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Quantitative assessment of meteorological and tropospheric Zenith Hydrostatic Delay models / Di Zhang in Advances in space research, vol 58 n° 6 (September 2016)
[article]
Titre : Quantitative assessment of meteorological and tropospheric Zenith Hydrostatic Delay models Type de document : Article/Communication Auteurs : Di Zhang, Auteur ; Jiming Guo, Auteur ; Ming Chen, Auteur ; Junbo Shi, Auteur ; Lv Zhou, Auteur Année de publication : 2016 Article en page(s) : pp 1033 - 1043 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] analyse comparative
[Termes IGN] erreur systématique
[Termes IGN] évaluation
[Termes IGN] modèle atmosphérique
[Termes IGN] modèle numérique
[Termes IGN] radiosondage
[Termes IGN] retard troposphérique
[Termes IGN] retard troposphérique zénithal
[Vedettes matières IGN] Traitement de données GNSSRésumé : (auteur) Tropospheric delay has always been an important issue in GNSS/DORIS/VLBI/InSAR processing. Most commonly used empirical models for the determination of tropospheric Zenith Hydrostatic Delay (ZHD), including three meteorological models and two empirical ZHD models, are carefully analyzed in this paper. Meteorological models refer to UNB3m, GPT2 and GPT2w, while ZHD models include Hopfield and Saastamoinen. By reference to in-situ meteorological measurements and ray-traced ZHD values of 91 globally distributed radiosonde sites, over a four-years period from 2010 to 2013, it is found that there is strong correlation between errors of model-derived values and latitudes. Specifically, the Saastamoinen model shows a systematic error of about −3 mm. Therefore a modified Saastamoinen model is developed based on the “best average” refractivity constant, and is validated by radiosonde data. Among different models, the GPT2w and the modified Saastamoinen model perform the best. ZHD values derived from their combination have a mean bias of −0.1 mm and a mean RMS of 13.9 mm. Limitations of the present models are discussed and suggestions for further improvements are given. Numéro de notice : A2016-593 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.asr.2016.05.055 En ligne : http://dx.doi.org/10.1016/j.asr.2016.05.055 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=81750
in Advances in space research > vol 58 n° 6 (September 2016) . - pp 1033 - 1043[article]Accuracy assessment of NOAA coastal change analysis program 2006 - 2010 land cover and land cover change data / John W. McCombs in Photogrammetric Engineering & Remote Sensing, PERS, vol 82 n° 9 (September 2016)
[article]
Titre : Accuracy assessment of NOAA coastal change analysis program 2006 - 2010 land cover and land cover change data Type de document : Article/Communication Auteurs : John W. McCombs, Auteur ; Shan G. Burkhalter, Auteur ; Christopher D. Robinson, Auteur Année de publication : 2016 Article en page(s) : pp 711 - 718 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photo-interprétation
[Termes IGN] analyse diachronique
[Termes IGN] couvert végétal
[Termes IGN] détection de changement
[Termes IGN] Etats-Unis
[Termes IGN] image Landsat
[Termes IGN] littoral
[Termes IGN] niveau d'analyseRésumé : (Auteur) A new approach to locating accuracy assessment sample units was used to quantify 2010 land cover accuracy, in addition to being able to make statements about 2006-2010 land cover change mapping accuracy for National Oceanic and Atmospheric Administration (NOAA) Coastal Change Analysis Program (C-CAP) data. Three customized tiers of sampling strata were created, as discussed, to meet these goals. Stratified random sampling was employed in each stratum with a six out of nine pixel-homogeneity criteria (different from the final minimum mapping unit) required for each sampling unit. Accuracy was assessed for nine regions in the coastal United States with overall accuracy ranging from 82.3 percent to 85.6 percent. Binary change was mapped with 88.7 percent accuracy, with the largest error being errors of commission (71.2 percent user accuracy). This sampling design also allowed for the identification of 137 locations where true change was not mapped, allowing for statements to be made about missed change. Numéro de notice : A2016-741 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : 10.14358/PERS.82.9.711 En ligne : https://doi.org/10.14358/PERS.82.9.711 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=82277
in Photogrammetric Engineering & Remote Sensing, PERS > vol 82 n° 9 (September 2016) . - pp 711 - 718[article]A conventional value for the geoid reference potential W0 / L. Sánchez in Journal of geodesy, vol 90 n° 9 (September 2016)
[article]
Titre : A conventional value for the geoid reference potential W0 Type de document : Article/Communication Auteurs : L. Sánchez, Auteur ; Robert Cunderlik, Auteur ; N. Dayoub, Auteur ; et al., Auteur Année de publication : 2016 Article en page(s) : pp 815 - 835 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géodésie physique
[Termes IGN] champ de pesanteur terrestre
[Termes IGN] données GOCE
[Termes IGN] données GRACE
[Termes IGN] force de gravitation
[Termes IGN] géoïde terrestre
[Termes IGN] potentiel de pesanteur terrestre
[Termes IGN] surface de la mer
[Termes IGN] télémétrie laser sur satelliteRésumé : (auteur) W0 is defined as the potential value of a particular level surface of the Earth’s gravity field called the geoid. Since the most accepted definition of the geoid is understood to be the equipotential surface that coincides with the worldwide mean ocean surface, a usual approximation of W0 is the averaged potential value WS at the mean sea surface. In this way, the value of W0 depends not only on the Earth’s gravity field modelling, but also on the conventions defining the mean sea surface. W0 computations performed since 2005 demonstrate that current published estimations differ by up to −2.6 m2 s−2 (corresponding to a level difference of about 27 cm), which could be caused by the differences in the treatment of the input data. The main objective of this study is to perform a new W0 estimation relying on the newest gravity field and sea surface models and applying standardised data and procedures. This also includes a detailed description of the processing procedure to ensure the reproducibility of the results. The following aspects are analysed in this paper: (1) sensitivity of the W0 estimation to the Earth’s gravity field model (especially omission and commission errors and time-dependent Earth’s gravity field changes); (2) sensitivity of the W0 estimation to the mean sea surface model (e.g., geographical coverage, time-dependent sea surface variations, accuracy of the mean sea surface heights); (3) dependence of the W0 empirical estimation on the tide system; and (4) weighted computation of the W0 value based on the input data quality. Main conclusions indicate that the satellite-only component (n=200) of a static (quasi-stationary) global gravity model is sufficient for the computation of W0. This model should, however, be based on a combination of, at least, satellite laser ranging (SLR), GRACE and GOCE data. The mean sea surface modelling should be based on mean sea surface heights referring to a certain epoch and derived from a standardised multi-mission cross-calibration of several satellite altimeters. We suggest that the uncertainties caused by geographically correlated errors, including shallow waters in coastal areas and sea water ice content at polar regions should be considered in the computation of W0 by means of a weighed adjustment using the inverse of the input data variances as a weighting factor. This weighting factor should also include the improvement provided by SLR, GRACE and GOCE to the gravity field modelling. As a reference parameter, W0 should be time-independent (i.e., quasi-stationary) and it should remain fixed for a long-term period (e.g., 20 years). However, it should have a clear relationship with the mean sea surface level (as this is the convention for the realisation of the geoid). According to this, a suitable recommendation is to adopt a potential value obtained for a certain epoch as the reference value W0 and to monitor the changes of the mean potential value at the sea surface WS. When large differences appear between W0 and WS (e.g., >±2 m2 s−2), the adopted W0 may be replaced by an updated (best estimate) value. In this paper, the potential value obtained for the epoch 2010.0 (62,636,853.4 m2 s−2) is recommended as the present best estimate for the W0 value. It differs −2.6 m2 s−2 from the so-called IERS W0 value (62,636,856.0 m2 s−2), which corresponds to the best estimate available in 1998. Numéro de notice : A2016-655 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1007/s00190-016-0913-x En ligne : http://dx.doi.org/10.1007/s00190-016-0913-x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=81857
in Journal of geodesy > vol 90 n° 9 (September 2016) . - pp 815 - 835[article]Incorporating movement in species distribution models: how do simulations of dispersal affect the accuracy and uncertainty of projections? / Paul Holloway in International journal of geographical information science IJGIS, vol 30 n° 9-10 (September - October 2016)
[article]
Titre : Incorporating movement in species distribution models: how do simulations of dispersal affect the accuracy and uncertainty of projections? Type de document : Article/Communication Auteurs : Paul Holloway, Auteur ; Jennifer A. Miller, Auteur ; Simon Gillings, Auteur Année de publication : 2016 Article en page(s) : pp 2050 - 2074 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] Aves
[Termes IGN] changement climatique
[Termes IGN] distribution spatiale
[Termes IGN] Grande-Bretagne
[Termes IGN] habitat d'espèce
[Termes IGN] incertitude des données
[Termes IGN] modèle de dispersion
[Termes IGN] système d'information géographiqueRésumé : (Auteur) Species distribution models (SDMs) are one of the most important GIScience research areas in biogeography and are the primary means by which the potential effects of climate change on species’ distributions and ranges are investigated. Dispersal is an important ecological process for species responding to changing climates, however, SDMs and their subsequent spatial products rarely reflect accessibility to any future suitable environment. Dispersal-related movement can be confounded by factors that vary across landscapes and climates, as well as within and among species, and it has therefore remained difficult to parametrise in SDMs. Here we compared 20 models that have previously been used (or have the potential to be used) to represent dispersal processes in SDM to predict future range shifts in response to climate change. We assessed the different dispersal models in terms of their accuracy at predicting future distributions, as well as the uncertainty associated with their predictions. Atlas data for 50 bird species from 1988 to 1991 in Great Britain were treated as base distributions (t1), with the species–environment relationships extrapolated (using three commonly used statistical methods) to 2008–2011 (t2). Dispersal (in the form of the 20 different models) was simulated from the base distribution (t1) to 2008–2011 (t2). The results were then combined and used to identify locations that were both abiotically suitable (obtained from the statistical methods) and accessible (obtained from the dispersal models). The accuracy of these coupled projections was assessed with the 2008–2011 atlas data (the observed t2 distribution). There was substantial variation in the accuracy of the different dispersal models, and in general, the more restrictive dispersal models (e.g. fixed rate dispersal) resulted in lower accuracy for the metrics which reward correct prediction of presences. Ensemble models of the dispersal methods (generated by combining multiple projection outcomes) were created for each species, and a new Ensemble Agreement Index (EAI), which ranges from 0 (no agreement among models) to 1 (full agreement among models) was developed to quantify uncertainty among the projections. EAI values ranged from 0.634 (some areas of disagreement and therefore medium uncertainty among dispersal models) to 0.999 (large areas of agreement and low uncertainty among dispersal models). The results of this research highlight the importance of incorporating dispersal and also illustrate that the method with which dispersal is simulated greatly impacts the projected future distribution. This has important implications for studies aimed at predicting the effects of changing environmental conditions on species’ distributions. Numéro de notice : A2016-575 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2016.1158823 En ligne : http://dx.doi.org/10.1080/13658816.2016.1158823 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=81732
in International journal of geographical information science IJGIS > vol 30 n° 9-10 (September - October 2016) . - pp 2050 - 2074[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 079-2016051 RAB Revue Centre de documentation En réserve L003 Disponible Inventaires : les bryophytes de la Réserve naturelle régionale des étangs de Mépieu / Frédéric Gourges in Lo Parvi, n° 24 (2016)
[article]
Titre : Inventaires : les bryophytes de la Réserve naturelle régionale des étangs de Mépieu Type de document : Article/Communication Auteurs : Frédéric Gourges, Auteur ; Benjamin Grange, Auteur ; Julie Delavie, Auteur Année de publication : 2016 Article en page(s) : pp 20 - 27 Note générale : bibliographie Langues : Français (fre) Descripteur : [Vedettes matières IGN] Végétation
[Termes IGN] Bryophyte
[Termes IGN] étang
[Termes IGN] flore locale
[Termes IGN] inventaire de la végétation
[Termes IGN] Isère (38)
[Termes IGN] réserve naturelleRésumé : (auteur) Un des objectifs du nouveau plan de gestion de la réserve naturelle régionale (RNR) des étangs de Mépieu, élaboré en 2013, est de développer la connaissance sur la flore bryophytique au sein de la réserve et ainsi de contribuer à la stratégie nationale d’inventaire de la biodiversité. L’inventaire des bryophytes de la RNR a été confié à l’association Botanique Gentiana dans le cadre d’un programme d’acquisition de connaissances sur la flore bryologique de l’Isère. Les prospections qui se sont déroulées en 4 sessions sur l’année 2013 ont révélé une richesse remarquable. Avec près de 120 taxons recensés, dont 5 espèces d’intérêt national ou européen et 7 espèces d’intérêt local ou régional, la réserve naturelle régionale des étangs de Mépieu apparait d’ores et déjà comme un site bryologique majeur pour la plaine au niveau du département de l’Isère. Numéro de notice : A2016--204 Affiliation des auteurs : non IGN Thématique : BIODIVERSITE/FORET Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96734
in Lo Parvi > n° 24 (2016) . - pp 20 - 27[article]Documents numériques
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Liu in International journal of geographical information science IJGIS, vol 30 n° 5-6 (May - June 2016)PermalinkUAV monitoring of a largescale environmental project / Alan Roberts in GEO: Geoconnexion international, vol 15 n° 5 (May 2016)PermalinkComparative analysis of real-time precise point positioning zenith total delay estimates / F.A. Ahmed in GPS solutions, vol 20 n° 2 (April 2016)PermalinkDasymetric mapping for an improved modeling of diseases / Gianluca Boo in Géomatique suisse, vol 114 n° 4 (avril 2016)PermalinkEau : la pression monte / Françoise de Blomac in DécryptaGéo le mag, n° 176 (avril 2016)PermalinkFaraday rotation correction for the SMAP radiometer / David M. Le Vine in IEEE Transactions on geoscience and remote sensing, vol 54 n° 4 (April 2016)PermalinkLe géomètre-expert est le mieux placé / Anne Fantuzzi in Géomètre, n° 2135 (avril 2016)PermalinkUn monument naturel modelisé / Marc Simiar in Géomètre, n° 2135 (avril 2016)PermalinkTowards sustainable mobility behavior: research challenges for location-aware information and communication technology / Paul Weiser in Geoinformatica, vol 20 n° 2 (April - June 2016)Permalink14 years of GPS tropospheric delays in the French–Italian border region : comparisons and first application in a case study / Domenico Sguerso in Applied geomatics, vol 8 n° 1 (March 2016)PermalinkAccuracy of ionospheric models used in GNSS and SBAS: methodology and analysis / Adria Rovira-Garcia in Journal of geodesy, vol 90 n° 3 (March 2016)PermalinkAn evolutionary ecology perspective to address forest pathology challenges of today and tomorrow / Marie-Laure Desprez-Loustau in Annals of Forest Science, vol 73 n° 1 (March 2016)PermalinkComparison of Satellite-Only Gravity Field Models Constructed with All and Parts of the GOCE Gravity Gradient Dataset / Sean L. Bruinsma in Marine geodesy, vol 39 n° 3-4 (March - June 2016)PermalinkDetermination of differential code biases with multi-GNSS observations / Ningbo Wang in Journal of geodesy, vol 90 n° 3 (March 2016)PermalinkEffect of tree location on mitigating parking lot insolation / Ivana Bajsanski in Computers, Environment and Urban Systems, vol 56 (March 2016)PermalinkExtreme events and climate change: the post-disaster dynamics of forest fires and forest storms in Sweden / Rolf Lidskog in Scandinavian journal of forest research, vol 31 n° 2 (March 2016)PermalinkIls vont mesurer la mer / Michel Ravelet in Géomètre, n° 2134 (mars 2016)PermalinkUn modèle global d'anticipation des mouvements de terrain / Anonyme in GEOrama, le journal d'Information du BRGM, n° 32 (mars 2016)PermalinkMulti-sensor cave detection / Tanya Slavova in GIM international [en ligne], vol 30 n° 3 (March 2016)PermalinkPossibilities of land use change analysis in a mountainous rural area: a methodological approach / Szilárd Szabó in International journal of geographical information science IJGIS, vol 30 n° 3-4 (March - April 2016)PermalinkLe territoire et ses dangers naturels : un pas vers la réconciliation / David Consuegra in Géomatique suisse, vol 114 n° 3 (mars 2016)Permalinkn° 227 - mars - mai 2016 - Thèses en géomatique 2013-2015 (Bulletin de Cartes & Géomatique) / Anne RuasPermalinkThin cloud removal based on signal transmission principles and spectral mixture analysis / Meng Xu in IEEE Transactions on geoscience and remote sensing, vol 54 n° 3 (March 2016)PermalinkToward operational compensation of ionospheric effects in SAR interferograms: the split-spectrum method / Giorgio Gomba in IEEE Transactions on geoscience and remote sensing, vol 54 n° 3 (March 2016)PermalinkUse of SAR data for detecting floodwater in urban and agricultural areas: the role of the interferometric coherence / Luca Pulvirenti in IEEE Transactions on geoscience and remote sensing, vol 54 n° 3 (March 2016)PermalinkGeo-localization using volumetric representations of overhead imagery / Ozge C. Ozcanli in International journal of computer vision, vol 116 n° 3 (February 2016)PermalinkLarge-scale road detection in forested mountainous areas using airborne topographic lidar data / António Ferraz in ISPRS Journal of photogrammetry and remote sensing, vol 112 (February 2016)PermalinkMangrove forest characterization in Southeast Côte d’Ivoire / Isimemen Osemwegie in Open journal of forestry, vol 6 n° 3 (February 2016)PermalinkA new high-precision and low-power GNSS receiver for long-term installations in remote areas / David H. Jones in Geoscientific instrumentation methods and data systems, vol 5 n° 1 (January - June 2016)PermalinkPermalinkPermalinkApplication of topo-edaphic factors and remotely sensed vegetation indices to enhance biomass estimation in a heterogeneous landscape in the Eastern Arc mountains of Tanzania / Mercy Ojoyi in Geocarto international, vol 31 n° 1 - 2 (January - February 2016)PermalinkUne application SIG pour l’optimisation de la collecte des déchets post-inondation / Serge Lhomme (2016)PermalinkCartographie de la vulnérabilité de la nappe à la pollution dans la plaine de Sidi Bel Abbes : Apport des données de télédétection et le SIG / N. Bentekhici in Bulletin des sciences géographiques, n° 30 (2015 - 2016)PermalinkChiffres clés du climat France et Monde, édition 2016 / CGDD Commissariat Général au Développement Durable (2016)PermalinkA comprehensive cartographic approach to evacuation map creation for Hurricane Ike in Galveston County, Texas / Yin-Hsuen Chen in Cartography and Geographic Information Science, Vol 43 n° 1 (January 2016)PermalinkContribution au développement d'un outil destiné à la diffusion et l'analyse de données spatiales sur les grandes rivières d'Europe / Bruno Giusti (2016)PermalinkCorrection troposphérique des interférogrammes issus d’images radar par mesures GNSS et modèle global d’atmosphère / Vincent Dubreuil (2016)PermalinkDetection and labeling of sensitive areas in hydrological cartography using vector statistics / Elia Quirós in IEEE Transactions on geoscience and remote sensing, vol 54 n° 1 (January 2016)PermalinkDétection à haute résolution spatiale de la desserte forestière en milieu montagneux par lidar aéroporté / Clément Mallet in Forêt entreprise, n° 226 (janvier/février 2016)PermalinkEffects of water and heat on growth of winter wheat in the North China Plain / Hongyan Wang in Geocarto international, vol 31 n° 1 - 2 (January - February 2016)PermalinkEst-il possible de caractériser l’état du réseau fluvial à une échelle régionale à partir de cartes topographiques ? / Samuel Dunesme (2016)PermalinkPermalinkGeovisualisation of animated tides in coastal area with an OpenSource OpenGL platform / Antoine Masse (2016)PermalinkGestion de collecte des déchets post-inondation / Oumayma Kaabi (2016)PermalinkPermalinkHydro-ecological monitoring of coastal marsh using high temporal resolution Sentinel-1 time serie / Cécile Cazals (2016)PermalinkInfluence de l’émotion dans la description d’un lieu / Aglaée Philippi (2016)PermalinkLocalisation d’une victime dans un contexte de secours en montagne, présenté à l'Atelier Traitement automatique de la parole non standard (TALPA) / Aglaée Philippi (2016)PermalinkLa maîtrise du foncier prête main-forte à la Cop 21 / Olivier Razemon in Géomètre, n° 2132 (janvier 2016)PermalinkMarine terraces and rates of vertical tectonic motion: The importance of glacio-isostatic adjustment along the Pacific coast of central North America / Alexander R. Simms in GSA bulletin, vol 128 n° 1-2 ([01/01/2016])PermalinkA merging solution for close-range DEMs to optimize surface coverage and measurement resolution / Stéphane Bertin in Photogrammetric Engineering & Remote Sensing, PERS, vol 82 n° 1 (January 2016)PermalinkPermalinkPassive microwave remote sensing of soil moisture based on dynamic vegetation scattering properties for AMSR-E / Jinyang Du in IEEE Transactions on geoscience and remote sensing, vol 54 n° 1 (January 2016)PermalinkPlant community mycorrhization in temperate forests and grasslands: relations with edaphic properties and plant diversity / Maret Gerz in Journal of vegetation science, vol 27 n° 1 (January 2016)PermalinkPermalinkPermalinkRéalisation de travaux de terrain en milieu montagnard et traitement au bureau / Fanny Pagnier (2016)PermalinkRecent variations of supraglacial lakes on the Baltoro Glacier in the central Karakoram Himalaya and its possible teleconnections with the pacific decadal oscillation / Bijeesh Kozhikkodan Veettil in Geocarto international, vol 31 n° 1 - 2 (January - February 2016)PermalinkSAGEO 2016 Spatial Analysis and GEOmatics, Actes de la 12ème conférence internationale francophone annuelle, 6 - 9 décembre 2016 à Nice (France) / Karine Emsellem (2016)PermalinkSpatial distribution of coal quality parameters with respect to production requirements: an adaptive neuro-fuzzy application for the Can coal field (Turkey) / Ali Kayabasi in Geocarto international, vol 31 n° 1 - 2 (January - February 2016)PermalinkSpatially constrained clustering of ecological units to facilitate the design of integrated water monitoring networks in the St. Lawrence Basin / M.D. Adams in International journal of geographical information science IJGIS, vol 30 n° 1-2 (January - February 2016)PermalinkThe ill wind that blew some good / Miroslav Holubec in GEO: Geoconnexion international, vol 15 n° 1 (January 2016)PermalinkVisualisation and evaluation of flood uncertainties based on ensemble modelling / N. 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Lim in International journal of geographical information science IJGIS, vol 30 n° 1-2 (January - February 2016)PermalinkWater vapor measurements by mobile Raman lidar over the Mediterranean Sea in the framework of HyMeX: application to multi-platform validation of moisture profiles / Julien Totems in EPJ Web of Conferences, vol 119 (2016)PermalinkWide-area ionospheric delay model for GNSS users in middle- and low-magnetic-latitude regions / An-Lin Tao in GPS solutions, vol 20 n° 1 (January 2016)PermalinkDEM measurements of a gravel-bed surface using two scales of images / Chi-Kuei Wang in Photogrammetric record, vol 30 n° 152 (December 2015 - February 2016)PermalinkDevelopment and operational analysis of an all-fiber coherent doppler Lidar system for wind sensing and aerosol profiling / Sameh Abdelazim in IEEE Transactions on geoscience and remote sensing, vol 53 n° 12 (December 2015)PermalinkA fast and accurate algorithm for high-frequency trans-ionospheric path length determination / Dudy D Wijaya in Journal of geodesy, vol 89 n° 12 (december 2015)PermalinkInSAR assessment of surface deformations in urban coastal terrains associated with groundwater dynamics / Jonathan C. L. Normand in IEEE Transactions on geoscience and remote sensing, vol 53 n° 12 (December 2015)PermalinkIs Close-to-Nature Silviculture (CNS) an adequate concept to adapt forests to climate change? / Peter Spathelf in Landbauforschung, vol 65 n° 3-4 (December 2015)PermalinkPermalinkMulti-GNSS meteorology : real-time retrieving of atmospheric water vapor from BeiDou, Galileo, GLONASS, and GPS observations / Xingxing Li in IEEE Transactions on geoscience and remote sensing, vol 53 n° 12 (December 2015)PermalinkResidual vegetation patches within natural boreal wild fires: Characterizing by pattern metrics, land cover expec tations and proximity to firebreak features / Yikalo H. Araya in Geomatica, vol 69 n° 4 (December 2015)PermalinkSlopeManagement via satellite navigation / Daniel Maurice in Geoinformatics, vol 18 n° 8 (December 2015)PermalinkSymbolisation et généralisation de données de réseau à différentes échelles / Ha Pham in Cartes & Géomatique, n° 226 (décembre 2015)PermalinkTranspiration of four common understorey plant species according to drought intensity in temperate forests / Rémy Gobin in Annals of Forest Science, vol 72 n° 8 (December 2015)PermalinkTree rings reflect growth adjustments and enhanced synchrony among sites in Iberian stone pine (Pinus pinea L.) under climate change / Fabio Natalini in Annals of Forest Science, vol 72 n° 8 (December 2015)PermalinkUAS Experiences in Africa / Marius Schrôder in GIM international [en ligne], vol 29 n° 12 (December 2015)PermalinkDe l'atténuation à l'adaptation / Françoise de Blomac in DécryptaGéo le mag, n° 171 (novembre 2015)PermalinkCombining leaf physiology, hyperspectral imaging and partial least squares-regression (PLS-R) for grapevine water status assessment / Tal Rapaport in ISPRS Journal of photogrammetry and remote sensing, vol 109 (November 2015)PermalinkHigh-latitude ionospheric irregularity drift velocity estimation using spaced GPS receiver carrier phase time–frequency analysis / Jun Wang in IEEE Transactions on geoscience and remote sensing, vol 53 n° 11 (November 2015)PermalinkImproving soil moisture profile prediction with the particle Filter-Markov chain Monte Carlo method / Hongxiang Yan in IEEE Transactions on geoscience and remote sensing, vol 53 n° 11 (November 2015)PermalinkMapping slope movements in Alpine environments using TerraSAR-X interferometric methods / Chloé Barboux in ISPRS Journal of photogrammetry and remote sensing, vol 109 (November 2015)PermalinkModeling and simulation of glacier avalanche: a case study of Gayari sector glaciers Hazards assessment / Muhammad Ashan Mahboob in IEEE Transactions on geoscience and remote sensing, vol 53 n° 11 (November 2015)PermalinkQuestions de mesure / Françoise de Blomac in DécryptaGéo le mag, n° 171 (novembre 2015)PermalinkA rapid approach for automated comparison of independently derived stream networks / Lauwrence V. Stanislawski in Cartography and Geographic Information Science, Vol 42 n° 5 (November 2015)PermalinkScience and user needs for observing global mass transport to understand global change and to benefit society / Roland Pail in Surveys in Geophysics, vol 36 n° 6 (November 2015)PermalinkStudy of the geometry effect on land surface temperature retrieval in urban environment / Jinxin Yanga in ISPRS Journal of photogrammetry and remote sensing, vol 109 (November 2015)PermalinkA synergy method to improve ensemble weather predictions and differential SAR interferograms / Franz-Georg Ulmer in ISPRS Journal of photogrammetry and remote sensing, vol 109 (November 2015)PermalinkApplication of fuzzy combination operators to flood vulnerability assessments in Seoul, Korea / Moung-Jin Lee in Geocarto international, vol 30 n° 9 - 10 (October - November 2015)PermalinkCiel sous contrôle : enquête SIG et climat / Steve Carpentier in SIGmag, n° 6 (octobre 2015)PermalinkEarth observation as a tool for tracking progress towards the Aichi Biodiversity Targets / Brian O’Connor in Remote sensing in ecology and conservation, vol 1 n° 1 (October 2015)PermalinkEfficiently computing the drainage network on massive terrains using external memory flooding process / Thiago L. Gomes in Geoinformatica, vol 19 n° 4 (October - December 2015)PermalinkInterrogations au sommet / Michel Ravelet in Géomètre, n° 2129 (octobre 2015)PermalinkLand cover changes assessment using object-based image analysis in the Binah River watershed (Togo and Benin) / Hèou Maléki Badjana in Earth and space science, vol 2 n° 10 (October 2015)PermalinkMulti-method monitoring of Glacier d’Argentière dynamics / Lionel Benoit in Annals of Glaciology, vol 56 n° 70 (October 2015)PermalinkQuand le Mont Saint-Michel redevient île / Alice Schwab in SIGmag, n° 6 (octobre 2015)PermalinkQuantitative assessment of the sensitivity to desertification in the Bradano River basin (Basilicata, southern Italy) / Filomena Canora in Journal of maps, vol 11 n° 5 ([01/10/2015])PermalinkSatellite based mapping and morphogenetic analysis of the landforms in the tertiary fold belts of parts of Tripura, India / Swati Singh in Geocarto international, vol 30 n° 9 - 10 (October - November 2015)PermalinkTime variable Earth’s gravity field from SLR satellites / Krzysztof Sosnica in Journal of geodesy, vol 89 n° 10 (october 2015)PermalinkChangement climatique et risques côtiers dans les îles tropicales / Virginie Duvat in Annales de géographie, n° 705 (septembre - octobre 2015)PermalinkEstimation of precipitation fields from 1-minute rain gauge time series – comparison of spatial and spatio-temporal interpolation methods / D. Fitzner in International journal of geographical information science IJGIS, vol 29 n° 9 (September 2015)PermalinkLa gestion de l'eau dans la plaine de Pise au cours des siècles : Premières analyses SIG / Gourguen Davtian in Géomatique expert, n° 106 (septembre - octobre 2015)PermalinkLes mangroves écosystèmes sous haute protection / Anne Konitz in Rivages, le magazine du conservatoire du littoral, n° 85 (automne 2015)PermalinkMapping and assessing coastal resilience in the Caribbean region / Nina S.N. Lam in Cartography and Geographic Information Science, Vol 42 n° 4 (September 2015)PermalinkMapping the impacts of Iceland's Katla subglacial volcano on the Mýrdalsjökull glacier / Chelsi A. McNeill-Jewer in Cartographica, vol 50 n° 3 (Fall 2015)PermalinkMonitoring forest cover loss using multiple data streams, a case study of a tropical dry forest in Bolivia / Loïc Paul Dutrieux in ISPRS Journal of photogrammetry and remote sensing, vol 107 (September 2015)PermalinkMonitoring landslide displacements with the Geocube wireless network of low-cost GPS / Lionel Benoit in Engineering Geology, vol 195 (September 2015)PermalinkNumerical and experimental evaluation of terrestrial LiDAR for parameterizing centimeter-scale sea ice surface roughness / Jack C. Landy in IEEE Transactions on geoscience and remote sensing, vol 53 n° 9 (September 2015)PermalinkReal-time retrieval of precipitable water vapor from GPS and BeiDou observations / Cuixian Lu in Journal of geodesy, vol 89 n° 9 (september 2015)PermalinkReducing leakage error in GRACE-observed long-term ice mass change: a case study in West Antarctica / J. L. Chen in Journal of geodesy, vol 89 n° 9 (september 2015)PermalinkRegistration of aerial imagery and lidar data in desert areas using sand ridges / Na Li in Photogrammetric record, vol 30 n° 151 (September - November 2015)PermalinkRemoval of thin clouds using cirrus and QA bands of Landsat-8 / Yang Shen in Photogrammetric Engineering & Remote Sensing, PERS, vol 81 n° 9 (September 2015)PermalinkA robust fixed rank kriging method for improving the spatial completeness and accuracy of satellite SST products / Yuxin Zhu in IEEE Transactions on geoscience and remote sensing, vol 53 n° 9 (September 2015)PermalinkSnow depth estimation based on multipath phase combination of GPS triple-frequency signals / Kegen Yu in IEEE Transactions on geoscience and remote sensing, vol 53 n° 9 (September 2015)PermalinkAboveground-biomass estimation of a complex tropical forest in India using Lidar / Cédric Vega in Remote sensing, vol 7 n° 8 (August 2015)PermalinkCréation d'Aeris, pôle de données et services atmosphère / Nicole Papineau in La Météorologie, n° 90 (août 2015)PermalinkGIS based drainage morphometry and its influence on hydrology in parts of Western Ghats region, Maharashtra, India / Dipak R. Samal in Geocarto international, vol 30 n° 7 - 8 (August - September 2015)PermalinkLidars with narrow FOV for daylight measurements / Ronald Eixmann in IEEE Transactions on geoscience and remote sensing, vol 53 n° 8 (August 2015)PermalinkModeling aboveground tree woody biomass using national-scale allometric methods and airborne lidar / Qi Chen in ISPRS Journal of photogrammetry and remote sensing, vol 106 (August 2015)PermalinkNormalization of TanDEM-X DSM data in urban environments with morphological filters / Christian Geiss in IEEE Transactions on geoscience and remote sensing, vol 53 n° 8 (August 2015)PermalinkRegional dynamics of terrestrial vegetation productivity and climate feedbacks for territory of Ukraine / Dmytro Movchan in International journal of geographical information science IJGIS, vol 29 n° 8 (August 2015)PermalinkThe status of measurement of the Mediterranean mean dynamic topography by geodetic techniques / Philip L. Woodworth in Journal of geodesy, vol 89 n° 8 (August 2015)PermalinkA worldwide ionospheric model for fast precise point positioning / Adria Rovira-Garcia in IEEE Transactions on geoscience and remote sensing, vol 53 n° 8 (August 2015)PermalinkDevelopment of an improved empirical model for slant delays in the troposphere (GPT2w) / Johannes Böhm in GPS solutions, vol 19 n° 3 (July 2015)Permalink