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Understanding the temporal dimension of the red-edge spectral region for forest decline detection using high-resolution hyperspectral and Sentinel-2a imagery / Pablo J. Zarco-Tejada in ISPRS Journal of photogrammetry and remote sensing, vol 137 (March 2018)
[article]
Titre : Understanding the temporal dimension of the red-edge spectral region for forest decline detection using high-resolution hyperspectral and Sentinel-2a imagery Type de document : Article/Communication Auteurs : Pablo J. Zarco-Tejada, Auteur ; A. Hornero, Auteur ; Rocío Hernández-Clemente, Auteur ; P.S.A. Beck, Auteur Année de publication : 2018 Article en page(s) : pp 134 - 148 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] bande rouge
[Termes IGN] défoliation
[Termes IGN] données spatiotemporelles
[Termes IGN] image hyperspectrale
[Termes IGN] image Sentinel-MSI
[Termes IGN] modèle de transfert radiatif
[Termes IGN] Normalized Difference Vegetation Index
[Termes IGN] Pinus (genre)
[Termes IGN] santé des forêts
[Termes IGN] teneur en chlorophylle des feuillesRésumé : (Auteur) The operational monitoring of forest decline requires the development of remote sensing methods that are sensitive to the spatiotemporal variations of pigment degradation and canopy defoliation. In this context, the red-edge spectral region (RESR) was proposed in the past due to its combined sensitivity to chlorophyll content and leaf area variation. In this study, the temporal dimension of the RESR was evaluated as a function of forest decline using a radiative transfer method with the PROSPECT and 3D FLIGHT models. These models were used to generate synthetic pine stands simulating decline and recovery processes over time and explore the temporal rate of change of the red-edge chlorophyll index (CI) as compared to the trajectories obtained for the structure-related Normalized Difference Vegetation Index (NDVI). The temporal trend method proposed here consisted of using synthetic spectra to calculate the theoretical boundaries of the subspace for healthy and declining pine trees in the temporal domain, defined by CItime=n/CItime=n+1 vs. NDVItime=n/NDVItime=n+1. Within these boundaries, trees undergoing decline and recovery processes showed different trajectories through this subspace. The method was then validated using three high-resolution airborne hyperspectral images acquired at 40 cm resolution and 260 spectral bands of 6.5 nm full-width half-maximum (FWHM) over a forest with widespread tree decline, along with field-based monitoring of chlorosis and defoliation (i.e., ‘decline’ status) in 663 trees between the years 2015 and 2016. The temporal rate of change of chlorophyll vs. structural indices, based on reflectance spectra extracted from the hyperspectral images, was different for trees undergoing decline, and aligned towards the decline baseline established using the radiative transfer models. By contrast, healthy trees over time aligned towards the theoretically obtained healthy baseline. The applicability of this temporal trend method to the red-edge bands of the MultiSpectral Imager (MSI) instrument on board Sentinel-2a for operational forest status monitoring was also explored by comparing the temporal rate of change of the Sentinel-2-derived CI over areas with declining and healthy trees. Results demonstrated that the Sentinel-2a red-edge region was sensitive to the temporal dimension of forest condition, as the relationships obtained for pixels in healthy condition deviated from those of pixels undergoing decline. Numéro de notice : A2018-079 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2018.01.017 Date de publication en ligne : 17/02/2018 En ligne : https://doi.org/10.1016/j.isprsjprs.2018.01.017 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=89441
in ISPRS Journal of photogrammetry and remote sensing > vol 137 (March 2018) . - pp 134 - 148[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-2018031 RAB Revue Centre de documentation En réserve L003 Disponible 081-2018033 DEP-EXM Revue LASTIG Dépôt en unité Exclu du prêt 081-2018032 DEP-EAF Revue Nancy Dépôt en unité Exclu du prêt Estimation of forest aboveground biomass from HJ1B imagery using a canopy reflectance model and a forest growth model / Xinyun Wang in Geocarto international, vol 33 n° 2 (February 2018)
[article]
Titre : Estimation of forest aboveground biomass from HJ1B imagery using a canopy reflectance model and a forest growth model Type de document : Article/Communication Auteurs : Xinyun Wang, Auteur ; Yige Guo, Auteur ; Jie He, Auteur ; Lingtong Du, Auteur ; Tianhua Hu, Auteur Année de publication : 2018 Article en page(s) : pp 148 - 162 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] biomasse aérienne
[Termes IGN] Chine
[Termes IGN] image HJ-1B
[Termes IGN] juniperus (genre)
[Termes IGN] modèle de croissance végétale
[Termes IGN] Pinophyta
[Termes IGN] Pinus (genre)
[Termes IGN] Populus (genre)
[Termes IGN] réflectance végétale
[Termes IGN] steppe
[Termes IGN] structure d'un peuplement forestier
[Termes IGN] Ulmus (genre)Mots-clés libres : stochastic Gradient boosting Résumé : (Auteur) Accurately estimating the spatial distribution of forest aboveground biomass (AGB) is important because of its carbon budget forms part of the global carbon cycle. This paper presented three methods for obtaining forest AGB based on a forest growth model, a Multiple-Forward-Mode (MFM) method and a stochastic gradient boosting (SGB) model. A Li-Strahler geometric-optical canopy reflectance model (GOMS) with the ZELIG forest growth model was run using HJ1B imagery to derive forest AGB. GOMS-ZELIG simulated data were used to train the SGB model and AGB estimation. The GOMS-ZELIG AGB estimation was evaluated for 24 field-measured data and compared against the GOMS-SGB model and GOMS-MFM biomass predictions from multispectral HJ1B data. The results show that the estimation accuracy of the GOMS-MFM model is slightly higher than that of the GOMS-SGB model. The GOMS-ZELIG and GOMS-MFM models are considerably more accurate at estimating forest AGB in arid and semiarid regions. Numéro de notice : A2018-032 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2016.1232438 En ligne : https://doi.org/10.1080/10106049.2016.1232438 Format de la ressource électronique : URL Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=89205
in Geocarto international > vol 33 n° 2 (February 2018) . - pp 148 - 162[article]Expansion tendancielle du stock de bois dans les forêts françaises (1976–2015) [diaporama] / Jean-Daniel Bontemps (2018)
Titre : Expansion tendancielle du stock de bois dans les forêts françaises (1976–2015) [diaporama] Type de document : Article/Communication Auteurs : Jean-Daniel Bontemps , Auteur ; Anaïs Denardou-Tisserand , Auteur ; Jean-Luc Dupouey, Auteur Editeur : Saint-Mandé : Institut national de l'information géographique et forestière - IGN (2012-) Année de publication : 2018 Conférence : IGN - EcoFor 2018, Colloque 60 ans d’inventaire forestier pour éclairer l’avenir 15/10/2018 16/10/2018 Paris France open access proceedings Importance : 33 p. Format : 21 x 30 cm Langues : Français (fre) Descripteur : [Termes IGN] bois sur pied
[Termes IGN] forêt alpestre
[Termes IGN] forêt de feuillus
[Termes IGN] forêt domaniale
[Termes IGN] forêt privée
[Termes IGN] grande région écologique
[Termes IGN] politique forestière
[Termes IGN] puits de carbone
[Termes IGN] résineux
[Termes IGN] ressources forestières
[Vedettes matières IGN] Inventaire forestierNuméro de notice : C2018-105 Affiliation des auteurs : LIF+Ext (2012-2019) Thématique : FORET Nature : Communication nature-HAL : ComSansActesPubliés-Unpublished DOI : sans En ligne : https://inventaire-forestier.ign.fr/IMG/pdf/02_expansion_foret_metropole_jdbonte [...] Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=97509
Titre : Forest biomass and carbon Type de document : Monographie Auteurs : Gopal Shukla, Éditeur scientifique Editeur : London [UK] : IntechOpen Année de publication : 2018 Importance : 112 p. Format : 19 x 27 cm ISBN/ISSN/EAN : 978-1-78984-362-0 Langues : Anglais (eng) Descripteur : [Termes IGN] biomasse aérienne
[Termes IGN] biomasse forestière
[Termes IGN] densité de la végétation
[Termes IGN] énergie renouvelable
[Termes IGN] gestion forestière durable
[Termes IGN] matière organique
[Termes IGN] Pinus (genre)
[Termes IGN] puits de carbone
[Termes IGN] savane
[Termes IGN] structure d'un peuplement forestier
[Termes IGN] Theobroma cacao
[Termes IGN] zone intertropicale
[Vedettes matières IGN] Ecologie forestièreRésumé : (éditeur) Forests grow and their biomass increases; they absorb carbon from the atmosphere and store it in plant tissue. Understanding the biomass of forest vegetation is essential for determining the storage of carbon in the dominant tree component and computing carbon cycling at a regional as well as global level. This book consisting of five chapters will give a comprehensive understanding of biomass production vis-à-vis carbon storage in relation to litter and nutrient dynamics of the forest by analyzing the mode and magnitude of biomass production and carbon storage as a function of various silvicultural factors. Note de contenu : 1- Effects of forest stand structure in biomass and carbon
2- Tree stock, structure and use of common woody species of a town neighboring forest reserve in Tanzania: Implication for managing carbon accumulation
3- Plant diversity, ecological services, and carbon stock assessment in cocoa agroforestry plantations of forest and savannah transitions in Cameroon
4- Effects of eucalyptus and pinus forest management on soil organic carbon in Brazilian wooded-savanna
5- Determinants and tools to evaluate the ecological sustainability of using forest biomass as an alternative energy sourceNuméro de notice : 25955 Affiliation des auteurs : non IGN Thématique : FORET Nature : Recueil / ouvrage collectif DOI : 10.5772/intechopen.69011 En ligne : https://doi.org/10.5772/intechopen.69011 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96421
Titre : Forest stand extraction: which optimal remote sensing data source(s)? Type de document : Article/Communication Auteurs : Clément Dechesne , Auteur ; Clément Mallet , Auteur ; Arnaud Le Bris , Auteur ; Valérie Gouet-Brunet , Auteur Editeur : New York : Institute of Electrical and Electronics Engineers IEEE Année de publication : 2018 Projets : HYEP / Weber, Christiane Conférence : IGARSS 2018, IEEE International Geoscience And Remote Sensing Symposium, observing, understanding and forecasting the dynamics of our planet 22/07/2018 27/07/2018 Valencia Espagne Proceedings IEEE Importance : pp 7283 - 7285 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] Abies (genre)
[Termes IGN] classification dirigée
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] Fagus (genre)
[Termes IGN] image hyperspectrale
[Termes IGN] image multibande
[Termes IGN] montagne
[Termes IGN] peuplement forestier
[Termes IGN] Picea abies
[Termes IGN] Pinus sylvestris
[Termes IGN] Pseudotsuga menziesii
[Termes IGN] Quercus (genre)
[Termes IGN] segmentation sémantique
[Termes IGN] semis de points
[Termes IGN] Vosges, massif desRésumé : (auteur) It has been now widely assessed in the literature that both multi/hyperspectral optical images and 3D lidar point clouds are necessary inputs for tree species based forest stand detection. Nevertheless, no comprehensive analysis of the genuine relevance of each data source has been performed so far: existing strategies are limited to a single spatial and spectral resolution. This paper investigates which is the optimal combination of geospatial optical images and lidar point clouds. A supervised semantic segmentation framework is fed with various sources (multispectral satellite and airborne images, hyperspectral airborne images, low, medium and high density lidar point clouds), ablation cases are defined, and the discrimination performance of several fusion schemes is assessed under a challenging mountainous area in France. Numéro de notice : C2018-049 Affiliation des auteurs : LASTIG MATIS (2012-2019) Thématique : IMAGERIE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.1109/IGARSS.2018.8518803 Date de publication en ligne : 05/11/2018 En ligne : https://doi.org/10.1109/IGARSS.2018.8518803 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=91272 Documents numériques
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