Science, vol 72 n° 6 (September 2015)
- Recommendations for the use of tree models to estimate national forest biomass and assess their uncertainty / Matieu Henry in Annals of Forest Science, vol 72 n° 6 (September 2015)
- An overview of existing and promising technologies for national forest monitoring / Matieu Henry in Annals of Forest Science, vol 72 n° 6 (September 2015)
Aboveground-biomass estimation of a complex tropical forest in India using Lidar / Cédric Vega in Remote sensing, vol 7 n° 8 (August 2015)
[article]
Titre : Aboveground-biomass estimation of a complex tropical forest in India using Lidar Type de document : Article/Communication Auteurs : Cédric Vega , Auteur ; Udayalakshmi Vepakomma, Auteur ; Jules Morel, Auteur ; Jean-Luc Bader, Auteur ; Gopalakrishnan Rajashekar, Auteur ; Chandra Shekhar Jha, Auteur ; Jérôme Ferêt, Auteur ; Christophe Proisy, Auteur ; Raphaël Pélissier, Auteur ; Vinay Kumar Dadhwal, Auteur Année de publication : 2015 Projets : 3-projet - voir note / Article en page(s) : pp 10607 - 10625 Note générale : bibliographie
The research has been supported by IFPCAR (Indo-French Promotion Center for Advanced Research) through the joint project number 4509-1 “Controlling for Uncertainty in Assessment of Forest Aboveground Biomass in the Western Ghats of India”between UMR AMAP, Montpellier and the National Remote Sensing Centre, Hyderabad. The authors also greatly acknowledge the French Institute of Pondicherry (IFP) for its financial support to Udayalakshmi Vepakomma for visiting IFPand for providing field control data from its long term monitoring plot in Uppangala.Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] biomasse aérienne
[Termes IGN] canopée
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] forêt tropicale
[Termes IGN] Ghats occidentaux
[Termes IGN] Inde
[Termes IGN] pente
[Termes IGN] profil en travers
[Termes IGN] semis de points
[Termes IGN] structure d'un peuplement forestier
[Termes IGN] volume en boisRésumé : (auteur) Light Detection and Ranging (Lidar) is a state of the art technology to assess forest aboveground biomass (AGB). To date, methods developed to relate Lidar metrics with forest parameters were built upon the vertical component of the data. In multi-layered tropical forests, signal penetration might be restricted, limiting the efficiency of these methods. A potential way for improving AGB models in such forests would be to combine traditional approaches by descriptors of the horizontal canopy structure. We assessed the capability and complementarity of three recently proposed methods for assessing AGB at the plot level using point distributional approach (DM), canopy volume profile approach (CVP), 2D canopy grain approach (FOTO), and further evaluated the potential of a topographical complexity index (TCI) to explain part of the variability of AGB with slope. This research has been conducted in a mountainous wet evergreen tropical forest of Western Ghats in India. AGB biomass models were developed using a best subset regression approach, and model performance was assessed through cross-validation. Results demonstrated that the variability in AGB could be efficiently captured when variables describing both the vertical (DM or CVP) and horizontal (FOTO) structure were combined. Integrating FOTO metrics with those of either DM or CVP decreased the root mean squared error of the models by 4.42% and 6.01%, respectively. These results are of high interest for AGB mapping in the tropics and could significantly contribute to the REDD+ program. Model quality could be further enhanced by improving the robustness of field-based biomass models and influence of topography on area-based Lidar descriptors of the forest structure. Numéro de notice : A2015--081 Affiliation des auteurs : LIF+Ext (2012-2019) Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.3390/rs70810607 Date de publication en ligne : 18/08/2015 En ligne : https://doi.org/10.3390/rs70810607 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=84559
in Remote sensing > vol 7 n° 8 (August 2015) . - pp 10607 - 10625[article]Documents numériques
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