Method for estimating annual sea ice thickness by using optical remote sensing images

Abstract

The invention discloses a method for estimating the annual sea ice thickness by using optical remote sensing images, which can quickly and accurately estimate the annual sea ice thickness in a wide range and obtain the sea ice thickness distribution map. The method for estimating the annual sea ice thickness by using the optical remote sensing images includes the following steps: (1) collecting the required target sea area optical remote sensing data and ground calibration data; (2) calibrating parameters in an annual sea ice thickness estimation model; (3) preprocessing the optical remote sensing images to obtain a required reflectivity image; (4) extracting a sea ice range and obtaining a sea ice mask; and (5) calculating the sea ice thickness by using the calibrated annual sea ice thickness estimation model according to the sea ice mask, and obtaining the sea ice thickness distribution map. The method for estimating the annual sea ice thickness by using the optical remote sensing images can greatly improve the estimation efficiency of the annual sea ice, and realize the large-scale, fast and accurate acquisition of the sea ice thickness distribution map in the target sea area.

Description

technical field [0001] The invention relates to the field of remote sensing, in particular to a method for estimating annual sea ice thickness from optical remote sensing images. Background technique [0002] High-latitude coastal waters are areas where annual sea ice frequently occurs (such as the Bohai Sea and the Baltic Sea). Although the thickness of annual sea ice is mostly a few centimeters to tens of centimeters, the annual winter sea ice poses a threat to maritime traffic safety, marine farming, and offshore oil platforms. serious harm. On the other hand, the sea ice desalination research being carried out by Chinese researchers can convert sea ice (brackish water) into fresh water through desalination treatment, providing a new fresh water resource for socioeconomic development in coastal areas. Therefore, regardless of whether it is considered from the perspective of disasters or from the perspective of resources to consider turning sea ice into wealth, timely gra...

AI Technical Summary

Problems solved by technology

[0004] However, these models using optical, thermal infrared and microwave remote sensing images as data sources for estimating the thickness of sea ice in the Bohai Sea are slightly insufficient in quantification, biased and empirical.

The parameters in many models need to be determined empirically, which does not have wide applicability; or the parameters in the model change with time and space, and are not stable; or the parameters in the model are determined to be inoperable, making the model not practical enough

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