A recurrent neural network classifier for improved retrievals of areal extent of snow cover

IEEE Transactions on Geoscience and Remote Sensing

Volumn 39, Issue 10, 2001, Pages 2135-2147

  Simpson, J J ^a   McIntire, T J ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Areal extent of snow; Neural network; Snow hydrology

Indexed keywords

ECOSYSTEMS; GEOSTATIONARY SATELLITES; HYDROLOGY; SNOW; SNOW MELTING SYSTEMS;

SNOW HYDROLOGY;

RECURRENT NEURAL NETWORKS;

EID: 0035481897     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/36.957276     Document Type: Article

References (45)

1. The SCS snow survey water supply forecasting program: Current operations and future directions
2. Intercomparison of models of Snowmelt Runoff
3. Simulation of precipitation in the Gunnison River Basin using an orographic-precipitation model
4. Climate fluctuations and the timing of west coast streamflow
5. Large-scale atmospheric forcing of recent trends toward early snowmelt runoff in California
6. Evolution of trends in runoff in the western United States, managing water resources during global change
7. The development and testing of a water balance model for climate impact assessment: Modeling the Sacramento Basin
8. Possible climate change and its impact on water supply in California
9. Potential effects of climate change on streamflow, eastern and western slopes of the Sierra Nevada, California and Nevada
10. Hemisphere snow cover from satellites
11. AVHRR imagery: An intercomparison of methods
12. Assessment of thin cirrus and low clouds over snow by means of maximum likelihood method
13. Dramatic contrast between low cloud and snow cover in the daytime 3.7 μm imagery
14. Detection of cloud in Antarctica from infrared multi-spectral data of AVHRR
15. Improved estimates of the areal extent of snow cover from AVHRR data
16. Noise characteristics of AVHRR infrared channels
17. Cloud reflectance variations in channel 3
18. Cloud and surface textural features in polar imagery
19. A pattern recognition technique for distinguishing surface and cloud types in polar regions
20. Cloud classification from satellite data using a fuzzy logic set algorithm: A polar example
21. An introduction to the GOES I-M imager and sounder instruments and the GVAR retransmission format
22. Data extraction and calibration of TIROS-N/NOAA radiometers
23. Reduction of noise in AVHRR channel 3 data with minimum distortion
24. An improved fuzzy logic segmentation of sea ice, clouds and ocean in remotely sensed arctic imagery
25. Image masking using polygon fill and morphological operations
26. An introduction to computing with neural nets
27. Application of neural networks to AVHRR cloud segmentation
28. Neural network classification: A Bayesian interpretation
29. Progress in supervised neural networks
30. Learning internal representations by error propagation
31. Improved cloud detection in AVHRR daytime and nighttime scenes over the ocean
32. Methods for the digital analysis of AVHRR sea ice images
33. Serial order: A parallel, distributed processing approach
34. Arctic sea ice, cloud, water and lead classification using neural networks and 1.6 μm data
35. Spectral mixing models: A new analysis of rock and soil types at the Viking Lander 1 site
36. A procedure for the detection and removal of cloud shadow from AVHRR data over land
37. Cloud shadow detection under arbitrary viewing and illumination conditions
38. SNOTEL into the year 2000
39. The tiling and general research imaging system (TIGRIS)
40. Improved cloud detection for daytime AVHRR scenes overland