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Land-cover mapping in the Brazilian amazon using SPOT-4 Vegetation data and machine learning classification methods / João M.B. Carreiras in Photogrammetric Engineering & Remote Sensing, PERS, vol 72 n° 8 (August 2006)
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Titre : Land-cover mapping in the Brazilian amazon using SPOT-4 Vegetation data and machine learning classification methods Type de document : Article/Communication Auteurs : João M.B. Carreiras, Auteur ; J.M.C. Pereira, Auteur ; Y.E. Shimabukuro, Auteur Année de publication : 2006 Article en page(s) : pp 897 - 910 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse diachronique
[Termes IGN] apprentissage automatique
[Termes IGN] carte d'occupation du sol
[Termes IGN] cartographie numérique
[Termes IGN] classification ascendante hiérarchique
[Termes IGN] image SPOT-Végétation
[Termes IGN] Mato Grosso
[Termes IGN] occupation du solRésumé : (Auteur) The main objective of this study is to evaluate the feasibility of deriving a land-cover map of the state of Mato Grosso, Brazil, for the year 2000, using data from the 1 km SPOT-4 VEGETATION (VGT) sensor. For this purpose we used a VGT temporal series of 12 monthly composite images, which were further transformed to physical-meaningful fraction images of vegetation, soil, and shade. Classification of fraction images was implemented using several recent machine learning developments, namely, filtering input training data and probability bagging in a classification tree approach. A 10-fold cross validation accuracy assessment indicates that filtering and probability bagging are effective at increasing overall and class-specific accuracy. Overall accuracy and mean probability of class membership were 0.88 and 0.80, respectively. The map of probability of class membership indicates that the larger errors are associated with cerrado savonna and semi-deciduous forest. Copyright ASPRS Numéro de notice : A2006-313 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.72.8.897 En ligne : https://doi.org/10.14358/PERS.72.8.897 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28037
in Photogrammetric Engineering & Remote Sensing, PERS > vol 72 n° 8 (August 2006) . - pp 897 - 910[article]On the blending of the Landsat and MODIS surface reflectance: predicting daily Landsat surface reflectance / F. Gao in IEEE Transactions on geoscience and remote sensing, vol 44 n° 8 (August 2006)
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Titre : On the blending of the Landsat and MODIS surface reflectance: predicting daily Landsat surface reflectance Type de document : Article/Communication Auteurs : F. Gao, Auteur ; J. Masek, Auteur ; M. Schwaller, Auteur ; D. Gramond, Auteur Année de publication : 2006 Article en page(s) : pp 2207 - 2218 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] accentuation d'image
[Termes IGN] fusion d'images
[Termes IGN] image Landsat-ETM+
[Termes IGN] image Terra-MODIS
[Termes IGN] précision géométrique (imagerie)
[Termes IGN] réflectance du solRésumé : (Auteur) The 16-day revisit cycle of Landsat has long limited its use for studying global biophysical processes, which evolve rapidly during the growing season. In cloudy areas of the Earth, the problem is compounded, and researchers are fortunate to get two to three clear images per year. At the same time, the coarse resolution of sensors such as the Advanced Very High Resolution Radiometer and Moderate Resolution Imaging Spectroradiometer (MODIS) limits the sensors' ability to quantify biophysical processes in heterogeneous landscapes. In this paper, the authors present a new spatial and temporal adaptive reflectance fusion model (STARFM) algorithm to blend Landsat and MODIS surface reflectance. Using this approach, high-frequency temporal information from MODIS and high-resolution spatial information from Landsat can be blended for applications that require high resolution in both time and space. The MODIS daily 500-m surface reflectance and the 16-day repeat cycle Landsat Enhanced Thematic Mapper Plus (ETM+) 30-m surface reflectance are used to produce a synthetic "daily" surface reflectance product at ETM+ spatial resolution. The authors present results both with simulated (model) data and actual Landsat/MODIS acquisitions. In general, the STARFM accurately predicts surface reflectance at an effective resolution close to that of the ETM+. However, the performance depends on the characteristic patch size of the landscape and degrades somewhat when used on extremely heterogeneous fine-grained landscapes. Copyright IEEE Numéro de notice : A2006-395 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2006.872081 En ligne : https://doi.org/10.1109/TGRS.2006.872081 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28119
in IEEE Transactions on geoscience and remote sensing > vol 44 n° 8 (August 2006) . - pp 2207 - 2218[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-06081 RAB Revue Centre de documentation En réserve L003 Disponible Temporal influences on Landsat-5 thematic image in visible band / Y. Liu in International Journal of Remote Sensing IJRS, vol 27 n°15-16 (August 2006)
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Titre : Temporal influences on Landsat-5 thematic image in visible band Type de document : Article/Communication Auteurs : Y. Liu, Auteur ; T. Hiyama, Auteur ; et al., Auteur Année de publication : 2006 Article en page(s) : pp 3183 - 3201 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] atmosphère terrestre
[Termes IGN] bande visible
[Termes IGN] changement climatique
[Termes IGN] effet atmosphérique
[Termes IGN] environnement
[Termes IGN] image Landsat-TM
[Termes IGN] image multitemporelle
[Termes IGN] invariantRésumé : (Auteur) The Landsat Thematic Mapper (TM) has provided fine spatial resolution data spanning two decades. These data are useful for long-term studies of environmental change. However, temporal factors such as sensor degradation, variation in Sun–target–satellite geometry, and variable atmospheric conditions can create inconsistencies in multi-temporal images and complicate data analysis. This study investigated temporal influences on satellite data. The methodology was developed based on a theoretically derived relationship between pixel values of pseudo-invariant features (PIFs) across time. The relationship was validated using multi-temporal Landsat-5 TM images, which showed that temporal factors contribute to PIF pixel values in both multiplicative and additive ways. For Landsat-5 TM level-0 data, temporal influences were simulated in terms of multiplicative and additive components. The results showed that atmospheric variation is the most influential factor, followed by variation in the Sun–target–satellite geometry and TM sensor degradation. Copyright Taylor & Francis Numéro de notice : A2006-336 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160600647258 En ligne : https://doi.org/10.1080/01431160600647258 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28060
in International Journal of Remote Sensing IJRS > vol 27 n°15-16 (August 2006) . - pp 3183 - 3201[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 080-06081 RAB Revue Centre de documentation En réserve L003 Disponible MODIS enhanced vegetation index predicts tree species richness across forested ecoregions in the contiguous USA / R.H. Waring in Remote sensing of environment, vol 103 n° 2 (30/07/2006)
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Titre : MODIS enhanced vegetation index predicts tree species richness across forested ecoregions in the contiguous USA Type de document : Article/Communication Auteurs : R.H. Waring, Auteur ; Nicholas C. Coops, Auteur ; Weiliang Fan, Auteur ; et al., Auteur Année de publication : 2006 Article en page(s) : pp 218 - 226 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] biodiversité
[Termes IGN] changement climatique
[Termes IGN] Enhanced vegetation index
[Termes IGN] Etats-Unis
[Termes IGN] forêt
[Termes IGN] image Terra-MODIS
[Termes IGN] Ploynôme
[Termes IGN] production agricole végétaleRésumé : (Auteur) With the expectation of major shifts in climate, ecologists have focused attention on developing predictive relationships between current climatic conditions and species diversity. Climatic relationships appear best defined at regional rather than local levels. In reference to tree diversity, process-based models that express gross primary production (GPP) as an integrated function of climate seem most appropriate. Since 2000, NASA's MODIS satellite has provided composite data at 16-day intervals to produce estimates of GPP that compare well with direct measurements. The MODIS enhanced vegetation index (EVI), which is independent of climatic drivers, also appears a good surrogate to estimate seasonal patterns in GPP. In this paper we identified 65 out of 84 delineated ecoregions distributed across the contiguous U.S.A., within which sufficient (? 200) Federal Inventory and Analysis survey plots were available to predict the total number of tree species, which varied from 17 to 164. Four different formulations of EVI were compared: The annual maximum, the annual integrated, the growing season defined mid-point and growing season averaged values. The growing season mid-point EVI defined the beginning and end of the active growing season. In all formulations of EVI, a polynomial function accounted for about 60% of the observed variation in tree diversity, with additional precision increasing to 80% when highly fragmented ecoregions with Numéro de notice : A2006-322 Affiliation des auteurs : non IGN Thématique : BIODIVERSITE/FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2006.05.007 En ligne : https://doi.org/10.1016/j.rse.2006.05.007 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28046
in Remote sensing of environment > vol 103 n° 2 (30/07/2006) . - pp 218 - 226[article]Resolution dependent errors in remote sensing of cultivated areas / M. Ozdogan in Remote sensing of environment, vol 103 n° 2 (30/07/2006)
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Titre : Resolution dependent errors in remote sensing of cultivated areas Type de document : Article/Communication Auteurs : M. Ozdogan, Auteur ; Curtis E. Woodcock, Auteur Année de publication : 2006 Article en page(s) : pp 203 - 217 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse comparative
[Termes IGN] analyse de sensibilité
[Termes IGN] Californie (Etats-Unis)
[Termes IGN] Chine
[Termes IGN] cultures
[Termes IGN] distribution spatiale
[Termes IGN] erreur de classification
[Termes IGN] image Ikonos
[Termes IGN] limite de résolution géométrique
[Termes IGN] précision infrapixellaire
[Termes IGN] seuillage d'image
[Termes IGN] surface cultivée
[Termes IGN] variogrammeRésumé : (Auteur) Remote sensing has become a common and effective method for estimating the areal coverage of land cover classes. One class of particular interest is agriculture as area estimates of cultivated lands are important for purposes such as estimating yields or irrigation needs. The synoptic coverage of satellite imagery and the relative ease of automated analysis have led to widespread mapping of agriculture using remote sensing. The accuracy of area estimates derived from these maps is known to be related to the accuracy of the maps. However, even in the situation where the map is very accurate, errors in area estimates may occur. These errors result from the behavior of the distribution of subpixel proportions of cultivated areas, and how that behavior changes as a result of sensor spatial resolution and class definitions. The sensitivity of estimates of cultivated areas to sensor spatial resolution and to the choice of threshold used to define cultivated land is explored in six agriculturally distinct locations around the world. Using a beta model for the distribution of subpixel proportions that is parameterized using variograms, it is possible to model the distribution of subpixel proportions for any spatial resolution. When the spatial resolution is small with respect to the spatial structure of the landscape (as measured by the variogram range) use of any class definition threshold produces an estimate very close to the true area coverage. On the other hand, as the resolution becomes coarse in relation to the variogram range, the subpixel proportions are no longer concentrated at the extremes of the distribution and the difference between the estimated and the true area has greater sensitivity to the selected threshold used to define classes. Thus, for the cases examined here, both the resolution and the class definition threshold have a strong influence on area estimates. The spatial resolutions where errors can be large depend on landscape spatial structure, which can be quantified using variograms. The net effect is that for the same spatial resolution, some places will exhibit much larger errors in area estimates than others. For the site in the Anhui province of China, where agricultural fields are very small (0.07 ha on the average), area estimates are highly sensitive to class definition thresholds even at the relatively fine resolution of 45 m. Conversely, in California (USA) spatial resolutions as coarse as 500 m can be used to reliably estimate cultivated areas. Results also suggest that the proportion of the total area that is cultivated significantly influences the accuracy of area estimates. When the area proportion is low, the class definition threshold must also be low to achieve an accurate area estimate. Conversely, in areas dominated by agriculture, a very stringent class definition of cultivated lands is required for accurate area estimates. While explored in the context of estimation of cultivated areas, the findings presented here are generic to the problem of area estimation using remote sensing. Copyright Elsevier Numéro de notice : A2006-321 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2006.04.004 En ligne : https://doi.org/10.1016/j.rse.2006.04.004 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28045
in Remote sensing of environment > vol 103 n° 2 (30/07/2006) . - pp 203 - 217[article]Soil moisture mapping and AMSR-E validation using the PSR in SMEX02 / R. Bindlish in Remote sensing of environment, vol 103 n° 2 (30/07/2006)
PermalinkAssessment of Quickbird high spatial resolution imagery to detect red attack damage due to mountain pine beetle infestation / Nicholas C. Coops in Remote sensing of environment, vol 103 n° 1 (15 July 2006)
PermalinkQuantifying spatial heterogeneity at the landscape scale using variogram models / S. Garrigues in Remote sensing of environment, vol 103 n° 1 (15 July 2006)
PermalinkTree cover and height estimation in the Fennoscandian tundra-taiga transition zone using multiangular MISR data / J. Heiskanen in Remote sensing of environment, vol 103 n° 1 (15 July 2006)
PermalinkCloud base heights retrieved during night-time conditions with MODIS data / K. Hutchinson in International Journal of Remote Sensing IJRS, vol 27 n°12-13-14 (July 2006)
PermalinkFuzzy classification: a case study using Landsat TM images in Iran / A.M. Lak in GIM international, vol 20 n° 7 (July 2006)
PermalinkA new method to determine near surface air temperature from satellite observations / Ranjit Singh in International Journal of Remote Sensing IJRS, vol 27 n°12-13-14 (July 2006)
PermalinkRoyal Netherlands army to Afghanistan in August: latest map data from east view cartographic / F. Artes in Geoinformatics, vol 9 n° 5 (01/07/2006)
PermalinkStudy of tectonics in relation to the seismic activity of the Davalt area, Nasik district, Maharashtra, India using remote sensing and GIS techniques / J. Sarup in International Journal of Remote Sensing IJRS, vol 27 n°12-13-14 (July 2006)
PermalinkLandsat cross-calibration based on near simultaneous imaging of common targets / P.M. Teillet in Remote sensing of environment, vol 102 n° 3-4 (15 June2006)
PermalinkAbsolute position estimation using IRS satellite images / Y.S. Oh in ISPRS Journal of photogrammetry and remote sensing, vol 60 n° 4 (June - July 2006)
PermalinkApport de la classification combinée supervisée et non supervisée d'une image Landsat ETM+ à la cartographie géologique de la boutonnière de Kerdous, anti-atlas, Maroc / M. Hakdaoui in Photo interprétation, vol 42 n° 2 (Juin 2006)
PermalinkArtificial neural networks for mapping regional-scale upland vegetation from high spatial resolution imagery / H. Mills in International Journal of Remote Sensing IJRS, vol 27 n° 11 (June 2006)
Permalinkn° 182 - Juin 2006 - Des capteurs à l'imagerie : symposium ISPRS commission technique 1, [Actes], Marne la Vallée, 3 - 6 juillet 2006. WG 1/2 SAR and LIDAR, WG 1/3 multi-platform sensing and sensor network (Bulletin de Revue Française de Photogrammétrie et de Télédétection) / Société française de photogrammétrie et de télédétection
PermalinkCo-registration and inter-sensor comparison of MODIS and LANDSAT 7 ETM+ data aimed at NDVI calculation / P. Boccardo in Revue Française de Photogrammétrie et de Télédétection, n° 182 (Juin 2006)
PermalinkEnhancing a sequence of facial images combining multiple undersampled and compressed images / G. Scarmana in Photogrammetric record, vol 21 n° 114 (June - August 2006)
PermalinkEvaluation of the potential of SAR ERS and ASAR Envisat sensors in multi-incidence and multi-polarisation modes for landscape study in French Guyana: examples of Kourou and Saint Laurent du Maroni / J.L. Kouame in Revue Française de Photogrammétrie et de Télédétection, n° 182 (Juin 2006)
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PermalinkHigh-resolution change estimation of soil moisture using L-band radiometer and Radar observations made during the SMEX02 experiments / U. Narayan in IEEE Transactions on geoscience and remote sensing, vol 44 n° 6 (June 2006)
PermalinkHigh spatial resolution satellite imagery, DEM derivatives, and image segmentation for the detection of mass wasting processes / J. Barlow in Photogrammetric Engineering & Remote Sensing, PERS, vol 72 n° 6 (June 2006)
PermalinkLocalized soft classification for super-resolution mapping of the shoreline / Aidy M. Muslim in International Journal of Remote Sensing IJRS, vol 27 n° 11 (June 2006)
PermalinkMapping built-up areas from multitemporal interferometric SAR images: a segment-based approach / Leena Matikainen in Photogrammetric Engineering & Remote Sensing, PERS, vol 72 n° 6 (June 2006)
PermalinkMonitoring the maximum turbidity zone and detecting fine-scale turbidity features in the Gironde estuary using high spatial resolution satellite sensor (SPOT HRV, Landsat ETM+) data / D. Doxaran in International Journal of Remote Sensing IJRS, vol 27 n° 11 (June 2006)
PermalinkA new intensity-hue-saturation fusion approach to image fusion with a tradeoff parameter / M. Choi in IEEE Transactions on geoscience and remote sensing, vol 44 n° 6 (June 2006)
PermalinkSeaWIFS discrimination of harmful algal bloom evolution / P.I. Miller in International Journal of Remote Sensing IJRS, vol 27 n° 11 (June 2006)
PermalinkSubpixel analysis of Landsat ETM/sup +/ using self-organizing map (SOM) neural networks for urban land cover characterization / S. Lee in IEEE Transactions on geoscience and remote sensing, vol 44 n° 6 (June 2006)
PermalinkLa télédétection et les structures d'impact météoritique multiple de Rochechouart (Limousin, France) / A.L. Guy Tamain in Photo interprétation, vol 42 n° 2 (Juin 2006)
PermalinkUtilisation des images satellites à haute résolution pour la surveillance d'une zone côtière / Valerio Baiocchi in Géomatique expert, n° 51 (01/06/2006)
PermalinkAccuracy analysis for DSM and orthoimages derived from SPOT HRS stereo data using direct georeferencing / Peter Reinartz in ISPRS Journal of photogrammetry and remote sensing, vol 60 n° 3 (May 2006)
PermalinkComparison of 3D physical and empirical models for generating DSMs from stereo HR images / Thierry Toutin in Photogrammetric Engineering & Remote Sensing, PERS, vol 72 n° 5 (May 2006)
PermalinkDEM generation from SPOT-5 3-fold along track stereoscopic imagery using autocalibration / W. Kornus in ISPRS Journal of photogrammetry and remote sensing, vol 60 n° 3 (May 2006)
PermalinkFirst images from Japan's Daichi, Advanced Land Observing Satellite / Mathias Lemmens in GIM international, vol 20 n° 5 (May 2006)
PermalinkPermalinkGeneration of DSMs from SPOT-5 in-track HRS and across-track HRG stereo data using spatiotriangulation and autocalibration / Thierry Toutin in ISPRS Journal of photogrammetry and remote sensing, vol 60 n° 3 (May 2006)
PermalinkHigh-resolution image fusion: methods to preserve spectral and spatial resolution / A. Svab in Photogrammetric Engineering & Remote Sensing, PERS, vol 72 n° 5 (May 2006)
PermalinkMeasurement of the left-lateral displacement of ms 8.1 Kunlun earthquake on 14 November 2001 using Landsat-7 ETM+ imagery / J.G. Liu in International Journal of Remote Sensing IJRS, vol 27 n°9-10 (May 2006)
PermalinkMTF-tailored multiscale fusion of high-resolution multispectral and panchromatic imagery / B. Aiazzi in Photogrammetric Engineering & Remote Sensing, PERS, vol 72 n° 5 (May 2006)
PermalinkMulti-image matching for DSM generation from Ikonos imagery / Li Zhang in ISPRS Journal of photogrammetry and remote sensing, vol 60 n° 3 (May 2006)
PermalinkPhotogrammètre en France aujourd'hui : espoirs et difficultés / Françoise de Blomac in SIG la lettre, n° 77 (mai 2006)
PermalinkSensor orientation via RPCs / Clive Simpson Fraser in ISPRS Journal of photogrammetry and remote sensing, vol 60 n° 3 (May 2006)
PermalinkSPOT 5 HRS geometric performances: using block adjustment as a key issue to improve quality of DEM generation / Aurélie Bouillon in ISPRS Journal of photogrammetry and remote sensing, vol 60 n° 3 (May 2006)
PermalinkSurface mapping using image triplets: case studies benefit assessment in comparison to stereo image processing / H. Raggam in Photogrammetric Engineering & Remote Sensing, PERS, vol 72 n° 5 (May 2006)
PermalinkUpdating topographic mapping in Great Britain using imagery from high-resolution satellite sensors / David A. Holland in ISPRS Journal of photogrammetry and remote sensing, vol 60 n° 3 (May 2006)
PermalinkUse of ASAR images to study the evolution of the Prestige oil spill off the Galician coast / J.M. Torres Palenzuela in International Journal of Remote Sensing IJRS, vol 27 n°9-10 (May 2006)
PermalinkMonitoring active volcanism with the autonomous sciencecraft experiment on EO-1 / A.G. Chien in Remote sensing of environment, vol 101 n° 4 (30/04/2006)
PermalinkCoal fire mapping from satellite thermal IR data: a case example in Jharia Coalfield, Jharkhand, India / R.S. Chatterjee in ISPRS Journal of photogrammetry and remote sensing, vol 60 n° 2 (April 2006)
PermalinkDetermination and improvement of spatial resolution of the CCD-line-scanner system ADS40 / R. Reulke in ISPRS Journal of photogrammetry and remote sensing, vol 60 n° 2 (April 2006)
PermalinkA new wavelet-based image fusion method for remotely sensed data / C. Yunhao in International Journal of Remote Sensing IJRS, vol 27 n°7-8 (April 2006)
PermalinkRelevance of hyperspectral data for natural resources management / T.V. Ramachandra in GIS development, vol 10 n° 4 (April 2006)
PermalinkSea ice monitoring by L-band SAR: an assessment based on literature and comparisons of JERS-1 and ERS-1 imagery / W. Dierking in IEEE Transactions on geoscience and remote sensing, vol 44 n° 4 (April 2006)
PermalinkInterrelationships between spatial resolution and per-pixel classifiers for extracting information classes part 1: the urban environment / J.R. Jensen (29/03/2006)
PermalinkInterrelationships between spatial resolution and per-pixel classifiers for extracting information classes part 2: the natural environment / M.E. Hodgson (29/03/2006)
PermalinkObservations of surface and atmospheric features from passive microwave satellite measurements / R.R. Ferraro (29/03/2006)
PermalinkActivities of calibration and validation for the Kompsat-2 MSC data / D.H. Lee in Revue Française de Photogrammétrie et de Télédétection, n° 181 (Mars 2006)
PermalinkAnalyse par télédétection et pétrographie de la structure circulaire de Vélingara (Casamance, Sénégal) / Souleye Wade in Photo interprétation, vol 42 n° 1 (Mars 2006)
PermalinkContribution de la télédétection multispectrale et des données de terrain à l'estimation du rôle de la fracturation dans la contamination de la nappe du Maastrichtien inférieur de la bordure occidentale de Sra-Ouertane (Centre Ouest de la Tunisie) / H. Bahri in Photo interprétation, vol 42 n° 1 (Mars 2006)
PermalinkDEM generation using Quickbird stereo data without ground controls, using tie points only / Penggen Cheng in Geoinformatics, vol 9 n° 2 (01/03/2006)
PermalinkDétection et reconstruction de facettes 3D par approche hiérarchique par régions, à partir de couples d'images satellite THR / Nesrine Chehata in Bulletin d'information scientifique et technique de l'IGN, n° 75 (mars 2006)
PermalinkÉtude de l'efficacité de l'intégration de la capacité d'infiltration des roches affleurantes dans les modèles spatialisés d'érosion en utilisant la télédétection et le SIG : exemple au Liban / R. Bou Kheir in Photo interprétation, vol 42 n° 1 (Mars 2006)
PermalinkInterprétation de scènes urbaines à partir d'images satellitaires THR : reconstruction de facettes 3D et optimisation globale 3D / Nesrine Chehata in Bulletin d'information scientifique et technique de l'IGN, n° 75 (mars 2006)
PermalinkInterprétation visuelle des images satellitaires (Landsat TM, SPOT 4, IRS et Ikonos) et mouvements de masse : cas d'étude au Liban / C. Abdallah in Photo interprétation, vol 42 n° 1 (Mars 2006)
PermalinkMangrove mapping and monitoring: RS and GIS in conservation and management planning / S.K. Singh in GIM international, vol 20 n° 3 (March 2006)
PermalinkPermanent validation of the geometric calibration as a complement to MISR data production system / V. Jovanovic in Revue Française de Photogrammétrie et de Télédétection, n° 181 (Mars 2006)
PermalinkReality-based 3D city models from aerial and satellite data: cybercity-medeller and database / Daniela Poli in Geoinformatics, vol 9 n° 2 (01/03/2006)
PermalinkRoad extraction based on fuzzy logic and mathematical morphology from pan-sharpened Ikonos images / Ali Mohammadzadeh in Photogrammetric record, vol 21 n° 113 (March - May 2006)
PermalinkThe absolute positioning of spaceborne InSAR data using the integer ambiguity method / A. Swoter in Photogrammetric record, vol 21 n° 113 (March - May 2006)
PermalinkUtilisation cartographique d'images satellite à haute résolution / Valerio Baiocchi in Géomatique expert, n° 49 (01/03/2006)
PermalinkAn efficient method for identifying and filling surface depressions in digital elevation models for hydrologic analysis and modelling / L. Wang in International journal of geographical information science IJGIS, vol 20 n° 2 (february 2006)
PermalinkContextual reconstruction of cloud-contaminated multitemporal multispectral image / F. Melgani in IEEE Transactions on geoscience and remote sensing, vol 44 n° 2 (February 2006)
PermalinkIncorporating remote sensing information in modelling house values: a regression tree approach / D. Yu in Photogrammetric Engineering & Remote Sensing, PERS, vol 72 n° 2 (February 2006)
PermalinkParcel-based classification / J. Wijnant in GEO: Geoconnexion international, vol 5 n° 2 (february 2006)
PermalinkPreparing the use of Pleiades images for mapping purposes : preliminary assessments at IGN-France / Jean-Philippe Cantou (01/02/2006)
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PermalinkSpatiotriangulation with multisensor HR stereo-images / Thierry Toutin in IEEE Transactions on geoscience and remote sensing, vol 44 n° 2 (February 2006)
PermalinkAn empirical investigation of cross-sensor relationships of NDVI and red/near-infrared reflectance using EO-1 Hyperion data / T. Miura in Remote sensing of environment, vol 100 n° 2 (30 January 2006)
PermalinkReconstruction of cloud geometry from multi-view satellite images / G. Seiz in Remote sensing of environment, vol 100 n° 2 (30 January 2006)
PermalinkEstimating accuracy in optimal deconvolution of synthetic AMSR-E observations / A.S. Limaye in Remote sensing of environment, vol 100 n° 1 (15/01/2006)
PermalinkPermalinkAnalyse et évaluation de l'érosion hydrique et du ravinement associé dans la ville de Nioro-du-Rip (Sénégal) par télédétection et SIG / B. Ndoye (2006)
PermalinkApports de l'imagerie satellitaire à la mise à jour de l'information géographique dans les pays de la ceinture tropicale / J.L. Kouame (2006)
PermalinkApports de la télédétection et des SIG à la définition de la sensibilité des sols à l'érosion et au suivi de l'occupation du sol sur l'ile d'Anjouan / A. Amir (2006)
PermalinkAssessment of the potential of MERIS near-infrared water vapour products to correct ASAR interferometric measurements / Z. Li in International Journal of Remote Sensing IJRS, vol 27 n°1-2 (January 2006)
PermalinkBadly posed classification of remotely sensed images : an experimental comparison of existing data labeling systems / A. Baraldi in IEEE Transactions on geoscience and remote sensing, vol 44 n° 1 (January 2006)
PermalinkElaboration d'un plan d'occupation des sols dans un secteur du Tigray (Ethiopie) / Muriel Nouguier (2006)
PermalinkEtude bibliographique pour la mise en place d'une chaine d'acquisition multicapteurs très haute résolution sur un vecteur volant à basse altitude / Antoine Gademer (2006)
PermalinkEtude de différents facteurs influant les classifications d'images multi-résolution / F. Kazemipour (2006)
PermalinkA multiresolution and optimization-based image matching approach: An application to surface reconstruction from SPOT5-HRS stereo imagery / Marc Pierrot-Deseilligny (2006)
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PermalinkOn the optimization and selection of wavelet texture for feature extraction from high-resolution satellite imagery with application towards urban-tree delineation / Y.O. Ouma in International Journal of Remote Sensing IJRS, vol 27 n°1-2 (January 2006)
PermalinkPostflood damage evaluation using landsat TM and ETM+ data integrated with DEM / M. Gianinetto in IEEE Transactions on geoscience and remote sensing, vol 44 n° 1 (January 2006)
PermalinkPermalinkThe recognition of road network from high-resolution satellite remotely sensed data using image morphological characteristics / C. Zhu in International Journal of Remote Sensing IJRS, vol 26 n° 24 (December 2005)
PermalinkDetecting major terrain parameters relating to mass movements' occurrence using GIS, remote sensing and statistical correlations, case study Lebanon / C. Abdallah in Remote sensing of environment, vol 99 n° 4 (15/12/2005)
PermalinkFloodplain water storage in the Negro river basin estimated from microwave remote sensing of inundation area and water levels / Frédéric Frappart in Remote sensing of environment, vol 99 n° 4 (15/12/2005)
PermalinkMapping submergent aquatic vegetation in the US Great Lakes using Quickbird satellite data / P.T. Wolter in International Journal of Remote Sensing IJRS, vol 26 n° 23 (December 2005)
PermalinkUsing satellite imagery and GIS for land-use and land-cover change mapping in an estuarine watershed / X. Yang in International Journal of Remote Sensing IJRS, vol 26 n° 23 (December 2005)
PermalinkASTER DEM performance / Hiroyuki Fujisada in IEEE Transactions on geoscience and remote sensing, vol 43 n° 12 (December 2005)
PermalinkLa cartographie spatiale accompagne les enquêteurs / A.M. Bernard in SPOT magazine, n° 40 (01/12/2005)
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