The water extracting has the characteristics of time point effects. In view of the objective status of seasonal variation of land water, a method of geospatial correction for water extracting products is proposed. Firstly, the water land cover information is extracted based on high time resolution remote sensing image to ensure that the timeliness meets the standard time point. Then the result is used as a prior knowledge, and the refined water land cover information is extracted based on fine grid DEM data by using region growing algorithm of water seeds, whose accuracy is optimized to the high spatial resolution level and can meet the requirement. On such a basis, it achieves geospatial correction of water extracting products. With the first national geographic conditions census as an example, the Landsat 8 images of 15 m spatial resolution were obtained to meet the standard time point of the study area. The water land cover distribution was extracted based on the NDWI index, and the 2 m grid DEM data were used to optimize the precision. The results show that the geographical spatial range of the study area was corrected by 17.97% compared with the image source’s scanning time, and geographical spatial range was optimized by 1.56% caused by the spatial resolution conversion. The research shows that this method can provide a reference for the geospatial correction in the water extraction based on remote sensing technology, and has certain practical application value in the case that the images do not meet the requirements of the standard time point.
程滔,李广泳,毕凯. 顾及时点特征的水体提取成果空间修正方法[J]. 国土资源遥感, 2019, 31(2): 96-101.
Tao CHENG,Guangyong LI,Kai BI. Research on the geospatial correction method of water extracting products considering the characteristics of time points. Remote Sensing for Land & Resources, 2019, 31(2): 96-101.
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