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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)
[article]
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 Landsat 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)
[article]
Titre : Landsat cross-calibration based on near simultaneous imaging of common targets Type de document : Article/Communication Auteurs : P.M. Teillet, Auteur ; B.L. Markham, Auteur ; R.R. Irish, Auteur Année de publication : 2006 Article en page(s) : pp 264 - 270 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s)
[Termes IGN] analyse comparative
[Termes IGN] bande spectrale
[Termes IGN] étalonnage de capteur (imagerie)
[Termes IGN] étalonnage radiométrique
[Termes IGN] flore locale
[Termes IGN] image Landsat-ETM+
[Termes IGN] image Landsat-TM
[Termes IGN] Nevada (Etats-Unis)Résumé : (Auteur) The paper presents the results of an extended analysis of image data sets acquired during the tandem-orbit configuration in 1999 for the purposes of radiometric cross-calibration of the Landsat-7 Enhanced Thematic Mapper Plus (ETM+) and Landsat-5 Thematic Mapper (TM) sensors. Earlier work focused on the tandem pair for the Railroad Valley Playa, Nevada (RVPN) site to tie down the Landsat-5 TM calibration based on the more accurate Landsat-7 ETM+ calibration. This paper describes new results based on as many as eight tandem image pairs. The additional tandem images are of primarily vegetated areas for which little or no ground reference data were available. Increasing the number of tandem pairs yielded results for the Landsat 5 TM gain coefficients within approximately +1% of the RVPN-based results in spectral bands 1, 2, 3 and 7, and within -2% and -4% of the RVPN-based results for spectral bands 4 and 5, respectively. Copyright Elsevier Numéro de notice : A2006-249 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2006.02.005 En ligne : https://doi.org/10.1016/j.rse.2006.02.005 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27976
in Remote sensing of environment > vol 102 n° 3-4 (15 June2006) . - pp 264 - 270[article]Apport 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)
[article]
Titre : Apport 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 Type de document : Article/Communication Auteurs : M. Hakdaoui, Auteur ; A. Rahimi, Auteur Année de publication : 2006 Article en page(s) : pp 46 - 51 Note générale : Bibliographie Langues : Français (fre) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] Atlas marocain
[Termes IGN] carte géologique
[Termes IGN] classification dirigée
[Termes IGN] classification hybride
[Termes IGN] classification ISODATA
[Termes IGN] classification non dirigée
[Termes IGN] classification par maximum de vraisemblance
[Termes IGN] image Landsat-ETM+
[Termes IGN] Maroc
[Termes IGN] modèle numérique de terrainRésumé : (Auteur) Cette étude vise à développer un algorithme de classification hybride en combinant deux approches : supervisée en utilisant la règle de maximum de vraisemblance et non supervisée en utilisant la technique ISODATA. Nous avons testé cette méthodologie sur la boutonnière de Kerdous en utilisant les données du capteur Landsat ETM+. La classification est en accord avec la carte réalisée par photo-interprétation. Cependant, des anomalies d'affectation persistent et qui nécessitent une vérification sur le terrain. Notre technique combinée permet d'améliorer la discrimination de nouveaux faciès géologiques avec des surfaces plus homogènes et moins bruitées. Elle contribue à la réorientation des travaux de cartographie et à la révision des idées sur l'évolution méga-structurale de cette région. Copyright Editions Eska Numéro de notice : A2006-526 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28249
in Photo interprétation > vol 42 n° 2 (Juin 2006) . - pp 46 - 51[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 104-06021 RAB Revue Centre de documentation En réserve L003 Disponible Co-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)
[article]
Titre : Co-registration and inter-sensor comparison of MODIS and LANDSAT 7 ETM+ data aimed at NDVI calculation Type de document : Article/Communication Auteurs : P. Boccardo, Auteur ; Enrico Borgogno Mondino, Auteur ; et al., Auteur Année de publication : 2006 Conférence : ISPRS 2006, Commission 1 Symposium, From sensors to imagery 03/07/2006 06/07/2006 Champs-sur-Marne [Paris Marne-la-Vallée] France OA ISPRS Archives Article en page(s) : pp 74 - 79 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse comparative
[Termes IGN] erreur systématique
[Termes IGN] homologie
[Termes IGN] image Landsat-ETM+
[Termes IGN] image Terra-MODIS
[Termes IGN] limite de résolution géométrique
[Termes IGN] Normalized Difference Vegetation Index
[Termes IGN] superposition d'imagesRésumé : (Auteur) To evaluate accuracy of low resolution vegetation mapping for hydrological purposes, a comparative study of NDVI images derived from MODIS and Landsat 7 ETM+ data has been done. Main goal is to understand how effective MODIS images can be for vegetation characterization on large areas, as compared to the Landsat 7 ETM+ ones. In this paper a methodology is proposed with the aim of measuring the difference between NDVI values derived from the two different data, considering synthetic parameters and investigating their dependency on the geometric resolution of the images. Great attention was paid to the problem of the geometric co-registration of the two types of data. This is a very sensitive parameter for the subsequent analysis. A mixed approach was adopted: images were firstly orthoprojected to eliminate sensor geometry and relief displacement effects; subsequently, a refining image-to-image co-registration procedure was carried out through a homographic transformation implemented in a self-developed routine. Two pairs of contemporary images (MODIS and Landsat 7) were used as benchmarks for our tests. Simplified procedures aimed at calibrating images and at removing atmospheric noise were performed. The resulting corrected images were used to calculate NDVI images. These ones (two pairs) were then compared through a statistical approach in order to investigate how a different geometric resolution can influence the NDVI values. The proposed approach is not a traditional image based (matrix comparison) but a new one. NDVI value correspondences were considered between the MODIS pixel and the group of Landsat pixels belonging to the polygon which represents the considered MODIS pixel in the Landsat image space. Statistics extracted on-the-fly from these Landsat pixels were used to investigate in depth the relationship between them and NDVI value of the corresponding MODIS pixel. NDVI differences were calculated between the single NDVI MODIS values and a synthetic parameter (mean value) of the homologous Landsat pixel group. A direct comparison between the NDVI values obtained from MODIS and Landsat 7 images has shown a systematic error that can be read as bias (MODIS NDVI over estimation). This led the authors to determine a suitable model in order to eliminate the bias, whose presence would have conditioned later comparisons. Original MODIS image was then corrected through the defined model. This has been designed to be suitable for any MODIS image acquired over the same area (parameterization was used). New NDVI differences were calculated using the corrected MODIS images and the previous Landsat 7 ones. In order to investigate the nature of the residual differences and to try to recognize the critical MODIS pixels, some considerations were made concerning the statistics of each corresponding group of Landsat pixels. A classification of the MODIS pixel was generated according to the behaviour of their differences with respect to the adopted statistics. Copyright SFPT Numéro de notice : A2006-624 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueNat DOI : sans En ligne : https://www.isprs.org/proceedings/XXXVI/part1/Papers/PS1-04.pdf Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28347
in Revue Française de Photogrammétrie et de Télédétection > n° 182 (Juin 2006) . - pp 74 - 79[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 018-06021 RAB Revue Centre de documentation En réserve L003 Disponible Monitoring 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)
[article]
Titre : Monitoring 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 Type de document : Article/Communication Auteurs : D. Doxaran, Auteur ; P. Castaing, Auteur ; S.J. Lavender, Auteur Année de publication : 2006 Article en page(s) : pp 2303 - 2321 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] estuaire
[Termes IGN] Gironde (estuaire)
[Termes IGN] image Landsat-ETM+
[Termes IGN] image SPOT-HRV
[Termes IGN] surveillance hydrologique
[Termes IGN] turbidité des eauxRésumé : (Auteur) This study concerns the quantification of suspended particulate matter in the highly turbid estuarine waters of the Gironde, France, from high spatial resolution remotely sensed data, SPOT (Satellite Pour l'Observation de la Terre) High Resolution Visible (HRV), Landsat Enhanced Thematic Mapper Plus (ETM+). The methodology is based on calibration relationships established between the remote sensing reflectance (Rrs) signal and suspended particulate matter concentration (SPM), from in situ optical measurements. These relationships are valid in the long term as Rrs ratios between near-infrared (NIR) and visible wavebands are relatively independent of the particle grain-size and mineralogy. Consequently, they can be applied to satellite images, even if no simultaneous in situ measurements are carried out concurrently with the satellite overpass. Selected satellite sensor data are corrected for atmospheric effects using radiative transfer code, then converted into surface water SPM concentrations according to the established calibration relationships. Resulting SPM maps are presented for different river flow and tidal conditions. These maps are used to locate the maximum turbidity zone and observe its tidal and seasonal movements. The high spatial resolution of SPOT HRV and Landsat ETM+ satellite sensor data also shows detailed turbidity features in the estuary, resulting from re-suspension phenomena over banks and turbulent currents. Copyright Taylor & Francis Numéro de notice : A2006-302 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160500396865 En ligne : https://doi.org/10.1080/01431160500396865 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28029
in International Journal of Remote Sensing IJRS > vol 27 n° 11 (June 2006) . - pp 2303 - 2321[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 080-06061 RAB Revue Centre de documentation En réserve L003 Exclu du prêt Subpixel 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)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)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)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)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)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)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)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)PermalinkMapping impervious surface type and sub-pixel abundance using Hyperion hyperspectral imagery / J. Falcone in Geocarto international, vol 20 n° 4 (December 2005 - February 2006)PermalinkMonitoring and modelling cropland loss in rapidly growing urban and depopulating rural counties using remotely sensed data and GIS / A.N. Petrov in Geocarto international, vol 20 n° 4 (December 2005 - February 2006)PermalinkQuantitative classification as a tool to show change in an urbanizing watershed / W.B. Clapham in International Journal of Remote Sensing IJRS, vol 26 n° 22 (November 2005)PermalinkSub-pixel estimation of urban land cover components with linear mixture model analysis and Landsat Thematic Mapper imagery / S. Lee in International Journal of Remote Sensing IJRS, vol 26 n° 22 (November 2005)PermalinkAnalysis of urban heat-island effect using ASTER and ETM+ data: separation of anthropogenic heat discharge and natural heat radiation from sensible heat flux / S. Katowski in Remote sensing of environment, vol 99 n° 1-2 (15 November 2005)PermalinkAménagement et développement rural dans le bas Loukkos (Maroc) : suivi et évaluation à l'aide de la télédetection et des SIG / R. Ragala in Photo interprétation, vol 41 n° 4 (Novembre 2005)PermalinkCaractérisation d'un habitat forestier tempéré par télédétection satellitale pour le suivi de populations aviennes : cas des mésanges en forêt de Larivour (Aube, France) / V. Godard in Photo interprétation, vol 41 n° 4 (Novembre 2005)PermalinkStratified sampling of satellite images with a systematic grid of points / F.J. Gallego in ISPRS Journal of photogrammetry and remote sensing, vol 59 n° 6 (November 2005)PermalinkOn the relationship between training sample size data dimensionality: Monte Carlo analysis of broadland multi-temporal classification / T.G. Van Niel in Remote sensing of environment, vol 98 n° 4 (30/10/2005)PermalinkRecognition of gypsum geohorizons in the Sivas Basin (Turkey) using ASTER and Landsat ETM+ images / K.S. Kavak in International Journal of Remote Sensing IJRS, vol 26 n° 20 (October 2005)PermalinkResult from EO-1 experiment: a comparative study of earth observing-1 Advanced Land Imager (ALI) and Landsat ETM+ data for land cover mapping in the Okavango delta, Botswana / A.L. Neunschwander in International Journal of Remote Sensing IJRS, vol 26 n° 19 (October 2005)Permalink