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Land cover characterization for hydrological modelling using thermal infrared emissivities / A. French in International Journal of Remote Sensing IJRS, vol 31 n° 14 (July 2010)
[article]
Titre : Land cover characterization for hydrological modelling using thermal infrared emissivities Type de document : Article/Communication Auteurs : A. French, Auteur ; A. Inamdar, Auteur Année de publication : 2010 Article en page(s) : pp 3867 - 3883 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] caractérisation
[Termes IGN] couvert végétal
[Termes IGN] emissivité
[Termes IGN] évapotranspiration
[Termes IGN] image infrarouge
[Termes IGN] image Terra-MODIS
[Termes IGN] image thermique
[Termes IGN] Kansas (Etats-Unis ; état)
[Termes IGN] modèle hydrographique
[Termes IGN] Oklahoma (Etats-Unis)Résumé : (Auteur) Remote sensing with multispectral thermal infrared can improve regional estimation of evapotranspiration (ET) by providing new constraints on land surface energy balance. Current models use visible and near infrared bands to obtain vegetative cover, and sometimes use thermal infrared data for land surface temperature. Together these can yield good ET estimates. However, it may be possible to do even better by using remotely sensed thermal infrared emissivity, a surface property related to fractional vegetative cover but independent of plant greenness. Emissivities derived from clear-sky Moderate Resolution Imaging Spectroradiometer (MODIS) observations obtained in 2007 over the Southern Great Plains (Oklahoma and Kansas), USA, were compared with changes in Normalized Difference Vegetation Index (NDVI) for winter wheat and grazing land. Emissivity changes were independent of NDVI and sensitive to standing canopies, regardless of growth stage or senescence. Thus emissivities were seasonally dynamic, able to detect wheat harvest timing, and helpful for modelling ET. Numéro de notice : A2010-371 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431161.2010.483491 En ligne : https://doi.org/10.1080/01431161.2010.483491 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30565
in International Journal of Remote Sensing IJRS > vol 31 n° 14 (July 2010) . - pp 3867 - 3883[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 080-2010091 RAB Revue Centre de documentation En réserve L003 Exclu du prêt A study of trajectory models for satellite image triangulation / Inseong Jeong in Photogrammetric Engineering & Remote Sensing, PERS, vol 76 n° 3 (March 2010)
[article]
Titre : A study of trajectory models for satellite image triangulation Type de document : Article/Communication Auteurs : Inseong Jeong, Auteur ; J. Bethel, Auteur Année de publication : 2010 Article en page(s) : pp 265 - 276 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s)
[Termes IGN] image ALOS-PRISM
[Termes IGN] image EO1-Hyperion
[Termes IGN] image EROS
[Termes IGN] image Quickbird
[Termes IGN] image SPOT-HRV
[Termes IGN] image Terra-ASTER
[Termes IGN] implémentation (informatique)
[Termes IGN] orbite
[Termes IGN] point d'appui
[Termes IGN] spatiotriangulationRésumé : (Auteur) Many spaceborne imagery products are provided with metadata or support data having diverse types, representations, frequencies, and conventions. According to the variability of metadata, a compatible physical sensor model approach must be constructed. Among the three component of the sensor model, i.e., trajectory model, projection equations, and parameter subset selection, the construction of the position and attitude trajectory is closely linked with the availability and type of support data. In this paper, we show how trajectory models can be implemented based on support data from six satellite image types: QuickBird, Hyperion, SPOT-3, ASTER. PRISM, and EROS-A. Triangulation for each image is implemented to investigate the feasibility and suitability of the different trajectory models. The results show the effectiveness of some of the simple models while indicating that careful use of dense ephemeris information is necessary. These results are based on having a number of high quality ground control points. Copyright ASPRS Numéro de notice : A2010-088 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.76.3.265 En ligne : https://doi.org/10.14358/PERS.76.3.265 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30284
in Photogrammetric Engineering & Remote Sensing, PERS > vol 76 n° 3 (March 2010) . - pp 265 - 276[article]Retrieval of dissolved inorganic nitrogen from multi-temporal MODIS data in Haizhou Bay / Y. Xu in Marine geodesy, vol 33 n° 1 (January - March 2010)
[article]
Titre : Retrieval of dissolved inorganic nitrogen from multi-temporal MODIS data in Haizhou Bay Type de document : Article/Communication Auteurs : Y. Xu, Auteur ; Y. Zhang, Auteur ; D. Zhang, Auteur Année de publication : 2010 Article en page(s) : pp 1 - 15 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] analyse diachronique
[Termes IGN] azote
[Termes IGN] baie
[Termes IGN] données multitemporelles
[Termes IGN] image Terra-MODIS
[Termes IGN] Kiangsou (Chine)Résumé : (Auteur) It is important to map dissolved inorganic nitrogen (DIN) concentrations in order to accurately predict the outbreak of red tides. This study aims to determine the feasibility of retrieving DIN in Haizhou Bay, East China from multi-temporal MODIS satellite data and to assess the impact of DIN concentration level on its inversion accuracy. DIN was modeled from the reflectance of MODIS bands and their combinations both linearly and nonlinearly. It was found that individual MODIS bands are loosely correlated with DIN concentrations. Of the various combinations of multiple bands, bands 3 and 4 bear a highly positive correlation with DIN concentrations. In particular, (R3 + R4)/(R3 - R4) is a more accurate predictor of DIN than R3 times R4/(R3 - R4). All the regression models involving this exploratory variable have an R2 value over 0.7 and a relative accuracy of around 70%. However, regression residuals are dependent of each other for DIN 70 ug/L in murky coastal waters. During the study period of 2004-2006, Haizhou Bay experienced a deteriorating trend in DIN in that low concentration areas decreased while areas of a high DIN concentration level expanded. Numéro de notice : A2010-186 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1080/01490410903530257 Date de publication en ligne : 10/07/2014 En ligne : https://doi.org/10.1080/01490410903530257 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30381
in Marine geodesy > vol 33 n° 1 (January - March 2010) . - pp 1 - 15[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 230-2010011 RAB Revue Centre de documentation En réserve L003 Disponible Influence of resolution in irrigated area mapping and area estimations / N. Velpuri in Photogrammetric Engineering & Remote Sensing, PERS, vol 75 n° 12 (December 2009)
[article]
Titre : Influence of resolution in irrigated area mapping and area estimations Type de document : Article/Communication Auteurs : N. Velpuri, Auteur ; Prasad S. Thenkabail, Auteur ; M. Gumma, Auteur ; et al., Auteur Année de publication : 2009 Article en page(s) : pp 1383 - 1395 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] carte agricole
[Termes IGN] classification dirigée
[Termes IGN] cultures irriguées
[Termes IGN] image Landsat-ETM+
[Termes IGN] image multitemporelle
[Termes IGN] image NOAA-AVHRR
[Termes IGN] image Terra-MODIS
[Termes IGN] Inde
[Termes IGN] irrigation
[Termes IGN] limite de résolution géométrique
[Termes IGN] parcelle agricole
[Termes IGN] précision de la classificationRésumé : (Auteur) The overarching goal of this paper was to determine how irrigated areas change with resolution (or scale) of imagery. Specific objectives investigated were to (a) map irrigated areas using four distinct spatial resolutions (or scales), (b) determine how irrigated areas change with resolutions, and (c) establish the causes of differences in resolution-based irrigated areas. The study was conducted in the very large Krishna River basin (India), which has a high degree of formal contiguous, and informal fragmented irrigated areas. The irrigated areas were mapped using satellite sensor data at four distinct resolutions: (a) NOAA AVHRR Pathfinder 10,000 m, (b) Terra MODIS 500 m, (c) Terra MODIS 250 m, and (d) Landsat ETM+ 30 m. The proportion of irrigated areas relative to Landsat 30 m derived irrigated areas (9.36 million hectares for the Krishna basin) were (a) 95 percent using MODIS 250 m, (b) 93 percent using MODIS 500 m, and (c) 86 percent using AVHRR 10,000 m. In this study, it was found that the precise location of the irrigated areas were better established using finer spatial resolution data. A strong relationship (R2 = 0.74 to 0.95) was observed between irrigated areas determined using various resolutions. This study proved the hypotheses that “the finer the spatial resolution of the sensor used, greater was the irrigated area derived,” since at finer spatial resolutions, fragmented areas are detected better. Accuracies and errors were established consistently for three classes (surface water irrigated, ground water/conjunctive use irrigated, and nonirrigated) across the four resolutions mentioned above. The results showed that the Landsat data provided significantly higher overall accuracies (84 percent) when compared to MODIS 500 m (77 percent), MODIS 250 m (79 percent), and AVHRR 10,000 m (63 percent). Copyright ASPRS Numéro de notice : A2009-500 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.75.12.1383 En ligne : https://doi.org/10.14358/PERS.75.12.1383 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30129
in Photogrammetric Engineering & Remote Sensing, PERS > vol 75 n° 12 (December 2009) . - pp 1383 - 1395[article]The application of Advanced Space-Borne Thermal Emission and Reflection (ASTER) radiometer data in the detection of alteration paleocrater, Bafq region, central Iran / A. Moghtaderi in Photo interprétation, European journal of applied remote sensing, vol 45 n° 2 (juin 2009)
[article]
Titre : The application of Advanced Space-Borne Thermal Emission and Reflection (ASTER) radiometer data in the detection of alteration paleocrater, Bafq region, central Iran Type de document : Article/Communication Auteurs : A. Moghtaderi, Auteur ; F. Moore, Auteur ; Ali Mohammadzadeh, Auteur Année de publication : 2009 Article en page(s) : pp 79 - 87 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] altération géologique
[Termes IGN] capteur multibande
[Termes IGN] composition colorée
[Termes IGN] cratère
[Termes IGN] image optique
[Termes IGN] image Terra-ASTER
[Termes IGN] Iran
[Termes IGN] minéralogie
[Termes IGN] réflectance du sol
[Termes IGN] traitement d'imageRésumé : (Auteur) Ore deposits are often produced by fluid flow processes that basically alter the mineralogy and chemistry of the country rock. One of the important objectives of developed multispectral and a hyper-spectral sensor is to detect optical characteristics of the Earth surface using hundreds of spectral bands. All previous studies show that remote sensing can recognize alteration to different degrees using different spatial and spectral resolution sensors. ASTER sensor measures reflected radiation in VNIR, SWIR and TIR electromagnetic energies. It's cheap and easily available. The alteration minerals of Chadormalu area (Chadormalu paleocrater and the related iron oxide deposit) are investigated in the field and successfully detected by applying IARR (Internal Average Relative Reflectance), FCC (False Color Composite), Decorrelation-stretch, MNF (Minimum Noise Fraction Transform), correlated filter and MEM (Mathematical Evaluation Method) techniques on ASTER imageries. Sadie, potassic, and silicic-sericitisation alteration patterns are distinguished. This studv shows that, the ability and accuracy of MEM method is better than 2*2 correlated filter techniques. The results indicate that, pervasive hydrothermal ore-forming processes are important at the study area. Judging from alteration mineral assemblages, it may be said that Chadormalu iron deposit is an endmember of the Kiruna type -Iron oxide (Cu-Au) ore deposit continuum. Numéro de notice : A2009-523 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30152
in Photo interprétation, European journal of applied remote sensing > vol 45 n° 2 (juin 2009) . - pp 79 - 87[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 104-09021 SL Revue Centre de documentation Revues en salle Exclu du prêt Permalinkvol 29 n° 22 - November 2008 - Advances in the remote sensing of volcanic activity and hazards (Bulletin de International Journal of Remote Sensing IJRS) / Remote sensing and photogrammetry societyPermalinkLand cover classification of the North China Plain using MODIS-EVI time series / Z. Xia in ISPRS Journal of photogrammetry and remote sensing, vol 63 n° 4 (July - August 2008)PermalinkAssimilation of remote sensed data for improved latent and sensible heat flux prediction: a comparative synthetic study / R. Pipunic in Remote sensing of environment, vol 112 n° 4 (15/04/2008)PermalinkUse of a Kalman filter for the retrieval of surface BRDF coefficients with a time-evolving model based on the ECOCLIMAP land cover classification / O. Samain in Remote sensing of environment, vol 112 n° 4 (15/04/2008)PermalinkASTER DEMs for geomatic and geoscientific applications: a review / Thierry Toutin in International Journal of Remote Sensing IJRS, vol 29 n° 7 (April 2008)PermalinkLand-cover classification using ASTER: multi-band combinations based on wavelet fusion and SOM neural network / H. Bagan in Photogrammetric Engineering & Remote Sensing, PERS, vol 74 n° 3 (March 2008)PermalinkSpatially and temporally continuous LAI data sets based on an integrated filtering method: examples from North America / H. Fang in Remote sensing of environment, vol 112 n° 1 (15/01/2008)PermalinkEtude géomorphologique des coulées de lave du piton de la fournaise / Astrid Gladys (2008)PermalinkUtilisation de la télédétection optique et radar pour étudier la déforestation en Afrique centrale / Quentin Page (2008)Permalink