A monitoring method for kelp culture area based on integrated remote sensing images and longline information

Abstract

The invention discloses a luminaria culture area monitoring method integrating a remote sensing image and longline information. The method comprises the steps that a high-resolution remote sensing image of a target area is acquired, and the acquired remote sensing image is preprocessed; the preprocessed remote sensing image is classified to identify a luminaria culture area and acquire the longline culture information of the luminaria culture area, wherein the information comprises the length and width of each longline culture area; the actual longline spacing information of the luminaria culture area is acquired; the number of longlines in each longline culture area is calculated, and is combined with the longline length to acquire the total length of luminaria culture longlines in the area; the total length of the longlines in the luminaria culture area is divided by 1000 meters to acquire the actual luminaria culture area. The method provided by the invention has the advantages of accurate result, convenient operation, economy and high efficiency. The new method is provided for real-time acquisition and wide-range dynamic monitoring of the luminaria culture area, and is suitable for relevant management departments, and enterprises and institutions.

Description

technical field [0001] The invention relates to the field of marine remote sensing information, in particular to a method for monitoring kelp cultivation area by integrating remote sensing images and longline information. Background technique [0002] my country's seaweed farming industry started in the 1950s. After more than 60 years of development, my country's macroalgae production has become the world's largest, accounting for more than half of the world's total production (FAO 2016). Among them, the production of artificially cultivated algae accounts for about 98% of the total production of algae (China Fishery Statistical Yearbook). With the support of government policies, market demand, changes in climate and environment, and changes in the breeding structure, the cultivation area and output of macroalgae have undergone significant changes. Among them, the cultivation area has increased by more than 7 times, and the production has also increased by nearly 9. Times (...

AI Technical Summary

Problems solved by technology

At present, the traditional method of obtaining kelp cultivation area and output is that each household is reported step by step by village, township, town, etc., and is summarized to counties (districts), cities, provinces, etc. The disadvantages of this method include: 1) time-consuming Generally, the relevant data information can only be obtained after a few months of harvest; 2) The unreliability of the data will be affected by human subjective factors in the process of reporting step by step, and there are different statistical methods in different regions, making it difficult to obtain accurate, Unified standard data; 3) low technical content, need to spend more manpower, material and financial resources

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