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Evaluation of the Oceansat-1 Multi-frequency Scanning Microwave Radiometer and its potential for soil moisture retrieval / J. Wen in International Journal of Remote Sensing IJRS, vol 27 n°18 - 19 - 20 (October 2006)  

Public [article]  inInternational Journal of Remote Sensing IJRS > vol 27 n°18 - 19 - 20 (October 2006) . - pp 3781 - 3796 Titre : Evaluation of the Oceansat-1 Multi-frequency Scanning Microwave Radiometer and its potential for soil moisture retrieval Type de document : Article/Communication Auteurs : J. Wen, Auteur ; Thomas J. Jackson, Auteur ; R. Bindlish, Auteur ; Z.B. Su, Auteur Année de publication : 2006 Article en page(s) : pp 3781 - 3796 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] analyse comparative [Termes IGN] analyse de sensibilité [Termes IGN] carte thématique [Termes IGN] erreur systématique [Termes IGN] Etats-Unis [Termes IGN] humidité du sol [Termes IGN] image IRS-MSMR [Termes IGN] température de luminance Résumé : (Auteur) The Multi-frequency Scanning Microwave Radiometer (MSMR) aboard the Indian Space Research Organization—Oceansat-1 platform measured land surface brightness temperature at a C-band frequency and provided an opportunity for exploring large-scale soil moisture retrieval during its two-year period of operation. These data may provide a valuable extension to the Scanning Multichannel Microwave Radiometer (SMMR) and the Advanced Microwave Scanning Radiometer (AMSR) since they covered a portion of the time period between the two missions. This investigation was one of the first to utilize the MSMR data for a land application and, as a result, several data quality issues had to be addressed. These included geolocation accuracy, calibration (particularly over land), erroneous data, and the significance of anthropogenic radio-frequency interference (RFI). Calibration of the low frequency channels was evaluated using inter-comparisons between the Tropical Rainfall Measuring Mission/Microwave Imager (TRMM/TMI) and the MSMR brightness temperatures. Biases (TMI TB>MSMR TB) of 3.4 and 3.6 K were observed over land for the MSMR 10.65 GHz horizontal and vertical polarization channels, respectively. These results suggested that additional calibration of the MSMR data was required. Comparisons between the MSMR measured brightness temperature and ground measured volumetric soil moisture collected during the South Great Plain experiment (SGP99) indicated that the lower frequency and horizontal polarization observations had higher sensitivity to soil moisture. Using a previously developed soil emission model, multi-temporal regional soil moisture distributions were retrieved for the continental United States. Comparisons between the MSMR based soil moisture and ground measured volumetric soil moisture indicated a standard error of estimate of 0.052 m3/m3. Copyright Taylor & Francis Numéro de notice : A2006-456 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160500075642 En ligne : https://doi.org/10.1080/01431160500075642 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28180 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
080-06101	RAB	Revue	Centre de documentation	En réserve L003	Disponible

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)  

Public [article]  inInternational Journal of Remote Sensing IJRS > vol 27 n°15-16 (August 2006) . - pp 3123 - 3130 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 mer Résumé : (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 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
080-06081	RAB	Revue	Centre de documentation	En réserve L003	Disponible