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Spatiotemporally characterizing urban temperatures based on remote sensing and GIS analysis: a case study in the city of Saskatoon (SK, Canada) / Li Shen in Open geosciences, vol 7 n° 1 (January 2015)
[article]
Titre : Spatiotemporally characterizing urban temperatures based on remote sensing and GIS analysis: a case study in the city of Saskatoon (SK, Canada) Type de document : Article/Communication Auteurs : Li Shen, Auteur ; Xulin Guo, Auteur ; Kang Xiao, Auteur Année de publication : 2015 Article en page(s) : pp 27 - 39 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] Canada
[Termes IGN] image Aqua-MODIS
[Termes IGN] image Landsat
[Termes IGN] image Terra-MODIS
[Termes IGN] milieu urbain
[Termes IGN] régression linéaire
[Termes IGN] température au sol
[Termes IGN] température de l'air
[Termes IGN] température de luminanceRésumé : (auteur) The purpose of this study is to spatiotemporally explore the characteristics of urban temperatures based on multi-temporal satellite data and historical in situ measurements. As one of the most rapidly urbanized cities in Canada, Saskatoon (SK) was selected as our study area. Surface brightness retrieving, Pearson correlation, linear regression modeling, and buffer analysis were applied to different satellite datasets. The results indicate that both Landsat and MODIS data can yield pronounced estimations of daily air temperature with a significantly adjusted R2 of 0.803 and 0.518 at the spatial scales of 120m and 1000 m, respectively. MODIS monthly LST data is highly suitable for monitoring the trend of monthly urban air temperature throughout summer (June, July, and August) due to a high average R2 of 0.8 (P Numéro de notice : A2015-436 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1515/geo-2015-0005 En ligne : https://doi.org/10.1515/geo-2015-0005 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=77036
in Open geosciences > vol 7 n° 1 (January 2015) . - pp 27 - 39[article]Modélisation 3D d'arbre pour comprendre le climat urbain : un projet multidisciplinaire ambitieux / Tania Landes in XYZ, n° 141 (décembre 2014 - février 2015)
[article]
Titre : Modélisation 3D d'arbre pour comprendre le climat urbain : un projet multidisciplinaire ambitieux Type de document : Article/Communication Auteurs : Tania Landes, Auteur ; Christelle Hayot, Auteur ; Georges Najjar, Auteur ; et al., Auteur Année de publication : 2014 Article en page(s) : pp 61 - 68 Note générale : Bibliographie Langues : Français (fre) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] arbre (flore)
[Termes IGN] climat urbain
[Termes IGN] données de terrain
[Termes IGN] données laser
[Termes IGN] modélisation 3D
[Termes IGN] semis de points
[Termes IGN] Strasbourg
[Termes IGN] température de surface
[Termes IGN] villeRésumé : (Auteur) Depuis plusieurs années, les effets liés aux changements climatiques occupent régulièrement les colonnes de nos quotidiens. La fonte des glaciers, les inondations récurrentes, les catastrophes naturelles, la détérioration de la qualité de l'air, sont autant d'évènements dont la recrudescence éveille notre inquiétude. L'urbanisation incessante et la minéralisation des sols de nos villes sont sûrement des facteurs jouant un rôle prépondérant dans cette mutation. Dans ce contexte, il semble urgent d'améliorer nos connaissances sur le climat urbain, en particulier sur les facteurs l'impactant, et de trouver des solutions visant à augmenter la résilience de notre lieu de vie. Numéro de notice : A2014-682 Affiliation des auteurs : non IGN Thématique : FORET/GEOMATIQUE/IMAGERIE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=75185
in XYZ > n° 141 (décembre 2014 - février 2015) . - pp 61 - 68[article]Réservation
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Modélisation 3D d'arbre pour comprendre le climat urbain - pdf éditeurAdobe Acrobat PDF Recovering quantitative remote sensing products contaminated by thick clouds and shadows using multitemporal dictionary learning / X. Li in IEEE Transactions on geoscience and remote sensing, vol 52 n° 11 tome 1 (November 2014)
[article]
Titre : Recovering quantitative remote sensing products contaminated by thick clouds and shadows using multitemporal dictionary learning Type de document : Article/Communication Auteurs : X. Li, Auteur ; H. Shen, Auteur ; L. Zhang, Auteur ; et al., Auteur Année de publication : 2014 Article en page(s) : pp 7086 - 7098 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] apprentissage (cognition)
[Termes IGN] détection d'ombre
[Termes IGN] réflectance
[Termes IGN] température de surfaceRésumé : (Auteur) With regard to quantitative remote sensing products in the visible and infrared ranges, thick clouds and accompanying shadows are an inevitable source of noise. Due to the absence of adequate supporting information from the data themselves, it is a formidable challenge to accurately restore the surficial information underlying large-scale clouds. In this paper, dictionary learning is expanded into the multitemporal recovery of quantitative data contaminated by thick clouds and shadows. This paper proposes two multitemporal dictionary learning algorithms, expanding on their KSVD and Bayesian counterparts. In order to make better use of the temporal correlations, the expanded KSVD algorithm seeks an optimized temporal path, and the expanded Bayesian method adaptively weights the temporal correlations. In the experiments, the proposed algorithms are applied to a reflectance product and a land surface temperature product, and the respective advantages of the two algorithms are investigated. The results show that, from both the qualitative visual effect and the quantitative objective evaluation, the proposed methods are effective. Numéro de notice : A2014-543 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2014.2307354 En ligne : https://doi.org/10.1109/TGRS.2014.2307354 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=74160
in IEEE Transactions on geoscience and remote sensing > vol 52 n° 11 tome 1 (November 2014) . - pp 7086 - 7098[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-2014111A RAB Revue Centre de documentation En réserve L003 Disponible Hyperspectral imagery for disaggregation of land surface temperature with selected regression algorithms over different land use land cover scenes / Aniruddha Ghosh in ISPRS Journal of photogrammetry and remote sensing, vol 96 (October 2014)
[article]
Titre : Hyperspectral imagery for disaggregation of land surface temperature with selected regression algorithms over different land use land cover scenes Type de document : Article/Communication Auteurs : Aniruddha Ghosh, Auteur ; P.K. Joshi, Auteur Année de publication : 2014 Article en page(s) : pp 76 - 93 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] image hyperspectrale
[Termes IGN] occupation du sol
[Termes IGN] régression
[Termes IGN] température de surfaceRésumé : (Auteur)Land surface temperature (LST), a key parameter in understanding thermal behavior of various terrestrial processes, changes rapidly and hence mapping and modeling its spatio-temporal evolution requires measurements at frequent intervals and finer resolutions. We designed a series of experiments for disaggregation of LST (DLST) derived from the Landsat ETM + thermal band using narrowband reflectance information derived from the EO1-Hyperion hyperspectral sensor and selected regression algorithms over three geographic locations with different climate and land use land cover (LULC) characteristics. The regression algorithms applied to this end were: partial least square regression (PLS), gradient boosting machine (GBM) and support vector machine (SVM). To understand the scale dependence of regression algorithms for predicting LST, we developed individual models (local models) at four spatial resolutions (480 m, 240 m, 120 m and 60 m) and tested the differences between these using RMSE derived from cross-validated samples. The sharpening capabilities of the models were assessed by predicting LST at finer resolutions using models developed at coarser spatial resolution. The results were also compared with LST produced by DisTrad sharpening model. It was found that scale dependence of the models is a function of the study area characteristics and regression algorithms. Considering the sharpening experiments, both GBM and SVM performed better than PLS which produced noisy LST at finer spatial resolutions. Based on the results, it can be concluded that GBM and SVM are more suitable algorithms for operational implementation of this application. These algorithms outperformed DisTrad model for heterogeneous landscapes with high variation in soil moisture content and photosynthetic activities. The variable importance measure derived from PLS and GBM provided insights about the characteristics of the relevant bands. The results indicate that wavelengths centered around 457, 671, 1488 and 2013–2083 nm are the most important in predicting LST. Nevertheless, further research is needed to improve the performance of regression algorithms when there is a large variability in LST and to examine the utility of narrowband vegetation indices to predict the LST. The benefits of this research may extend to applications such as monitoring urban heat island effect, volcanic activity and wildfire, estimating evapotranspiration and assessing drought severity. Numéro de notice : A2014-385 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2014.07.003 En ligne : https://doi.org/10.1016/j.isprsjprs.2014.07.003 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=73812
in ISPRS Journal of photogrammetry and remote sensing > vol 96 (October 2014) . - pp 76 - 93[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-2014101 RAB Revue Centre de documentation En réserve L003 Disponible Spatial interpolation to predict missing attributes in GIS using semantic kriging / Shrutilipi Bhattacharjee in IEEE Transactions on geoscience and remote sensing, vol 52 n° 8 Tome 2 (August 2014)
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Titre : Spatial interpolation to predict missing attributes in GIS using semantic kriging Type de document : Article/Communication Auteurs : Shrutilipi Bhattacharjee, Auteur ; Pabitra Mitra, Auteur ; Sanjay Kumar Ghosh, Auteur Année de publication : 2014 Article en page(s) : pp 4771 - 4780 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] attribut géomètrique
[Termes IGN] géostatistique
[Termes IGN] Inde
[Termes IGN] interpolation spatiale
[Termes IGN] krigeage
[Termes IGN] métropole
[Termes IGN] température au solRésumé : (Auteur) Prediction of spatial attributes has attracted significant research interest in recent years. It is challenging especially when spatial data contain errors and missing values. Geostatistical estimators are used to predict the missing attribute values from the observed values of known surrounding data points, a general form of which is referred as kriging in the field of geographic information system and remote sensing. The proposed semantic kriging (SemK) tries to blend the semantics of spatial features (of surrounding data points) with ordinary kriging (OK) method for prediction of the attribute. Experimentation has been carried out with land surface temperature data of four major metropolitan cities in India. It shows that SemK outperforms the OK and most of the existing spatial interpolation methods. Numéro de notice : A2014-437 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2013.2284489 En ligne : https://doi.org/10.1109/TGRS.2013.2284489 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=73974
in IEEE Transactions on geoscience and remote sensing > vol 52 n° 8 Tome 2 (August 2014) . - pp 4771 - 4780[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-2014081B RAB Revue Centre de documentation En réserve L003 Disponible Cloud removal for remotely sensed images by similar pixel replacement guided with a spatio-temporal MRF model / Qing Cheng in ISPRS Journal of photogrammetry and remote sensing, vol 92 (June 2014)PermalinkEffects of green space spatial pattern on land surface temperature: Implications for sustainable urban planning and climate change adaptation / Matthew Maimaitiyiming in ISPRS Journal of photogrammetry and remote sensing, vol 89 (March 2014)PermalinkImproved one/multi-parameter models that consider seasonal and geographic variations for estimating weighted mean temperature in ground-based GPS meteorology / Yi Bin Yao in Journal of geodesy, vol 88 n° 3 (March 2014)PermalinkEnvironmental public health applications using remotely sensed data / Mohammad Z. Al-Hamdan in Geocarto international, vol 29 n° 1 - 2 (February - April 2014)PermalinkThe potential of the greenness and radiation (GR) model to interpret 8-day gross primary production of vegetation / Chaoyang Wu in ISPRS Journal of photogrammetry and remote sensing, vol 88 (February 2014)PermalinkTemperature and emissivity separation from Thermal Airborne Hyperspectral Imager (TASI) data / Yang Hang in Photogrammetric Engineering & Remote Sensing, PERS, vol 79 n° 12 (December 2013)PermalinkDevelopment of a 3-D urbanization index using digital terrain models for surface urban heat island effects / Chih-Da Wu in ISPRS Journal of photogrammetry and remote sensing, vol 81 (July 2013)PermalinkGlobal empirical model for mapping zenith wet delays onto precipitable water / Yi Bin Yao in Journal of geodesy, vol 87 n° 5 (May 2013)PermalinkAccroissement stochastique de la résolution spatiale des traceurs géophysiques de l'océan : application aux observations satellitaires de la température de surface de l'océan / Brahim Boussidi in Revue Française de Photogrammétrie et de Télédétection, n° 202 (Avril 2013)PermalinkEvaluation of different methods to retrieve the hemispherical downwelling irradiance in the thermal infrared region for field measurements / Vicente Garcia-Santos in IEEE Transactions on geoscience and remote sensing, vol 51 n° 4 Tome 2 (April 2013)PermalinkEvaluation of satellite-derived agro-climate variables in the Northern Great Plains of the United States / R. Lemons in Geocarto international, vol 27 n° 8 (December 2012)PermalinkA spatiotemporal GIS framework applied to the analysis of changes in temperature patterns / James Bothwell in Transactions in GIS, vol 16 n° 6 (December 2012)PermalinkUsing thermal remote sensing in environmental studies / M. Kubiak in Transactions in GIS, vol 16 n° 5 (October 2012)PermalinkAssessment of quality of life in Uttarakhand, India using geospatial techniques / K.R. Rao in Geocarto international, vol 27 n° 4 (July 2012)PermalinkEffect of climatic cycles in Pacific Ocean on mean sea level variations over the Southwest Pacific Ocean and Tasman Sea / Anthony Wiart (2012)PermalinkPermalinkvol 49 n° 4 - April 2011 - Special issue on remote sensing and modeling of surface properties (Bulletin de IEEE Transactions on geoscience and remote sensing) / Geoscience and remote sensing societyPermalinkDiurnal cycle of the intertropical discontinuity over West Africa analysed by remote sensing and mesoscale modelling / Bernhard Pospichal in Quarterly Journal of the Royal Meteorological Society, vol 136 n° S1 (January 2010)PermalinkRelevés de température au marégraphe de Marseille / Alain Coulomb in Comptes rendus : Géoscience, vol 342 n° 1 (janvier 2010)PermalinkValidation of Landsat-7-ETM+ thermal-band calibration and atmospheric correction whith ground-based measurements / C. Coll in IEEE Transactions on geoscience and remote sensing, vol 48 n° 1 Tome 2 (January 2010)PermalinkObservations satellitaires des variations de températures de la surface urbaine : exemples des villes de Marseille et de Paris / B. Dousset in Photo interprétation, European journal of applied remote sensing, vol 45 n° 1 (mars 2009)Permalinkvol 29 n° 21 - October 2008 - Satellite observations of the atmosphere, oceans and their interface in relation to climate, natural hazards and management of coastal zone (Bulletin de International Journal of Remote Sensing IJRS) / G. LevyPermalinkSpatialisation de la température et des flux énergétiques de surface à partir des données satellitaires Landsat ETM+ / M. Mehor in Revue Française de Photogrammétrie et de Télédétection, n° 190 (Septembre 2008)PermalinkMulti-sensor model-data fusion for estimation of hydrologic and energy flux parameters / L. Renzullo in Remote sensing of environment, vol 112 n° 4 (15/04/2008)PermalinkRetrieving ocean surface current by 4D variational assimilation of Sea Surface Temperature images / G. Korotaev in Remote sensing of environment, vol 112 n° 4 (15/04/2008)PermalinkRetrieving soil temperature profile by assimilating MODIS LST products with ensemble Kalman filter / C. Huang in Remote sensing of environment, vol 112 n° 4 (15/04/2008)PermalinkLandsat ETM+ image applications to extract information for environmental planning in a Colombian city / L.M. Santana in International Journal of Remote Sensing IJRS, vol 28 n°19-20 (October 2007)PermalinkUrban radiation balance of two coastal cities in a hot and dry environment / C.M. Frey in International Journal of Remote Sensing IJRS, vol 28 n°11-12 (June 2007)PermalinkThe 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)PermalinkComputing 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)PermalinkEvaluating NDVI-based emissivities of MODIS bands 31 and 32 using emissivities derived by day/night LST algorithm / M. Momeni in Remote sensing of environment, vol 106 n° 2 (30/01/2007)PermalinkUrban surface biophysical descriptors and land surface temperature variations / D. Weng in Photogrammetric Engineering & Remote Sensing, PERS, vol 72 n° 11 (November 2006)PermalinkRemote 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)PermalinkComparative analysis of urban reflectance and surface temperature / C. 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Deschamps (1990)PermalinkEstimation of the horizontal velocity of the Socotra eddy and some observations of sea surface thermal features using Insat-1b / M.M. Ali in International Journal of Remote Sensing IJRS, vol 11 n° 1 (January 1990)PermalinkEtalonnage et validation d'un modèle de flux de surface dans le cas de l'expérience Hapex-Mobilhy. Application à l'estimation de la résistance d'un couvert / M. Ben Mehrez (1990)PermalinkHalieutique, océanographie et télédétection / Marcel Petit (1990)PermalinkHAREM [Halieutique et Radar, Expérimentation en Méditerranée] / Marcel Petit (1990)PermalinkMonitoring global land surface using Nimbus-7 37ghz data : theory and examples / B.J. Choudhury in International Journal of Remote Sensing IJRS, vol 10 n° 10 (October 1989)Permalink