Descripteur
Termes IGN > sciences naturelles > sciences de la vie > biologie > botanique > productivité biologique > biomasse > biomasse forestière
biomasse forestière |
Documents disponibles dans cette catégorie (199)
Ajouter le résultat dans votre panier
Visionner les documents numériques
Affiner la recherche Interroger des sources externes
Etendre la recherche sur niveau(x) vers le bas
Mangrove forest characterization in Southeast Côte d’Ivoire / Isimemen Osemwegie in Open journal of forestry, vol 6 n° 3 (February 2016)
[article]
Titre : Mangrove forest characterization in Southeast Côte d’Ivoire Type de document : Article/Communication Auteurs : Isimemen Osemwegie, Auteur ; Dibi N'da Hyppolite, Auteur ; et al., Auteur Année de publication : 2016 Article en page(s) : pp 138 - 150 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] analyse diachronique
[Termes IGN] biomasse aérienne
[Termes IGN] biomasse forestière
[Termes IGN] caractérisation
[Termes IGN] changement climatique
[Termes IGN] Côte d'Ivoire
[Termes IGN] Leaf Area Index
[Termes IGN] mangrove
[Termes IGN] palétuvier
[Termes IGN] peuplement forestier
[Termes IGN] puits de carbone
[Termes IGN] structure d'un peuplement forestier
[Termes IGN] teneur en carbone
[Vedettes matières IGN] Végétation et changement climatiqueRésumé : (auteur) Mangrove ecosystems are faced with far more existential threats of erosion than their terrestrial counterparts. Consequences of their degradation vary from decline in edible aquatic stocks, coastal erosion and aquatic weeds invasion. Mangrove forest dynamics was assessed from multi-temporal analyses of remotely sensed satellite images (mosaics of 1989/90 and 2014/15) within 233,900 hectares. Ground-truthing was accompanied by field measurements in selected forest stands to characterize structure, estimate biomass and carbon pools. With conservation as overriding goal, a socio-economic survey was conducted to underpin the factors influencing mangrove forests over-exploitation and qualitatively assess the sensitivity of the locals to resources decline. The region recorded fifty percent loss of mangrove area during the 25-year period. Low leaf area index (1.02 - 2.52 m2·m-2) confirms canopy openness. Above-ground root biomass (kg per root) ranged between 110.67 and 382.64. The roots demonstrate capacity to fix up to 176 Mg C ha-1 with average carbon content of 46 percent. Highest carbon pools were in the Eloka-To forest stands, in near natural conditions. Despite harsh environmental conditions, potential for natural regeneration was evidenced by seedlings density (individuals per m2) up to 76. Pilot survey revealed high dependence on mangrove resources for direct income (70 percent) and daily energy needs (60 percent). Despite the heightened awareness of the impending dangers posed by mangrove deforestation and willingness to conserve, riverine communities are incapacitated by lack of viable economic alternatives. External interventions are therefore imperative to achieve conservation goals with long-term implications for climate change adaptation and mitigation. Numéro de notice : A2016-147 Affiliation des auteurs : non IGN Thématique : FORET Nature : Article DOI : 10.4236/oje.2016.63014 En ligne : http://dx.doi.org/ 10.4236/oje.2016.63014 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=80346
in Open journal of forestry > vol 6 n° 3 (February 2016) . - pp 138 - 150[article]Statistical rigor in LiDAR-assisted estimation of aboveground forest biomass / Timothy G. Gregoire in Remote sensing of environment, vol 173 (February 2016)
[article]
Titre : Statistical rigor in LiDAR-assisted estimation of aboveground forest biomass Type de document : Article/Communication Auteurs : Timothy G. Gregoire, Auteur ; Erik Naesset, Auteur ; Ronald E. McRoberts, Auteur ; et al., Auteur Année de publication : 2016 Article en page(s) : pp 98 - 108 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] biomasse aérienne
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] échantillonnage
[Termes IGN] incertitude géométrique
[Termes IGN] inférence statistique
[Termes IGN] varianceRésumé : (auteur) For many decades remotely sensed data have been used as a source of auxiliary information when conducting regional or national surveys of forest resources. In the past decade, airborne scanning LiDAR (Light Detection and Ranging) has emerged as a promising tool for sample surveys aimed at improving estimation of above-ground forest biomass. This technology is now employed routinely in forest management inventories of some Nordic countries, and there is eager anticipation for its application to assess changes in standing biomass in vast tropical regions of the globe in concert with the UN REDD program to limit C emissions. In the rapidly expanding literature on LiDAR-assisted biomass estimation the assessment of the uncertainty of estimation varies widely, ranging from statistically rigorous to ad hoc. In many instances, too, there appears to be no recognition of different bases of statistical inference which bear importantly on uncertainty estimation. Statistically rigorous assessment of uncertainty for four large LiDAR-assisted surveys is expounded. Numéro de notice : A2016--160 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2015.11. En ligne : https://doi.org/10.1016/j.rse.2015.11.012 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=87012
in Remote sensing of environment > vol 173 (February 2016) . - pp 98 - 108[article]Estimation of forest biomass using multivariate relevance vector regression / Alireza Sharifi in Photogrammetric Engineering & Remote Sensing, PERS, vol 82 n° 1 (January 2016)
[article]
Titre : Estimation of forest biomass using multivariate relevance vector regression Type de document : Article/Communication Auteurs : Alireza Sharifi, Auteur ; Jalal Amini, Auteur ; Ryutaro Tateishi, Auteur Année de publication : 2016 Article en page(s) : pp 41 - 49 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] biomasse aérienne
[Termes IGN] biomasse forestière
[Termes IGN] estimation statistique
[Termes IGN] forêt
[Termes IGN] image ALOS-PALSAR
[Termes IGN] Iran
[Termes IGN] Perceptron multicouche
[Termes IGN] régression multiple
[Termes IGN] séparateur à vaste marge
[Vedettes matières IGN] Inventaire forestierRésumé : (auteur) The objective of this study is to develop a method based on multivariate relevance vector regression (MVRVR) as a kernelbased Bayesian model for the estimation of above-ground biomass (AGB) in the Hyrcanian forests of Iran. Field AGB data from the Hyrcanian forests and multi-temporal PALSAR backscatter values are used for training and testing the methods. The results of the MVRVR method are then compared with other methods: multivariate linear regression (MLR), multilayer perceptron neural network (MLPNN), and support vector regression (SVR). The MLR model showed lower values of R2 than the three other approaches. Although the SVR model was found to be more accurate than MLPNN, it had the lowest saturation point of 224.75 Mg/ha. The use of MVRVR model significantly improves the estimation of AGB (R2 = 0.90; RMSE = 32.05 Mg/ha), and the model showed a superior performance in estimating AGB with the highest saturation point (297.81 Mg/ha). Numéro de notice : A2016-053 Affiliation des auteurs : non IGN Thématique : FORET Nature : Article DOI : 10.14358/PERS.83.1.41 En ligne : https://doi.org/10.14358/PERS.83.1.41 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=79654
in Photogrammetric Engineering & Remote Sensing, PERS > vol 82 n° 1 (January 2016) . - pp 41 - 49[article]Measurement of the annual biomass increment of the French forests, XYLODENSMAP project [diaporama] / Jean-Michel Leban (2016)
Titre : Measurement of the annual biomass increment of the French forests, XYLODENSMAP project [diaporama] Type de document : Article/Communication Auteurs : Jean-Michel Leban , Auteur ; Jean-Christophe Hervé (1961-2017) , Auteur ; Jean-Daniel Bontemps , Auteur ; Fleur Longuetaud, Auteur ; Frédéric Mothe, Auteur ; Philippe Jacquin, Auteur Editeur : Saint-Mandé : Institut national de l'information géographique et forestière - IGN (2012-) Année de publication : 2016 Projets : XyloDensMap / Leban, Jean-Michel Conférence : IUFRO 2016, conference Modelling Wood Quality, Supply and Value Chain Networks-Wood 12/06/2016 18/06/2016 Québec Langues : Anglais (eng) Descripteur : [Termes IGN] arbre (flore)
[Termes IGN] base de données localisées
[Termes IGN] biomasse forestière
[Termes IGN] densité du bois
[Termes IGN] inventaire forestier national (données France)
[Termes IGN] puits de carbone
[Vedettes matières IGN] Végétation et changement climatiqueRésumé : (auteur) In the context of climatic change an increasing attention is paid to the ability of forests to store more carbon as increasing carbon sequestration by forests is equivalent to reducing emissions the release of carbon to the atmosphere. Estimating the quantity of carbon sequestered in the forests is usually based upon the National Forest Inventory statistical measurements. These measurements are converted in estimates of the annual forest increments that in turn are converted in annual biomass increments by the means of models and of average basic density values depending of the availability of wood density data bases. The wood density is very variable among species and is dependant of the annual rings anatomical structure (ring porous, semi-ring porous, diffuse porous, non-porous) and of the growth conditions of the trees (genetic origin, stand age and structure, management, and climate). These different sources of variability of the wood density are not yet taken into account for forests carbon accounting. The objective of this project is to measure the wood density variations on all the thirty thousand trees measured during one year by the technicians of the French National Forest Inventory. A new low cost method was developed for the processing of all the collected increment cores. The increments cores are stored in alveolar polycarbonate plates, dried and scanned with one medical Xray scanner. For each increment core the width of the last five rings was measured on the field and the corresponding wood density obtained by the scanner and a new informatics program. This method is tested for the first time in France and it will provide a new xylotheque and an original wood density data set for all the French tree species measured by the National Forest Inventory. We will present preliminary results for the new measurement proxy of the annual forest biomass increments, illustrate the perspective to analyze the biomass increments in relation with the forests stand structure and with the geographical climatic conditions and discuss the interest to measure on the same samples other wood properties than wood density. Numéro de notice : C2016-016 Affiliation des auteurs : LIF+Ext (2012-2019) Thématique : FORET Nature : Communication nature-HAL : ComSansActesPubliés-Unpublished DOI : sans Date de publication en ligne : 17/06/2017 En ligne : https://www.researchgate.net/publication/304037000_Measurement_of_the_annual_bio [...] Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=84600 Documents numériques
en open access
Measurement of the annual biomass increment of the French forestsAdobe Acrobat PDF Radar based classification prior to biomass retrieval from P-Band SAR data / Pierre-Louis Frison (2016)
Titre : Radar based classification prior to biomass retrieval from P-Band SAR data Type de document : Article/Communication Auteurs : Pierre-Louis Frison , Auteur ; Ludovic Villard, Auteur ; Thierry Koleck, Auteur ; Thuy Le Toan, Auteur Editeur : Paris : Agence Spatiale Européenne ASE / European Space Agency ESA Année de publication : 2016 Conférence : LPS 2016, ESA Living Planet Symposium 09/05/2016 13/05/2016 Prague République tchèque programme sans actes Format : 21 x 30 cm Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] bande C
[Termes IGN] bande L
[Termes IGN] bande P
[Termes IGN] Biomass
[Termes IGN] biomasse aérienne
[Termes IGN] détection de changement
[Termes IGN] données polarimétriques
[Termes IGN] forêt boréale
[Termes IGN] forêt tropicale
[Termes IGN] image ALOS-PALSAR
[Termes IGN] image radar moirée
[Termes IGN] image Sentinel-SARRésumé : (auteur) SAR data are well suited for the retrieval of biomass from vegetated areas. In particular, the ability of low frequencies to deeply penetrate dense vegetation, allows P band radar data to retrieve high biomass levels that can be encountered over forests, where other frequencies show their limitations. The BIOMASS mission, consisting in the launch of a P band SAR sensor, has been selected by ESA as the 7th Earth Explorer mission, will allow to estimate the world’s forest biomass and its changes. However, forests observe strong spatial differences in terms of structure or surface topography. These differences induce significant changes of the scattering mechanism occurring within a resolution cell. At global scale, the differences are obvious (for example between boreal and tropical regions), but at regional scale, strong differences can also be observed (for example gallery forests within savannahs, forest edges, or changes due to surface topography). The consideration of these changes is a major issue to improve the robustness of the inversion algorithm in order to reduce the errors of the biomass estimations. Up to now, no unique inversion method has been developed, that would be valid over the wide variety of forests types. An alternative is to propose a classification method that will allow to discriminate between forest types in terms of radar scattering behavior in order to apply the best suited algorithm. This is the aim of the present study. The focus is put on the analysis of the different polarimetric indices that can be derived from the fully polarimetric data acquired during the BIOMASS mission. Then the contribution of other data that should be concomitant to the BIOMASS mission, such as Sentinel-1 at C band or PALSAR2 at L band will also be investigated. This study will be based on the analysis of P band SAR data acquired during airborne campaigns other boreal (BioSAR 1 and 2) and tropical (TropiSAR, AfriSAR) forests, over a wide range of biomass value and terrain conditions. Numéro de notice : C2016-056 Affiliation des auteurs : LASTIG MATIS+Ext (2012-2019) Thématique : FORET/IMAGERIE Nature : Communication nature-HAL : ComSansActesPubliés-Unpublished DOI : sans En ligne : http://lps16.esa.int/page_session187.php#2131p Format de la ressource électronique : URL abstract Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=91908 Examining the potential of Sentinel-2 MSI spectral resolution in quantifying above ground biomass across different fertilizer treatments / Mbulisi Sibanda in ISPRS Journal of photogrammetry and remote sensing, vol 110 (December 2015)PermalinkA review of forest and tree plantation biomass equations in Indonesia / Kamalakumari Anitha in Annals of Forest Science, vol 72 n° 8 (December 2015)PermalinkMultitemporal fluctuations in L-Band Backscatter from a japanese forest / Manabu Watanabe in IEEE Transactions on geoscience and remote sensing, vol 53 n° 11 (November 2015)PermalinkInvestigating the robustness of the new Landsat-8 Operational Land Imager derived texture metrics in estimating plantation forest aboveground biomass in resource constrained areas / Timothy Dube in ISPRS Journal of photogrammetry and remote sensing, vol 108 (October 2015)PermalinkModeling 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)Permalinkvol 72 n° 7 - October 2015 - Monitoring European forests: results for science, policy, and society (Bulletin de Annals of Forest Science) / Pasi RautioPermalinkEstimation 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)Permalinkvol 72 n° 6 - September 2015 - Wood properties: future needs, measurement and modelling (Bulletin de Annals of Forest Science) / Francis ColinPermalinkAboveground-biomass estimation of a complex tropical forest in India using Lidar / Cédric Vega in Remote sensing, vol 7 n° 8 (August 2015)PermalinkModeling aboveground tree woody biomass using national-scale allometric methods and airborne lidar / Qi Chen in ISPRS Journal of photogrammetry and remote sensing, vol 106 (August 2015)Permalink