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Evaluation of SMOS soil moisture products over continental U.S. using the SCAN/SNOTEL network / A. Al Bitar in IEEE Transactions on geoscience and remote sensing, vol 50 n° 5 Tome 1 (May 2012)
[article]
Titre : Evaluation of SMOS soil moisture products over continental U.S. using the SCAN/SNOTEL network Type de document : Article/Communication Auteurs : A. Al Bitar, Auteur ; D. Leroux, Auteur ; Yann H. Kerr, Auteur ; et al., Auteur Année de publication : 2012 Article en page(s) : pp 1572 - 1586 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] bande L
[Termes IGN] Etats-Unis
[Termes IGN] humidité du sol
[Termes IGN] image SMOS
[Termes IGN] validation des données
[Termes IGN] zone humideRésumé : (Auteur) The Soil Moisture and Ocean Salinity (SMOS) satellite has opened the era of soil moisture products from passive L-band observations. In this paper, validation of SMOS products over continental U.S. is done by using the Soil Climate Analysis Network (SCAN)/SNOwpack TELemetry (SNOTEL) soil moisture monitoring stations. The SMOS operational products and the SMOS reprocessing products are both used and compared over year 2010. First, a direct node-to-site comparison is performed by taking advantage of the oversampling of the SMOS product grid. The comparison is performed over several adjacent nodes to site, and several representative couples of site-node are identified. The impact of forest fraction is shown through the analysis of different cases across the U.S. Also, the impact of water fraction is shown through two examples in Florida and in Utah close to Great Salt Lake. A radiometric aggregation approach based on the antenna footprint and spatial description is used. A global comparison of the SCAN/SNOTEL versus SMOS is made. Statistics show an underestimation of the soil moisture from SMOS compared to the SCAN/SNOTEL local measurements. The results suggest that SMOS meets the mission requirement of 0.04 m3/m3 over specific nominal cases, but differences are observed over many sites and need to be addressed. Numéro de notice : A2012-208 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2012.2186581 Date de publication en ligne : 04/04/2012 En ligne : https://doi.org/10.1109/TGRS.2012.2186581 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31655
in IEEE Transactions on geoscience and remote sensing > vol 50 n° 5 Tome 1 (May 2012) . - pp 1572 - 1586[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-2012051A RAB Revue Centre de documentation En réserve L003 Disponible Validation of the SMOS L2 soil moisture data in the REMEDHUS network (Spain) / N. Sanchez in IEEE Transactions on geoscience and remote sensing, vol 50 n° 5 Tome 1 (May 2012)
[article]
Titre : Validation of the SMOS L2 soil moisture data in the REMEDHUS network (Spain) Type de document : Article/Communication Auteurs : N. Sanchez, Auteur ; J. Martinez-Fernandez, Auteur ; A. Scaini, Auteur ; C. Perez-Gutierrez, Auteur Année de publication : 2012 Article en page(s) : pp 1602 - 1611 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] analyse comparative
[Termes IGN] Espagne
[Termes IGN] humidité du sol
[Termes IGN] image SMOS
[Termes IGN] réseau de contrôle
[Termes IGN] salinité
[Termes IGN] validation des données
[Termes IGN] zone humideRésumé : (Auteur) The Level 2 soil moisture products from the Soil Moisture and Ocean Salinity (SMOS) mission have been re- leased. The data must be validated under different scenarios of biophysical and climatic conditions. For the current study, the data from January to December 2010 from 20 in situ soil moisture stations from the REMEDHUS soil moisture measurement station network (Spain) were used. A comparison analysis was carried out in terms of the soil moisture content, its spatial variability, and temporal stability. The results show an acceptable level of agreement (R = 0.73, RMSD = 0.069 m3 · m-3, and bias = 0.053 m3 · m-3) between the in situ and satellite data. A slight constant underestimation from the SMOS data set was detected. A centered (bias removed) root-mean-square difference was calculated to account for this persistent bias (RMSDc = 0.044 m3 · m-3). This result is close to the SMOS accuracy objective of 0.04 m3 · m-3. Two conclusions can be drawn: First, SMOS is close to meet the mission accuracy requirements in REMEDHUS, and second, SMOS is able to detect temporal anomalies and the temporal evolution of ground soil moisture, even though the soil moisture was slightly underestimated. Despite a noticeably reduced spatial variability among the SMOS grid cells, the remotely sensed soil moisture shows a spatial pattern of the soil moisture fields on the area scale, in agreement with the site-specific characteristics of REMEDHUS. No differences were found between the use of ascending and descending orbits. In addition, no differences were detected between the use of time-overpass values of in situ soil moisture and that of the daily average. Numéro de notice : A2012-209 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2011.2170177 Date de publication en ligne : 02/11/2011 En ligne : https://doi.org/10.1109/TGRS.2011.2170177 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31656
in IEEE Transactions on geoscience and remote sensing > vol 50 n° 5 Tome 1 (May 2012) . - pp 1602 - 1611[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-2012051A RAB Revue Centre de documentation En réserve L003 Disponible Terrestrial laser scan error in the presence of dense ground vegetation / S. Coveney in Photogrammetric record, vol 26 n° 135 (September - November 2011)
[article]
Titre : Terrestrial laser scan error in the presence of dense ground vegetation Type de document : Article/Communication Auteurs : S. Coveney, Auteur ; A. Stewart Fotheringham, Auteur Année de publication : 2011 Article en page(s) : pp 307 - 324 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] détection d'erreur
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] erreur géométrique
[Termes IGN] flore locale
[Termes IGN] krigeage
[Termes IGN] marais salé
[Termes IGN] masque de végétation
[Termes IGN] semis de points
[Termes IGN] sol nu
[Termes IGN] source d'erreur
[Termes IGN] télémétrie laser terrestre
[Termes IGN] validation des donnéesRésumé : (Auteur) Terrestrial laser scanning (TLS) data-sets are seeing increasing use in geology, geomorphology, forestry and urban mapping. The ease of use, affordability and operational flexibility of TLS suggest that demand for it is likely to increase in large-scale mapping studies. However, its advantages may remain restricted to specific environments, because of difficulties in defining bare-ground level in the presence of ground-level vegetation. This paper seeks to clarify the component contributions to TLS elevation error deriving from vegetation occlusion, scan co-registration error, point cloud georeferencing error and target position definition in TLS point cloud data. A multi-scan single-returns TLS point cloud data-set of very high resolution (~250 points/m2) was acquired for an 11 hectare area of open, substantially flat and 100% vegetated coastal saltmarsh, providing data for the empirical quantification of TLS error. Errors deriving from the sources discussed are quantified, clarifying the potential proportional contribution of vegetation to other error sources. Initial data validation is applied to the TLS point cloud data after application of a local-lowest-point selection process, and repeat validation tests are applied to the resulting filtered point cloud after application of a kriging-based error adjustment and data fusion with GPS. The final results highlight the problem of representing bare ground effectively within TLS data captured in the presence of dense ground vegetation and clarify the component contributions of elevation error deriving from surveying and data processing. Numéro de notice : A2011-386 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1111/j.1477-9730.2011.00647.x Date de publication en ligne : 14/09/2011 En ligne : https://doi.org/10.1111/j.1477-9730.2011.00647.x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31165
in Photogrammetric record > vol 26 n° 135 (September - November 2011) . - pp 307 - 324[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 106-2011031 RAB Revue Centre de documentation En réserve L003 Disponible Global gravity field determination using the GPS measurements made onboard the low Earth orbiting satellite CHAMP / Lars Prange (2010)
Titre : Global gravity field determination using the GPS measurements made onboard the low Earth orbiting satellite CHAMP Type de document : Rapport Auteurs : Lars Prange, Auteur Editeur : Zurich : Schweizerischen Geodatischen Kommission / Commission Géodésique Suisse Année de publication : 2010 Collection : Geodätisch-Geophysikalische Arbeiten in der Schweiz, ISSN 0257-1722 num. 81 Importance : 212 p. Format : 21 x 30 cm ISBN/ISSN/EAN : 978-3-908440-25-3 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géodésie physique
[Termes IGN] champ de pesanteur terrestre
[Termes IGN] données CHAMP
[Termes IGN] données GPS
[Termes IGN] Global Positioning System
[Termes IGN] gravimétrie spatiale
[Termes IGN] modèle de géopotentiel
[Termes IGN] orbite basse
[Termes IGN] orbitographie
[Termes IGN] positionnement par GPS
[Termes IGN] validation des données
[Termes IGN] variation saisonnièreIndex. décimale : 30.40 Géodésie physique Résumé : (Auteur) The major goal of this work was to to generate "the best possible" static CHAMP-only gravity field model using most of the openly available CHAMP data. Firstly we wanted to assess the full potential but also the limitations of CHAMP data and a CHAMP-like satellite mission for gravity field determination. Secondly we wanted to gain as much insight as possible in determining gravity fields (static and time variable) from space-based GNSS data in general, because several current and future satellite missions (dedicated to gravity field research, but also non-dedicated) equipped with GNSS receivers could benefit from improvements made here. We believe to have come close to achieving these goals by generating, validating, and publishing the static Earth gravity field models AIUB-CHAMPOIS, AIUB-CHAMP02S, and AIUB-CHAMP03S. Furthermore, the largest constituents of the seasonal gravity field variations could be retrieved from CHAMP data, as well. The Celestial Mechanics Approach (CMA) was successfully applied for gravity field determination. Note de contenu : 1 Introduction
2 Measuring the Earth's gravity field
2.1 Terrestrial geodesy
2.2 Satellite geodesy
2.2.1 Optical observations
2.2.2 Microwave methods
2.2.3 Satellite Laser Ranging (SLR)
2.2.4 Satellite altimetry
2.2.5 High-low SST of CHAMP
2.2.6 Low-low SST with GRACE
2.2.7 Satellite gradiometry with GOCE
3 Orbit determination and gravity field recovery
3.1 Least squares adjustment
3.1.1 Basic concept
3.1.2 LSA techniques
3.2 Coordinate systems
3.2.1 Geocentric quasi-inertial system
3.2.2 Earth-fixed coordinate system
3.2.3 Satellite-fixed coordinate system
3.3 Satellite orbits
3.3.1 Dynamic orbits
3.3.2 Reduced-dynamic orbits
3.3.3 Kinematic orbits
3.4 The equation of motion
3.5 Spherical harmonic representation of the gravitational potential
3.6 Orbit and gravity field determination
3.6.1 Numerical integration of the primary equations
3.6.2 Numerical integration of the variational equations
4. Global Positioning System - GPS
4.1 History
4.2 Basic measurement principle
4.3 GPS orbit constellation and satellites
4.4 GPS signals
4.5 Modeling GPS observables
4.5.1 Observation equations
4.5.2 Observation differences
4.5.3 Linear combinations
4.6 The International GNSS Service (IGS)
4.7 Bernese GPS Software (BSW)
5 Data processing
5.1 Generation of the A1UB-CHAMP01S gravity field model
5.1.1 Data Screening
5.1.2 Gravity field recovery
5.1.3 The AIUB-CHAMP01S gravity field model
5.2 Generation of the AIUB-CHAMP02S gravity field model
5.2.1 GNSS model changes
5.2.2 GPS orbit reprocessing
5.2.3 GPS satellite clock reprocessing
5.2.4 CHAMP orbit determination
5.2.5 AIUB-CHAMP02S gravity field recovery
5.2.6 The AIUB-CHAMP02S gravity field model
5.3 Generation of the AIUB-CHAMP03S gravity field model
5.3.1 Estimation of high-rate GPS satellite clock corrections
5.3.2 CHAMP orbit determination
5.3.3 Data screening and gravity field recovery
5.3.4 The AIUB-CHAMP03S gravity field model
6 Studies and experiments
6.1 Studies related to A1UB-C11AMP01S
6.1.1 Orbit modeling with arc-specific parameters
6.1.2 Modeling of non-gravitational perturbations with dynamic force models
6.1.3 Accelerometer data
6.1.4 Simulation study
6.1.5 Observation weights .
6.1.6 Influence of the a priori gravity field model
6.1.7 Screening the kinematic positions
6.1.8 Quality variations in monthly gravity field solutions
6.1.9 Summary and discussion of the IUB-CHAMPOlS-related studies
6.2 Experiments related to AIUB-CI1AMP02S
6.2.1 The impact of GNSS model changes
6.2.2 Inconsistency in the low degree harmonics
6.2.3 Simulation study
6.2.4 Latitude dependency of the observation scenario
6.2.5 Summary and conclusion of the AIUB-CHAMP02S-related studies
6.3 Experiments related to AIUB-CHAMP03S ..
6.3.1 Influence of empirical PCV-models on gravity field recovery using CHAMP GPS data ..
6.3.2 Elevation-dependent weighting
6.3.3 Observation sampling
6.3.4 Inter-epoch correlations of kinematic positions
6.3.5 Position differences vs. positions
6.3.6 Impact of observations of eclipsing GPS satellites on CHAMP gravity field recovery ...
6.3.7 Temporal variations of the Earth's gravity field
6.3.8 Recovery of the low degree harmonics
6.3.9 Summary of the experiments related to AIUB-CHAMP03S
7 Gravity field validation
7.1 Validation methods
7.1.1 Formal errors
7.1.2 Comparison with other gravity field models
7.1.3 Comparison with ground data
7.1.4 Altimetry data
7.1.5 Orbit determination
7.2 Validation of AIUB-CHAMP01S
7.2.1 Internal validation .
7.2.2 External validation
7.3 Validation of AIUB-CHAMP02S
7.3.1 Internal validation
7.3.2 External validation
7.4 Validation of AIUB-CHAMP03S
7.4.1 Internal validation
7.4.2 External validation
8 Summary and conclusionsNuméro de notice : 10370 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Rapport de recherche En ligne : https://www.sgc.ethz.ch/sgc-volumes/sgk-81.pdf Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=62409 Réservation
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Code-barres Cote Support Localisation Section Disponibilité 10370-01 30.40 Livre Centre de documentation Géodésie Disponible Sea surface topography and marine geoid by airborne laser altimetry and shipborne ultrasound altimetry / Philippe Limpach (2010)
Titre : Sea surface topography and marine geoid by airborne laser altimetry and shipborne ultrasound altimetry Type de document : Thèse/HDR Auteurs : Philippe Limpach, Auteur Editeur : Zurich : Schweizerischen Geodatischen Kommission / Commission Géodésique Suisse Année de publication : 2010 Collection : Geodätisch-Geophysikalische Arbeiten in der Schweiz, ISSN 0257-1722 num. 80 Importance : 208 p. Format : 20 x 30 cm ISBN/ISSN/EAN : 978-3-908440-24-6 Note générale : Bibliographie
Doctoral thesisLangues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de géodésie spatiale
[Termes IGN] anomalie de pesanteur
[Termes IGN] bathymétrie acoustique
[Termes IGN] Crète (île)
[Termes IGN] données Jason
[Termes IGN] Egée, mer
[Termes IGN] géoïde altimétrique
[Termes IGN] géoïde local
[Termes IGN] geoïde marin
[Termes IGN] géoréférencement direct
[Termes IGN] GPS en mode cinématique
[Termes IGN] GPS en mode différentiel
[Termes IGN] océanographie dynamique
[Termes IGN] relief de la surface de la mer
[Termes IGN] sondage acoustique
[Termes IGN] surface de la mer
[Termes IGN] télémétrie laser aéroporté
[Termes IGN] validation des donnéesIndex. décimale : 30.83 Applications océanographiques de géodésie spatiale Résumé : (Auteur) The aim of this project was to contribute to the improvement of sea level monitoring and to provide local-scale information on the short-wavelength structure of the marine gravity field, by developing enhanced methods for offshore sea surface height observations. The methods include airborne laser altimetry, shipborne ultrasound altimetry and GPS-equipped buoys. In a first step, instrumental aspects of sea surface height observations by airborne and shipborne altimetry were analyzed. Precise position and attitude of the range sensor are crucial for an accurate sea surface height computation. For this purpose, the survey aircraft and boat were equipped with a multi-antenna GPS array and inertial systems. Sea surface heights were computed from the range data by direct georeferencing. Important aspects are the influences of errors in the differential kinematic GPS positioning and in the attitude determination, as well as the calibration of boresight misalignments. In a second step, the obtained sea surface heights were reduced to mean sea surface by applying corrections for geophysical effects, including waves, tides, atmospheric pressure and wind forcing.
In the framework of this work, several regional campaigns for sea surface height surveys based on airborne and shipborne altimetry were carried out in the Eastern Mediterranean Sea. Dedicated surveys, including deployments of GPS buoys, were performed along Jason-1 radar altimetry ground tracks. Airborne laser altimetry data was acquired along densely spaced flight tracks covering an area of 200 by 200km around the western part of the island of Crete, Greece, in the vicinity of the Hellenic Trench. The objective was the determination of a detailed regional geoid and sea surface topography model in the framework of the GAVDOS project, funded by the European Union. Furthermore, several shipborne campaigns for sea surface height observations were carried out in the North Aegean Sea, in the vicinity of the North Aegean Trough.
Based on the airborne and shipborne altimetry data, a high-resolution sea surface topography of the survey areas was computed, with an accuracy of better than 10 cm. Geoid undulations were derived from the sea surface heights by subtracting the mean dynamic ocean topography induced by oceanic currents. Around western Crete, the geoid obtained from airborne laser altimetry is characterized by very large gradients, with an average height difference of 20m along a distance of only 200km and maximum local gradients of 22 cm/km. These gradients are a clear indication for significant gravity effects caused by the bathymetry and the geodynamic system of the Hellenic Trench. In the survey area in the North Aegean Sea, the geoid obtained from shipborne altimetry shows a distinct depression of 1.5 m, indicating a connection with the bathymetry and the geodynamic features of the North Aegean Trough.
The high resolution and accuracy of the sea surface and geoid heights obtained were verified by comparisons with mean sea surface models from multi-mission satellite radar altimetry, as well as with global and regional geoid models. The reduction of the geoid heights for modeled mass effects of topography, bathymetry, marine sedimentary deposits and crust-mantle boundary revealed pronounced gravity anomalies related to the geodynamic processes in the survey areas.Note de contenu : 1 Introduction
1.1 Motivation and Goals
1.2 Geophysical Characteristics of the Eastern Mediterranean
1.3 Former Work by the GGL in Related Fields of Research
1.4 Research Tasks and Project Outline
2 Geoid, Sea Surface and Dynamic Ocean Topography
2.1 Introduction
2.2 Geoid
2.3 Mean Sea Surface
2.4 Sea Level Anomaly
2.5 Dynamic Ocean Topography
2.6 Permanent Tide
3 Geophysical Effects on Sea Surface Heights
3.1 Introduction
3.2 Ocean Waves
3.3 Tides
3.4 Atmospheric Pressure and Wind Forcing
4 Airborne Laser Altimetry
4.1 Introduction
4.2 Instumental Setup
4.3 Laser Ranging
4.4 Laser Backscatter from Sea Surface
5 Shipborne Ultrasound Altimetry
5.1 Introduction
5.2 Instrumental Setup
5.3 Ultrasound Ranging
5.4 Sensor Synchronization
6 Direct Georeferencing
6.1 Introduction
6.2 Basic Principle
6.3 Kinematic GPS Positioning
6.4 Multi-Antenna GPS Attitude Determination
6.5 Boresight Misalignment Calibration in Airborne Altimetry
7 Sea Surface Heights by Airborne Laser Altimetry around Western Crete
7.1 GAVDOS Airborne Laser Altimetry Campaign
7.2 Instantaneous Sea Surface Height Profiles
7.3 Sea Surface Height Corrections
7.4 Repeatability Analysis
7.5 Time-Independent Sea Surface Topography
8 Sea Surface Heights by Shipborne Ultrasound Altimetry in the North Aegean Sea
8.1 Shipborne Ultrasound Altimetry Campaigns
8.2 Instantaneous Sea Surface Height Profiles
8.3 Sea Surface Height Corrections
8.4 Repeatability Analysis
8.5 Time-Independent Sea Surface Topography
9 Validation of Satellite Radar Altimetry Data
9.1 Introduction
9.2 Validation of Jason-1 Data with Airborne Laser Altimetry
9.3 Validation of Mean Sea Surface from Radar Altimetry
10 Geoscientific Exploitation of Airborne Altimetry Data around Western Crete
10.1 Marine Geoid, Gravity Anomalies and Deflections of the Vertical from Sea Surface Heights
10.2 Local Altimetric Geoid vs. Existing Models
10.3 Mean Dynamic Topography Estimation
10.4 Modeled Mass Effects on Geoid Heights and Gravity
10.5 Mass Reduction of Local Altimetric Geoid
11 Geoscientific Exploitation of Shipborne Altimetry Data in the North Aegean Sea
11.1 Marine Geoid, Gravity Anomalies and Deflections of the Vertical from Sea Surface Heights
11.2 Local Altimetric Geoid vs. Existing Models
11.3 Mean Dynamic Topography Estimation
11.4 Modeled Mass Effects on Geoid Heights and Gravity
11.5 Mass Reduction of Local Altimetric Geoid
12 Summary and ConclusionsNuméro de notice : 10369 Affiliation des auteurs : non IGN Autre URL associée : URL ETH Zurich Thématique : POSITIONNEMENT Nature : Thèse étrangère DOI : 10.3929/ethz-a-005876550 En ligne : https://www.sgc.ethz.ch/sgc-volumes/sgk-80.pdf Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=62408 Réservation
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Code-barres Cote Support Localisation Section Disponibilité 10369-01 30.83 Livre Centre de documentation Géodésie Disponible vol 47 n° 12 Tome 1 - December 2009 - Calibration and validation of ALOS sensors (PalSAR, AVNIR-2 and PRISM) and their use for bio-and geophysical parameters retrievals. Part 1 (Bulletin de IEEE Transactions on geoscience and remote sensing) / C. RufPermalinkGetting down to business: SMOS operations and products / S. Mecklenburg in ESA bulletin, n° 137 (February 2009)PermalinkAmélioration et création de couches géographiques avalanches et mises en ligne à partir d'un serveur cartographique / Emilien Parisot (2009)PermalinkAutonomous integrity: an error isotropy-based approach for multiple fault conditions / M. Azaola-Saenz in Inside GNSS, Vol 4 n° 1 (January-Fabruary 2009)PermalinkInternational workshop on validation of geo-information products for crisis management, Valgeo 2009, 23- 25 November 2009, Ispra, Italy / Christina Corbane (2009)PermalinkValidation of geographic data for GMES using national reference data: some feedback on urban atlas and DEM / Jean-Philippe Cantou (2009)PermalinkValidation of MERIS Level-2 products in the Baltic Sea, the Namibian coastal area and the Atlantic Ocean / T. Ohde in International Journal of Remote Sensing IJRS, vol 28 n°3-4 (February 2007)PermalinkPractical satellite navigation: part 8 data acquisition / Huibert-Jan Lekkerkerk in Geoinformatics, vol 9 n° 8 (01/12/2006)PermalinkChoix optimal d'un modèle analytique de covariance pour la validation des mesures gravimétriques par la méthode de collocation (application : nord de l'Algérie) / S.A. Benahmed Daho in XYZ, n° 108 (septembre - novembre 2006)PermalinkASTER geometric performance / A. Iwasaki in IEEE Transactions on geoscience and remote sensing, vol 43 n° 12 (December 2005)Permalink