卜兆宏, 卜宇行, 陈炳贵, 乐兴华, 陈葵, 刘梅影. 用定量遥感方法监测UNDP试区小流域水土流失研究[J]. 水科学进展, 1999, 10(1): 31-36.
引用本文: 卜兆宏, 卜宇行, 陈炳贵, 乐兴华, 陈葵, 刘梅影. 用定量遥感方法监测UNDP试区小流域水土流失研究[J]. 水科学进展, 1999, 10(1): 31-36.
Bu Zhaohong, Bu Yuhang, Cheng Binggui, Le Xinghua, Chen Kui, Liu Meiying. A Study on Monitoring Soil Erosion Loss in Small Valley of UNDP Experiment Region by Using Quantitative Remote Sensing Method[J]. Advances in Water Science, 1999, 10(1): 31-36.
Citation: Bu Zhaohong, Bu Yuhang, Cheng Binggui, Le Xinghua, Chen Kui, Liu Meiying. A Study on Monitoring Soil Erosion Loss in Small Valley of UNDP Experiment Region by Using Quantitative Remote Sensing Method[J]. Advances in Water Science, 1999, 10(1): 31-36.

用定量遥感方法监测UNDP试区小流域水土流失研究

A Study on Monitoring Soil Erosion Loss in Small Valley of UNDP Experiment Region by Using Quantitative Remote Sensing Method

  • 摘要: 简要介绍了水土流失定量遥感方法的组成和基本原理,重点叙述了它在小流域治理试区的应用作业和应用结果,并讨论了它的适应性、准确性、实用性和应用前景等。该法的监测模型可与美国近年刊出的RUSLE相媲美,且其因子算式算法系由我国实测资料所建,故更适合我国水土流失实际的应用效果,尤其适用于遥感和GIS数据的微机处理。其应用结果,不仅有比常规调查法和定性遥感法更准确实用的流失总量、各级面积的统计数据和流失现状图,而且还有流失治理规划的防治强度预报图。在UNDP试区应用表明,该法所建立的系统,也可对小流域(大于7km2)每年实施监测,以获水土流失变化动态的准确信息。

     

    Abstract: A quantitative method of remote sensing for monitoring soil losses introduced briefly and its operations and results of application to small valley of UNDP experimental region is described in this paper. Although form of the model for monitoring soil erosion losses in the method is the same as the RUSLE, the formula and algorithms for model factors are generated from loss data observed in our country. Therefore, it is more applicable to loss regions in our country, and suits personal computer to process data of GIS and remote sensing. The results of its application are more accuracy and useful than those of existing methods for the conventional survey and qualitative remote sensing. The monitoring results of UNDP experimental region show that the quantitative remote sensing method can not only use for big valley (e.g. county or province region), but also use for small valley (≥ 7km2).

     

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