TY - JOUR
T1 - Multi-spectral classification of snow using NOAA AVHRR imagery
AU - Harrison, Andrew R.
AU - Lucas, Richard M.
N1 - Funding Information:
This work was carried out as part of a commissioned research project entitled 'Satellite Remote Sensing in Hydrology and Water Management' funded by the U.K. Department of the Environment, and managed in the University of Bristol Remote Sensing Unit by Dr E. C. Barrett and Dr R. W. Herschy, in the British National Space Centre by Dr C. Legg, and in the Department of the Environment by Mr J. Troughton. The authors wish to acknowledge the assistance given by Dr M. J. Beaumont and Mr T. S. Richards in the Remote Sensing Unit during the preparation of this work. This paper is published with the permission of the Department of the Environment. However, the views expressed are those of the authors and do not necessarily reflect those of the Department of the Environment.
PY - 1989
Y1 - 1989
N2 - Problems of accurate discrimination between snow and cloud, together with the detection of the snow pack boundary, have handicapped the use of satellite data in operational snow-cover mapping systems. A technique, involving an unsupervised clustering procedure, is described which allows the removal of cloud areas using NOAA-9 Advanced Very High Resolution Radiometer (AVHRR) channel-1, channel-3 and channel-4 data in conditions of recent snow lie and a difference channel (channel-2 —channel-1 with channel-3 and channel-4) during periods of advanced snow melt. Accurate delineation of snow extent is provided by the techniques if these specified snow conditions are taken into account. A method for the identification of areas of marginal snow melt is also presented, based on comparisons with Landsat Thematic Mapper data. The classifications also enable the determination of snow areas influenced by cloud shadows and conifer forest in addition to separating areas of differing snow depth and percentage cover.
AB - Problems of accurate discrimination between snow and cloud, together with the detection of the snow pack boundary, have handicapped the use of satellite data in operational snow-cover mapping systems. A technique, involving an unsupervised clustering procedure, is described which allows the removal of cloud areas using NOAA-9 Advanced Very High Resolution Radiometer (AVHRR) channel-1, channel-3 and channel-4 data in conditions of recent snow lie and a difference channel (channel-2 —channel-1 with channel-3 and channel-4) during periods of advanced snow melt. Accurate delineation of snow extent is provided by the techniques if these specified snow conditions are taken into account. A method for the identification of areas of marginal snow melt is also presented, based on comparisons with Landsat Thematic Mapper data. The classifications also enable the determination of snow areas influenced by cloud shadows and conifer forest in addition to separating areas of differing snow depth and percentage cover.
UR - http://www.scopus.com/inward/record.url?scp=0024476050&partnerID=8YFLogxK
U2 - 10.1080/01431168908903930
DO - 10.1080/01431168908903930
M3 - Article
SN - 0143-1161
VL - 10
SP - 907
EP - 916
JO - International Journal of Remote Sensing
JF - International Journal of Remote Sensing
IS - 4-5
ER -