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Termes IGN > sciences naturelles > sciences de la Terre et de l'univers > géosciences > géographie physique > météorologie > température de surface > température au sol
température au solSynonyme(s)température de surface du sol température à la surface des terres |
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The 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)
[article]
Titre : The potential of the greenness and radiation (GR) model to interpret 8-day gross primary production of vegetation Type de document : Article/Communication Auteurs : Chaoyang Wu, Auteur ; Alemu Gonsamo, Auteur ; Fangmin Zhang, Auteur ; Jing M. Chen, Auteur Année de publication : 2014 Article en page(s) : pp 69 - 79 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] arbre sempervirent
[Termes IGN] bilan du carbone
[Termes IGN] croissance des arbres
[Termes IGN] écosystème forestier
[Termes IGN] Enhanced vegetation index
[Termes IGN] forêt de feuillus
[Termes IGN] indice de végétation
[Termes IGN] production primaire brute
[Termes IGN] température au solRésumé : (Auteur) Remote sensing of vegetation gross primary production (GPP) is an important step to analyze terrestrial carbon (C) cycles in response to changing climate. The availability of global networks of C flux measurements provides a valuable opportunity to develop remote sensing based GPP algorithms and test their performances across diverse regions and plant functional types (PFTs). Using 70 global C flux measurements including 24 non-forest (NF), 17 deciduous forest (DF) and 29 evergreen forest (EF), we present the evaluation of an upscaled remote sensing based greenness and radiation (GR) model for GPP estimation. This model is developed using enhanced vegetation index (EVI) and land surface temperature (LST) from the Moderate Resolution Imaging Spectroradiometer (MODIS) and global course resolution radiation data from the National Center for Environmental Prediction (NCEP). Model calibration was achieved using statistical parameters of both EVI and LST fitted for different PFTs. Our results indicate that compared to the standard MODIS GPP product, the calibrated GR model improved the GPP accuracy by reducing the root mean square errors (RMSE) by 16%, 30% and 11% for the NF, DF and EF sites, respectively. The standard MODIS and GR model intercomparisons at individual sites for GPP estimation also showed that GR model performs better in terms of model accuracy and stability. This evaluation demonstrates the potential use of the GR model in capturing short-term GPP variations in areas lacking ground measurements for most of vegetated ecosystems globally. Numéro de notice : A2014-085 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2013.10.015 En ligne : https://doi.org/10.1016/j.isprsjprs.2013.10.015 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32990
in ISPRS Journal of photogrammetry and remote sensing > vol 88 (February 2014) . - pp 69 - 79[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 081-2014021 RAB Revue Centre de documentation En réserve L003 Disponible Temperature and emissivity separation from Thermal Airborne Hyperspectral Imager (TASI) data / Yang Hang in Photogrammetric Engineering & Remote Sensing, PERS, vol 79 n° 12 (December 2013)
[article]
Titre : Temperature and emissivity separation from Thermal Airborne Hyperspectral Imager (TASI) data Type de document : Article/Communication Auteurs : Yang Hang, Auteur ; Zhang Lifu, Auteur ; Gao Yingqian, Auteur ; et al., Auteur Année de publication : 2013 Article en page(s) : pp 1099 - 1107 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] Chine
[Termes IGN] correction atmosphérique
[Termes IGN] emissivité
[Termes IGN] étalonnage radiométrique
[Termes IGN] image hyperspectrale
[Termes IGN] image TASI
[Termes IGN] radiance
[Termes IGN] température au solRésumé : (Auteur) The Thermal Airborne Hyperspectral Imager (TASI) acquires 32 bands to provide continuous spectral coverage in the wavelength range of 8 to 11.5um. The instrument was used during a field campaign in the City of Shijiazhuang, Hebei Province, China, in 2010. Land surface temperature and emissivity were measured near simultaneous with the airborne campaign for calibration and validation of the instrument. Radiance calibration was performed band-by-band using calibration coefficients, and atmospheric correction was performed using data from in situ measurements and the MODTRAN model. Surface temperature and emissivity separation were determined using the ASTER temperature-emissivity separation (ASTER_TES) and iterative spectral smooth temperature and emissivity separation (ISSTES) methods. The ASTER_TES method resulted in satisfactory agreement with ground data, with root mean square error (RMSE) values of 2.2 K for temperature and 0.0460 for broad-emissivity. The ISSTES method provided better ground validation results, with a RMSE for temperature of 1.8 K and a RMSE for broad-emissivity of 0.0394. The emissivity shapes acquired by the two methods were very similar. The results have relevance to studies of global climate change, environmental monitoring, classification, feature mining, and target recognition. Numéro de notice : A2013-688 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.79.12.1099 En ligne : https://doi.org/10.14358/PERS.79.12.1099 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32824
in Photogrammetric Engineering & Remote Sensing, PERS > vol 79 n° 12 (December 2013) . - pp 1099 - 1107[article]Global empirical model for mapping zenith wet delays onto precipitable water / Yi Bin Yao in Journal of geodesy, vol 87 n° 5 (May 2013)
[article]
Titre : Global empirical model for mapping zenith wet delays onto precipitable water Type de document : Article/Communication Auteurs : Yi Bin Yao, Auteur ; Bao Zhang, Auteur ; Shun Qiang Yue, Auteur ; et al., Auteur Année de publication : 2013 Article en page(s) : pp 439 - 448 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de géodésie spatiale
[Termes IGN] propagation du signal
[Termes IGN] radiosondage
[Termes IGN] température au sol
[Termes IGN] température de surface de la mer
[Termes IGN] vapeur d'eauRésumé : (Auteur) We can map zenith wet delays onto precipitable water with a conversion factor, but in order to calculate the exact conversion factor, we must precisely calculate its key variable Tm . Yao et al. (J Geod 86:1125–1135, 2012. doi:10.1007/s00190-012-0568-1) established the first generation of global Tm model (GTm-I) with ground-based radiosonde data, but due to the lack of radiosonde data at sea, the model appears to be abnormal in some areas. Given that sea surface temperature varies less than that on land, and the GPT model and the Bevis Tm – Ts relationship are accurate enough to describe the surface temperature and Tm , this paper capitalizes on the GPT model and the Bevis Tm – Ts relationship to provide simulated Tm at sea, as a compensation for the lack of data. Combined with the Tm from radiosonde data, we recalculated the GTm model coefficients. The results show that this method not only improves the accuracy of the GTm model significantly at sea but also improves that on land, making the GTm model more stable and practically applicable. Numéro de notice : A2013-254 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1007/s00190-013-0617-4 Date de publication en ligne : 20/02/2013 En ligne : https://doi.org/10.1007/s00190-013-0617-4 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32392
in Journal of geodesy > vol 87 n° 5 (May 2013) . - pp 439 - 448[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 266-2013051 SL Revue Centre de documentation Revues en salle Disponible Evaluation 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)
[article]
Titre : Evaluation of satellite-derived agro-climate variables in the Northern Great Plains of the United States Type de document : Article/Communication Auteurs : R. Lemons, Auteur ; A. Hewitt, Auteur ; G. Kharel, Auteur ; et al., Auteur Année de publication : 2012 Article en page(s) : pp 613 - 626 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] climat continental
[Termes IGN] données météorologiques
[Termes IGN] erreur systématique
[Termes IGN] Etats-Unis
[Termes IGN] humidité de l'air
[Termes IGN] image Aqua
[Termes IGN] plaine
[Termes IGN] précipitation
[Termes IGN] température au solRésumé : (Auteur) The climate of the United States Northern Great Plains region is highly variable. Modelling of agriculture in this region and similar locations depends on the availability and quality of satellite and ground data for agro-climate variables. We evaluated tropical rainfall measuring mission (TRMM) multi-satellite preparation analysis (TMPA) precipitation, atmospheric infrared sounder (AIRS) surface air temperature, and AIRS relative air humidity (RH). A significant bias was found within the temperature and RH products and no bias but an insufficient rain event detection skill in the precipitation product (probability of detection 0.3). A linear correction of the temperature product removed the bias as well as lowered the root mean square deviation (RMSD). The bias-corrections for RH led to increased RMSD or worse correlation. For precipitation, the correlation between the satellite product and ground data improved if cumulative precipitation or only precipitation during the growing season was used. Numéro de notice : A2012-549 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2011.653408 Date de publication en ligne : 01/02/2012 En ligne : https://doi.org/10.1080/10106049.2011.653408 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31995
in Geocarto international > vol 27 n° 8 (December 2012) . - pp 613 - 626[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 059-2012081 RAB Revue Centre de documentation En réserve L003 Disponible Using thermal remote sensing in environmental studies / M. Kubiak in Transactions in GIS, vol 16 n° 5 (October 2012)
[article]
Titre : Using thermal remote sensing in environmental studies Type de document : Article/Communication Auteurs : M. Kubiak, Auteur ; P. Dzieszko, Auteur Année de publication : 2012 Article en page(s) : pp 715 - 732 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] bilan thermique
[Termes IGN] distribution spatiale
[Termes IGN] ensoleillement
[Termes IGN] occupation du sol
[Termes IGN] Pologne
[Termes IGN] relief
[Termes IGN] température au sol
[Termes IGN] variabilitéRésumé : (Auteur) Thermovision is a relatively new method of remote sensing with applications in areas such as military operations, residential monitoring, technological process control and emergency management. Surprisingly, it has not seen much application in environmental studies. The article presents a method of using thermovision for topoclimatic studies. The method is based on the spatial distribution of land surface temperature (LST). The LST distribution indicates the amount of solar energy reaching the Earth surface and depends primarily on terrain shape and land cover types. By analyzing the LST distribution, one can determine spatial topoclimatic variability. The LST derived topoclimatic classification was compared with the theoretical topoclimatic classification based on heat balance. New classes of topoclimates were created and some of the existing types were diversified into more detailed subtypes. The analysis of selected lowland areas in north-western Poland revealed that both land cover and terrain shape characteristics had a significant impact on the LST distribution, contrary to the expectation of land cover characteristics being more important than terrain shape. The article demonstrates the possibilities of using thermovision in environmental research and presents a new method of topoclimate delimitation based on thermal remote sensing data and geographical information systems (GIS) techniques comparing. The LST classification method with conventional methods based on DEM and land cover analysis. Numéro de notice : A2012-521 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/j.1467-9671.2012.01336.x Date de publication en ligne : 15/08/2012 En ligne : https://doi.org/10.1111/j.1467-9671.2012.01336.x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31967
in Transactions in GIS > vol 16 n° 5 (October 2012) . - pp 715 - 732[article]Assessment of quality of life in Uttarakhand, India using geospatial techniques / K.R. Rao in Geocarto international, vol 27 n° 4 (July 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)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)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 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)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)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)Permalink