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A discriminative tensor representation model for feature extraction and classification of multispectral LiDAR data / Qingwang Wang in IEEE Transactions on geoscience and remote sensing, vol 58 n° 3 (March 2020)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 58 n° 3 (March 2020) . - pp 1568 -1586 Titre : A discriminative tensor representation model for feature extraction and classification of multispectral LiDAR data Type de document : Article/Communication Auteurs : Qingwang Wang, Auteur ; Yanfeng Gu, Auteur Année de publication : 2020 Article en page(s) : pp 1568 -1586 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie [Termes descripteurs IGN] Amérique du nord [Termes descripteurs IGN] analyse discriminante [Termes descripteurs IGN] calcul tensoriel [Termes descripteurs IGN] carte d'occupation du sol [Termes descripteurs IGN] classification multibande [Termes descripteurs IGN] classification par séparateurs à vaste marge [Termes descripteurs IGN] données lidar [Termes descripteurs IGN] données localisées 3D [Termes descripteurs IGN] état de l'art [Termes descripteurs IGN] extraction de traits caractéristiques [Termes descripteurs IGN] image multibande [Termes descripteurs IGN] modèle géométrique [Termes descripteurs IGN] semis de points [Termes descripteurs IGN] tenseur [Termes descripteurs IGN] vectorisation [Termes descripteurs IGN] voisinage (topologie) Résumé : (Auteur) Multispectral light detection and ranging (MS-LiDAR) systems open the door to the possibility in the 3-D land cover classification at a finer scale using only point cloud data. This article proposes a model based on the tensor representation for multispectral point cloud classification. The proposed method combines the 3-D local spatial structure of each multispectral point by characterizing the point with a second-order tensor. The first mode of the tensor indicates the spatial location and spectral information of each point (i.e., the row of the second-order tensor) and the second mode denotes the neighborhood geometric and spectral structures (i.e., the column of the second-order tensor). Then we develop a novel tensor manifold discriminant embedding (TMDE) algorithm to extract the geometric–spectral features for multispectral point clouds classification. TMDE solves the mapping matrices of each mode by preserving the intraclass samples’ distribution further making it more compact and maximizing the distance of different classes. Finally, the support vector machine classifier with the extracted features as input is used to implement the classification of multispectral point clouds. Experiments are conducted on two real multispectral point cloud data sets. The experimental results demonstrate that the proposed method can achieve significant improvements in classification accuracies in comparison with several state-of-the-art algorithms. Numéro de notice : A2020-086 Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2019.2947081 date de publication en ligne : 30/10/2019 En ligne : https://doi.org/10.1109/TGRS.2019.2947081 Format de la ressource électronique : URL Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=94660 [article]

Mapping precipitable water vapor time series from Sentinel-1 interferometric SAR / Pedro Mateus in IEEE Transactions on geoscience and remote sensing, vol 58 n° 2 (February 2020)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 58 n° 2 (February 2020) . - pp 1373 - 1379 Titre : Mapping precipitable water vapor time series from Sentinel-1 interferometric SAR Type de document : Article/Communication Auteurs : Pedro Mateus, Auteur ; João Catalão, Auteur ; Giovanni Nico, Auteur ; Pedro Benevides, Auteur Année de publication : 2020 Article en page(s) : pp 1373 - 1379 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications [Termes descripteurs IGN] Appalaches [Termes descripteurs IGN] cartographie [Termes descripteurs IGN] données GNSS [Termes descripteurs IGN] image Sentinel-SAR [Termes descripteurs IGN] interferométrie différentielle [Termes descripteurs IGN] itération [Termes descripteurs IGN] méthode des moindres carrés [Termes descripteurs IGN] modèle atmosphérique [Termes descripteurs IGN] optimisation (mathématiques) [Termes descripteurs IGN] phase GNSS [Termes descripteurs IGN] prévision météorologique [Termes descripteurs IGN] série temporelle [Termes descripteurs IGN] vapeur d'eau Résumé : (auteur) In this article, a methodology to retrieve the precipitable water vapor (PWV) from a differential interferometric time series is presented. We used external data provided by atmospheric weather models (e.g., ERA-Interim reanalysis) to constrain the initial state and by Global Navigation Satellite System (GNSS) to phase ambiguities elimination introduced by phase unwrapping algorithm. An iterative least-square is then used to solve the optimization problem. We applied the presented methodology to two time series of differential PWV maps estimated from synthetic aperture radar (SAR) images acquired by the Sentinel-1A, over the southwest part of the Appalachian Mountains (USA). The results were validated using an independent GNSS data set and also compared with atmospheric weather prediction data. The GNSS PWV observations show a strong correlation with the estimated PWV maps with a root-mean-square error less than 1 mm. These results are very encouraging, particularly for the meteorology community, providing crucial information to assimilate into numerical weather models and potentially improve the forecasts. Numéro de notice : A2020-098 Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2019.2946077 date de publication en ligne : 28/10/2019 En ligne : https://doi.org/10.1109/TGRS.2019.2946077 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=94672 [article]

Monitoring climate sensitivity shifts in tree-rings of Eastern Boreal North America using model-data comparison : Shifts in tree growth sensivity to climate / Clémentine Ols in Ecosystems, vol 21 n° 5 (August 2018)  

Public [article]  inEcosystems > vol 21 n° 5 (August 2018) . - pp 1042 - 1057 Titre : Monitoring climate sensitivity shifts in tree-rings of Eastern Boreal North America using model-data comparison : Shifts in tree growth sensivity to climate Type de document : Article/Communication Auteurs : Clémentine Ols , Auteur ; Martin P. Girardin, Auteur ; Annika Hofgaard, Auteur ; Yves Bergeron, Auteur ; Igor Drobyshev, Auteur Année de publication : 2018 Article en page(s) : pp 1042 - 1057 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes descripteurs IGN] Amérique du nord [Termes descripteurs IGN] analyse de sensibilité [Termes descripteurs IGN] analyse diachronique [Termes descripteurs IGN] cerne [Termes descripteurs IGN] changement climatique [Termes descripteurs IGN] dendrochronologie [Termes descripteurs IGN] forêt boréale [Termes descripteurs IGN] modèle de croissance [Termes descripteurs IGN] picea mariana [Vedettes matières IGN] Végétation et changement climatique Résumé : (auteur) The growth of high-latitude temperature-limited boreal forest ecosystems is projected to become more constrained by soil water availability with continued warming. The purpose of this study was to document ongoing shifts in tree growth sensitivity to the evolving local climate in unmanaged black spruce (Picea mariana (Miller) B.S.P.) forests of eastern boreal North America (49°N–52°N, 58°W–82°W) using a comparative study of field and modeled data. We investigated growth relationships to climate (gridded monthly data) from observed (50 site tree-ring width chronologies) and simulated growth data (stand-level forest growth model) over 1908–2013. No clear strengthening of moisture control over tree growth in recent decades was detected. Despite climate warming, photosynthesis (main driver of the forest growth model) and xylem production (main driver of radial growth) have remained temperature-limited. Analyses revealed, however, a weakening of the influence of growing season temperature on growth during the mid- to late twentieth century in the observed data, particularly in high-latitude (> 51.5°N) mountainous sites. This shift was absent from simulated data, which resulted in clear model-data desynchronization. Thorough investigations revealed that desynchronization was mostly linked to the quality of climate data, with precipitation data being of particular concern. The scarce network of weather stations over eastern boreal North America (> 51.5°N) affects the accuracy of estimated local climate variability and critically limits our ability to detect climate change effects on high-latitude ecosystems, especially at high altitudinal sites. Climate estimates from remote sensing could help address some of these issues in the future. Numéro de notice : A2018-665 Thématique : FORET Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1007/s10021-017-0203-3 date de publication en ligne : 27/11/2017 En ligne : http://dx.doi.org/10.1007/s10021-017-0203-3 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=94254 [article]

Hydrologically-driven crustal stresses and seismicity in the New Madrid Seismic Zone / Timothy J. Craig in Nature communications, vol 8 (2017)  

Public [article]  inNature communications > vol 8 (2017) . - art 2143 Titre : Hydrologically-driven crustal stresses and seismicity in the New Madrid Seismic Zone Type de document : Article/Communication Auteurs : Timothy J. Craig, Auteur ; Kristel Chanard , Auteur ; Eric Calais, Auteur Année de publication : 2017 Article en page(s) : art 2143 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de géodésie spatiale [Termes descripteurs IGN] Amérique du nord [Termes descripteurs IGN] analyse de spectre singulier [Termes descripteurs IGN] déformation de la croute terrestre [Termes descripteurs IGN] données GPS [Termes descripteurs IGN] données GRACE [Termes descripteurs IGN] eau de surface [Termes descripteurs IGN] faille géologique [Termes descripteurs IGN] levé gravimétrique [Termes descripteurs IGN] séisme [Termes descripteurs IGN] sismicité [Termes descripteurs IGN] tectonique des plaques Résumé : (auteur) The degree to which short-term non-tectonic processes, either natural and anthropogenic, influence the occurrence of earthquakes in active tectonic settings or ‘stable’ plate interiors, remains a subject of debate. Recent work in plate-boundary regions demonstrates the capacity for long-wavelength changes in continental water storage to produce observable surface deformation, induce crustal stresses and modulate seismicity rates. Here we show that a significant variation in the rate of microearthquakes in the intraplate New Madrid Seismic Zone at annual and multi-annual timescales coincides with hydrological loading in the upper Mississippi embayment. We demonstrate that this loading, which results in geodetically observed surface deformation, induces stresses within the lithosphere that, although of small amplitude, modulate the ongoing seismicity of the New Madrid region. Correspondence between surface deformation, hydrological loading and seismicity rates at both annual and multi-annual timescales indicates that seismicity variations are the direct result of elastic stresses induced by the water load. Numéro de notice : A2017-864 Thématique : POSITIONNEMENT Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1038/s41467-017-01696-w date de publication en ligne : 15/12/2017 En ligne : http://dx.doi.org/10.1038/s41467-017-01696-w Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=89865 [article]

Wireframing for interactive & web-based geographic visualization: designing the NOAA Lake Level Viewer / Robert Emmett Roth in Cartography and Geographic Information Science, Vol 44 n° 4 (July 2017)  

Public [article]  inCartography and Geographic Information Science > Vol 44 n° 4 (July 2017) . - pp 338 - 357 Titre : Wireframing for interactive & web-based geographic visualization: designing the NOAA Lake Level Viewer Type de document : Article/Communication Auteurs : Robert Emmett Roth, Auteur ; David Hart, Auteur ; Rashauna Mead, Auteur ; Chloë Quinn, Auteur Année de publication : 2017 Article en page(s) : pp 338 - 357 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes descripteurs IGN] Amérique du nord [Termes descripteurs IGN] géomatique web [Termes descripteurs IGN] géovisualisation [Termes descripteurs IGN] Grands Lacs [Termes descripteurs IGN] image NOAA [Termes descripteurs IGN] interface web [Termes descripteurs IGN] maquette fonctionnelle [Termes descripteurs IGN] niveau hydrostatique [Vedettes matières IGN] Géovisualisation Résumé : (auteur) In this article, we explore the potential of wireframe design and evaluation for interactive and web-based mapping through a case study on water level visualization. Specifically, our research informed design and development of the National Oceanic & Atmospheric Administration’s (NOAA) Lake Level Viewer (http://coast.noaa.gov/llv/), an interactive and web-based geovisualization application for the Great Lakes region of North America. As part of our overall user-centered design process, we created two sets of wireframes to evaluate two aspects of the user experience: high-fidelity wireframes to illustrate the proposed representation solution using real data and low-fidelity wireframes to provide a rough sketch of the proposed interaction solution. Eighteen target users completed cognitive walkthroughs of the wireframes, with the sessions audio-recorded for subsequent transcription and qualitative data analysis. The wireframe evaluations led to a series of revisions to the functional scope and visual design of the Lake Level Viewer. The process also generated recommendations for designing water level visualizations supporting adaptive management in response to climate change as well as for leveraging wireframes in support of large-scale mapping and GIS projects. Numéro de notice : A2017-225 Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/15230406.2016.1171166 En ligne : http://dx.doi.org/10.1080/15230406.2016.1171166 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=85106 [article]

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