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Landsat-7 long-term acquisition plan radiometry: evolution over the time / B. Markham in Photogrammetric Engineering & Remote Sensing, PERS, vol 72 n° 10 (October 2006)
[article]
Titre : Landsat-7 long-term acquisition plan radiometry: evolution over the time Type de document : Article/Communication Auteurs : B. Markham, Auteur ; S. Goward, Auteur ; et al., Auteur Année de publication : 2006 Article en page(s) : pp 1129 - 1135 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s)
[Termes IGN] bande spectrale
[Termes IGN] image Landsat-ETM+
[Termes IGN] mission spatiale
[Termes IGN] nébulosité
[Termes IGN] saturation de la couleur
[Termes IGN] surveillance météorologiqueRésumé : (Auteur) The Landsat-7 Enhanced Thematic Mapper Plus instrument has two selectable gains for each spectral band. In the acquisition plan, the gains were initially set to maximize the entropy in each scene. One unintended consequence of this strategy was that, at times, dense vegetation saturated band 4 and deserts saturated all bands. A revised strategy, based on a land-cover classification and sun angle thresholds, reduced saturation, but resulted in gain changes occurring within the same scene on multiple overpasses. As the gain changes cause some loss of data and difficulties for some ground processing systems, a procedure was devised to shift the gain changes to the nearest predicted cloudy scenes. The results are still not totally satisfactory as gain changes still impact some scenes and saturation still occurs, particularly in ephemerally snow-covered regions. A primary conclusion of our experience with variable gain on Landsat-7 is that such an approach should not be employed on future global monitoring missions. Copyright ASPRS Numéro de notice : A2006-425 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.72.10.1129 En ligne : https://doi.org/10.14358/PERS.72.10.1129 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28149
in Photogrammetric Engineering & Remote Sensing, PERS > vol 72 n° 10 (October 2006) . - pp 1129 - 1135[article]Inter-comparison of NOAA-AVHRR and IRS-P4 (MSMR) derived sea surface temperatures / B. Jena in International Journal of Remote Sensing IJRS, vol 27 n°15-16 (August 2006)
[article]
Titre : Inter-comparison of NOAA-AVHRR and IRS-P4 (MSMR) derived sea surface temperatures Type de document : Article/Communication Auteurs : B. Jena, Auteur ; S.K. Sasmal, Auteur ; et al., Auteur Année de publication : 2006 Article en page(s) : pp 3123 - 3130 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] analyse comparative
[Termes IGN] analyse diachronique
[Termes IGN] image IRS-MSMR
[Termes IGN] image NOAA-AVHRR
[Termes IGN] nébulosité
[Termes IGN] Persique, golfe
[Termes IGN] radiomètre à hyperfréquence
[Termes IGN] rayonnement infrarouge thermique
[Termes IGN] température de surface de la merRésumé : (Auteur) Due to the limitations of infrared remote sensing, sea surface temperature (SST) can be derived only under clear sky conditions from the infrared channels like those in National Oceanic and Atmospheric Administration (NOAA) advanced very high resolution radiometer (AVHRR), where as microwave radiometers can provide SST even under cloudy conditions. However, the accuracy of SST derived from the microwave sensor is less with a poor spatial resolution. In this study, SSTs over the Arabian Sea derived from NOAA-AVHRR and Indian Remote Sensing Satellite (IRS-P4) multi-frequency scanning microwave radiometer (MSMR) observations have been compared on weekly basis with a view to blend these two observations, so that SST can be provided continuously even under cloudy conditions. The NOAA-AVHRR derived pathfinder SSTs with spatial resolution of 18 km were averaged to 1.5°*1.5° grid resolutions to match with MSMR observations. The analysis was carried out during 2000. Statistical analysis of the NOAA-AVHRR SST shows that the spatial variation of SST within 1.5° grid is negligible compared with the MSMR accuracy of 1.52°C. Thus the comparison of SST from these two sources with different spatial resolution is reasonable. The RMS difference is 1.55°C with a correlation coefficient of 0.73. After removing the seasonal bias, the RMS difference reduced to 0.66°C and the coefficient of correlation improved to 0.89. The correlation coefficient between the two observations has further improved to 0.90 and the RMS difference reduced to 0.53°C when the averaging was done using 5°*5° grid resolution. The accuracy of satellite derived SSTs are also evaluated with the moored buoy observations over the Arabian Sea. The accuracy of MSMR SST observations have improved if 95% confidence level data is considered. The results indicate the possibility of replacing the data gaps in AVHRR SSTs with MSMR estimations after adjusting for the seasonal biases. Copyright Taylor & Francis Numéro de notice : A2006-335 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160600580608 En ligne : https://doi.org/10.1080/01431160600580608 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28059
in International Journal of Remote Sensing IJRS > vol 27 n°15-16 (August 2006) . - pp 3123 - 3130[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 080-06081 RAB Revue Centre de documentation En réserve L003 Disponible Cloud 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)
[article]
Titre : Cloud base heights retrieved during night-time conditions with MODIS data Type de document : Article/Communication Auteurs : K. Hutchinson, Auteur ; E. Wong, Auteur ; S.C. Ou, Auteur Année de publication : 2006 Article en page(s) : pp 2847 - 2862 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] altitude
[Termes IGN] image NPP-VIIRS
[Termes IGN] image Terra-MODIS
[Termes IGN] nébulosité
[Termes IGN] nuageRésumé : (Auteur) The capability to retrieve cloud base heights was developed under the US National Polar-orbiting Operational Environmental Satellite System (NPOESS) programme as one of 27 data products to be created from data collected by the Visible Infrared Imager Radiometer Suite (VIIRS). First launch of the VIIRS sensor, which is the high-resolution Earth imager of the NPOESS programme, comes on National Aeronautics & Space Administration's (NASA) NPOESS Preparatory Project (NPP). In preparation for this launch, extensive testing of the VIIRS cloud algorithms was completed to verify that product performance will satisfy system requirements before the cloud algorithms were hosted in the NPOESS ground processing centre. The approach taken to retrieve cloud base height converts cloud optical properties into a geometric thickness which is then subtracted from the cloud top height. Performance of the cloud base height algorithms has been verified recently using MODIS data, together with temporarily and spatial coincident observations of cloud thickness values made with the millimetre cloud radar operated at the US Department of Energy Atmospheric Radiation Measurement (ARM) Program Southern Great Plains site in Oklahoma. Of particular significance is the clear demonstration that both cloud optical properties and cloud base heights are retrieved accurately during night-time conditions with the VIIRS algorithms, since neither of these products is currently produced by the NASA EOS programme. Based upon these analyses, the VIIRS cloud algorithms are expected to satisfy NPOESS requirements, making VIIRS the first operational satellite sensor capable of retrieving three-dimensional cloud fields. Copyright Taylor & Francis Numéro de notice : A2006-308 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160500296800 En ligne : https://doi.org/10.1080/01431160500296800 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28032
in International Journal of Remote Sensing IJRS > vol 27 n°12-13-14 (July 2006) . - pp 2847 - 2862[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 080-06071 RAB Revue Centre de documentation En réserve L003 Disponible Contextual reconstruction of cloud-contaminated multitemporal multispectral image / F. Melgani in IEEE Transactions on geoscience and remote sensing, vol 44 n° 2 (February 2006)
[article]
Titre : Contextual reconstruction of cloud-contaminated multitemporal multispectral image Type de document : Article/Communication Auteurs : F. Melgani, Auteur Année de publication : 2006 Article en page(s) : pp 442 - 455 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse comparative
[Termes IGN] classification non dirigée
[Termes IGN] filtrage du rayonnement
[Termes IGN] image Landsat-ETM+
[Termes IGN] image multibande
[Termes IGN] image multitemporelle
[Termes IGN] nébulosité
[Termes IGN] prévision linéaire
[Termes IGN] prévision non-linéaire
[Termes IGN] prise en compte du contexte
[Termes IGN] reconstruction d'imageRésumé : (Auteur) The frequent presence of clouds in passive remotely sensed imagery severely limits its regular exploitation in various application fields. Thus, the removal of cloud cover from this imagery represents an important preprocessing task consisting in the reconstruction of cloud-contaminated data. The intent of this study is to propose two novel general methods for the reconstruction of areas obscured by clouds in a sequence of multitemporal multispectral images. Given a cloud-contaminated image of the sequence, each area of missing measurements is reconstructed through an unsupervised contextual prediction process that reproduces the local spectro-temporal relationships between the considered image and an opportunely selected subset of the remaining temporal images. In the first method, the contextual prediction process is implemented by means of an ensemble of linear predictors, each trained over a local multitemporal region that is spectrally homogeneous in each temporal image of the selected subset. In order to obtain such regions, each temporal image is locally classified by an unsupervised classifier based on the expectation-maximization (EM) algorithm. In the second method, the local spectro-temporal relationships are reproduced by a single nonlinear predictor based on the support vector machines (SVM) approach. To illustrate the performance of the two proposed methods, an experimental analysis on a sequence of three temporal images acquired by the Landsat-7 Enhanced Thematic Mapper Plus sensor over a total period of four months is reported and discussed. It includes a detailed simulation study that aims at assessing with different reconstruction quality criteria the accuracy of the methods in different qualitative and quantitative cloud contamination conditions. Compared with two techniques based on compositing algorithms for cloud removal, the proposed methods show a clear superiority, which makes them a promising and useful tool in solving the considered problem, whose great complexity is commensurate with its practical importance. Numéro de notice : A2006-126 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2005.861929 En ligne : https://doi.org/10.1109/TGRS.2005.861929 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27853
in IEEE Transactions on geoscience and remote sensing > vol 44 n° 2 (February 2006) . - pp 442 - 455[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 065-06021 RAB Revue Centre de documentation En réserve L003 Disponible Reconstruction of cloud geometry from multi-view satellite images / G. Seiz in Remote sensing of environment, vol 100 n° 2 (30 January 2006)
[article]
Titre : Reconstruction of cloud geometry from multi-view satellite images Type de document : Article/Communication Auteurs : G. Seiz, Auteur ; R. Davies, Auteur Année de publication : 2006 Article en page(s) : pp 143 - 149 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] hydrologie
[Termes IGN] image Terra-MISR
[Termes IGN] modèle de transfert radiatif
[Termes IGN] nuage
[Termes IGN] radiance
[Termes IGN] reconstruction 3DRésumé : (Auteur) Reflected solar radiances measured by the pushbroom cameras of the Multiangle Imaging SpectroRadiometer (MISR) on the Terra satellite at nine viewing angles are combined to give eight stereo pairs. These are analyzed with stereo-photogrammetric methods to measure the geometry of a convective cloud system. Both cloud-top heights and cloud sides are retrieved with a precision of about 200-300 m. Two case studies of deep, convective clouds over ocean are considered. The accuracy of the MISR retrieval is tested in the first case study by reference to coincident, higher resolution stereo data from ASTER, showing how the accuracy of the cloud-top height retrieval is improved using the oblique MISR views. In the second case study, the entire cross-section of the cloud aligned with the viewing azimuthal direction is measured, using all nine cameras. The methodology presented is an important step towards more routine retrievals of the 3D geometrical reconstruction of isolated, deep-convective clouds. Such reconstructions are a necessary prerequisite to the subsequent 3D radiative transfer modeling used to aid the remote sensing of the elusive microphysical properties of such clouds. Numéro de notice : A2006-033 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2005.09.016 En ligne : https://doi.org/10.1016/j.rse.2005.09.016 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27760
in Remote sensing of environment > vol 100 n° 2 (30 January 2006) . - pp 143 - 149[article]Application of three satellite techniques in support of precipitation forecasts of a NWP [numerical weather prediction] model / H. Feidas in International Journal of Remote Sensing IJRS, vol 26 n° 24 (December 2005)PermalinkL'étude et l'observation de la terre en France en 2005 / G. Begni in Revue Française de Photogrammétrie et de Télédétection, n° 179 (Décembre 2005)PermalinkSnow cover monitoring in Alpine regions using ENVISAT optical data / M. Pepe in International Journal of Remote Sensing IJRS, vol 26 n° 21 (November 2005)PermalinkCloud-free satellite image mosaics with regression trees and histogram matching / E.H. Helmert in Photogrammetric Engineering & Remote Sensing, PERS, vol 71 n° 9 (September 2005)PermalinkApplication of an automated cloud-tracking algorithm on satellite imagery for tracking and monitoring small mesoscale convective cloud systems / H. Feidas in International Journal of Remote Sensing IJRS, vol 26 n° 8 (April 2005)PermalinkRapid response for cloud monitoring through Meteosat VIS-IR and NOAA-A/TOVS image fusion: civil application. A first approach to MSG-SEVIRI / C. Casanova in International Journal of Remote Sensing IJRS, vol 26 n° 8 (April 2005)PermalinkSPOT-4 Vegetation multi-temporal compositing for land cover change studies over tropical regions / João M.B. Carreiras in International Journal of Remote Sensing IJRS, vol 26 n° 7 (April 2005)PermalinkA land cover distribution composite image from coarse spatial resolution images using an unmixing method / T.M. Uenishi in International Journal of Remote Sensing IJRS, vol 26 n° 5 (March 2005)PermalinkRegional simulation of ecosystem CO2 and water vapor exchange for agricultural land using NOAA AVHRR and Terra MODIS satellite data: Application to Zealand, Denmark / Rasmus M. Houborg in Remote sensing of environment, vol 93 n° 1 (30/10/2004)PermalinkNighttime polar cloud detection with MODIS / Y. Liu in Remote sensing of environment, vol 92 n° 2 (15/08/2004)Permalink