Centre de documentation
scientifique

Shooting between the clouds / Alistair Maclenan in GEO: Geoconnexion international, vol 11 n° 5 (may 2012)

Public [article]  inGEO: Geoconnexion international > vol 11 n° 5 (may 2012) . - pp 26 - 28 Titre : Shooting between the clouds Type de document : Article/Communication Auteurs : Alistair Maclenan, Auteur Année de publication : 2012 Article en page(s) : pp 26 - 28 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s) [Termes IGN] acquisition d'images [Termes IGN] image Worldview [Termes IGN] nébulosité Résumé : (Editeur) As staff at European Space Imaging celebrate the company's tenth birthday, Alistair Maclenan looks at how a dedicated local ground station can be used to optimise satellite collections. Numéro de notice : A2012-184 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31631 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
062-2012051	SL	Revue	Centre de documentation	Revues en salle	Disponible

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)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 72 n° 10 (October 2006) . - pp 1129 - 1135 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 météorologique Résumé : (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 [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)  

Public [article]  inInternational Journal of Remote Sensing IJRS > vol 27 n°15-16 (August 2006) . - pp 3123 - 3130 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 mer Résumé : (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 [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)  

Public [article]  inInternational Journal of Remote Sensing IJRS > vol 27 n°12-13-14 (July 2006) . - pp 2847 - 2862 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] nuage Résumé : (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 [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)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 44 n° 2 (February 2006) . - pp 442 - 455 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'image Résumé : (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 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
065-06021	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Snow cover monitoring in Alpine regions using ENVISAT optical data / M. Pepe in International Journal of Remote Sensing IJRS, vol 26 n° 21 (November 2005)  

Permalink

SPOT-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)  

Permalink

A 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)  

Permalink

Derivation of a threshold function for the advanced very high resolution radiometer 3, 75um channel and its application in automatic cloud discrimination over snow/ice surfaces / X. Xiong in International Journal of Remote Sensing IJRS, vol 25 n° 15 (August 2004)  

Permalink

Cloud screening in IRS-P4 OCM satellite data: potential of spatial coherence method in the absence of thermal channel information / S.K. Nair in Remote sensing of environment, vol 90 n° 2 (30/03/2004)  

Permalink

An experimental study on content-based image classication for image databases / R.D. Holowczak in IEEE Transactions on geoscience and remote sensing, vol 40 n° 6 (June 2002)  

Permalink

The ASTER polar cloud mask / A.M. Logar in IEEE Transactions on geoscience and remote sensing, vol 36 n° 4 (July 1998)  

Permalink

Modèle de nuage pour la restitution de paramètres microphysiques à partir de données satellitaires micro-ondes / Nathalie Dejour (1997)

Permalink

Les influences maritimes sur le climat du Maroc atlantique central : une analyse par télédétection spatiale, Volume 1. Texte / A. Atillah (1993)

Permalink

Les influences maritimes sur le climat du Maroc atlantique central : une analyse par télédétection spatiale, Volume 2. Annexes / A. Atillah (1993)

Permalink