Monitoring Soil Erosion in Agricultural Fields by Ers-1 Sar

R. Solberg
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引用次数: 13

Abstract

Under the North Sea Agreement, Norway is obliged to reduce the discharge of nutrient salts from agricultural fields with 50% by 1995. In order to determine whether the policy have the desired effect, optical remote sensing will probably be used for monitoring the agricultural areas. However, the weather conditions in Norway in the late autumn makes it difficult to obtain cloud-free images, and is thus a limiting factor. In the paper an experiment is described that was carried out to determine whether S A R imagery can be used to detect late tillage in the autumn. The results of classifying images which have been speckle reduced, show that ploughed and stubble fields can be discriminated with a high degree of confidence when the soil moisture level is high. The best result is obtained using a field by field classification method. The experiments have also shown that radiometric and geometric correction of the image data using a terrain model is necessary to obtain the required accuracy.
利用Ers-1 Sar监测农田土壤侵蚀
根据《北海协议》,挪威有义务到1995年将农田的营养盐排放量减少50%。为了确定政策是否有预期的效果,可能会使用光学遥感对农区进行监测。然而,挪威深秋的天气条件使得很难获得无云图像,因此是一个限制因素。本文描述了一项实验,以确定是否可以使用rs图像来检测秋季晚耕。对消斑图像进行分类的结果表明,在土壤湿度较高的情况下,耕地和茬地的分类具有较高的置信度。采用逐场分类的方法,得到了最佳的分类结果。实验还表明,使用地形模型对图像数据进行辐射和几何校正是获得所需精度的必要条件。
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