High-temporal-spatial-resolution surface water body extraction method based on cooperation of multispectrum and SAR image

Abstract

The invention discloses a high temporal-spatial resolution surface water body extraction method cooperating with multispectral and SAR images, and the method comprises the steps: carrying out water recognition of a preprocessed Sentinel-2 MSI image through a water index, and calculating the ponding frequency at each pixel position in a year; extracting all pixels of which the water accumulation frequency is greater than 0, and combining with a JRC global water body data set to obtain a maximum water body boundary which does not contain shadow noise in a research area year; and extracting the monthly-scale water body in the research area by using an Edge Otsu algorithm by using a Sentin-1 image in the determined maximum water body boundary range. A variable water body threshold value capable of being automatically deduced is established in different surface environments, and the purposes that the water body boundary height is accurate, the contingency and randomness of manually determining the threshold value can be effectively avoided by automatically calculating the threshold value, and continuous monthly scale water body fine extraction is achieved are achieved.

Description

technical field [0001] The invention relates to the field of remote sensing extraction of surface water bodies, in particular to a method for finely extracting surface water bodies with high temporal and spatial resolution in cooperation with multispectral and SAR images. Background technique [0002] Using remote sensing satellites to quickly and accurately obtain the temporal and spatial distribution of surface water bodies has become an important means and basic premise for the overall management of surface water resources, water ecology, water environment, and water disasters. In recent years, the world is facing more and more serious water resource problems. As an important indicator of water bodies affected by climate change and human activities, water bodies can be accurately extracted in real time, and water body dynamic changes and evolution in long-term series can be analyzed. The trend is beneficial to reveal the changing law of the global water environment, and i...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to address the shortcomings of traditional water body extraction algorithms and existing time-series water body data, and provide a method for finely extracting surface water bodies with high temporal and spatial resolution in conjunction with multispectral and SAR images, which is suitable for monthly-scale surface water body extraction and extraction in any area. Interannual seasonal and permanent water extraction

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