Academic literature on the topic 'Passive microwave SSM'

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Journal articles on the topic "Passive microwave SSM"

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Jezek, Kenneth C., Carolyn J. Merry, and Don J. Cavalieri. "Comparison of SMMR and SSM/I passive microwave data collected over Antarctica." Annals of Glaciology 17 (1993): 131–36. http://dx.doi.org/10.1017/s0260305500012726.

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Spaceborne data are becoming sufficiently extensive spatially and sufficiently lengthy over time to provide important gauges of global change. There is a potentially long record of microwave brightness temperature from NASA's Scanning Multichannel Microwave Radiometer (SMMR), followed by the Navy's Special Sensor Microwave Imager (SSM/I). Thus it is natural to combine data from successive satellite programs into a single, long record. To do this, we compare brightness temperature data collected during the brief overlap period (7 July-20 August 1987) of SMMR and SSM/I. Only data collected over
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Jezek, Kenneth C., Carolyn J. Merry, and Don J. Cavalieri. "Comparison of SMMR and SSM/I passive microwave data collected over Antarctica." Annals of Glaciology 17 (1993): 131–36. http://dx.doi.org/10.3189/s0260305500012726.

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Spaceborne data are becoming sufficiently extensive spatially and sufficiently lengthy over time to provide important gauges of global change. There is a potentially long record of microwave brightness temperature from NASA's Scanning Multichannel Microwave Radiometer (SMMR), followed by the Navy's Special Sensor Microwave Imager (SSM/I). Thus it is natural to combine data from successive satellite programs into a single, long record. To do this, we compare brightness temperature data collected during the brief overlap period (7 July-20 August 1987) of SMMR and SSM/I. Only data collected over
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Markus, Thorsten, and Barbara A. Burns. "Detection of coastal polynyas with passive microwave data." Annals of Glaciology 17 (1993): 351–55. http://dx.doi.org/10.1017/s0260305500013094.

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A method to detect sub-pixel-scale polynyas with passive microwave data has been developed. Models for the brightness temperature transition from sea ice to shelf ice, with and without a coastal polynya, are generated by simulating the satellite overflight across the coast. The models are compared with image data along transects across the coast; correlation coefficients are used to determine the best-fit model and thereby detect the influence of open water. Polynya areas derived from a single SSM/I overpass compare well with coincident AVHRR data showing a mean difference of 156 km2. A longer
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Markus, Thorsten, and Barbara A. Burns. "Detection of coastal polynyas with passive microwave data." Annals of Glaciology 17 (1993): 351–55. http://dx.doi.org/10.3189/s0260305500013094.

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A method to detect sub-pixel-scale polynyas with passive microwave data has been developed. Models for the brightness temperature transition from sea ice to shelf ice, with and without a coastal polynya, are generated by simulating the satellite overflight across the coast. The models are compared with image data along transects across the coast; correlation coefficients are used to determine the best-fit model and thereby detect the influence of open water. Polynya areas derived from a single SSM/I overpass compare well with coincident AVHRR data showing a mean difference of 156 km2. A longer
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Pivot, Frédérique C., Claude Kergomard, and Claude R. Duguay. "Use of passive-microwave data to monitor spatial and temporal variations of snow cover at tree line near Churchill, Manitoba, Canada." Annals of Glaciology 34 (2002): 58–64. http://dx.doi.org/10.3189/172756402781817590.

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AbstractWe evaluated the contribution of Special Sensor Microwave/Imager (SSM/I) passive-microwave data to the monitoring of spatial and temporal variability of snow cover in the Churchill area, Manitoba, Canada. Because of the coarse spatial resolution of current passive-microwave sensors, the estimation of snow water equivalent using empirical equations with these instruments is largely compromised in complex areas such as Churchill (forest–tundra ecotone). However, with its high frequency of observations and the availability of a long time series (1988–99), passive-microwave data from the S
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Nikraftar, Z., M. Hasanlou, and M. Esmaeilzadeh. "NOVEL SNOW DEPTH RETRIEVAL METHOD USING TIME SERIES SSMI PASSIVE MICROWAVE IMAGERY." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B8 (June 23, 2016): 525–30. http://dx.doi.org/10.5194/isprs-archives-xli-b8-525-2016.

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The Special Sensor Microwave Imager (SSM/I) and the Special Sensor Microwave Imager Sounder (SSM/IS) are satellites that work in passive microwave range. The SSM/I has capability to measure geophysical parameters which these parameters are key to investigate the climate and hydrology condition in the world. In this research the SSMI passive microwave data is used to study the feasibility of monitoring snow depth during snowfall month from 2010 to 2015 using an algorithm in conjunction with ground depth measured at meteorological stations of the National Centre for Environmental Information (NC
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Hall, Dorothy K., Richard E. J. Kelly, George A. Riggs, Alfred T. C. Chang, and James L. Foster. "Assessment of the relative accuracy of hemispheric-scale snow-cover maps." Annals of Glaciology 34 (2002): 24–30. http://dx.doi.org/10.3189/172756402781817770.

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AbstractThere are several hemispheric-scale satellite-derived snow-cover maps available, but none has been fully validated. For the period 23 October–25 December 2000, we compare snow maps of North America derived from the Moderate Resolution Imaging Spectroradiometer (MODIS) and operational snow maps from the U.S. National Oceanic and Atmospheric Administration (NOAA) National Operational Hydrologic Remote Sensing Center (NOHRSC), both of which rely on satellite data from the visible and near-infrared parts of the spectrum; we also compare MODIS maps with Defense Meteorological Satellite Prog
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Semunegus, Hilawe, Wesley Berg, John J. Bates, Kenneth R. Knapp, and Christian Kummerow. "An Extended and Improved Special Sensor Microwave Imager (SSM/I) Period of Record." Journal of Applied Meteorology and Climatology 49, no. 3 (2010): 424–36. http://dx.doi.org/10.1175/2009jamc2314.1.

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Abstract The National Oceanic and Atmospheric Administration National Climatic Data Center has served as the archive of the Defense Meteorological Satellite Program Special Sensor Microwave Imager (SSM/I) data from the F-8, F-10, F-11, F-13, F-14, and F-15 platforms covering the period from July 1987 to the present. Passive microwave satellite measurements from SSM/I have been used to generate climate products in support of national and international programs. The SSM/I temperature data record (TDR) and sensor data record (SDR) datasets have been reprocessed and stored as network Common Data F
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Nikraftar, Z., M. Hasanlou, and M. Esmaeilzadeh. "NOVEL SNOW DEPTH RETRIEVAL METHOD USING TIME SERIES SSMI PASSIVE MICROWAVE IMAGERY." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B8 (June 23, 2016): 525–30. http://dx.doi.org/10.5194/isprsarchives-xli-b8-525-2016.

Full text
Abstract:
The Special Sensor Microwave Imager (SSM/I) and the Special Sensor Microwave Imager Sounder (SSM/IS) are satellites that work in passive microwave range. The SSM/I has capability to measure geophysical parameters which these parameters are key to investigate the climate and hydrology condition in the world. In this research the SSMI passive microwave data is used to study the feasibility of monitoring snow depth during snowfall month from 2010 to 2015 using an algorithm in conjunction with ground depth measured at meteorological stations of the National Centre for Environmental Information (NC
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Forster, Richard R., David G. Long, Kenneth C. Jezek, Sheldon D. Drobot, and Mark R. Anderson. "The onset of Arctic sea-ice snowmelt as detected with passive- and active-microwave remote sensing." Annals of Glaciology 33 (2001): 85–93. http://dx.doi.org/10.3189/172756401781818428.

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AbstractDaily acquisitions from satellite microwave sensors can be used to observe the spatial and temporal characteristics of the Arctic sea-ice snowmelt onset because the initial presence of liquid water in a dry snowpack causes a dramatic change in the active-and passive-microwave response. A daily sequence of backscatter coefficient images from the NASA scatterometer (NSCAT) clearly shows the spatially continuous progression of decreasing backscatter associated with snowmelt onset across the Arctic Ocean during spring 1997. A time series of the active NSCAT backscatter and a scattering ind
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Dissertations / Theses on the topic "Passive microwave SSM"

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Köhn, Jacqueline. "Caractérisation de la température de la neige par télédétection micro-onde passive au Canada." Mémoire, Université de Sherbrooke, 2006. http://savoirs.usherbrooke.ca/handle/11143/2502.

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The understanding of the dynamics of the climatic variables is critical to model and predict climatic and environmental changes. Traditional measures collected by the meteorological stations network are dispersedly located throughout the territory in the northern high latitudes and errors associated to these variations can be considerable. Our goal is to evaluate the contribution of the remote sensing by passive microwaves compared to the ground measurements for better characterizing the variations in the surface temperature during the winter. In the presence of snow, extraction of the surface
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Book chapters on the topic "Passive microwave SSM"

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Gan, Thian Yew, Roger G. Barry, and Adam K. Gobena. "Changes in Snowpacks of Canadian Prairies for 1979-2004 Detected from Snow Water Equivalent Data of SMMR and SSM/I Passive Microwave and Related Climatic Factors." In Remote Sensing of the Terrestrial Water Cycle. John Wiley & Sons, Inc, 2014. http://dx.doi.org/10.1002/9781118872086.ch14.

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"Identification of snowcover using SSM/I measurements." In Passive Microwave Remote Sensing of Land-Atmosphere Interactions. De Gruyter, 1995. http://dx.doi.org/10.1515/9783112319307-030.

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"Application of SSM/I data for snow cover and climate research." In Passive Microwave Remote Sensing of Land-Atmosphere Interactions. De Gruyter, 1995. http://dx.doi.org/10.1515/9783112319307-016.

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Lu, Hui, Toshio Koike, Tetsu Ohta, et al. "Monitoring Soil Moisture from Spaceborne Passive Microwave Radiometers: Algorithm Developments and Applications to AMSR-E and SSM/I." In Advances in Geoscience and Remote Sensing. InTech, 2009. http://dx.doi.org/10.5772/8291.

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Conference papers on the topic "Passive microwave SSM"

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Bates, J. J., G. A. Wick, and C. C. Gottschall. "Passive microwave remote sensing of wind direction using SSM/I data." In IGARSS '98. Sensing and Managing the Environment. 1998 IEEE International Geoscience and Remote Sensing. Symposium Proceedings. (Cat. No.98CH36174). IEEE, 1998. http://dx.doi.org/10.1109/igarss.1998.702906.

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Dai, Liyun, and Tao Che. "Cross-platform calibration of SMMR, SSM/I and AMSR-E passive microwave brightness temperature." In The Sixth International Symposium on Digital Earth, edited by Huadong Guo and Changlin Wang. SPIE, 2009. http://dx.doi.org/10.1117/12.873150.

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Che, Tao, Xin Li, and Richard L. Armstrong. "Estimation of snow water equivalent from passive microwave remote sensing data (SSM/I) in Tibetan Plateau." In Third International Asia-Pacific Environmental Remote Sensing Remote Sensing of the Atmosphere, Ocean, Environment, and Space, edited by Christian D. Kummerow, JingShang Jiang, and Seiho Uratuka. SPIE, 2003. http://dx.doi.org/10.1117/12.467411.

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Lu, Hui, Toshio Koike, Tetsu Ohta, et al. "Development of a soil moisture retrieval algorithm for spaceborne passive microwave radiometers and its application to AMSR-E and SSM/I." In 2007 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2007. http://dx.doi.org/10.1109/igarss.2007.4423014.

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Perez, Chavarria M. A., C. Mejia, C. Mallet, M. Crepon, F. Badran, and S. Thiria. "Rain rate retrieval by processing the observations of the 85V and 85H GHz channels of the SSM/I and TMI passive microwave sensors." In 2009 International Joint Conference on Neural Networks (IJCNN 2009 - Atlanta). IEEE, 2009. http://dx.doi.org/10.1109/ijcnn.2009.5178887.

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O'Sullivan, J. A. "Message passing expectation-maximization algorithms." In 2005 Microwave Electronics: Measurements, Identification, Applications. IEEE, 2005. http://dx.doi.org/10.1109/ssp.2005.1628710.

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Wainwright, M. J. "Convex surrogates and stable message-passing: joint parameter estimation and prediction in coupled gaussian mixture models." In 2005 Microwave Electronics: Measurements, Identification, Applications. IEEE, 2005. http://dx.doi.org/10.1109/ssp.2005.1628630.

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