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Remote sensing in transition / Rudi Goossens (2004)
Titre : Remote sensing in transition : Proceedings of the 23rd symposium of the European association of remote sensing laboratories, Ghent, Belgium, 2 - 5 June 2003 Type de document : Actes de congrès Auteurs : Rudi Goossens, Éditeur scientifique Editeur : Rotterdam [Pays-Bas] : Millpress Année de publication : 2004 Conférence : EARSeL 2003, 23rd symposium of the European association of remote sensing laboratories 20/06/2003 05/06/2003 Ghent Belgique Importance : 546 p. Format : 18 x 25 cm Accompagnement : 1 cédérom ISBN/ISSN/EAN : 978-90-5966-007-6 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] atmosphère terrestre
[Termes IGN] biomasse
[Termes IGN] image Aqua-MODIS
[Termes IGN] image Envisat
[Termes IGN] image Ikonos
[Termes IGN] image Quickbird
[Termes IGN] image Terra-ASTER
[Termes IGN] image Terra-MODIS
[Termes IGN] modèle numérique de surface
[Termes IGN] modèle numérique de terrain
[Termes IGN] neige
[Termes IGN] océan
[Termes IGN] radar pénétrant GPR
[Termes IGN] risque naturel
[Termes IGN] spectroscopieIndex. décimale : 35.40 Applications de télédétection - généralités Résumé : (éditeur) The 23rd EARSel Symposium was held from 2-5 Junz 2003 at the University of Ghent, Belgium, on the theme "Remote Sensing in Transition". From the different contributions made during this symposium it becomes clear that, after a set of new sensors like Envisat, Ikonos, Quickbird, ASTER, MODIS ... became operational, now also the applications have reached the operational stage. The development of adapted methodologies to this new generation of sensors needs a couple of years before entering the application stage.
It is also clear that Very High Resolution data has entered definitively the remote sensing applications "forum", with the emphasis on studies dealing with resolutions adapted to new application areas, urban structures for example, something which was not possible in the past since the resolutions were not appropriate. Many contributions illustrate the use of sensors with a better and finer spectral resolution. Environmental protection, a new field of application was also the theme of several contributions.
It must be started, nevertheless, that for the moment radar images remain the inherent tool for certain applications and Landsat TM and ETM+ for optical remote sensing, remain the "work horses". The recent difficulties with the Landcast sensor, however, may change this part of the "remote sensing landscape". But other sensors with others and sometimes more possibilities are ready to take over. Wo=ith new strategies for Earth observation being formulated, one may conclude that the remote sensing community really is in transition.Note de contenu : - Keynote lectures
- Envisat/ocean and atmosphere
- Data analysis techniques
- Vegetation and biomass
- Ice and snow
- Very high resolution data
- 3D remote sensing
- Ground penetrating radar
- Hazards and risks
- Land use/environment
- Imaging spectroscopy
- Exploitating image data bases
- EducationalNuméro de notice : 17027 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Actes Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=79212 Réservation
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Code-barres Cote Support Localisation Section Disponibilité 17027-01 CG2004 Livre Centre de documentation Congrès Disponible Snow-cover mapping in forest by constrained linear spectral unimixing of MODIS data / D. Vikhamar in Remote sensing of environment, vol 88 n° 3 (15/12/2003)
[article]
Titre : Snow-cover mapping in forest by constrained linear spectral unimixing of MODIS data Type de document : Article/Communication Auteurs : D. Vikhamar, Auteur ; R. Solberg, Auteur Année de publication : 2003 Article en page(s) : pp 309 - 323 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] analyse des mélanges spectraux
[Termes IGN] cartographie thématique
[Termes IGN] classification
[Termes IGN] forêt
[Termes IGN] image Terra-MODIS
[Termes IGN] neigeRésumé : (Auteur) A snow-cover mapping method accounting for forests (SnowFrac) is presented. SnowFrac uses spectral unmixing and endmember constraints to estimate the snow-cover fraction of a pixel. The unmixing is based on a linear spectral mixture model, which includes endmembers for snow, conifer, branches of leafless deciduous trees and snow-free ground. Model input consists of a land-cover fraction map and endmember spectra. The landcover fraction map is applied in the unmixing procedure to identify the number and types of endmembers for every pixel, but also to set constraints on the area fractions of the forest endmembers. SnowFrac was applied on two Terra Moderate Resolution Imaging Spectroradiometer (MODIS) images with different snow conditions covering a forested area in southern Norway. Six experiments were carried out, each with different endmember constraints. Estimated snow-cover fractions were compared with snow-cover fraction reference maps derived from two Landsat Enhanced Thematic Mapper Plus (ETM+) images acquired the same days as the MODIS images. Results are presented for non-forested areas, deciduous forests, coniferous forests and mixed deciduous/coniferous forests. The snow-cover fraction estimates are enhanced by increasing constraints introduced to the unmixing procedure. The classification accuracy shows that 96% of the pixels are classified with less than 20% error (absolute units) on 7 May 2001 when all forested and non-forested areas are included. The corresponding figure for 4 May 2000 is 88%. Numéro de notice : A2003-347 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2003.06.004 En ligne : https://doi.org/10.1016/j.rse.2003.06.004 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26427
in Remote sensing of environment > vol 88 n° 3 (15/12/2003) . - pp 309 - 323[article]Cloud and aerosol properties, precipitable water, and profiles of temperature and water vapor from MODIS / M.D. King in IEEE Transactions on geoscience and remote sensing, vol 41 n° 2 (February 2003)
[article]
Titre : Cloud and aerosol properties, precipitable water, and profiles of temperature and water vapor from MODIS Type de document : Article/Communication Auteurs : M.D. King, Auteur ; W.P. Menzel, Auteur ; Y.J. Kaufman, Auteur ; et al., Auteur Année de publication : 2003 Article en page(s) : pp 442 - 458 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s)
[Termes IGN] aérologie
[Termes IGN] aérosol
[Termes IGN] atmosphère terrestre
[Termes IGN] données météorologiques
[Termes IGN] image Terra-MODIS
[Termes IGN] nuage
[Termes IGN] précipitation
[Termes IGN] température en altitude
[Termes IGN] vapeur d'eauRésumé : (Auteur) The Moderate Resolution Imaging Spectroradiometer (MODIS) is an earth-viewing sensor that flies on the Earth Observing System Terra and Aqua satellites, launched in 1999 and 2002, respectively. MODIS scans a swath width of 2330 km that is sufficiently wide to provide nearly complete global coverage every two days from a polar-orbiting, sun-synchronous, platform at an altitude of 705 km. MODIS provides images in 36 spectral bands between 0.415 and 14.235 um with spatial resolutions of 250 m (two bands), 500 m (five bands), and 1000 m (29 bands). These bands have been carefully selected to enable advanced studies of land, ocean, and atmospheric properties. Twenty-six bands are used to derive atmospheric properties such as cloud mask, atmospheric profiles, aerosol properties, total precipitable water, and cloud properties. In this paper we describe each of these atmospheric data products, including characteristics of each of these products such as file size, spatial resolution used in producing the product, and data availability. Numéro de notice : A2003-123 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2002.808226 En ligne : https://doi.org/10.1109/TGRS.2002.808226 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22419
in IEEE Transactions on geoscience and remote sensing > vol 41 n° 2 (February 2003) . - pp 442 - 458[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-03021 RAB Revue Centre de documentation En réserve L003 Disponible Bidirectional NDVI and atmospherically resistant BRDF inversion for vegetation canopy / F. Gao in IEEE Transactions on geoscience and remote sensing, vol 40 n° 6 (June 2002)
[article]
Titre : Bidirectional NDVI and atmospherically resistant BRDF inversion for vegetation canopy Type de document : Article/Communication Auteurs : F. Gao, Auteur ; Y.J. Xiaowen, Auteur ; C.B. Schaaf, Auteur ; A. Strahler, Auteur Année de publication : 2002 Article en page(s) : pp 1269 - 1278 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Télédétection
[Termes IGN] bande infrarouge
[Termes IGN] bande rouge
[Termes IGN] canopée
[Termes IGN] distribution du coefficient de réflexion bidirectionnelle BRDF
[Termes IGN] éclairement lumineux
[Termes IGN] image optique
[Termes IGN] image Terra-MODIS
[Termes IGN] inversion
[Termes IGN] modèle physique
[Termes IGN] Normalized Difference Vegetation Index
[Termes IGN] spectroradiométrieRésumé : (Auteur) The normalized difference vegetation index (NDVI) has been widely applied in optical remote sensing. However, it has been demonstrated that NDVI is still partially affected by atmospheric path scattering and bidirectional (illumination and viewing geometry) effects. In this paper we present the benefit of using a bidirectional NDVI, and we discuss the problems in using the maximum NDVI composite method. Based on the assumption that a clear day has a larger NDVI value and a cloudy day has a smaller NDVI value (smaller reflectance in the nearinfrared band and larger reflectance in red band due to atmospheric path scattering), the ratio of squared observed NDVI values and calculated NDVI values is used as a weight in our inversion method. The calculated NDVI values are derived from previously inverted bidirectional reflectance distribution functions (BRDFs). The inversion process will loop until all weights converge. Our research on the early Terra/MODIS data using a semiempirical kerneldriven BRDF model (the RossThickLiTransit model) shows that this new method can improve inversion results whenever some cloudy pixels are not filtered out. As cloud detection and subpixel cloudiness are always a problem, this technique should still be very useful in improving the quality of BRDF inversion. Numéro de notice : A2002-187 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2002.800241 En ligne : https://ieeexplore.ieee.org/document/1020259 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22102
in IEEE Transactions on geoscience and remote sensing > vol 40 n° 6 (June 2002) . - pp 1269 - 1278[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-02061 RAB Revue Centre de documentation En réserve L003 Disponible 065-02062 RAB Revue Centre de documentation En réserve L003 Disponible