Advances in Earth Science ›› 2003, Vol. 18 ›› Issue (1): 109-115. doi: 10.11867/j.issn.1001-8166.2003.01.0109

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Li Yan 1,2,  Peng Shaolin 3,  Liao Qifang 2, Liao Shengdong 2   

  1. 1.Computer Science Department, South China Normal University, Guangzhou 510631,China;2.Guangzhou Institute of Geography,Guangzhou 510070,China;3.Guangdong Academy of Sciences, Guangzhou 510070,China
  • Received:2002-04-30 Revised:2002-08-27 Online:2003-02-10 Published:2003-02-01

Li Yan, Peng Shaolin, Liao Qifang, Liao Shengdong. RICE YIELD ESTIMATION IN REGIONAL SCALE BY USING RADARSAT SNB SAR  IMAGES[J]. Advances in Earth Science, 2003, 18(1): 109-115.

Radar remote sensing is the most appropriate for agricultural monitoring and crops yield estimating as the inherent prepotency and its capability of all-weather and day/night imaging. Especially, cultivated areas are most often cloudy and rainy in South China. For this reason, RADARSAT SNB SAR is the dominant data source in tropic and sub-tropical regions and also provided re-visit schedules suitable for monitoring in a regional scale. In the year 2000, it has been successfully done the rice yield estimation for early rice and late rice in whole province of Guangdong, China. Through setting up the rice cropping calendar, a solution of rice information extracting difficulty was found for reducing the influence of undulation landform, low level of intensive agriculture, irregular distribution of paddy and different rice cropping system. A rice yield estimating model with time series RADARSAT SNB SAR data was established for the region. And a yield mapping was produced with the classified result of the model. The final result shown, a high accuracy result was given in the plain but the result had to be improved at pre-processing and estimating models for the valleys of the hills and the low mountains. Nevertheless, the whole procedure was in the high efficient and quite economic and ease for putting in use as an operational system.

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