Monitoring land-surface snow conditions from ssm/i data using an artificial neural

IEEE Transactions on Geoscience and Remote Sensing

Volumn 35, Issue 4, 1997, Pages 801-809

  Sun, Network Classifier Changyi ^a  

^a UTAH STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; BACKPROPAGATION; GEOMORPHOLOGY; NEURAL NETWORKS; SNOW;

LAND SURFACE SNOW CONDITIONS; SPECIAL SENSOR MICROWAVE IMAGER (SSMI); WINNER TAKE ALL METHOD;

REMOTE SENSING;

EID: 0031188591     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/36.602522     Document Type: Article

References (29)

1. J. P. Hollinger DMSP Special Sensor Microwave/Imager Calibration/Validation Final Report Volume I. Washington DC: Naval Research Laboratory 1989.
2. C. M. U. Neale M. J. McFarland and K. Chang Land-surface-type classification using microwave brightness temperatures from the Special Sensor Microwave/Imager IEEE Trans. Geosci. Remote Sensing vol. 28 pp. 829-838 Sept. 1990.
3. M. J. McFarland and C. M. U. Neale Land parameter algorithms validation and calibration in DMSP Special Sensor Microwave/Imger Calibration/Validation Final Report Volume II 3. P. Hollinger Ed. Washington DC: Naval Research Laboratory 1991 sec. 9 pp. 1-108.
4. J. V. Fiore Jr. and N. C. Grody Classification of snow cover and precipitation using SSM/I measurements: case studies Int. J. Remote Sensing vol. 13 no. 17 pp. 3349-3361 1992.
5. D. K. Hall M. Sturm C. S. Benson A. T. C. Chang J. L. Foster H. Garbeil and E. Chacho Passive microwave remote and in-situ measurements of arctic and subarctic snow cover in Alaska in Remote Sens. Environ. vol. 38 no. 3 pp. 161-172 1991.
6. D. H. Staelin Progress in passive microwave remote sensing: Nonlinear retrieval techniques in Remote Sensing of Atmospheres and Oceans A. Deepak Ed. San Diego CA: Academic 1980 pp. 259-274.
7. S. R. Rotman A. D. Fisher and D. H. Staelin Analysis of multipleangle microwave observations of snow and ice using cluster-analysis techniques J. Glaciology vol. 27 no. 95 pp. 89-97 1981.
8. J. Key J. A. Maslanik and A. J. Schweiger Classification of merged AVHRR and SMMR arctic data with neural networks Photogramm. Eng. Remote Sens. vol. 55 no. 9 pp. 1331-1338 1989.
9. A. T. C. Chang and L. Tsang A neural network approach to inversion of snow water equivalent from passive microwave measurements Nordic Hydrol. vol. 23 no. 3 pp. 173-182 1992.
10. C. Sun H. D. Cheng J. J. McDonnell and C. M. U. Neale Identification of mountain snow cover using SSM/I and artificial neural network in Proc. 1995 Int. Conf. Acoustics Speech Signal Processing 1995 pp. 3451-3454.
11. J. M. Zurada Introduction to Artificial Neural Systems. St. Paul MN: West 1992 ch. 4 pp. 163-250.
12. C. Sun and H. D. Cheng The use of class means in error backpropagation training for species identification of iris data in Proc. Joint Conf. Information Sciences 1995 pp. 556-559.
13. G. G. Gutman Vegetation indices form AVHRR: an update and future prospects Remote Sens. Environ. vol. 35 nos. 2 & 3 pp. 121-136 1991.
14. K. B. Kidwell Global Vegetation Index User's Guide. Washington DC: NOAA Natioanl Geophysical Data Center 1994.
15. A. M. Hittelman L. W. Row J. J. Kineman R. E. Habrmann and D. A. Hastings Global View CD-ROM's and User's Manual (1994 Edition). Boulder CO: NOAA National Geophysical Data Center 1994.
16. SCS Snow Survey and Water Products Reference. Portland OR: SCS West National Technical Center 1988.
17. NOAA Surface Land Daily Cooperative Summary of the Day TD-3200. Asheville NC: NOAA National Environmental Satellite Data and Information Service 1989.
18. SAS Institute Inc. SAS/STAT User's Guide Release 6.03 Edition. Cary NC: SAS Institute Inc. 1988.
19. W. S. Sarle Cubic clustering criterion Tech. Rep. A-108. Cary NC: SAS Inc. 1983.
20. B. J. Choudhury Passive microwave remote sensing contribution to hydrological variables Surv. Geophys. vol. 12 pp. 63-84 1991.
21. F. T. Ulaby R. K. Moore and A. K. Fung Microwave Remote Sensing: Active and Passive Volume III: From Theory to Applications. Dedham MA: Artech House 1986 ch. 19 pp. 1522-1646.
22. J. L. Foster D. K. Hall and A. T. C. Chang An overview of passive microwave snow research and results Rev. Geophys. Space Phys. vol. 22 no. 2 pp. 195-208 1984.
23. SAS Institute Inc. SAS Procedures Guide Release 6.03 Edition. Gary NC: SAS Institute Inc. 1988.
24. D. E. Rumelhart G. E. Hinton and R. J. Williams Learning internal representations by error propagation in Parallel Distributed Processing: Explorations in the Microstructure of Cognition Volume I Foundations J. A. Feldman P. J. Hayes and D. E. Rumelhart Eds. Cambridge MA: MIT Press 1986. ch. 8 pp. 318-362.
25. L. Prechelt PROBEN I-A set of neural network benchmark problems and benchmarking rules Tech. Rep. 21/94 Karlsruhe University Karlsruhe Germany 1994.
26. T. Masters Practical Neural Network Recipes in C++. San Diego CA: Academic 1993 ch. 10 pp. 173-186.
27. N. C. Grody and A. Basist SSM/I snow cover maps of the U.S. NOAA National Operational Hydrologie Remote Sensing Center 1995. Available from anonymous FTP: ftp.nohrsc.nws.gov Directory: pub/bbs/ssmi File: ssmi.txt.
28. J. Hollinger R. Lo G. Poe R. Savage and J. Peirce Spacial Sensor Microwave/Imager User's Guide. Washington DC: Naval Research Laboratory 1987 ch. 4 pp. 66-112.
29. C. Sun C. M. U. Neale and J. J. McDonnell The relationship between snow wetness and air temperature and its use in the development of an SSM/I snow wetness algorithm in Proc. AGU 15th Annu. Hydrology Days 1995 pp. 271-280.