Coastal zone regional function long time sequence identification method based on multi-source big data

Abstract

The invention relates to a coastal zone regional function long time sequence identification method based on multi-source big data, and the method comprises the following steps: firstly, constructing coastal zone regional function land classification based on human production, life and ecology, and carrying out the initial classification of a long time sequence image through employing a random forest algorithm based on a multi-source big data fusion platform; secondly, spatial separation of an impervious surface and a water body is achieved through a scanning line seed filling algorithm and geometric feature analysis, and functional types related to cultivated land transformation, offshore cultivation land, a salt pan and reclamation are corrected based on a temporal and spatial change logic rule; and finally, according to a classification result, change ranges and time stages of grain production, offshore culture and reclamation are extracted. According to the invention, the long-time-sequence identification precision of the regional functions of the coastal zone is improved, and the method is particularly suitable for regional function land transformation and change detection of reclamation construction caused by long-time-sequence, large-range and high-density offshore human activities, and can be directly applied to auxiliary decision making of spatial planning and regional policies of the coastal zone.

Description

technical field [0001] The present invention relates to a long-sequence long-sequence identification method for long-sequence coastal zone regional functions based on multi-source big data, and in particular to a long-sequence identification method based on the classification of remote sensing big data for the conversion of regional function land use and reclamation construction caused by near-coastal human activities method. Background technique [0002] The coastal area is a highly concentrated and rapidly growing area of ​​population and economy, and it is also an area where the human-land relationship is the most intense. It is highlighted by significant land use changes in the coastal area and reclamation activities in offshore areas. Driven by the increasing demand for seafood and the economic benefits of coastal economic development, whether it is the land area of ​​the coastal zone or the offshore waters, in addition to traditional seawater / mixed aquaculture, salt pa...

AI Technical Summary

Problems solved by technology

The outstanding performances are as follows: First, the functional classification system of the coastal zone still focuses on the land cover / land use system, lacking the overall consideration of land and sea, especially the lack of attention to the main functional changes that affect the sustainable development of the coastal zone; When solving the classification mapping and change detection of complex areas such as coastal zones, it is necessary to further leverage the advantages of multi-source data fusion of the big data platform; the third is long-term, large-scale, high-density coastal zone regional function identification and change monitoring. The research is relatively weak. Few of these existing studies can take into account the reasonable change logic between the time series and spatial neighborhoods of the unique geographical function types of the coastal zone, which seriously restricts the accuracy of its identification and change detection.

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