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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)
[article]
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 soil temperature profile by assimilating MODIS LST products with ensemble Kalman filter / C. Huang in Remote sensing of environment, vol 112 n° 4 (15/04/2008)
[article]
Titre : Retrieving soil temperature profile by assimilating MODIS LST products with ensemble Kalman filter Type de document : Article/Communication Auteurs : C. Huang, Auteur ; X. Li, Auteur ; L. Lu, Auteur Année de publication : 2008 Article en page(s) : pp 1320 - 1336 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] chaleur terrestre
[Termes IGN] filtre de Kalman
[Termes IGN] image Aqua-MODIS
[Termes IGN] mise à jour automatique
[Termes IGN] Mongolie
[Termes IGN] prédiction
[Termes IGN] température au solRésumé : (Auteur) Proper estimation of initial state variables and model parameters are vital importance for determining the accuracy of numerical model prediction. In this work, we develop a one-dimensional land data assimilation scheme based on ensemble Kalman filter and Common Land Model version 3.0 (CoLM). This scheme is used to improve the estimation of soil temperature profile. The leaf area index (LAI) is also updated dynamically by MODIS LAI production and the MODIS land surface temperature (LST) products are assimilated into CoLM. The scheme was tested and validated by observations from four automatic weather stations (BTS, DRS, MGS, and DGS) in Mongolian Reference Site of CEOP during the period of October 1, 2002 to September 30, 2003. Results indicate that data assimilation improves the estimation of soil temperature profile about 1 K. In comparison with simulation, the assimilation results of soil heat fluxes also have much improvement about 13 W m- 2 at BTS and DGS and 2 W m- 2 at DRS and MGS, respectively. In addition, assimilation of MODIS land products into land surface model is a practical and effective way to improve the estimation of land surface variables and fluxes. Copyright Elsevier Numéro de notice : A2008-091 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2007.03.028 En ligne : https://doi.org/10.1016/j.rse.2007.03.028 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29086
in Remote sensing of environment > vol 112 n° 4 (15/04/2008) . - pp 1320 - 1336[article]Use of a Kalman filter for the retrieval of surface BRDF coefficients with a time-evolving model based on the ECOCLIMAP land cover classification / O. Samain in Remote sensing of environment, vol 112 n° 4 (15/04/2008)
[article]
Titre : Use of a Kalman filter for the retrieval of surface BRDF coefficients with a time-evolving model based on the ECOCLIMAP land cover classification Type de document : Article/Communication Auteurs : O. Samain, Auteur ; J.L. Roujeau, Auteur ; Bernhard Geiger, Auteur Année de publication : 2008 Article en page(s) : pp 1337 - 1346 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] Afrique occidentale
[Termes IGN] cohérence des données
[Termes IGN] distribution du coefficient de réflexion bidirectionnelle BRDF
[Termes IGN] filtre de Kalman
[Termes IGN] image SPOT-Végétation
[Termes IGN] image Terra-MODIS
[Termes IGN] occupation du sol
[Termes IGN] réflectance de surface
[Termes IGN] réflectance directionnelle
[Termes IGN] variation saisonnièreRésumé : (Auteur) The goal of this study is to demonstrate the asset in using a Kalman filter to improve the spatial coherence and time consistency of surface Bidirectional Reflectance Distribution Function (BRDF) and albedo retrievals from moderate resolution sensor data sets. For this purpose, we use a simple surface model describing BRDF seasonal evolution for the land cover classes of the ECOCLIMAP database. The application of temporal composition windows used so far for BRDF retrieval is limited in regions characterized by a high frequency of cloud coverage, which induces a lot of gaps in the temporal series. Instead, the present method ensures a continuous production of surface BRDF parameters thanks to the Kalman filter recursive data processing. An application of the method is performed with SPOT/VEGETATION data over the western Africa equatorial region for the year 2003. Compared to presently available products from VEGETATION and MODIS instruments, this new approach allows to fill the gaps and improves the retrieved parameters time consistency. Another interesting possibility of the Kalman filter is the production of surface biophysical variables in quasi-real-time for applications that require a frequent update of the surface parameters. Copyright Elsevier Numéro de notice : A2008-092 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2007.07.007 En ligne : https://doi.org/10.1016/j.rse.2007.07.007 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29087
in Remote sensing of environment > vol 112 n° 4 (15/04/2008) . - pp 1337 - 1346[article]ASTER DEMs for geomatic and geoscientific applications: a review / Thierry Toutin in International Journal of Remote Sensing IJRS, vol 29 n° 7 (April 2008)
[article]
Titre : ASTER DEMs for geomatic and geoscientific applications: a review Type de document : Article/Communication Auteurs : Thierry Toutin , Auteur Année de publication : 2008 Article en page(s) : pp 1855 - 1875 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] données localisées 3D
[Termes IGN] extraction de données
[Termes IGN] image optique
[Termes IGN] image Terra-ASTER
[Termes IGN] modèle numérique de terrain
[Termes IGN] modèle stéréoscopique
[Termes IGN] positionnement absoluRésumé : (Auteur) Most geoscientific applications using georeferenced cartographic/geospatial data require good knowledge and visualization of the topography of the Earth's surface. For example, mapping of geomorphological features is hardly feasible from a single image; three-dimensional (3D) information has to be generated or added for a better interpretation of the two-dimensional data. Since the early emergence of earth observation satellites, researchers have investigated different methods of extracting 3D information using satellite data. Since the early experiments with the Earth Terrain Camera flown onboard SkyLab in 1973 to 1974, various analogue or digital sensors in the visible or microwave spectrum have been flown to provide researchers and geoscientists with spatial data for extracting and interpreting 3D information of the Earth's surface. Stereo viewing using digital scanner images, such as with the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) along-track sensors, was, and still is, the most common method used by the mapping, geomatic, and geoscientific communities for generating digital elevation models (DEMs). This paper will review the basic characteristics of stereoscopy and its application to the ASTER system for DEM generation. It will thus address the methods, algorithms and commercial software to extract absolute or relative elevation and assess their performance using the results from various research and commercial organizations. It will finally discuss the use of stereo ASTER DEMs for different geomatic and geoscientific applications. Copyright Taylor & Francis Numéro de notice : A2008-097 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160701408477 En ligne : https://doi.org/10.1080/01431160701408477 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29092
in International Journal of Remote Sensing IJRS > vol 29 n° 7 (April 2008) . - pp 1855 - 1875[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 080-08051 RAB Revue Centre de documentation En réserve L003 Disponible Land-cover classification using ASTER: multi-band combinations based on wavelet fusion and SOM neural network / H. Bagan in Photogrammetric Engineering & Remote Sensing, PERS, vol 74 n° 3 (March 2008)
[article]
Titre : Land-cover classification using ASTER: multi-band combinations based on wavelet fusion and SOM neural network Type de document : Article/Communication Auteurs : H. Bagan, Auteur ; Q. Wang, Auteur ; et al., Auteur Année de publication : 2008 Article en page(s) : pp 333 - 342 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] carte de Kohonen
[Termes IGN] classification par réseau neuronal
[Termes IGN] fusion d'images
[Termes IGN] image multibande
[Termes IGN] image Terra-ASTER
[Termes IGN] occupation du sol
[Termes IGN] précision de la classificationRésumé : (Auteur) In this study, we developed a land-cover classification methodology using Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) visible near-infrared (VNIR), shortwave infrared (SWIR), and thermal infrared (TIR) band combinations based on wavelet fusion and the selforganizing map (SOM) neural network methods, and compared the classification accuracies of different combinations of ASTER multi-band data. A wavelet fusion concept named ARSIS (Amélioration de la Résolution Spatiale par Injection de Structures) was used to fuse ASTER data in the preprocessing stage. In order to apply the wavelet fusion method to ASTER data, the principal components of ASTER VNIR data were computed. The first principal component was used as the base image for wavelet fusion. In our experiments, the spatial resolution of ASTER VNIR, SWIR, and TIR data was adjusted to the same 15 m. SOM classification accuracy was increased from 83 percent to 93 percent by this fusion, and classification accuracy increased along with the increase of band numbers. Classification accuracy reaches the highest value when all 14 bands are used, but classification accuracy closely approached the highest value when three VNIR bands, three SWIR bands, and two TIR bands were used. A similar tendency was also obtained by the maximum likelihood classification (MLC) method, but the classification accuracies of MLC over all band combinations were considerably obviously lower than those obtained by the SOM method. Copyright ASPRS Numéro de notice : A2008-075 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.74.3.333 En ligne : https://doi.org/10.14358/PERS.74.3.333 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29070
in Photogrammetric Engineering & Remote Sensing, PERS > vol 74 n° 3 (March 2008) . - pp 333 - 342[article]Spatially and temporally continuous LAI data sets based on an integrated filtering method: examples from North America / H. Fang in Remote sensing of environment, vol 112 n° 1 (15/01/2008)PermalinkEtude géomorphologique des coulées de lave du piton de la fournaise / Astrid Gladys (2008)PermalinkUtilisation de la télédétection optique et radar pour étudier la déforestation en Afrique centrale / Quentin Page (2008)PermalinkVariability of fire-induced changes in MODIS surface reflectance by land-cover type in Borneo / Jukka Miettinen in International Journal of Remote Sensing IJRS, vol 28 n° 21-22 (November 2007)PermalinkEarly fire detection using non-linear multi-temporal prediction of thermal imagery / A. Koltunov in Remote sensing of environment, vol 110 n° 1 (14/09/2007)PermalinkComparison and validation of MODIS and VEGETATION global LAI products over four BigFoot sites in North America / J. Pisek in Remote sensing of environment, vol 109 n° 1 (12 July 2007)PermalinkInundation distances and run-up measurements from ASTER, QuickBird and SRTM data, Aceh coast, Indonesia / B.G. Mcadoo in International Journal of Remote Sensing IJRS, vol 28 n° 13-14 (July 2007)PermalinkUrban radiation balance of two coastal cities in a hot and dry environment / C.M. Frey in International Journal of Remote Sensing IJRS, vol 28 n°11-12 (June 2007)PermalinkActive forest monitoring in Uttaranchal state, India using multi-temporal DMSP-OLS and MODIS data / T.R. Kiranchand in International Journal of Remote Sensing IJRS, vol 28 n° 10 (May 2007)PermalinkSatellite-derived cloud top pressure product validation using aircraft-based cloud physics Lidar from the ATReC field campaign / S.T. Bedka in International Journal of Remote Sensing IJRS, vol 28 n° 10 (May 2007)PermalinkExtending the MODIS 1 km ocean colour atmospheric correction to the MODIS 500 m bands and 500 m chlorophyll-a estimation towards coastal and estuarine monitoring / J.D. Shutler in Remote sensing of environment, vol 107 n° 4 (30/04/2007)PermalinkAn operational MISR pixel classifier using support vector machines / D. Mazzoni in Remote sensing of environment, vol 107 n° 1-2 (15 March 2007)PermalinkA data-mining approach to associating MISR smoke plume heights with MODIS fire measurements / D. Mazzoni in Remote sensing of environment, vol 107 n° 1-2 (15 March 2007)PermalinkMISR-based passive optical bathymetry from orbit with few-cm level of accuracy on the Salar de Uyuni, Bolivia / B.G. Bills in Remote sensing of environment, vol 107 n° 1-2 (15 March 2007)Permalinkvol 107 n° 1-2 - 15 March 2007 - Multi-angle Imaging SpectroRadiometer (MISR) Special Issue MISR (Bulletin de Remote sensing of environment) / David J. DinerPermalinkSupport vector machines for recognition of semi-arid vegetation types using MISR multi-angle imagery / L. Su in Remote sensing of environment, vol 107 n° 1-2 (15 March 2007)PermalinkSupport vector machines regression for retrieval of leaf area index from multiangle imaging spectroradiometer / S. Durbha in Remote sensing of environment, vol 107 n° 1-2 (15 March 2007)PermalinkAnalysis of process variance in remote sensing applications / M. Matur in GIS development, vol 11 n° 2 (February 2007)PermalinkComputing coastal ocean surface curreants from infrared and ocean color satellite imagery / R.I. Crocker in IEEE Transactions on geoscience and remote sensing, vol 45 n° 2 (February 2007)PermalinkEvaluating NDVI-based emissivities of MODIS bands 31 and 32 using emissivities derived by day/night LST algorithm / M. Momeni in Remote sensing of environment, vol 106 n° 2 (30/01/2007)Permalink