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Combined use of Sentinel-1 and Sentinel-2 data for improving above-ground biomass estimation / Narissara Nuthammachot in Geocarto international, vol 37 n° 2 ([15/01/2022])  

Public [article]  inGeocarto international > vol 37 n° 2 [15/01/2022] . - pp 366 - 376 Titre : Combined use of Sentinel-1 and Sentinel-2 data for improving above-ground biomass estimation Type de document : Article/Communication Auteurs : Narissara Nuthammachot, Auteur ; Askar Askar, Auteur ; Dimitris Stratoulias, Auteur ; et al., Auteur Année de publication : 2022 Article en page(s) : pp 366 - 376 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image mixte [Termes IGN] biomasse aérienne [Termes IGN] corrélation [Termes IGN] échantillonnage de données [Termes IGN] forêt privée [Termes IGN] fusion d'images [Termes IGN] image Sentinel-MSI [Termes IGN] image Sentinel-SAR [Termes IGN] indice de végétation [Termes IGN] Indonésie [Termes IGN] précision de l'estimation Résumé : (auteur) Above-ground Biomass (AGB) represents the largest amount of biomass found on earth. Passive and active remote sensors have been a useful tool in estimating AGB for this purpose; nevertheless, both data sources suffer from saturation problems in dense vegetation. A combination of optical and radar data could potentially increase the accuracy of AGB estimation. In this study we evaluate the synergistic use of Sentinel-1 and Sentinel-2 for assessing AGB in a private forest in Yogyakarta, Indonesia. Forty five sample plots of 20 m x 20 m were used as ground truth data. AGB correlated with Sentinel-1 backscatter and Sentinel-2 derived variables with R2 = 0.34 and R2 = 0.82, respectively; nevertheless, the synergistic use of Sentinel-1 and Sentinel-2 yielded the highest accuracy (i.e., R2 = 0.84). The results indicate that AGB in Yogyakarta is most accurately estimated based on the synergy of optical and radar satellite images. Numéro de notice : A2022-049 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2020.1726507 Date de publication en ligne : 13/02/2020 En ligne : https://doi.org/10.1080/10106049.2020.1726507 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99440 [article]

Unprecedented pluri-decennial increase in the growing stock of French forests is persistent and dominated by private broadleaved forests / Jean-Daniel Bontemps in Annals of Forest Science [en ligne], vol 77 n° 4 (December 2020)  

Public [article]  inAnnals of Forest Science [en ligne] > vol 77 n° 4 (December 2020) . - n° 98 Titre : Unprecedented pluri-decennial increase in the growing stock of French forests is persistent and dominated by private broadleaved forests Type de document : Article/Communication Auteurs : Jean-Daniel Bontemps , Auteur ; Anaïs Denardou-Tisserand , Auteur ; Jean-Christophe Hervé (1961-2017) , Auteur ; Jean Bir , Auteur ; Jean-Luc Dupouey, Auteur Année de publication : 2020 Projets : ARBRE / AgroParisTech Article en page(s) : n° 98 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] bois sur pied [Termes IGN] changement d'utilisation du sol [Termes IGN] forêt de feuillus [Termes IGN] forêt privée [Termes IGN] inventaire forestier national (données France) [Termes IGN] modèle de régression [Termes IGN] politique forestière [Termes IGN] puits de carbone [Termes IGN] série temporelle [Termes IGN] surface forestière [Vedettes matières IGN] Economie forestière Résumé : (auteur) Key message: French forests exhibit the fastest relative changes across Europe. Growing stock increases faster than area, and is greatest in low-stocked private broadleaved forests. Past areal increases and current GS levels show positive effects on GS expansion, with GS increases hence expected to persist. Context: Strong increases in growing stocks (GS) of European forests for decades remain poorly understood and of unknown duration. French forests showing the greatest relative changes across Europe form the investigated case study. Aims: The magnitudes of net area, GS, and GS density (GSD) changes were evaluated across forest categories reflecting forest policy and land-use drivers. The roles of forest areal changes, GS and GSD levels on GS changes were investigated. Methods: National Forest Inventory data were used to produce time series of area, GS and GSD across forest categories over 1976–2014, and exploratory causal models of GS changes. Results: GS (+ 57%) increased three times faster than area, highlighting an advanced stage in the forest transition. Low-stocked private forests exhibited strong changes in GS/GSD, greatest in private broadleaved forests, stressing the contribution of returning forests on abandoned lands. Regression models demonstrated positive effects of both past areal increases and current GS, on GS expansion. Conclusion: Aerial C-sink in French forests is expected to persist in future decades. Numéro de notice : A2020-647 Affiliation des auteurs : LIF+Ext (2020- ) Autre URL associée : vers HAL Thématique : FORET Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1007/s13595-020-01003-6 Date de publication en ligne : 12/10/2020 En ligne : https://doi.org/10.1007/s13595-020-01003-6 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96075 [article]

Ancient forest statistics provide centennial perspective over the status and dynamics of forest area in France / Timothée Audinot in Annals of Forest Science [en ligne], vol 77 n° 3 (September 2020)  

Public [article]  inAnnals of Forest Science [en ligne] > vol 77 n° 3 (September 2020) . - 24 p. Titre : Ancient forest statistics provide centennial perspective over the status and dynamics of forest area in France Type de document : Article/Communication Auteurs : Timothée Audinot , Auteur ; Holger Wernsdörfer, Auteur ; Jean-Daniel Bontemps , Auteur Année de publication : 2020 Projets : ARBRE / AgroParisTech Article en page(s) : 24 p. Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] analyse diachronique [Termes IGN] carte forestière [Termes IGN] changement d'utilisation du sol [Termes IGN] forêt de haute futaie [Termes IGN] forêt privée [Termes IGN] forêt publique [Termes IGN] France (administrative) [Termes IGN] politique forestière [Termes IGN] surface forestière [Termes IGN] taillis [Vedettes matières IGN] Inventaire forestier Résumé : (auteur) Key message: Centenary forest statistics informing major attributes of French forests were digitized, checked for consistency, and used to infer forest dynamics. Comparison to forest inventory data highlights increases in forest area and tree diversity, and substantial maturation of forests. Dataset access at https://doi.org/10.5281/zenodo.3739458 Context: The history of European forest dynamic remains fragmental. In France, the Daubrée statistics (1908) and agricultural statistics (1892, 1929) formed fundamental material to fill this gap. Aims: Release, test, and summarize the digitalized dataset. Analyze long-term forest changes in forest area, composition, and structure. Methods: Primary data on forest area across NUTS-3 geographic units, split by forest management and ownership categories and dominating tree species (Daubrée), were digitized and cross-compared. Centennial changes in forest attributes were assessed from modern forest inventory data. Results: Cross-comparison revealed: (1) strong temporal consistency in forest changes over time, (2) systematic and interpretable biases in ownership/management categories between Daubrée and agricultural statistics. Strong shift from coppices to high forests, increased prevalence of private ownership, and constant proportion of broadleaf- and conifer-dominated forests were highlighted, with increased tree species diversity at country scale. Conclusion: Ancient statistics are shown to play a major role in retrospective land-use and forest policy analysis. Numéro de notice : A2020-593 Affiliation des auteurs : LIF+Ext (2012-2019) Autre URL associée : vers HAL ouvert Thématique : FORET Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1007/s13595-020-00987-5 Date de publication en ligne : 05/08/2020 En ligne : https://doi.org/10.1007/s13595-020-00987-5 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95928 [article]

Modelling forest canopy gaps using LiDAR-derived variables / Leighton Lombard in Geocarto international, vol 34 n° 2 ([01/02/2019])  

Public [article]  inGeocarto international > vol 34 n° 2 [01/02/2019] . - pp 179 - 193 Titre : Modelling forest canopy gaps using LiDAR-derived variables Type de document : Article/Communication Auteurs : Leighton Lombard, Auteur ; Riyad Ismael, Auteur ; Nitesh Poona, Auteur Année de publication : 2019 Article en page(s) : pp 179 - 193 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie [Termes IGN] analyse d'image orientée objet [Termes IGN] croissance des arbres [Termes IGN] données lidar [Termes IGN] données localisées 3D [Termes IGN] Eucalyptus grandis [Termes IGN] forêt privée [Termes IGN] hauteur des arbres [Termes IGN] inventaire forestier (techniques et méthodes) [Termes IGN] modèle numérique de surface de la canopée Résumé : (auteur) Remote sensing has revolutionized forest management and has been widely employed to model canopy gaps. In this study, a canopy height model (CHM) and an intensity raster (IR) derived from light detection and ranging (LiDAR) data were used to model canopy gaps within a four-year-old Eucalyptus grandis forest using an object-based image analysis (OBIA) approach. Model thematic accuracies using the CHM, intensity raster and combined data set (CHM and IR) were all above 90%, with KHAT values ranging from 0.88 to 0.96. Independent test thematic accuracies were also above 90%, with KHAT values ranging from 0.82 to 0.91. A comparative area-based assessment yielded accuracies ranging from 70 to 90%, with the highest accuracies achieved using the combined data set. The results of this study show that using a CHM and intensity raster, and an OBIA approach, provides a viable framework to accurately detect and delineate canopy gaps within a commercial forest environment. Numéro de notice : A2019-221 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2017.1377775 Date de publication en ligne : 12/10/2017 En ligne : https://doi.org/10.1080/10106049.2017.1377775 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=92739 [article]

The German Forest Strategy 2020: Target achievement control using national forest inventory results / Martin Lorenz in Annals of forest research, vol 61 n° 2 (July - December 2018)  

Public [article]  inAnnals of forest research > vol 61 n° 2 (July - December 2018) . - pp 129 - 146 Titre : The German Forest Strategy 2020: Target achievement control using national forest inventory results Type de document : Article/Communication Auteurs : Martin Lorenz, Auteur ; Hermann Englert, Auteur ; Matthias Dieter, Auteur Année de publication : 2018 Article en page(s) : pp 129 - 146 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] acteurs de la filière bois-forêt [Termes IGN] Allemagne [Termes IGN] arbre caducifolié [Termes IGN] conservation des ressources forestières [Termes IGN] croissance des arbres [Termes IGN] écosystème forestier [Termes IGN] forêt privée [Termes IGN] gestion forestière [Termes IGN] inventaire forestier étranger (données) [Termes IGN] Pinophyta [Termes IGN] politique forestière [Termes IGN] puits de carbone [Termes IGN] série temporelle [Termes IGN] service écosystémique [Termes IGN] volume en bois [Vedettes matières IGN] Inventaire forestier Résumé : (auteur) In the year 2011, the German Federal Government adopted its Forest Strategy 2020. This strategy includes 60 goal formulations in nine action fields. The present paper analyses to which extent the results of the German National Forest Inventory (BWI) prove achievements of those of the 60 goals, which are quantitatively verifiable. The results reveal that forestry in Germany in general meets its own standard of multi-functionality, securing that forests fulfil manifold demands of the society. However, while the objectives of nature and climate protection are on track for being achieved, the prospects for objectives related to employment, income and value added are less encouraging. Total forest area and forest growth are increasing, forests currently constitute a carbon sink, and the naturalness and structural diversity of forests are growing. Also the high but sustainable use of the wood fosters currently the income of and employment in forest enterprises and timber industries. But the ongoing regeneration of forest stands predominantly with deciduous tree species is expected to cause a long-term lack of faster growing and higher valuated coniferous stands. The resulting lack of highly demanded softwood of small or medium-sized diameters will raise problems to timber industries. Moreover, shrinking timber production due to a decreasing share of coniferous forests has adverse consequences not only from the economic point of view. It will also decrease the climate-friendly use of wood products, in particular due to the foregone substitution effect. The results of the study also show that BWI is an indispensable source of information for forest politics and forest science particularly in view of its long-term time series. The preservations of time series must be kept in mind whenever changes in the methods of BWI are considered. Numéro de notice : A2018-648 Affiliation des auteurs : non IGN Thématique : FORET Nature : Article DOI : 10.15287/afr.2018.1185 Date de publication en ligne : 31/12/2018 En ligne : https://doi.org/10.15287/afr.2018.1185 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=93346 [article]

Expansion tendancielle du stock de bois dans les forêts françaises (1976–2015) [diaporama] / Jean-Daniel Bontemps (2018)  

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Forêts, l'appel 2.0 du SIG / Fanny Perrin d'Arloz in SIGmag, n° 12 (mars 2017)

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Land ownership affects diversity and abundance of tree microhabitats in deciduous temperate forests / Franz Johann in Forest ecology and management, vol 380 (15 november 2016)  

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Structure de la propriété forestière privée en 2012 / François Didolot in Forêt entreprise, n° 222 (mai-juin 2015)

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Le CNPF et l’IGN consolident leurs connaissances de la forêt privée par un accord de collaboration / Centre national de la propriété forestière (Paris, France) in Forêt entreprise, n° 221 (mars/avril 2015)

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Encourager les forestiers à gérer leurs forêts / Luc Bouvarel in Forêts de France, n° 532 (avril 2010)

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Morcellement et sous-exploitation / Luc Bouvarel in Forêts de France, n° 529 (décembre 2009)

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Cartographie du potentiel de production de truffes en milieu naturel : mise au point d'une méthode adaptée à la forêt privée du mont Ventoux / Pierre-Jean Moundy ; Sébastien Diette in Revue forestière française, vol 61 n° 6 (novembre - décembre 2009)  

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La forêt privée : force de propositions / Luc Bouvarel in Forêts de France, n° 528 (novembre 2009)

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Corse : quelles perspectives pour la forêt privée ? / Bernard Rérat in Forêts de France, n° 527 (octobre 2009)

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