Mapping of snow cover by ERS-1 SAR
- 30 December 2002
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 1273-1275 vol.3
- https://doi.org/10.1109/igarss.1993.322100
Abstract
In the snow cover mapping experiment described, an experiment has been carried out to determine whether wet snow in areas with well-known backscatter characteristics could be detected. Two sets of agricultural areas of three ground cover types were selected, one in a low elevation area (snow free), and the other in a higher elevation area (snow covered). The two sets were covered by an ERS-1 pass in November 1991 when the satellite was in a three day repeat cycle. The areas were covered at a time when the temperature had risen rapidly and was above 0/spl deg/C at both places. Field work was performed in the two test areas in order to determine the exact vegetation cover and tillage at the acquisition time. In addition, temperature and precipitation data were acquired for the time period of interest. Areas of same ground type covered with wet snow and without snow were compared statistically. A significant reduction in the backscatter for snow covered areas was found for the ploughed areas (5.5 dB), while the other agricultural types gave little difference. This indicates that wet snow cover could be detected when the surface is rough, but not when the surface is smooth. An additional experiment was performed to evaluate the performance of a statistical classifier for discrimination between snow-covered and snow-free areas. An accuracy of about 90% correct classification was achieved for snow-covered areas when the speckle noise was reduced by various filters.Keywords
This publication has 7 references indexed in Scilit:
- Temporal Change Detection in Ers-1 Sar ImagesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- Monitoring Soil Erosion in Agricultural Fields by Ers-1 SarPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- Maximum likelihood discriminant analysis on the plane using a Markovian model of spatial contextPattern Recognition, 1985
- Towards the Definition of Optimum Sensor Specifications for Microwave Remote Sensing of SnowIEEE Transactions on Geoscience and Remote Sensing, 1982
- Refined filtering of image noise using local statisticsComputer Graphics and Image Processing, 1981
- Digital Image Enhancement and Noise Filtering by Use of Local StatisticsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1980
- The active and passive microwave response to snow parameters: 1. WetnessJournal of Geophysical Research: Oceans, 1980