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Clair, B.; Arinero, R.; Leveque, G.; Ramonda, M.; Thibaut, B. |
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Title |
Imaging the mechanical properties of wood cell wall layers by atomic force modulation microscopy |
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Journal Article |
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2003 |
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IAWA Journal |
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IAWA J. |
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24 |
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3 |
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223-230 |
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wood; cell wall; mechanical properties; elastic modulus; tension wood |
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Atomic Force Microscopy in force modulation mode was used to study the elastic properties of the different fibre wall layers of the tension wood of holm oak and normal wood of boco. The method is based on the measurement of the resonance frequency of the microscope lever in contact with the sample. This frequency is related to the reduced Young modulus E* = E/(1-nu(2)) of the material, supposed to be isotropic. 'Elastic' images of the cell are obtained simultaneously with the topographic images, which allows the observation of the mechanical properties of the cells at a nanometric scale. Layers G, S-1, S-2 and ML can clearly be distinguished. By comparison with known materials an estimation of the absolute modulus is given in the range 5-20 GPa, but should be considered with caution, because the inherent anisotropy of the materials has not been taken into account. |
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Univ Montpellier 2, CNRS, UMR 5508, Lab Mecan & Genie Civil, F-34095 Montpellier, France |
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INT ASSOC WOOD ANATOMISTS |
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0928-1541 |
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ISI:000185049700003 |
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EcoFoG @ eric.marcon @ |
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270 |
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Abedini, R.; Clair, B.; Pourtahmasi, K.; Laurans, F.; Arnould, O. |
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Title |
Cell wall thickening in developing tension wood of artificially bent poplar trees |
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Journal Article |
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Year |
2015 |
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IAWA Journal |
Abbreviated Journal |
IAWA Journal |
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36 |
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1 |
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44-57 |
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developing xylem; Gelatinous layer; maturation stress; secondary wall layer; tree biomechanics |
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Trees can control their shape and resist gravity thanks to their ability to produce wood under tensile stress. This stress is known to be produced during the maturation of wood fibres but the mechanism of its generation remains unclear. This study focuses on the formation of the secondary wall in tension wood produced in artificially tilted poplar saplings. Thickness of secondary wall layer (SL) and gelatinous layer (GL) were measured from cambium to mature wood in several trees sampled at different times after tilting. Measurements on wood fibres produced before tilting show the progressive increase of secondary wall thickness during the growing season. After the tilting date, SL thickness decreased markedly from normal wood to tension wood while the total thickness increased compared to normal wood, with the development of a thick GL. However, even after GL formation, SL thickness continues to increase during the growing season. GL thickening was observed to be faster than SL thickening. The development of the unlignified GL is proposed to be a low cost, efficient strategy for a fast generation of tensile stress in broadleaved trees. © 2015 International Association of Wood Anatomists. |
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INRA, UR588 Amélioration, Génétique et Physiologie ForestièresOrléans, France |
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Export Date: 17 April 2015 |
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EcoFoG @ webmaster @ |
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596 |
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Author |
Ghislain, B.; Clair, B. |
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Title |
Diversity in the organisation and lignification of tension wood fibre walls – A review |
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Journal Article |
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2017 |
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IAWA Journal |
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38 |
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2 |
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245-265 |
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Keywords |
diversity; fibres; G-layer; lignification; multilayered tension wood fibre walls; S1 + S2 + S3 + G; Tension wood |
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Tension wood, a tissue developed by angiosperm trees to actively recover their verticality, has long been defined by the presence of an unlignified cellulosic inner layer in the cell wall of fibres, called the G-layer. Although it was known that some species have no G-layer, the definition was appropriate since it enabled easy detection of tension wood zones using various staining techniques for either cellulose or lignin. For several years now, irrespective of its anatomical structure, tension wood has been defined by its high mechanical internal tensile stress. This definition enables screening of the diversity of cell walls in tension wood fibres. Recent results obtained in tropical species with tension wood with a delay in the lignification of the G-layer opened our eyes to the effective presence of large amounts of lignin in the G-layer of some species. This led us to review older literature mentioning the presence of lignin deposits in the G-layer and give them credit. Advances in the knowledge of tension wood fibres allow us to reconsider some previous classifications of the diversity in the organisation of the fibre walls of the tension wood. © 2017 International Association of Wood Anatomists. |
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CNRS, UMR EcoFoG, AgroParisTech, Cirad, INRA, Université des Antilles, Université de Guyane, Kourou, France |
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Export Date: 2 September 2017 |
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EcoFoG @ webmaster @ |
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763 |
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Bodin, S.C.; Scheel-Ybert, R.; Beauchene, J.; Molino, J.-F.; Bremond, L. |
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Title |
CharKey: An electronic identification key for wood charcoals of French Guiana |
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Journal Article |
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2019 |
Publication |
IAWA Journal |
Abbreviated Journal |
Iawa J. |
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40 |
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1 |
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75-91 |
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anthracology; Charcoal anatomy; computeraided identification; Note: Supplementary material can be accessed in the online edition of this journal via brill.com/iawa.; tropical flora; Xper 2 |
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Tropical tree floras are highly diverse and many genera and species share similar anatomical patterns, making the identification of tropical wood charcoal very difficult. Appropriate tools to characterize charcoal anatomy are thus needed to facilitate and improve identification in such species-rich areas. This paper presents the first computer-aided identification key designed for charcoals from French Guiana, based on the wood anatomy of 507 species belonging to 274 genera and 71 families, which covers respectively 28%, 67% and 86% of the tree species, genera and families currently listed in this part of Amazonia. Species of the same genus are recorded together except those described under a synonym genus in Détienne et al. (1982) that were kept separately. As a result, the key contains 289 'items' and mostly aims to identify charcoals at the genus level. It records 26 anatomical features leading to 112 feature states, almost all of which are illustrated by SEM photographs of charcoal. The descriptions were mostly taken from Détienne et al.'s guidebook on tropical woods of French Guiana (1982) and follow the IAWA list of microscopic features for hardwood identification (Wheeler et al. 1989). Some adjustments were made to a few features and those that are unrelated to charcoal identification were excluded. The whole tool, named CharKey, contains the key itself and the associated database including photographs. It can be downloaded on Figshare at https://figshare.com/s/d7d40060b53d2ad60389 (doi: 10.6084/m9.figshare.6396005). CharKey is accessible using the free software Xper 2 , specifically conceived for taxonomic description and computer aided-identification. |
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Ecole Pratique des Hautes Etudes, PSL Research University, Paris, France |
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Brill Academic Publishers |
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09281541 (Issn) |
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EcoFoG @ webmaster @ |
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864 |
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Author |
Ghislain, B.; Engel, J.; Clair, B.; Donaldson, L.; Baas, P. |
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Title |
Diversity of anatomical structure of tension wood among 242 tropical tree species |
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Journal Article |
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2019 |
Publication |
IAWA Journal |
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40 |
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4 |
Pages |
765-784 |
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Angiosperm trees produce tension wood to actively control their vertical position. Tension wood has often been characterised by the presence of an unlignified inner fibre wall layer called the G-layer. Using this definition, previous reports indicate that only one-third of all tree species have tension wood with G-layers. Here we aim to (i) describe the large diversity of tension wood anatomy in tropical tree species, taking advantage of the recent understanding of tension wood anatomy and (ii) explore any link between this diversity and other ecological traits of the species. We sampled tension wood and normal wood in 432 trees from 242 species in French Guiana. The samples were observed using safranin and astra blue staining combined with optical microscopy. Species were assigned to four anatomical groups depending on the presence/absence of G-layers, and their degree of lignification. The groups were analysed for functional traits including wood density and light preferences. Eighty-six% of the species had G-layers in their tension wood which was lignified in most species, with various patterns of lignification. Only a few species did not have G-layers. We found significantly more species with lignified G-layers among shade-tolerant and shade-demanding species as well as species with a high wood density. Our results bring up-to-date the incidence of species with/without G-layers in the tropical lowland forest where lignified G-layers are the most common anatomy of tension wood. Species without G-layers may share a common mechanism with the bark motor taking over the wood motor. We discuss the functional role of lignin in the G-layer. |
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Brill |
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Leiden, The Netherlands |
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EcoFoG @ webmaster @ |
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903 |
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Hamadi, A.; Borderies, P.; Albinet, C.; Koleck, T.; Villard, L.; Ho Tong Minh, D.; Le Toan, T.; Burban, B. |
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Temporal coherence of tropical forests at P-band: Dry and rainy seasons |
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Journal Article |
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2015 |
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IEEE Geoscience and Remote Sensing Letters |
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IEEE Geosci. Remote Sens. Lett. |
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12 |
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3 |
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557-561 |
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Biomass mission; forest scattering; ground-based experiment; P-band; range impulse response; temporal coherence |
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In this letter, the temporal coherence of tropical forest scattering at P-band is addressed by means of a ground-based experiment. The study is based on the TropiScat campaign in French Guiana, designed to support the Biomass mission, which will be the ESA 7th Earth Explorer mission. For Biomass, temporal coherence is a crucial parameter for coherent processing of polarimetric synthetic aperture radar (SAR) interferometry and SAR tomography in repeat-pass acquisitions. During the experiment, data were continuously collected for six months during both the rainy and dry seasons. For the rain-free days in both seasons, the coherence exhibits a daily cycle showing a high decorrelation during daytime, which is likely due to motion in the canopy. Up to a 20-day baseline, the coherence is much higher in the dry season than in the rainy season (> 0.8). From 20 to 40 days, it presents the same order of magnitude in both seasons [0.6, 0.7]. For larger temporal baselines, it becomes lower in the dry season. The results can be used to assess the long-term coherence of repeat-pass observations over a tropical forest. However, an extension of this study to several years and over other forest spots would be necessary to draw more general conclusions. |
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EcoFogKourou, France |
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Institute of Electrical and Electronics Engineers Inc. |
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1545598x (Issn) |
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Export Date: 21 October 2014; Correspondence Address: Hamadi, A.; Centre d'Etudes Spatiales de la BiosphèreFrance; Funding Details: ESA, European Space Agency |
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EcoFoG @ webmaster @ |
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563 |
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Aubry-Kientz, Mélaine ; Laybros, Anthony ; Weinstein, Ben ; Ball, James G. C. ; Jackson, Toby ; Coomes, David ; Vincent, Grégoire |
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Multisensor data fusion for improved segmentation of individual tree crowns in dense tropical forests |
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Journal Article |
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2021 |
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IEEE Journal of Selected topics in Applied Earth Observations and Remote Sensing |
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14 |
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3927-3936 |
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Automatic tree crown segmentation from remote sensing data is especially challenging in dense, diverse, and multilayered tropical forest canopies, and tracking mortality by this approach is even more difficult. Here, we examine the potential for combining airborne laser scanning (ALS) with multispectral and hyperspectral data to improve the accuracy of tree crown segmentation at a study site in French Guiana. We combined an ALS point cloud clustering method with a spectral deep learning model to achieve 83% accuracy at recognizing manually segmented reference crowns (with congruence >0.5). This method outperformed a two-step process that involved clustering the ALS point cloud and then using the logistic regression of hyperspectral distances to correct oversegmentation. We used this approach to map tree mortality from repeat surveys and show that the number of crowns identified in the first that intersected with height loss clusters was a good estimator of the number of dead trees in these areas. Our results demonstrate that multisensor data fusion improves the automatic segmentation of individual tree crowns and presents a promising avenue to study forest demography with repeated remote sensing acquisitions. |
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IEEE |
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EcoFoG @ webmaster @ |
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1008 |
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Campillo, F.; Rossi, V. |
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Title |
Convolution Particle Filter for Parameter Estimation in General State-Space Models |
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2009 |
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IEEE Transactions on Aerospace and Electronic Systems |
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IEEE Trans. Aerosp. Electron. Syst. |
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45 |
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3 |
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1063-1072 |
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The state-space modeling of partially observed dynamical systems generally requires estimates of unknown parameters. The dynamic state vector together with the static parameter vector can be considered as an augmented state vector. Classical filtering methods, such as the extended Kalman filter (EKF) and the bootstrap particle filter (PF), fail to estimate the augmented state vector. For these classical filters to handle the augmented state vector, a dynamic noise term should be artificially added to the parameter components or to the deterministic component of the dynamical system. However, this approach degrades the estimation performance of the filters. We propose a variant of the PF based on convolution kernel approximation techniques. This approach is tested on a simulated case study. |
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IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
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0018-9251 |
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ISI:000270225500017 |
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EcoFoG @ eric.marcon @ |
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194 |
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Dubois-Fernandez, P.C.; Le Toan, T.; Daniel, S.; Oriot, H.; Chave, J.; Blanc, L.; Villard, L.; Davidson, M.W.J.; Petit, M. |
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The tropiSAR airborne campaign in French Guiana: Objectives, description, and observed temporal behavior of the backscatter signal |
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2012 |
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IEEE Transactions on Geoscience and Remote Sensing |
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IEEE Trans Geosci Remote Sens |
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50 |
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8 |
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3228-3241 |
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Forestry; interferometry; polarimetric synthetic aperture radar |
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The TropiSAR campaign has been conducted in August 2009 in French Guiana with the ONERA airborne radar system SETHI. The main objective of this campaign was to collect data to support the Phase A of the 7th Earth Explorer candidate mission, BIOMASS. Several specific questions needed to be addressed to consolidate the mission concept following the Phase 0 studies, and the data collection strategy was constructed accordingly. More specifically, a tropical forest data set was required in order to provide test data for the evaluation of the foreseen inversion algorithms and data products. The paper provides a description of the resulting data set which is now available through the European Space Agency website under the airborne campaign link. First results from the TropiSAR database analysis are presented with two in-depth analyses about both the temporal radiometric variation and temporal coherence at P-band. The temporal variations of the backscatter values are less than 0.5 dB throughout the campaign, and the coherence values are observed to stay high even after 22 days. These results are essential for the BIOMASS mission. The observed temporal stability of the backscatter is a good indicator of the expected robustness of the biomass estimation in tropical forests, from cross-polarized backscatter values as regarding environmental changes such as soil moisture. The high temporal coherence observed after a 22-day period is a prerequisite for SAR Polarimetric Interferometry and Tomographic applications in a single satellite configuration. The conclusion then summarizes the paper and identifies the next steps in the analysis. © 2012 IEEE. |
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Institut de Recherche Pour le Développement, 31062 Toulouse, France |
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01962892 (Issn) |
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Export Date: 9 August 2012; Source: Scopus; Art. No.: 6146421; Coden: Igrsd; doi: 10.1109/TGRS.2011.2180728; Language of Original Document: English; Correspondence Address: Dubois-Fernandez, P.C.; Office National d'Études et de Recherches Aérospatiales, Department of Electromagnetism and Radarh, 91761 Palaiseau, France; email: pdubois@onera.fr |
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EcoFoG @ webmaster @ |
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419 |
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Essebtey, Salma El Idrissi ; Villard, Ludovic ; Borderies, Pierre ; Koleck, Thierry ; Burban, Benoït ; Le Toan, Thuy |
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Title |
Long-Term Trends of P-Band Temporal Decorrelation Over a Tropical Dense Forest-Experimental Results for the BIOMASS Mission |
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Journal Article |
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2021 |
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IEEE Transactions on Geoscience and Remote Sensing |
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60 |
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1-15 |
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Fostered by the upcoming BIOMASS mission, this article explores long-term trends of P-band temporal decorrelation over a tropical forest due to a time series of 617 days acquired during the TropiScat-2 experiment. The interest in this unique time series is twofold. First, it provides consistent statistics to monitor the yearly evolution of temporal coherences according to specific time scales of the BIOMASS tomographic and interferometric phases. Second, it provides key insights to explore new processing approaches with the combination of data from different orbit directions (ascending/descending) and different mission cycles separated by about seven months according to the current acquisition plan. For the first time, this study shows that 18-day coherences (corresponding to the time interval between the first and last acquisitions of the BIOMASS tomographic processing) can vary significantly according to rainy and dry seasons (medians from 0.3 to 0.9). The extension to time intervals of up to 90 days within both seasons and over two consecutive years puts forward the key role of the typical sporadic rainfalls occurring during dry periods in tropical rainforests, with a stronger impact on temporal coherence evolution compared to the more reproducible rainy seasons. Furthermore, outstanding values significantly above zero have been obtained for the 7- and 14-month coherences (medians of 0.35 and 0.2, respectively), opening the way to new methods of change detection. Overall, this study highlights the role of P-band temporal decorrelation not only as a disturbance factor for coherent applications but also as a relevant indicator of forest changes. |
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Institute of Electrical and Electronics Engineers |
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EcoFoG @ webmaster @ |
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