Applied Research |
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THE APPLICATION OF MULTI-TEMPORAL RADARSAT DATA TO PADDY FIELD CLASSIFICATION IN ZHAOQING AREA, GUANGDONG PROVINCE, CHINA |
Liu Hao1, Shao Yuan1, Wang Cuizheng1, Brian Brisco2, Gordon Staples3 |
1. Institute of Remote Sensing Application, Chinese Academy of Sciences, Beijing, 100101;
2. Canada Center for Remote Sensing, 588 Booth Street, Ottawa, Ontario, Canada K1A0Y7;
3. Radarsat International, 275 Slater Street,Ontario, Canada K1PSH9 |
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Abstract It gets a good result, that the multi-temporal Radarsat data are applied to paddy Field Classification in Zhaoqing area, Guangdong province, China. The discrimination of paddy field can reach a high accuracy, and the rotation process in paddy field can also be inferred easily. This paper demonstrate the latest development in this experimental research. Emphasis has been placed on the potential of neural network classifier's application to SARimage processing and the optimum Radarsat data selection for paddy monitoring in the southern China.
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Keywords
InSAR
Flat-earth phase
Orbit data
Interferometric spectrum
Height elevation error
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Issue Date: 02 August 2011
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