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Assimilation of remote sensed data for improved latent and sensible heat flux prediction: a comparative synthetic study / R. Pipunic in Remote sensing of environment, vol 112 n° 4 (15/04/2008)
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Titre : Assimilation of remote sensed data for improved latent and sensible heat flux prediction: a comparative synthetic study Type de document : Article/Communication Auteurs : R. Pipunic, Auteur ; J. Walker, Auteur ; A. Western, Auteur Année de publication : 2008 Article en page(s) : pp 1295 - 1305 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] analyse comparative
[Termes IGN] chaleur
[Termes IGN] filtre de Kalman
[Termes IGN] flux de rayonnement
[Termes IGN] humidité du sol
[Termes IGN] image Terra-MODIS
[Termes IGN] modèle numérique de surface
[Termes IGN] SMOSRésumé : (Auteur) Predicted latent and sensible heat fluxes from Land Surface Models (LSMs) are important lower boundary conditions for numerical weather prediction. While assimilation of remotely sensed surface soil moisture is a proven approach for improving root zone soil moisture, and presumably latent (LE) and sensible (H) heat flux predictions from LSMs, limitations in model physics and over-parameterisation mean that physically realistic soil moisture in LSMs will not necessarily achieve optimal heat flux predictions. Moreover, the potential for improved LE and H predictions from the assimilation of LE and H observations has received little attention by the scientific community, and is tested here with synthetic twin experiments. A one-dimensional single column LSM was used in 3-month long experiments, with observations of LE, H, surface soil moisture and skin temperature (from which LE and H are typically derived) sampled from truth model run outputs generated with realistic data inputs. Typical measurement errors were prescribed and observation data sets separately assimilated into a degraded model run using an Ensemble Kalman Filter (EnKF) algorithm, over temporal scales representative of available remotely sensed data. Root Mean Squared Error (RMSE) between assimilation and truth model outputs across the experiment period were examined to evaluate LE, H, and root zone soil moisture and temperature retrieval. Compared to surface soil moisture assimilation as will be available from SMOS (every 3 days), assimilation of LE and/or H using a best case MODIS scenario (twice daily) achieved overall better predictions for LE and comparable H predictions, while achieving poorer soil moisture predictions. Twice daily skin temperature assimilation achieved comparable heat flux predictions to LE and/or H assimilation. Fortnightly (Landsat) assimilations of LE, H and skin temperature performed worse than 3-day moisture assimilation. While the different spatial resolutions of these remote sensing data have been ignored, the potential for LE and H assimilation to improve model predicted LE and H is clearly demonstrated. Copyright Elsevier Numéro de notice : A2008-089 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2007.02.038 En ligne : https://doi.org/10.1016/j.rse.2007.02.038 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29084
in Remote sensing of environment > vol 112 n° 4 (15/04/2008) . - pp 1295 - 1305[article]Multi-sensor model-data fusion for estimation of hydrologic and energy flux parameters / L. Renzullo in Remote sensing of environment, vol 112 n° 4 (15/04/2008)
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Titre : Multi-sensor model-data fusion for estimation of hydrologic and energy flux parameters Type de document : Article/Communication Auteurs : L. Renzullo, Auteur ; D. Barett, Auteur ; et al., Auteur Année de publication : 2008 Article en page(s) : pp 1306 - 1319 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] Australie
[Termes IGN] évapotranspiration
[Termes IGN] flux de rayonnement
[Termes IGN] fusion de données
[Termes IGN] humidité du sol
[Termes IGN] image Aqua-AMSR
[Termes IGN] image Aqua-MODIS
[Termes IGN] image multicapteur
[Termes IGN] modèle conceptuel de données
[Termes IGN] savane
[Termes IGN] température au solRésumé : (Auteur) Model-data fusion offers considerable promise in remote sensing for improved state and parameter estimation particularly when applied to multi-sensor image products. This paper demonstrates the application of a ‘multiple constraints’ model-data fusion (MCMDF) scheme to integrating AMSR-E soil moisture content (SMC) and MODIS land surface temperature (LST) data products with a coupled biophysical model of surface moisture and energy budgets for savannas of northern Australia. The focus in this paper is on the methods, difficulties and error sources encountered in developing an MCMDF scheme and enhancements for future schemes. An important aspect of the MCMDF approach emphasized here is the identification of inconsistencies between model and data, and among data sets. The MCMDF scheme was able to identify that an inconsistency existed between AMSR-E SMC and LST data when combined with the coupled SEB-MRT model. For the example presented, an optimal fit to both remote sensing data sets together resulted in an 84% increase in predicted SMC and 0.06% increase for LST relative to the fit to each data set separately. That is the model predicted on average cooler LST's (not, vert, similar 1.7 K) and wetter SMC values (not, vert, similar 0.04 g cm- 3) than the satellite image products. In this instance we found that the AMSR-E SMC data on their own were poor constraints on the model. Incorporating LST data via the MCMDF scheme ameliorated deficiencies in the SMC data and resulted in enhanced characterization of the land surface soil moisture and energy balance based on comparison with the MODIS evapotranspiration (ET) product of Mu et al. [Mu, Q., Heinsch, F.A, Zhao, M. and Running, S.W. (in press), Development of a global evapotranspiration algorithm based on MODIS and global meteorology data, Remote Sensing of Environment.]. Canopy conductance, gc, and latent heat flux, ëE, from the MODIS ET product were in good agreement with RMSEs for gc = 0.5 mm s- 1 and for ëE = 18 W m- 2, respectively. Differences were attributable to a greater canopy-to-air vapor pressure gradient in the MCMDF approach obtained from a more realistic partitioning of soil surface and canopy temperatures. Copyright Elsevier Numéro de notice : A2008-090 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2007.06.022 En ligne : https://doi.org/10.1016/j.rse.2007.06.022 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29085
in Remote sensing of environment > vol 112 n° 4 (15/04/2008) . - pp 1306 - 1319[article]Retrieving ocean surface current by 4D variational assimilation of Sea Surface Temperature images / G. Korotaev in Remote sensing of environment, vol 112 n° 4 (15/04/2008)
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Titre : Retrieving ocean surface current by 4D variational assimilation of Sea Surface Temperature images Type de document : Article/Communication Auteurs : G. Korotaev, Auteur ; E. Huot, Auteur ; F.X. Le Dimet, Auteur ; et al., Auteur Année de publication : 2008 Article en page(s) : pp 1295 - 1305 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] champ de vitesse
[Termes IGN] courant marin
[Termes IGN] image NOAA-AVHRR
[Termes IGN] température de surface de la mer
[Termes IGN] variation
[Termes IGN] visualisation 4DRésumé : (Auteur) In this article, we propose a new method to estimate ocean mesoscale structures of the surface current velocity by processing sea surface satellite images. Assuming that the intensity level can be described by a transport–diffusion equation, the proposed approach is based on variational assimilation of image observations within a simple transport–diffusion model. This approach permits to retrieve the current velocity field from a sequence of satellite images. Results of processing synthetic data and real NOAA-AVHRR satellite images are presented and commented. Copyright Elsevier Numéro de notice : A2008-094 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2007.04.020 En ligne : https://doi.org/10.1016/j.rse.2007.04.020 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29089
in Remote sensing of environment > vol 112 n° 4 (15/04/2008) . - pp 1295 - 1305[article]La bio-indication et les indices macrophytiques, outils d'évaluation et de diagnostic de la qualité des cours d'eau / Christian Chauvin in Ingénieries : eau, agriculture, territoires, n° spécial (2008-04-01)
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Titre : La bio-indication et les indices macrophytiques, outils d'évaluation et de diagnostic de la qualité des cours d'eau Titre original : The Bioindication and indices macrophytic, assessment tools and diagnostic quality of rivers Type de document : Article/Communication Auteurs : Christian Chauvin, Auteur ; Marie-Christine Peltre, Auteur ; Jacques Haury, Auteur Année de publication : 2008 Article en page(s) : p. 91-108 Note générale : Bibliographie Langues : Français (fre) Descripteur : [Vedettes matières IGN] Ecologie
[Termes IGN] indicateur biologique
[Termes IGN] macrophyte
[Termes IGN] milieu aquatique (eau douce)
[Termes IGN] phytoécologie
[Termes IGN] qualité des eauxRésumé : (auteur) La notion de bio-indication appliquée au compartiment végétal aquatique couvre différentes approches, issues de celles classiquement développées en phytosociologie et en phytoécologie. Numéro de notice : A2008-662 Affiliation des auteurs : non IGN Thématique : BIODIVERSITE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=70331
in Ingénieries : eau, agriculture, territoires > n° spécial (2008-04-01) . - p. 91-108[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité IFN-DIR-P000059 PER Revue Nogent-sur-Vernisson Salle périodiques Exclu du prêt Standards in practice, part 7: S-57 IHO Transfer Standard for digital hydrographic data / G. Spoelstra in Geoinformatics, vol 11 n° 3 (01/04/2008)
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Titre : Standards in practice, part 7: S-57 IHO Transfer Standard for digital hydrographic data Type de document : Article/Communication Auteurs : G. Spoelstra, Auteur Année de publication : 2008 Article en page(s) : pp 28 - 31 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Infrastructure de données
[Termes IGN] carte marine
[Termes IGN] données hydrographiques
[Termes IGN] données vectorielles
[Termes IGN] infrastructure mondiale des données localisées
[Termes IGN] navigation maritime
[Termes IGN] norme d'échange de données localiséesRésumé : (Auteur) One of the standardized vector based data sets in the world is based on S-57 and yet the standard is not well know, let alone used outside the hydrographic community. Time to introduce this proven standard in more detail. Copyright GEOinformatics Numéro de notice : A2008-134 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29129
in Geoinformatics > vol 11 n° 3 (01/04/2008) . - pp 28 - 31[article] Voir aussiExemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 262-08031 SL Revue Centre de documentation Revues en salle Disponible PermalinkTwo-scale surface deformation analysis using the SBAS-DInSAR technique: a case study of the city of Rome, Italy / M. Manunta in International Journal of Remote Sensing IJRS, vol 29 n° 6 (March 2008)
PermalinkUne analyse coût-bénéfice spatialisée de la protection contre des inondations. Application de la méthode des dommages évités à la basse vallée de l'Orb / Katrin Erdlenbruch in Ingénieries : eau, agriculture, territoires, n° 53 (mars 2008)
PermalinkImproving National Land Cover Database estimates of road network impervious cover using vector road networks in GIS / K. Thomas in SaLIS Surveying and land information science, vol 68 n° 1 (March 2008)
PermalinkLarge-scale errors in ERS altimeter data / J.Y. Cherniawsky in Marine geodesy, vol 31 n° 1 (March - May 2008)
PermalinkReconstitution de la géométrie d'un glacier disparu et modélisation des conséquences de sa disparition : exemple du glacier durancien lors du dernier maximum glaciaire / E. Cossart in Revue internationale de géomatique, vol 18 n° 1 (mars – mai 2008)
PermalinkSoil moisture experiment 2004 (SMEX04) (Bulletin de Remote sensing of environment) / Thomas J. Jackson
PermalinkSpatial sampling uncertainty in SMEX04 soil moisture fields: a data-based resampling experiment / M. Gebremichael in Remote sensing of environment, vol 112 n° 2 (15/02/2008)
PermalinkGOCE : obtaining a portrait of Earth's most intimate features / M. Drinkwater in ESA bulletin, n° 133 (February 2008)
PermalinkGOCE's measurements of the gravity field and beyond / R. Floberghaben in ESA bulletin, n° 133 (February 2008)
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