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Generation of geometrically and radiometrically terrain corrected SAR image products / A. Loew in Remote sensing of environment, vol 106 n° 3 (15/02/2007)  

Public [article]  inRemote sensing of environment > vol 106 n° 3 (15/02/2007) . - pp 337 - 349 Titre : Generation of geometrically and radiometrically terrain corrected SAR image products Type de document : Article/Communication Auteurs : A. Loew, Auteur ; W. Mauser, Auteur Année de publication : 2007 Article en page(s) : pp 337 - 349 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image [Termes IGN] classification dirigée [Termes IGN] coefficient de rétrodiffusion [Termes IGN] correction géométrique [Termes IGN] correction radiométrique [Termes IGN] géométrie de l'image [Termes IGN] géoréférencement [Termes IGN] image E-SAR [Termes IGN] luminance lumineuse [Termes IGN] modèle numérique de surface [Termes IGN] qualité des données Résumé : (Auteur) Terrain undulations affect the geometric and radiometric quality of synthetic aperture radar images. The correction of these effects becomes indispensable when quantitative image analysis is performed with respect to the derivation of geo- and biophysical parameters. The paper presents a rigorous approach for geometric and radiometric correction of SAR images. Using a digital elevation model, the imaging geometry is reconstructed and is used to perform geometric and radiometric correction of terrain induced distortions. The importance of a stringent radiometric correction based on the integration of the image brightness is emphasized. The approach guarantees that the energy contained in the image data is preserved throughout the geocoding process. The resulting backscattering images are fully terrain corrected and can be used for further quantitative investigations and may also improve qualitative studies as e.g. land cover classifications. The technique is applicable for different sensor types and image products, including already geocoded SAR images. The effect of different resolutions of digital elevation models used for the correction of the backscattering coefficient is investigated. Copyright Elsevier Numéro de notice : A2007-067 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2006.09.002 En ligne : https://doi.org/10.1016/j.rse.2006.09.002 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28432 [article]

Improved estimation of aerosol optical depth from MODIS imagery over land surfaces / B. Zhong in Remote sensing of environment, vol 104 n° 4 (30/10/2006)  

Public [article]  inRemote sensing of environment > vol 104 n° 4 (30/10/2006) . - pp 416 - 425 Titre : Improved estimation of aerosol optical depth from MODIS imagery over land surfaces Type de document : Article/Communication Auteurs : B. Zhong, Auteur ; Shunlin Liang, Auteur ; H. Fang, Auteur Année de publication : 2006 Article en page(s) : pp 416 - 425 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] aérosol [Termes IGN] changement climatique [Termes IGN] épaisseur optique [Termes IGN] image Terra-MODIS [Termes IGN] luminance lumineuse [Termes IGN] occupation du sol [Termes IGN] végétation Résumé : (Auteur) Estimation of aerosol loadings is of great importance to the studies on global climate changes. The current Moderate-Resolution Imaging Spectroradiometer (MODIS) aerosol estimation algorithm over land is based on the “dark-object” approach, which works only over densely vegetated (“dark”) surfaces. In this study, we develop a new aerosol estimation algorithm that uses the temporal signatures from a sequence of MODIS imagery over land surfaces, particularly “bright” surfaces. The estimated aerosol optical depth is validated by Aerosol Robotic Network (AERONET) measurements. Case studies indicate that this algorithm can retrieve aerosol optical depths reasonably well from the winter MODIS imagery at seven sites: four sites in the greater Washington, DC area, USA; Beijing City, China; Banizoumbou, Niger, Africa; and Bratts Lake, Canada. The MODIS aerosol estimation algorithm over land (MOD04), however, does not perform well over these non-vegetated surfaces. This new algorithm has the potential to be used for other satellite images that have similar temporal resolutions. Copyright Elsevier Numéro de notice : A2006-494 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2006.05.016 En ligne : https://doi.org/10.1016/j.rse.2006.05.016 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28218 [article]

Urban development in the Athens metropolitan area using remote sensing data with supervised analysis and GIS / Christiane Weber in International Journal of Remote Sensing IJRS, vol 26 n° 4 (February 2005)  

Public [article]  inInternational Journal of Remote Sensing IJRS > vol 26 n° 4 (February 2005) . - pp 785 - 796 Titre : Urban development in the Athens metropolitan area using remote sensing data with supervised analysis and GIS Type de document : Article/Communication Auteurs : Christiane Weber, Auteur ; C. Petropoulou, Auteur ; Jacky Hirsch, Auteur Année de publication : 2005 Article en page(s) : pp 785 - 796 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] Athènes [Termes IGN] classification dirigée [Termes IGN] croissance urbaine [Termes IGN] image multibande [Termes IGN] image satellite [Termes IGN] luminance lumineuse [Termes IGN] Normalized Difference Vegetation Index [Termes IGN] paysage urbain [Termes IGN] système d'information géographique Résumé : (Auteur) In this study, a set of multi-spectral images were used to locate and identify the irregular settlements zones in the Athens metropolitan area. To achieve this goal, indexes-Brightness Index and Normalized Difference Vegetation Index-and supervised classification are computed and applied to the images. In order to locate and identify these regions, common biophysical characteristics related to the urban and suburban landscape structures were identified. Five types of biophysical class were distinguished: (1) inner dense city with high buildings and absence of vegetation; (2) suburban areas with recent construction of buildings and absence of vegetation ; (3) green suburban areas; (4) high-density vegetation zones; and (5) recent forest fire regions. Some limitations are presented and discussed due to confusion of land-cover types between bare land and recent constructed areas, or between various types of vegetation and some urban green zones. Results are integrated within a Geographical Information System (GIS), allowing the user to check the legaI situation of the classified areas using the Urban Plan of Athens (1983-1995) documentation. This facilitates a proposal and representation of topology of irregular settlements. Such techniques might be very fruitful for developing countries or recently industrialized ones to identify speciflic irregular settlements. Numéro de notice : A2005-055 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160512331316856 En ligne : https://doi.org/10.1080/01431160512331316856 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27193 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
080-05041	RAB	Revue	Centre de documentation	En réserve L003	Exclu du prêt

Land cover-based optimal deconvolution of PALS L-band microwave brightness temperatures / A.S. Limaye in Remote sensing of environment, vol 92 n° 4 (30 September 2004)  

Public [article]  inRemote sensing of environment > vol 92 n° 4 (30 September 2004) . - pp 497 - 506 Titre : Land cover-based optimal deconvolution of PALS L-band microwave brightness temperatures Type de document : Article/Communication Auteurs : A.S. Limaye, Auteur ; William L. Crosson, Auteur ; et al., Auteur Année de publication : 2004 Article en page(s) : pp 497 - 506 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] agriculture [Termes IGN] biomasse [Termes IGN] capteur actif [Termes IGN] capteur passif [Termes IGN] déconvolution [Termes IGN] Glycine max [Termes IGN] Iowa (Etats-Unis) [Termes IGN] luminance lumineuse [Termes IGN] maïs (céréale) [Termes IGN] Passive and Active L and S band Sensor [Termes IGN] Soil Moisture Experiment [Termes IGN] température de luminance Résumé : (Auteur) An optimal deconvolution (ODC) technique has been developed to estimate microwave brightness temperatures of agricultural fields using microwave radiometer observations. The technique is applied to airborne measurements taken by the Passive and Active L and S band (PALS) sensor in Iowa during Soil Moisture Experiments in 2002 (SMEX02). Agricultural fields in the study area were predominantly soybeans and corn. The brightness temperatures of corn and soybeans were observed to be significantly different because of large differences in vegetation biomass. PALS observations have significant over-sampling; observations were made about 100 m apart and the sensor footprint extends to about 400 m. Conventionally, observations of this type are averaged to produce smooth spatial data fields of brightness temperatures. However, the conventional approach is in contrast to reality in which the brightness temperatures are in fact strongly dependent on land cover, which is characterized by sharp boundaries. In this study, we mathematically deconvolve the observations into brightness temperature at the field scale (500-800 m) using the sensor antenna response function. The result is more accurate spatial representation of field-scale brightness temperatures, which may in turn lead to more accurate soil moisture retrieval. Numéro de notice : A2004-415 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2004.02.019 En ligne : https://doi.org/10.1016/j.rse.2004.02.019 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26942 [article]

Nighttime polar cloud detection with MODIS / Y. Liu in Remote sensing of environment, vol 92 n° 2 (15/08/2004)  

Public [article]  inRemote sensing of environment > vol 92 n° 2 (15/08/2004) . - pp 181 - 194 Titre : Nighttime polar cloud detection with MODIS Type de document : Article/Communication Auteurs : Y. Liu, Auteur ; J.R. Key, Auteur ; et al., Auteur Année de publication : 2004 Article en page(s) : pp 181 - 194 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] Antarctique [Termes IGN] Arctique [Termes IGN] climat froid [Termes IGN] climat terrestre [Termes IGN] détection [Termes IGN] dioxyde de carbone [Termes IGN] données lidar [Termes IGN] image Aqua-MODIS [Termes IGN] image radar [Termes IGN] image Terra-MODIS [Termes IGN] luminance lumineuse [Termes IGN] modèle de transfert radiatif [Termes IGN] nuage [Termes IGN] seuillage d'image [Termes IGN] vapeur d'eau Résumé : (Auteur) Cloud detection is the first step in studying the role of polar clouds in the global climate system with satellite data. In this paper, the cloud detection algorithm for the Moderate Resolution Imaging Spectrometer (MODIS) is evaluated with model simulations and satellite data collocated with radar/lidar observations at three Arctic and Antarctic stations. Results show that the current MODIS cloud mask algorithm performs well in polar regions during the day but does not detect more than 40% of the cloud cover over the validation sights at night. Two new cloud tests utilizing the 7.2 um water vapor and 14.2 um carbon dioxide bands, one new clear-sky test using the 7.2 um band, and changes to the thresholds of several other tests are described. With the new cloud detection procedure, the misidentification of cloud as clear decreases from 44.2% to 16.3% at the two Arctic stations, and from 19.8% to 2.7% at the Antarctic station. Numéro de notice : A2004-333 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2004.06.004 En ligne : https://doi.org/10.1016/j.rse.2004.06.004 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26860 [article]

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)  

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Hillshading of terrain using layer tints with aspect-variant luminosity / Patrick Kennelly in Cartography and Geographic Information Science, vol 31 n° 2 (April 2004)  

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Impact of imagery temporal on land-cover change detection monitoring / R.S. Lunetta in Remote sensing of environment, vol 89 n° 4 (29/02/2004)  

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An autonomous above-water system for the validation of ocean color radiance data / G. Ziborni in IEEE Transactions on geoscience and remote sensing, vol 42 n° 2 (February 2004)  

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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)  

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Bayesian-based subpixel brightness temperature estimation from multichannel infrared GOES radiometer data / S. Cain in IEEE Transactions on geoscience and remote sensing, vol 42 n° 1 (January 2004)  

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Image numérique couleur, de l'acquisition au traitement / Alain Trémeau (2004)

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Intercalibration of vegetation indices from different sensor systems / M.D. Steven in Remote sensing of environment, vol 88 n° 4 (30/12/2003)  

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Surface soil moisture retrieval from L-band radiometry: a global regression study / T. Pellarin in IEEE Transactions on geoscience and remote sensing, vol 41 n° 9 (September 2003)  

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Expert system house detection in high spatial resolution: Imagery using size, shape, and context / J.A. Tullis in Geocarto international, vol 18 n° 1 (March - May 2003)  

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