Remote Sensing on Agricultural Non-point Source Pollution Research

doi:10.11924/j.issn.1000-6850.2014-2636

Abstract

Abstract: The remote sensing has been applied in the research on agricultural non-point source pollution with the unique advantages of large scale, high efficiency, strong repeatability, economical and so on. Remote sensing combined with traditional research method has practical application. This article introduces remote sensing application and research in agricultural non-point source pollution monitoring, estimation, assessment, forecast and prediction. Remote sensing applied in agricultural non-point source pollution monitoring mainly has three aspects, investigating agricultural non-point source pollution, monitoring farmland water pollution and soil pollution. These data such as hydrology, soil, terrain, weather, and agricultural production activity can be obtained by remote sensing. These five kinds of data are very important data of agricultural non-point source pollution. Monitoring and evaluating water environment is on the basis of the spectral characteristics of the water body and its pollution. Measuring surface spectral of farmland by remote sensing can understand the sources, properties and degree of farmland soil pollution. Remote sensing combined with model and GIS can estimate the agricultural non-point source pollution quantificationally and evaluate the complex pattern within agricultural non-point source pollution. By the integrated application of “3S” technology, the models and various management measures can be combined to forecast non-point source pollution and to provide the base for governing agricultural non-point source pollution.

Fu Biyu,Ma Youhua,Wu Liang,Wang Xuelei,Wang Qiang,Zhang Xiaoyu,Zhang Weiwei and Yin Hanxu. Remote Sensing on Agricultural Non-point Source Pollution Research[J]. Chinese Agricultural Science Bulletin, 2015, 31(5): 182-188.

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