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Projet Life : suivi de la désertification dans les pays de la rive sud de la Méditerranée. Application au cas du Maroc / Noureddine Bijaber in Revue Française de Photogrammétrie et de Télédétection, n° 187 -188 (Décembre 2007)
[article]
Titre : Projet Life : suivi de la désertification dans les pays de la rive sud de la Méditerranée. Application au cas du Maroc Type de document : Article/Communication Auteurs : Noureddine Bijaber, Auteur ; Ahmed Erraji, Auteur ; Taoufiq Bennouna, Auteur ; Mourad Briki, Auteur Année de publication : 2007 Article en page(s) : pp 55 - 67 Note générale : Bibliographie Langues : Français (fre) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] cartographie des risques
[Termes IGN] désertification
[Termes IGN] détection de changement
[Termes IGN] image NOAA-AVHRR
[Termes IGN] indicateur biologique
[Termes IGN] indicateur environnemental
[Termes IGN] Maroc
[Termes IGN] occupation du sol
[Termes IGN] stratification
[Termes IGN] télédétection spatialeRésumé : (Auteur)La présente communication a pour objectif de présenter une approche développée pour l'étude et l'évaluation du phénomène de la désertification au niveau national et local en utilisant les techniques de télédétection spatiale. Ainsi, des capteurs à basse résolution spatiale combinés aux données exogènes ont permis de dresser les cartes de risques de désertification à l'échelle nationale en se basant sur des paramètres biophysiques (indices de végétation, température de surface) produits à partir des images NOAA/AVHRR couvrant la période de 1996 à 2002. La cartographie des changements spatio-temporels a permis de mettre en évidence les zones stables et les zones qui ont subi des variations progressives ou régressives. Ces variations ont été directement corrélées et validées par les données de terrain pour l'interprétation du type d'évolution relatif à chaque thème de l'occupation du sol. La deuxième phase de l'étude consiste à traiter les données satellite de haute résolution spatiale sur les zones présentant des changements au niveau de l'occupation du sol. Ceci a permis la production des indicateurs méso-géographiques au niveau de la zone choisie (Souss-Massa). Ces indicateurs renseignent sur la pression exercée sur les ressources naturelles de la zone étudiée. Cette pression est liée principalement aux activités anthropiques (mise en culture intensive, déforestation,..) et aux agressions climatiques (sécheresse, aridité,..). Numéro de notice : A2007-654 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=73892
in Revue Française de Photogrammétrie et de Télédétection > n° 187 -188 (Décembre 2007) . - pp 55 - 67[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 018-07031 RAB Revue Centre de documentation En réserve L003 Disponible IFN-001-P000372 PER Revue Nogent-sur-Vernisson Salle périodiques Disponible The EU-Cloudmap project: cirrus and contrail cloud-top maps from satellites for weather forecasting climate change analysis / J.P. Muller in International Journal of Remote Sensing IJRS, vol 28 n° 9 (May 2007)
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Titre : The EU-Cloudmap project: cirrus and contrail cloud-top maps from satellites for weather forecasting climate change analysis Type de document : Article/Communication Auteurs : J.P. Muller, Auteur ; J. Fischer, Auteur Année de publication : 2007 Article en page(s) : pp 1915 - 1919 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] atmosphère terrestre
[Termes IGN] changement climatique
[Termes IGN] image NOAA-AVHRR
[Termes IGN] mission spatiale
[Termes IGN] nuage
[Termes IGN] prévision météorologique
[Termes IGN] température de surfaceRésumé : (Auteur) (Introduction de l'article) The EU-CLOUD MAP project took place between 1997-2000 as a collaboration between five university and government research groups in the UK, Germany, the Netherlands and Switzerland. The original scientific motivation of the EU-CLOUDMAP Project was to improve the measurement and characterization of cirrus and contrail clouds could properties. IPCC (Penner et al. 199) demonstrated that contrail clouds could play a small but significant role in changing the radiative balance of the atmosphere based on work one of the CLOUDMAP partners (DLR) using AVHRR data over Europe. However, the scope was broadened to include properties of cloud at all altitudes as (Cess et al. 1993) had shown that depending on how cloud processes are parameterised can lead to an order of magnitude difference of surface temperature due to changes in CO2 radiative forcing. This error is by far largest uncertainty in making accurate forecasts of global warming. [...] Copyright Taylor & Francis Numéro de notice : A2007-276 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160600641913 En ligne : https://doi.org/10.1080/01431160600641913 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28639
in International Journal of Remote Sensing IJRS > vol 28 n° 9 (May 2007) . - pp 1915 - 1919[article]Exemplaires (1)
Code-barres Cote Support Localisation Section Disponibilité 080-07051 RAB Revue Centre de documentation En réserve L003 Exclu du prêt Computing coastal ocean surface curreants from infrared and ocean color satellite imagery / R.I. Crocker in IEEE Transactions on geoscience and remote sensing, vol 45 n° 2 (February 2007)
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Titre : Computing coastal ocean surface curreants from infrared and ocean color satellite imagery Type de document : Article/Communication Auteurs : R.I. Crocker, Auteur Année de publication : 2007 Article en page(s) : pp 435 - 447 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] Californie (Etats-Unis)
[Termes IGN] corrélation croisée maximale
[Termes IGN] couleur de l'océan
[Termes IGN] courant marin
[Termes IGN] image Aqua-MODIS
[Termes IGN] image NOAA-AVHRR
[Termes IGN] image Seawifs
[Termes IGN] littoral
[Termes IGN] rayonnement infrarouge thermique
[Termes IGN] spectroradiométrie
[Termes IGN] température de surface
[Termes IGN] thermographieRésumé : (Auteur) Many previous studies have demonstrated the viability of estimating advective ocean surface currents from sequential infrared satellite imagery using the maximum cross-correlation (MCC) technique when applied to 1.1-km-resolution Advanced Very High Resolution Radiometer (AVHRR) thermal infrared imagery. Applied only to infrared imagery, cloud cover and undesirable viewing conditions (gaps in satellite data and edge-of-scan distortions) limit the spatial and temporal coverage of the resulting velocity fields. In addition, MCC currents are limited to those represented by the displacements of thermal surface patterns, and hence, isothermal flow is not detected by the MCC method. The possibility of supplementing MCC currents derived from thermal AVHRR imagery was examined, with currents calculated from 1.1-km-resolution Moderate Resolution Imaging Spectroradiometer (MODIS) and Sea-viewing Wide Field-of-view Sensor (SeaWiFS) ocean color imagery, which often have spatial patterns complementary to the thermal infrared patterns. Statistical comparisons are carried out between yearlong collections of thermal and ocean color derived MCC velocities for the central California Current. It is found that the image surface patterns and resulting MCC velocities complement one another to reduce the effects of poor viewing conditions and isothermal flow. The two velocity products are found to agree quite well with a mean correlation of 0.74, a mean rms difference of 7.4 cm/s, and a mean bias less than 2 cm/s which is considerably smaller than the established absolute error of the MCC method. Merging the thermal and ocean color MCC velocity fields increases the spatial coverage by approximately 25% for this specific case study. Copyright IEEE Numéro de notice : A2007-078 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2006.883461 En ligne : https://doi.org/10.1109/TGRS.2006.883461 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28443
in IEEE Transactions on geoscience and remote sensing > vol 45 n° 2 (February 2007) . - pp 435 - 447[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-07021 RAB Revue Centre de documentation En réserve L003 Disponible 065-07022 RAB Revue Centre de documentation En réserve L003 Disponible Reflectance seasonality and its relation to the canopy leaf area index in an eastern Siberian larch forest: Multi-satellite data and radiative transfer analyses / H. Kobayashi in Remote sensing of environment, vol 106 n° 2 (30/01/2007)
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Titre : Reflectance seasonality and its relation to the canopy leaf area index in an eastern Siberian larch forest: Multi-satellite data and radiative transfer analyses Type de document : Article/Communication Auteurs : H. Kobayashi, Auteur ; R. Suzuki, Auteur ; S. Kobayashi, Auteur Année de publication : 2007 Article en page(s) : pp 238 - 252 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] analyse comparative
[Termes IGN] analyse diachronique
[Termes IGN] canopée
[Termes IGN] changement climatique
[Termes IGN] forêt boréale
[Termes IGN] image NOAA-AVHRR
[Termes IGN] image SPOT-Végétation
[Termes IGN] image Terra-MODIS
[Termes IGN] Leaf Area Index
[Termes IGN] méthode de Monte-Carlo
[Termes IGN] modèle de transfert radiatif
[Termes IGN] Normalized Difference Vegetation Index
[Termes IGN] Pinophyta
[Termes IGN] rayonnement proche infrarouge
[Termes IGN] réflectance spectrale
[Termes IGN] Russie
[Termes IGN] Sibérie
[Termes IGN] surveillance forestière
[Termes IGN] variation saisonnièreRésumé : (Auteur) Reliable monitoring of seasonality in the forest canopy leaf area index (LAI) in Siberian forests is required to advance the understanding of climate–forest interactions under global environmental change and to develop a forest phenology model within ecosystem modeling. Here, we compare multi-satellite (AVHRR, MODIS, and SPOT/VEGETATION) reflectance, normalized difference vegetation index (NDVI), enhanced vegetation index (EVI), and LAI with aircraft-based spectral reflectance data and field-measured forest data acquired from April to June in 2000 in a larch forest near Yakutsk, Russia. Field data in a 30 x 30-m study site and aircraft data observed around the field site were used. Larch is a dominant forest type in eastern Siberia, but comparison studies that consider multi-satellite data, aircraft-based reflectance, and field-based measurement data are rarely conducted. Three-dimensional canopy radiative transfer calculations, which are based on Antyufeev and Marshak's [Antyufeev, V.S., & Marshak, A.L. (1990). Monte Carlo method and transport equation in plant canopies, Remote Sensing of Environment, 31, 183–191] Monte Carlo photon transport method combined with North's [North, P.R. (1996). Three-dimensional forest light interaction model using a Monte Carlo method, IEEE Transactions on Geoscience and Remote Sensing, 34(4), 946–956] geometric-optical hybrid forest canopy scene, helped elucidate the relationship between canopy reflectance and forest structural parameters, including several forest floor conditions. Aircraft-based spectral measurements and the spectral response functions of all satellite sensors confirmed that biases in reflectance seasonality caused by differences in spectral response functions among sensors were small. However, some reflectance biases occur among the near infrared (NIR) reflectance data from satellite products; these biases were potentially caused by absolute calibration errors or cloud/cloud shadow contamination. In addition, reflectance seasonality in AVHRR-based NIR data was very small compared to other datasets, which was partially due to the spring-to-summer increase in the amount of atmospheric water vapor. Radiative transfer simulations suggest that bidirectional reflectance effects were small for the study site and observation period; however, changes in tree density and forest floor conditions affect the absolute value of NIR reflectance, even if the canopy leaf area condition does not change. Reliable monitoring of canopy LAI is achieved by minimizing these effects through the use of NIR reflectance difference, i.e., the difference in reflectance on the observation day from the reflectance on a snow-free/pre-foliation day. This may yield useful and robust parameters for multi-satellite monitoring of the larch canopy LAI with less error from intersensor biases and forest structure/floor differences. Further validation with field data and combined use of other index (e.g. normalized difference water index, NDWI) data will enable an extension of these findings to all Siberian deciduous forests. Copyright Elsevier Numéro de notice : A2007-022 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2006.08.011 En ligne : https://doi.org/10.1016/j.rse.2006.08.011 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28388
in Remote sensing of environment > vol 106 n° 2 (30/01/2007) . - pp 238 - 252[article]On comparing multifractal and classical features in minimum distance classification of AVHRR imagery / T. Parrinello in International Journal of Remote Sensing IJRS, vol 27 n°18 - 19 - 20 (October 2006)
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Titre : On comparing multifractal and classical features in minimum distance classification of AVHRR imagery Type de document : Article/Communication Auteurs : T. Parrinello, Auteur ; R.A. Vaughan, Auteur Année de publication : 2006 Article en page(s) : pp 3943 - 3959 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] classification barycentrique
[Termes IGN] classification dirigée
[Termes IGN] Ecosse
[Termes IGN] géométrie fractale
[Termes IGN] image NOAA-AVHRR
[Termes IGN] texture d'imageRésumé : (Auteur) The ability to distinguish between different types of surfaces is the strength of texture descriptors in the analysis of satellite imagery. Although the most common analytical means are based on co-occurrence analysis, considerable progress has been made in understanding the role of fractal and multifractal analysis in remote sensing. After indicating the limitations of using fractal dimensions as the only texture descriptor and introducing the concept of multifractal geometry, we consider the effectiveness of using multifractal and second-order fractal features in image classification. In particular, we present the results of comparing two supervised classifications of an Advanced Very High Resolution Radiometer (AVHRR) image of Scotland using classical texture features and multifractal second-order fractal ones. In terms of percentage correct and Khat statistics, this study provides evidence, with a confidence limit of 95%, that classifications using multifractal and second-order fractal features are more accurate than those using classical features. The classification algorithm used for this study is a typical minimum distance classifier. Copyright Taylor & Francis Numéro de notice : A2006-458 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160600685241 En ligne : https://doi.org/10.1080/01431160600685241 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28182
in International Journal of Remote Sensing IJRS > vol 27 n°18 - 19 - 20 (October 2006) . - pp 3943 - 3959[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 080-06101 RAB Revue Centre de documentation En réserve L003 Disponible Remote sensing observations of pre-earthquake thermal anomalies in Iran / S. Choudhury in International Journal of Remote Sensing IJRS, vol 27 n°18 - 19 - 20 (October 2006)PermalinkValidation of satellite observed thermal emission with in-situ measurements over an urban surface / G. Rigo in Remote sensing of environment, vol 104 n° 2 (30 September 2006)PermalinkComparison of large-area land cover products with national forest inventories and CORINE land cover in the European Alps / Lars T. Waser in International journal of applied Earth observation and geoinformation, vol 8 n° 3 (September 2006)PermalinkInter-comparison of NOAA-AVHRR and IRS-P4 (MSMR) derived sea surface temperatures / B. Jena in International Journal of Remote Sensing IJRS, vol 27 n°15-16 (August 2006)PermalinkA new method to determine near surface air temperature from satellite observations / Ranjit Singh in International Journal of Remote Sensing IJRS, vol 27 n°12-13-14 (July 2006)PermalinkMulti-platform comparisons of MODIS and AVHRR normalized difference vegetation index data / K. Gallo in Remote sensing of environment, vol 99 n° 3 (30/11/2005)PermalinkChange detection with heterogeneous data using ecoregional stratification, statistical summaries and a land allocation algorithm / K.M. Bergen in Remote sensing of environment, vol 97 n° 4 (15/09/2005)PermalinkSeparating surface emissivity and temperature using two-channel spectral indices and emissivity composites and comparison with a vegetation fraction method / P. Dash in Remote sensing of environment, vol 96 n° 1 (15/05/2005)PermalinkCalculating NDVI for NOAA/AVHRR data after atmospheric correction for extensive images using 6S code: a case study in the Marsabit district Kenya / K. Tachiiri in ISPRS Journal of photogrammetry and remote sensing, vol 59 n° 3 (May 2005)PermalinkLand covers change detection at coarse spatial scales based on iterative estimation and previous state information / Sylvie Le Hégarat-Mascle in Remote sensing of environment, vol 95 n° 4 (30/04/2005)Permalink