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Inter-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)
[article]
Titre : Inter-comparison of NOAA-AVHRR and IRS-P4 (MSMR) derived sea surface temperatures Type de document : Article/Communication Auteurs : B. Jena, Auteur ; S.K. Sasmal, Auteur ; et al., Auteur Année de publication : 2006 Article en page(s) : pp 3123 - 3130 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] analyse comparative
[Termes IGN] analyse diachronique
[Termes IGN] image IRS-MSMR
[Termes IGN] image NOAA-AVHRR
[Termes IGN] nébulosité
[Termes IGN] Persique, golfe
[Termes IGN] radiomètre à hyperfréquence
[Termes IGN] rayonnement infrarouge thermique
[Termes IGN] température de surface de la merRésumé : (Auteur) Due to the limitations of infrared remote sensing, sea surface temperature (SST) can be derived only under clear sky conditions from the infrared channels like those in National Oceanic and Atmospheric Administration (NOAA) advanced very high resolution radiometer (AVHRR), where as microwave radiometers can provide SST even under cloudy conditions. However, the accuracy of SST derived from the microwave sensor is less with a poor spatial resolution. In this study, SSTs over the Arabian Sea derived from NOAA-AVHRR and Indian Remote Sensing Satellite (IRS-P4) multi-frequency scanning microwave radiometer (MSMR) observations have been compared on weekly basis with a view to blend these two observations, so that SST can be provided continuously even under cloudy conditions. The NOAA-AVHRR derived pathfinder SSTs with spatial resolution of 18 km were averaged to 1.5°*1.5° grid resolutions to match with MSMR observations. The analysis was carried out during 2000. Statistical analysis of the NOAA-AVHRR SST shows that the spatial variation of SST within 1.5° grid is negligible compared with the MSMR accuracy of 1.52°C. Thus the comparison of SST from these two sources with different spatial resolution is reasonable. The RMS difference is 1.55°C with a correlation coefficient of 0.73. After removing the seasonal bias, the RMS difference reduced to 0.66°C and the coefficient of correlation improved to 0.89. The correlation coefficient between the two observations has further improved to 0.90 and the RMS difference reduced to 0.53°C when the averaging was done using 5°*5° grid resolution. The accuracy of satellite derived SSTs are also evaluated with the moored buoy observations over the Arabian Sea. The accuracy of MSMR SST observations have improved if 95% confidence level data is considered. The results indicate the possibility of replacing the data gaps in AVHRR SSTs with MSMR estimations after adjusting for the seasonal biases. Copyright Taylor & Francis Numéro de notice : A2006-335 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160600580608 En ligne : https://doi.org/10.1080/01431160600580608 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28059
in International Journal of Remote Sensing IJRS > vol 27 n°15-16 (August 2006) . - pp 3123 - 3130[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 080-06081 RAB Revue Centre de documentation En réserve L003 Disponible A 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)
[article]
Titre : A new method to determine near surface air temperature from satellite observations Type de document : Article/Communication Auteurs : Ranjit Singh, Auteur ; C.M. Kishtawal, Auteur Année de publication : 2006 Article en page(s) : pp 2831 - 2846 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] algorithme génétique
[Termes IGN] image DMSP-SSM/I
[Termes IGN] image NOAA-AVHRR
[Termes IGN] température au sol
[Termes IGN] température de surface de la mer
[Termes IGN] température en altitude
[Termes IGN] vapeur d'eauRésumé : (Auteur) We present a new method to determine the near surface air temperature (Ta) from satellite observations. The satellite observed parameters of total precipitable water (W), atmospheric boundary layer (~500 m) water vapour (Wb), and sea surface temperature (SST) are used to derive Ta. A genetic algorithm (GA) is used to find the optimum relation between the input (W, Wb, SST) and output (Ta) parameters. The input data consist of 6 years (1988–1993) of insTanTaneous as well as monthly averages of W, Wb from the Special Sensor Microwave Imager (SSM/I), and SST data from the Advanced Very High Resolution Radiometer (AVHRR). Ta observations based on Comprehensive Ocean Atmospheric Data Set (COADS) are used to develop and evaluate the new methodology. The global mean root mean square (rms) error for instantaneous Ta estimates is 1.4°C and for monthly averages it decreases to 0.74°C. Slightly higher discrepancies between Ta derived from the new method and in situ data are found over the western boundary currents (such as the Kuroshio and Gulf Stream) during wintertime. These regions are characterized by continental cold air outbreak and seasonal current systems, particularly during wintertime. During these conditions weak coupling between SST and Ta may be one of the reasons for large error over these regions. Our method improves upon the air temperature estimates of earlier studies. Copyright Taylor & Francis Numéro de notice : A2006-307 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160500195234 En ligne : https://doi.org/10.1080/01431160500195234 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28031
in International Journal of Remote Sensing IJRS > vol 27 n°12-13-14 (July 2006) . - pp 2831 - 2846[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 080-06071 RAB Revue Centre de documentation En réserve L003 Disponible Multi-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)
[article]
Titre : Multi-platform comparisons of MODIS and AVHRR normalized difference vegetation index data Type de document : Article/Communication Auteurs : K. Gallo, Auteur ; L. Ji, Auteur ; et al., Auteur Année de publication : 2005 Article en page(s) : pp 221 - 231 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] analyse comparative
[Termes IGN] capteur (télédétection)
[Termes IGN] image NOAA-AVHRR
[Termes IGN] image Terra-MODIS
[Termes IGN] Normalized Difference Vegetation IndexRésumé : (Auteur) The relationship between AVHRR-derived normalized difference vegetation index (NDVI) values and those of future sensors is critical to continued long-term monitoring of land surface properties. The follow-on operational sensor to the AVHRR, the Visible/Infrared Imager/ Radiometer Suite (VIIRS), will be very similar to the NASA Earth Observing System's Moderate Resolution Imaging Spectroradiometer (MODIS) sensor. NDVI data derived from visible and near-infrared data acquired by the MODIS (Terra and Aqua platforms) and AVHRR (NOAA-16 andNOAA-17) sensors were compared over the same time periods and a variety of land cover classes within the conterminous United States. The results indicate that the 16-day composite NDVI values are quite similar over the composite intervals of 2002 and 2003, and linear relationships exist between the NDVI values from the various sensors. The composite AVHRR NDVI data included water and cloud masks and adjustments for water vapor as did the MODIS NDVI data. When analyzed over a variety of land cover types and composite intervals, the AVHRR derived NDVI data were associated with 89% or more of the variation in the MODIS NDVI values. The results suggest that it may be possible to successfully reprocess historical AVHRR data sets to provide continuity of NDVI products through future sensor systems. Numéro de notice : A2005-458 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2005.08.014 En ligne : https://doi.org/10.1016/j.rse.2005.08.014 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27594
in Remote sensing of environment > vol 99 n° 3 (30/11/2005) . - pp 221 - 231[article]Change 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)
[article]
Titre : Change detection with heterogeneous data using ecoregional stratification, statistical summaries and a land allocation algorithm Type de document : Article/Communication Auteurs : K.M. Bergen, Auteur ; Daniel G. Brown, Auteur ; et al., Auteur Année de publication : 2005 Article en page(s) : pp 434 - 446 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] analyse comparative
[Termes IGN] analyse diachronique
[Termes IGN] carte d'occupation du sol
[Termes IGN] classification non dirigée
[Termes IGN] détection de changement
[Termes IGN] données hétérogènes
[Termes IGN] Etats-Unis
[Termes IGN] forêt
[Termes IGN] image NOAA-AVHRR
[Termes IGN] occupation du sol
[Termes IGN] photographie aérienneRésumé : (Auteur) A ca.1980 national-scale land-cover classification based on aerial photo interpretation was combined with 2000 AVHRR satellite imagery to derive land cover and land-cover change information for forest, urban, and agriculture categories over a seven-state region in the U.S.. To derive useful land-cover change data using a heterogeneous dataset and to validate our results, we a) stratified the classification using predefined ecoregions, b) developed statistical relationships by ecoregion between land-cover proportions derived from the 1980 national-level classification and aggregate statistical data that were available in times series for all regions in the U.S., c) classified multi-temporal AVHRR data using a process that constrained the results to the estimated proportions of land covers in ecoregions within a multi-objective land allocation (MOLA) procedure, d) interpreted land cover from a sample of a aerial photographs from 2000, following the protocols used to land-cover change results for the MOLA method with an unsupervised classification alone. Overall accuracies for the 2000 MOLA and unsupervised land-cover classifications were 85% and 82% respectively. On average, the 1980-2000 land-cover changes RMSEs were one order of magnitude lower using the MOLA methods compared with those based on the unsupervised data. Numéro de notice : A2005-394 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2005.03.016 En ligne : https://doi.org/10.1016/j.rse.2005.03.016 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27530
in Remote sensing of environment > vol 97 n° 4 (15/09/2005) . - pp 434 - 446[article]Separating 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)
[article]
Titre : Separating surface emissivity and temperature using two-channel spectral indices and emissivity composites and comparison with a vegetation fraction method Type de document : Article/Communication Auteurs : P. Dash, Auteur ; F. Göttsche, Auteur ; et al., Auteur Année de publication : 2005 Article en page(s) : pp 1 - 17 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] analyse comparative
[Termes IGN] correction atmosphérique
[Termes IGN] données de terrain
[Termes IGN] données météorologiques
[Termes IGN] éclairement énergétique
[Termes IGN] emissivité
[Termes IGN] erreur
[Termes IGN] image NOAA-AVHRR
[Termes IGN] Normalized Difference Vegetation Index
[Termes IGN] radiance
[Termes IGN] rayonnement infrarouge thermique
[Termes IGN] saison
[Termes IGN] simulation de surface
[Termes IGN] température au sol
[Termes IGN] thermal infrared multispectral scannerRésumé : (Auteur) The temperature-independent thermal infrared spectral indices (TISI) method is employed for the separation of land surface temperature (LST) and emissivity from surface radiances (atmospherically corrected satellite data). The daytime reflected solar irradiance and the surface emission at ~3.8 um have comparable magnitudes. Using surface radiances and a combination of day-night 2-channel TISI ratios, the ~3.8 um reflectivity is derived. For implementing the TISI method, coefficients for NOAA 9-16 AVHRR channels are obtained. A numerical analysis with simulated surface radiances shows that for most surface types (showing nearly Lambertian behavior) the achievable accuracy is ~0.005 for emissivity (AVHRR channel-5) and ~1.5 K for LST. Data from the European Centre for Medium-Range Weather Forecasts (ECMWF) is used for calculation of atmospheric attenuation. Comparisons are made over a part of central Europe on two différent dates (seasons). Clouds pose a major problem to surface observations; hence, monthly emissivity composites are derived. Additionally, using TISI-based monthly composites of emissivities, a normalized difference vegetation index (NDVI)-based method is tuned to the particular study area and the results are intercompared. Once the coefficients are known, the NDVI method is easily implemented but holds well only for vegetated areas. The error of the NDVI-based emissivities (with respect to the TISI results) ranges between -0.038 and 0.032, but for vegetated areas the peak of the error-histogram is at ~0.002. The algorithm for retrieving emissivity via TISI was validated with synthetic data. Due to the different spatial scales of satellite and surface measurements and the lack of homogeneous areas, which are representative for low-resolution pixels and ground measurements, ground-validation is a daunting task. However, for operational products ground-truth validation is necessary. Therefore, also an approach to identify suitable validation sites for meteorological satellite products in Europe is described. Numéro de notice : A2005-209 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2004.12.023 En ligne : https://doi.org/10.1016/j.rse.2004.12.023 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27346
in Remote sensing of environment > vol 96 n° 1 (15/05/2005) . - pp 1 - 17[article]Calculating 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)PermalinkMicrowave land emissivity calculations using AMSU measurements / Fatima Karbou in IEEE Transactions on geoscience and remote sensing, vol 43 n° 5 (May 2005)PermalinkNOAA operational hydrological products derived from the Advanced Microwave Sounding Unit / R.R. Ferraro in IEEE Transactions on geoscience and remote sensing, vol 43 n° 5 (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)PermalinkA method for detecting large-scale forest covers change using coarse spatial resolution imagery / R.H. Fraser in Remote sensing of environment, vol 95 n° 4 (30/04/2005)PermalinkDiurnal variations in AVHRR SST [sea surface temperature] fields: a strategy for removing warm layer effects from daily images / B.B. Nardelli in Remote sensing of environment, vol 95 n° 1 (15/03/2005)PermalinkA land cover distribution composite image from coarse spatial resolution images using an unmixing method / T.M. Uenishi in International Journal of Remote Sensing IJRS, vol 26 n° 5 (March 2005)PermalinkEnjeux écologiques et menace incendie / Y.E. Boyeau (2005)PermalinkAutomated detection of thermal features of active volcanoes by means of infrared AVHRR records / N. Pergola in Remote sensing of environment, vol 93 n° 3 (15/11/2004)PermalinkRegional simulation of ecosystem CO2 and water vapor exchange for agricultural land using NOAA AVHRR and Terra MODIS satellite data: Application to Zealand, Denmark / Rasmus M. Houborg in Remote sensing of environment, vol 93 n° 1 (30/10/2004)Permalink