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Estimation and monitoring of bare soil/vegetation ratio with SPOT vegetation and HRVIR / Grégoire Mercier in IEEE Transactions on geoscience and remote sensing, vol 43 n° 2 (February 2005)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 43 n° 2 (February 2005) . - pp 348 - 354 Titre : Estimation and monitoring of bare soil/vegetation ratio with SPOT vegetation and HRVIR Type de document : Article/Communication Auteurs : Grégoire Mercier, Auteur ; Fernand Verger, Auteur ; et al., Auteur Année de publication : 2005 Article en page(s) : pp 348 - 354 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] agriculture [Termes IGN] analyse multiéchelle [Termes IGN] carte de Kohonen [Termes IGN] classification par réseau neuronal [Termes IGN] estimation statistique [Termes IGN] image à haute résolution [Termes IGN] image SPOT-HRVIR [Termes IGN] image SPOT-Végétation [Termes IGN] occupation du sol [Termes IGN] pollution des eaux [Termes IGN] réalité de terrain [Termes IGN] sol nu [Termes IGN] surface cultivée [Termes IGN] surveillance agricole [Termes IGN] végétation Résumé : (Auteur) Covering soils with vegetation during the fallow and planting seasons is one of the main ways to reduce water pollution, by restricting pollutant fluxes to aquatic systems. The bare soil/vegetation ratio monitoring can be carried out daily with a coarse spatial resolution using SPOT VEGETATION (1 km). Nevertheless, land-cover changes detected at a regional scale with this ratio may be due to winter vegetation cover changes as well as the influence of climatic events. Therefore, observed changes have to be validated from a local-scale analysis with higher spatial resolution data. The aim of this study is to develop a technique that allows high or low variations detected at a regional scale to be assessed from SPOT VEGETATION images with data acquired at a higher scale, SPOT High Resolution Visible and Infrared images in our case. In this study, the link between the images from the two sensors is achieved from the design of an artificial neural network method based on a Kohonen self-organizing map. The originality of this method lies in the use of external knowledge from ground observations and the use of temporal behavior to solve such a change of scale. Results of testing this method by using a potential change map based on the last few years' land-cover observations have shown a good correspondence between the observed and predicted bare soil/vegetation balance with regards to the spatial resolution difference between the two sensors. Numéro de notice : A2005-102 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/IGARSS.2003.1294745 En ligne : https://doi.org/10.1109/IGARSS.2003.1294745 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27240 [article]

Exemplaires(2)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
065-05022	RAB	Revue	Centre de documentation	En réserve L003	Disponible
065-05021	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Terra MODIS on-orbit spatial characterization and performance / X. Xiong in IEEE Transactions on geoscience and remote sensing, vol 43 n° 2 (February 2005)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 43 n° 2 (February 2005) . - pp 355 - 365 Titre : Terra MODIS on-orbit spatial characterization and performance Type de document : Article/Communication Auteurs : X. Xiong, Auteur ; N. Che, Auteur Année de publication : 2005 Article en page(s) : pp 355 - 365 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s) [Termes IGN] capteur multibande [Termes IGN] étalonnage radiométrique [Termes IGN] instrument embarqué [Termes IGN] méthode robuste [Termes IGN] Moderate Resolution Imaging Spectroradiometer [Termes IGN] orbite [Termes IGN] performance [Termes IGN] superposition d'images Résumé : (Auteur) The Moderate Resolution Imaging Spectroradiometer (MODIS) Proto-Flight Model, onboard the National Aeronautics and Space Administration's Earth Observing System Terra spacecraft, has been in operation for over four years. It has 36 spectral bands and a total of 490 detectors located on four focal plane assemblies (FPAs). MODIS makes observations at three spatial resolutions (nadir): 0.25 km, (bands 1-2), 0.5 km (bands 3-7), and 1 km (bands 8-36). The instrument's spatial characterization was measured prelaunch using an integration and alignment collimator. Parameters measured included the detectors' instantaneous field-of-view (IFOV), band-to-band registration (BBR), and line spread function in both the along-scan and along-track directions. On orbit, the spatial characterization is periodically measured using the onboard spectro-radiometric calibration assembly (SRCA). This paper describes the SRCA BBR algorithms, characterization methodologies, and on-orbit results. A Fourier approach used to calculate the along-track BBR is also described. This approach enhances the algorithm's robustness in comparison with the conventional centroid approach. On-orbit results show that the Terra MODIS focal planes shifted slightly during launch and initial on-orbit operation. Since then they have been very stable. The BBR is within 0.16 km (nadir IFOV) in the along-scan direction and 0.23 km (nadir IFOV) in the along-track direction among all bands. The small but noticeable periodic variation of the on-orbit BBR can be attributed to the annual cycling of instrument temperature due to sun-earth distance variation. The visible FPA position has the largest temperature dependence among all FPAs, 17 m/K along-scan and 0.6 m/K along-track. Numéro de notice : A2005-103 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2004.840643 En ligne : https://doi.org/10.1109/TGRS.2004.840643 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27241 [article]

Exemplaires(2)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
065-05022	RAB	Revue	Centre de documentation	En réserve L003	Disponible
065-05021	RAB	Revue	Centre de documentation	En réserve L003	Disponible

A wavelet-based algorithm to estimate ocean wave parameters from radar images / A. Niedermeier in IEEE Transactions on geoscience and remote sensing, vol 43 n° 2 (February 2005)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 43 n° 2 (February 2005) . - pp 327 - 336 Titre : A wavelet-based algorithm to estimate ocean wave parameters from radar images Type de document : Article/Communication Auteurs : A. Niedermeier, Auteur ; J.C.N. Borge, Auteur ; et al., Auteur Année de publication : 2005 Article en page(s) : pp 327 - 336 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image [Termes IGN] image ERS-SAR [Termes IGN] océan [Termes IGN] ondelette [Termes IGN] surface de la mer [Termes IGN] système non linéaire [Termes IGN] vague Résumé : (Auteur) In recent years, new remote sensing techniques have been developed to measure two-dimensional (2-D) sea surface elevation fields. The availability of these data has led to the necessity to extend the classical analysis methods for one-dimensional (1-D) buoy time series to two dimensions. This paper is concerned with the derivation of group parameters from 2-D sea surface elevation fields using a wavelet-based technique. Wave grouping is known to be an important factor in ship and offshore safety, as it plays a role in dangerous resonance phenomenons and the generation of extreme waves. Synthetic aperture radar (SAR) data are used for the analysis. The wavelet technique is introduced using synthetic ocean surfaces and simulated SAR data. It is shown that the group structure of the ocean wave field can be recovered from the SAR image if the nonlinear imaging effects are moderate. The method is applied to a global dataset of European Remote Sensing satellite (ERS-2) wave mode data. Different group parameters including the area covered by the largest group and the number of groups in a given area are calculated for over 33 000 SAR images. Global maps of the parameters are presented. For comparison, classical 1D grouping parameters are calculated from colocated wave model data showing good overall agreement with the wavelet-derived parameters. ERS-2 image mode data are used to study wave fields in coastal areas. Waves approaching the island of Sylt in the North Sea are investigated, showing the potential of the wavelet technique to analyze the spatial wave dynamics associated with the bottom topography. Observations concerning changes of wavelength and group parameters are compared to linear wave theory. Numéro de notice : A2005-101 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2004.836873 En ligne : https://doi.org/10.1109/TGRS.2004.836873 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=77433 [article]

Exemplaires(2)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
065-05022	RAB	Revue	Centre de documentation	En réserve L003	Disponible
065-05021	RAB	Revue	Centre de documentation	En réserve L003	Disponible