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Vegetation/SPOT: an operational mission for the Earth monitoring, presentation of new standard product / P. Maisongrande in International Journal of Remote Sensing IJRS, vol 25 n° 1 (January 2004)  

Public [article]  inInternational Journal of Remote Sensing IJRS > vol 25 n° 1 (January 2004) . - pp 9 - 14 Titre : Vegetation/SPOT: an operational mission for the Earth monitoring, presentation of new standard product Type de document : Article/Communication Auteurs : P. Maisongrande, Auteur ; B. Duchemin, Auteur Année de publication : 2004 Article en page(s) : pp 9 - 14 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s) [Termes IGN] correction atmosphérique [Termes IGN] distribution du coefficient de réflexion bidirectionnelle BRDF [Termes IGN] filtrage numérique d'image [Termes IGN] image SPOT-Végétation [Termes IGN] Normalized Difference Vegetation Index [Termes IGN] SPOT5 Résumé : (Auteur) The VEGETATION instrument is the starting point of a European Earth monitoring system that was developed jointly by France, the European Commission, Belgium, Italy and Sweden. Since April 1998, VEGETATION has provided a high quality global monitoring of the day-to-day land cover dynamics at I km resolution. The whole dataset is now available free of charge to the broad range of potential users and applications. The quality of delivered products in terms of radiometry, geometry and additional processing for directional and atmospheric effects stands VEGETATION as an excellent tool for the monitoring of surface hydrology, crops, forest and land cover. Surface reflectances that are delivered by the operational VEGETATION system are corrected for molecular and aerosol scattering, for water vapour, ozone and other gas absorption. So far, the only well known Maximum Value Composite (MVC) technique was used in the construction of 10-day synthesis. An additional enhanced composite product is now available, which evaluates the atmospheric optical depth and normalizes angular Sun-target-sensor variations. After presenting the VEGETATION instrument and products, this paper introduces the new compositing schemes (Duchemin and Maisongrande 2002, Duchernin et al. 2002) and presents samples of the new products. Numéro de notice : A2004-034 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/0143116031000115265 En ligne : https://doi.org/10.1080/0143116031000115265 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26562 [article]

Exemplaires(1)

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080-04011	RAB	Revue	Centre de documentation	En réserve L003	Exclu du prêt

Spectral characteristics and feature selection of hyperspectral remote sensing data / X. Jiang in International Journal of Remote Sensing IJRS, vol 25 n° 1 (January 2004)  

Public [article]  inInternational Journal of Remote Sensing IJRS > vol 25 n° 1 (January 2004) . - pp 51 - 59 Titre : Spectral characteristics and feature selection of hyperspectral remote sensing data Type de document : Article/Communication Auteurs : X. Jiang, Auteur ; L. Tanguy, Auteur Année de publication : 2004 Article en page(s) : pp 51 - 59 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] classification [Termes IGN] image hyperspectrale [Termes IGN] index spatial [Termes IGN] Pékin (Chine) [Termes IGN] signature spectrale [Termes IGN] spectromètre imageur Résumé : (Auteur) Hyperspectral remote sensing data with bandwidth of nanometre (nm) level have tens or even several hundreds of channels and contain abundant spectral information. Different channels have their own properties and show the spectral characteristics of various objects in image. Rational feature selection from the varieties of channels is very important for effective analysis and information extraction of hyperspectral data. This paper, taking Shunyi region of Beijing as a study area, comprehensively analysed the spectral characteristics of hyperspectral data. On the basis of analysing the information quantity of bands, correlation between different bands, spectral absorption characteristics of objects and object separability in bands, a fundamental method of optimum band selection and feature extraction from hyperspectral remote sensing data was proposed. Numéro de notice : A2004-035 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/0143116031000115292 En ligne : https://doi.org/10.1080/0143116031000115292 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26563 [article]

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Hyperspectral monitoring of physiological parameters of wheat during a vegetation period using AVIS data / N. Oppelt in International Journal of Remote Sensing IJRS, vol 25 n° 1 (January 2004)  

Public [article]  inInternational Journal of Remote Sensing IJRS > vol 25 n° 1 (January 2004) . - pp 145 - 159 Titre : Hyperspectral monitoring of physiological parameters of wheat during a vegetation period using AVIS data Type de document : Article/Communication Auteurs : N. Oppelt, Auteur ; W. Mauser, Auteur Année de publication : 2004 Article en page(s) : pp 145 - 159 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] analyse de données [Termes IGN] analyse diachronique [Termes IGN] Bavière (Allemagne) [Termes IGN] blé (céréale) [Termes IGN] classificateur paramétrique [Termes IGN] hétérogénéité sémantique [Termes IGN] image AVIRIS [Termes IGN] image hyperspectrale [Termes IGN] indice de végétation [Termes IGN] Normalized Difference Vegetation Index [Termes IGN] réflectance végétale [Termes IGN] saison [Termes IGN] surveillance agricole [Termes IGN] zone humide Résumé : (Auteur) Information on the quantity and spatial distribution of canopy physiological and biochemical components is of importance for the study of nutrient cycles, productivity, vegetation stress and, more recently, in driving ecosystem models. In this context, remote sensing can play a unique and essential role because of its ability to acquire synoptic information at different time and space scales. This paper presents parts of a two-year field and laboratory study with the new airborne hyperspectral sensor, the Airborne Visible near Infrared Imaging Spectrometer (AVIS), over a test site in the Bavarian Alpine foothills, Germany (48' 8'N, 11°17' E ). The 80-band AVIS was developed at the Department for Earth and Environmental Sciences of the LudwigMaximiliansUniversity Munich and records the 550-1000 mn spectral range. Using this system, 18 hyperspectral datasets were collected between April and September of 1999 and 2000. Weekly measurements of several plant parameters (height, biomass, leaf chlorophyll content, leaf nitrogen content) were carried out during these time periods on three (1999) and six (2000) fields of winter wheat, whereby two different cultivars were investigated in 2000. After system correction and calibration, the hyperspectral data were atmospherically corrected and calibrated to reflectance. The resulting spectra were analysed for their chemical compounds. The statistical analysis was carried out using the Chlorophyll Absorption Integral (CAI) in comparison to established indices: Optimized Soil-Adjusted Vegetation Index (OSAVI) and hyperspectral Normalized Difference Vegetation Index (hNDVI). Both the chlorophyll and nitrogen content of the leaves showed good correlations with CAI on a field mean basis. These results as well as two-dimensional information on these parameters are presented to provide information about the spatial heterogeneity within a field. Numéro de notice : A2004-036 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/0143116031000115300 En ligne : https://doi.org/10.1080/0143116031000115300 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26564 [article]

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The EuroSTARRS airborne campaign in support of the SMOS mission: first results over land surfaces / K. Saleh in International Journal of Remote Sensing IJRS, vol 25 n° 1 (January 2004)  

Public [article]  inInternational Journal of Remote Sensing IJRS > vol 25 n° 1 (January 2004) . - pp 177 - 194 Titre : The EuroSTARRS airborne campaign in support of the SMOS mission: first results over land surfaces Type de document : Article/Communication Auteurs : K. Saleh, Auteur ; Jean-Pierre Wigneron, Auteur ; et al., Auteur Année de publication : 2004 Article en page(s) : pp 177 - 194 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] analyse comparative [Termes IGN] analyse en composantes principales [Termes IGN] bande L [Termes IGN] flore locale [Termes IGN] forêt [Termes IGN] France (administrative) [Termes IGN] humidité du sol [Termes IGN] luminance lumineuse [Termes IGN] masse végétale [Termes IGN] Pinophyta [Termes IGN] polarisation [Termes IGN] réalité de terrain [Termes IGN] Soil Moisture and Ocean Salinity Mission [Termes IGN] température de luminance [Termes IGN] température de surface [Termes IGN] Valence (Espagne) [Termes IGN] verger [Termes IGN] viticulture Résumé : (Auteur) A number of experiments using ground-based and airborne sensors have shown the high potential of L-band passive microwave radiometry for estimating and monitoring surface soil moisture. This has led to the Soil Moisture and Ocean Salinity (SMOS) mission, a European Space Agency (ESA) Earth Explorer Opportunity mission. SMOS has the objective to observe soil moisture over land and sea surface salinity over sea, both key parameters for atmospheric, oceanographic and hydrological predictive models. In preparation of SMOS, the EuroSTARRS airborne campaign was carried out in November 2001. Multi-angular measurements of the surface brightness temperature at L-band (1.4GHz) at vertical polarization were acquired by the 'Salinity Temperature and Roughness Remote Scanner' (STARRS) radiometer from the Naval Research Laboratory (NRL, USA) over several sites in Southern France, the Pyrenees and Eastern Spain. The chosen sites represent specific land conditions and vegetation canopies where microwave surface emission models need further investigation, and include: dense forests, shrubs and scrubland, mixed areas of different vegetation covers and areas with variable topography. This paper gives an overview of the experiment, including a discussion of the objectives, description of the sites, details of the microwave measurements and some first results of the campaign. First, a principal component analysis of the forest brightness temperature measured at different configurations illustrates the sensitivity of brightness temperature to biomass conditions for coniferous trees. Then, the microwave signature of the vegetation covers considered in this study-coniferous forest at Les Landes (France), mixed deciduous/coniferous stands at the Agre forest (France), shrubland, vineyards and orchards at the Valencia site (Spain) - is illustrated, in particular as regards to the dependance of the L-band emissivity to biomass conditions. Numéro de notice : A2004-037 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/0143116031000116444 En ligne : https://doi.org/10.1080/0143116031000116444 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26565 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
080-04011	RAB	Revue	Centre de documentation	En réserve L003	Exclu du prêt