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Retrieving the stand age from a retrospective detection of multinannual forest changes using Landsat data. Application on the heavily managed maritime pine forest in Southwestern France from a 30-year Landsat time-series (1984–2014) / Dominique Guyon (2015)  

Public Titre : Retrieving the stand age from a retrospective detection of multinannual forest changes using Landsat data. Application on the heavily managed maritime pine forest in Southwestern France from a 30-year Landsat time-series (1984–2014) Type de document : Article/Communication Auteurs : Dominique Guyon, Auteur ; Sylvio Laventure, Auteur ; Thierry Bélouard , Auteur ; Jean-Charles Samalens, Auteur ; Jean-Pierre Wigneron, Auteur Editeur : New York : Institute of Electrical and Electronics Engineers IEEE Année de publication : 2015 Conférence : IGARSS 2015, International Geoscience And Remote Sensing Symposium 26/07/2015 31/07/2015 Milan Italie Proceedings IEEE Importance : pp 1968 - 1971 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] analyse diachronique [Termes IGN] dendrométrie [Termes IGN] détection de changement [Termes IGN] dommage matériel [Termes IGN] image Landsat [Termes IGN] Landes (40) [Termes IGN] masque [Termes IGN] Pinus pinaster [Termes IGN] réflectance végétale [Termes IGN] série temporelle [Termes IGN] tempête Résumé : (auteur) The availability of Landsat data (Landsat 4, 5, 7 and 8) from ~30 years makes it possible to analyze the forest long term dynamics at high resolution (30m). The performances of the Landsat time-series have been already demonstrated for mapping and monitoring the annual clear-cuts and the storm damage in the Landes Forest, that covers ~1 million ha in southwestern France and that is heavily managed with even-aged stands with rather short rotations after clear-cut harvesting. Our objectives aimed at improving, automating, and enriching these previous methods. This was to operationally produce over the whole Landes Forest not only (1) the annual maps of clear-cutting from 1984 up the current year but also (2) the map of the current age that was derived from the forest change detected every year since 1984. The developed methodology used the time-series of surface reflectance and cloud mask provided for Landsat by USGS and sought to cope the possible absence of cloud-free image during the interest season or the numerous missing data in Landsat 7 images after 2002. The retrospective processing of the Landsat time-series from 1984 to 2014 made it possible the prediction of actual current age with a satisfactory accuracy. Numéro de notice : C2015-056 Affiliation des auteurs : IGN+Ext (2012-2019) Thématique : FORET/IMAGERIE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.1109/IGARSS.2015.7326182 Date de publication en ligne : 12/11/2015 En ligne : http://dx.doi.org/10.1109/IGARSS.2015.7326182 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=91800

Using cover measurements to estimate aboveground understorey biomass in Maritime pine stands / Annabel J. Porté in Annals of Forest Science, Vol 66 n° 3 (April - May 2009)  

Public [article]  inAnnals of Forest Science > Vol 66 n° 3 (April - May 2009) . - n° 307 Titre : Using cover measurements to estimate aboveground understorey biomass in Maritime pine stands Titre original : Estimation de la biomasse aérienne du sous-bois de peuplements de pin maritime à l'aide de mesures de recouvrement Type de document : Article/Communication Auteurs : Annabel J. Porté, Auteur ; Jean-Charles Samalens, Auteur ; Raphaël Dulhoste, Auteur ; Rémi Teissier du Cros, Auteur ; Alexandre Bosc, Auteur ; Céline Meredieu, Auteur Année de publication : 2009 Article en page(s) : n° 307 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Végétation [Termes IGN] biomasse forestière [Termes IGN] mise à l'échelle [Termes IGN] modèle de croissance végétale [Termes IGN] Pinus pinaster [Termes IGN] sous-bois Résumé : (auteur) Understorey plays a major role in forest fluxes and stocks balances, however this compartment is generally poorly quantified. Our objectives were to establish models to estimate understorey biomass using vegetation cover measurements and to investigate upscaling methodologies from stand to regional level. Understorey aboveground biomass measurements were undertaken in Maritime pine stands of mesohygric, mesic and dry moorlands in South West France. Average biomass stock in this compartment was estimated to 3.50 t DM ha-1. The more abundant species groups varied with moorland types, with a higher relative contribution of herbaceous species (23.3%), bracken (59.2%) and mosses (31.6%) for mesohygric, mesic and dry moorlands, respectively. For each species group, we established significant relationships to estimate biomass using a volumetric index, based on cover and height measurements. No relationship between stand characteristics and understorey biomass was founded. We investigated the upscaling of these estimations to a several thousands hectare area using understorey cover measurements done along a regular spatial grid. The only significant correlation linked one satellite vegetation index to understorey biomass. We successfully developed empirical relationships to estimate the understorey biomass at the stand level. Further investigations could focus on the analysis of understorey variability over a finer space grid and the potential use of satellite vegetation indexes. Numéro de notice : A2009-710 Affiliation des auteurs : non IGN Thématique : BIODIVERSITE/FORET Nature : Article DOI : 10.1051/forest/2009005 Date de publication en ligne : 10/03/2009 En ligne : https://www.afs-journal.org/articles/forest/full_html/2009/03/f08135/f08135.html Format de la ressource électronique : url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=72062 [article]