Assessment of the NASA AMSR-E SWE Product

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Volumn 3, Issue 1, 2010, Pages 141-159

  Tedesco, Marco ^a   Narvekar, Parag S ^a  

^a CITY COLLEGE OF NEW YORK   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADVANCED MICROWAVE SCANNING RADIOMETER; ALGORITHM PERFORMANCE; ANCILLARY DATA; AUTOMATIC WEATHER STATIONS; BRIGHTNESS TEMPERATURES; DATA ASSIMILATION SYSTEMS; DATA CENTERS; DEPTH VALUE; EARTH OBSERVING SYSTEMS; GRAIN SIZE; LINEAR APPROACH; MICROWAVE BRIGHTNESS TEMPERATURE; NUMBER OF SAMPLES; PASSIVE MICROWAVE SENSORS; SCANNING MULTICHANNEL MICROWAVE RADIOMETER; SNOW AND ICE; SNOW DEPTHS; SNOW WATER EQUIVALENT; SPACE-BORNE; WORLD METEOROLOGICAL ORGANIZATIONS;

ALGORITHMS; MICROWAVE DEVICES; MICROWAVES; NASA; RADIOMETERS; RADIOMETRY; REMOTE SENSING; SNOW; SNOW MELTING SYSTEMS; TEMPERATURE; WEATHER INFORMATION SERVICES;

MICROWAVE SENSORS;

ALGORITHM; ASSESSMENT METHOD; BRIGHTNESS TEMPERATURE; CORRELATION; EOS; MICROWAVE RADIOMETER; PERFORMANCE ASSESSMENT; SATELLITE DATA; SNOW COVER; SNOW WATER EQUIVALENT; UNCERTAINTY ANALYSIS;

EID: 77649118969     PISSN: 19391404     EISSN: 21511535     Source Type: Journal    
DOI: 10.1109/JSTARS.2010.2040462     Document Type: Article

References (36)

1. A. T. C. Chang, J. L. Foster, and D. K. Hall “Nimbus 7 SMMR derived global snow cover parameters,” Ann. Glaciology, vol. 9, pp. 39–44, 1987.
2. J. L. Foster, A. T. C. Chang, and D. K. Hall “Comparison of snow mass estimates from a prototype passive microwave snow algorithm, a revised algorithm and snow depth climatology,” Remote Sens. Environ., vol. 62, pp. 132–142, 1997.
3. J. Aschbacher, “Land Surface Studies and Atmospheric Effects by Satellite Microwave Radiometry,” Ph.D. dissertation, Univ. Innsbruck, Austria, 1989.
4. J. L. Foster, C. J. Sun, J. P. Walker, R. Kelly, A. Chang, Dong, and J. R. Powell, “Quantifying the uncertainty in passive microwave snow water equivalent observations,” Remote Sens. Environ., vol. 94, no. 2, pp. 187–203, 2005.
5. M. Hallikainen and P. Jolma “Comparison of algorithms for the retrieval of snow water equivalent from NIMBUS-7 SMMR data in Finland,” IEEE Trans. Geosci. Remote Sens., vol. 30, pp. 124–131, 1992.
6. B. Goodison and A. Walker, “Canadian development and use of snow cover information from passive microwave satellite data,” in Passive Microwave Remote Sensing of Land-Atmosphere Interactions, B. Choudhury, Y. Kerr, E. Njoku, and P. Pampaloni, Eds. Utrecht, The Netherlands: VSP BV, 1995, pp. 245–262.
7. A. Tait “Estimation of snow water equivalent using passive microwave radiation data,” Remote Sens. Environ., vol. 64, pp. 286–291, 1998.
8. K. Goita, A. Walker, and B. Goodison, “Algorithm development for the estimation of snow water equivalent in the boreal forest using passive microwave data,” Int. J. Remote Sens., vol. 24, no. 5, pp. 1097–1102, 2003.
9. C. Derksen, A. Walker, and B. Goodison, “A comparison of 18 winter seasons of in situ and passive microwave-derived snow water equivalent estimates in Western Canada,” Remote Sens. Environ., vol. 88, pp. 271–282, 2003.
10. R. E. Kelly, A. T. C. Chang, L. Tsang, and J. L. Foster, “A prototype AMSR-E global snow area and snow depth algorithm,” IEEE Trans. Geosci. Remote Sens., vol. 41, no. 2, pp. 230–242, Feb. 2003.
11. N. Mognard and E. Josberger, “A passive microwave snow depth algorithm with a proxy for snow metamorphism,” Hydrol. Process., vol. 16, no. 8, pp. 1557–1568, 2002.
12. M. Tedesco, R. Reichle, A. Low, T. Markus, and J. L. Foster, “Assessment of climatologically and meteorologically driven dynamic approaches for snow depth retrieval from space-borne microwave brightness temperature,” IEEE Trans. Geosci. Remote Sens., accepted for publication.
13. A. T. C. Chang, J. L. Foster, D. K. Hall, A. Rango, and B. K. Hartline “Snow water equivalent estimation by microwave radiometry,” Cold Regions Sci. Technol., vol. 5, no. 3, pp. 259–267, 1982.
14. R. Kelly, “The AMSR-E snow depth algorithm: Description and initial results,” Jpn. J. Remote Sens., 2009, special issue on ADEOS.
15. J. L. Foster, D. K. Hall, J. B. Eyelander, G. A. Riggs, S. V. Nghiem, M. Tedesco, E. Kim, P. Montesano, R. E. J. Kelly, K. Casey, and B. Choudhury, “A blended global snow product using visible, passive microwave and scatterometer satellite data,” Int. J. Remote Sens., accepted for publication.
16. P. Ashcroft and F. Wentz, “Algorithm theoretical basis document for the AMSR level 2A algorithm,” Remote Sens. Syst., 2000, Revised 03 November.
17. M. C. Hansen, R. S. DeFries, J. R. G. Townshend, M. Carroll, C. Dimiceli, and R. A. Sohlberg, “Global percent tree cover at a spatial resolution of 500 meters: First results of the MODIS continuous fields algorithm,” Earth Interactions, 2003, 7 Paper no. 10, 15 pp.
18. R. D. Brown and R. O. Braaten “Spatial and temporal variability of Canadian monthly snow depths 1946-1995,” Atmosphere-Ocean, vol. 36, pp. 37–45, 1998.
19. A. Krenke, Former Soviet Union Hydrological Snow Surveys, 1966–1996. Boulder, CO: National Snow and Ice Data Center/World Data Center for Glaciology, 1998, edited by NSIDC, digital media, updated 2004.
20. G. E. Liston and M. Sturm, Global Seasonal Snow Classification System. Boulder, CO: National Snow and Ice Data Center, 1998, Digital media.
21. C. Derksen, W. Strapp, and A. Walker, “Passive microwave brightness temperature scaling over snow covered boreal forest and tundra,” presented at the IGARSS, 2006.
22. J. R. Wang and M. Tedesco, Identification of Atmospheric Influences on the Estimation of Snow Water Equivalent From AMSR-E Measurements, vol. 111, no. 2–3, pp. 398–408, 2007.
23. R. L. Armstrong, A. T. C. Chang, A. Rango, and E. G. Josberger “Snow depth and grain size relationships with relevance for passive microwave studies,” Ann. Glaciology, vol. 17, pp. 171–176, 1993.
24. M. Tedesco, “Microwave Remote Sensing of Snow,” Ph.D. dissertation, Institute of Applied Physics, Carrara, 2003, Italian National Research Council.
25. J. P. Navarre, “Modele undimensionnel d'evolution de la neige depose,” La meterorologie, pp. 109–120, 1974.
26. D. Marbouty “An experimental study of temperature-gradient metamorphism,” J. Glaciology, vol. 26, pp. 303–312, 1980.
27. R. Jordan, A One-Dimensional Temperature Model for a Snow Cover CRREL Special Rep. 91–16, 1991, 64 pp.
28. E. Brun, P. David, M. Sudul, and G. Brunot “A numerical model to simulate snowcover stratigraphy for operational avalanche forecasting,” J. Glaciology, vol. 38, pp. 13–22, 1992.
29. M. Sturm, J. Holmgren, and G. E. Liston “A seasonal snow cover classification system for local to global applications,” J. Climate, vol. 8, pp. 1261–1283, 1995.
30. Snow Data Assimilation System (SNODAS) Data Products at NSIDC. Boulder, CO: National Snow and Ice Data Center, 2004, National Operational Hydrologic Remote Sensing Center, Digital media.
31. M. Tedesco and J. Miller, “Combining active and passive microwave space-borne data for snow depth retrieval at large spatial scale,” Remote Sens. Environ., vol. 111, no. 2–3, 2009, Special Issue on Remote Sensing of Cryosphere, Guest Editor M. Tedesco.
32. C. Matzler, “Relation between grain-size and correlation length of snow,” J. Glaciology, vol. 48, no. 162, pp. 461–466, 2002.
33. J. T. Pulliainen, J. Grandell, and M. Hallikainen “HUT snow emission model and its applicability to snow water equivalent retrieval,” IEEE Trans. Geosci. Remote Sens., vol. 37, pp. 1378–1390, 1999.
34. C. Derksen, “The contribution of AMSR-E 18.7 and 10.7 GHz measurements to improved boreal forest snow water equivalent retrievals,” Remote Sens. Environ., vol. 112, pp. 2701–2710, 2008.
35. M. Tedesco, J. Pulliainen, P. Pampaloni, and M. Hallikainen, “Artificial neural network based techniques for the retrieval of swe and snow depth from SSM/I data,” Remote Sens. Environ., vol. 90, no. 1, pp. 76–85, 2004.
36. K. Hornik, M. Stincombe, and H. White “Multilayer feedforward networks are universal approximators,” Neural Netw., vol. II, pp. 359–366, 1989.