A Method of Wetland Information Extraction and Ecological Sensitivity Evaluation Based on Microwave Remote Sensing and Optical Remote Sensing Technology

Abstract

The invention discloses a method for wetland information extraction and ecological sensitivity evaluation based on microwave remote sensing and optical remote sensing technology, which overcomes the existing disadvantages of wetland information extraction based on optical remote sensing data, and develops a method according to the characteristics of optical remote sensing and microwave remote sensing data. Extract information from different types of wetlands such as marsh wetlands, forest wetlands, and water areas, identify information such as wetland distribution, wetland soil moisture, and wetland water systems, establish wetland ecological sensitivity evaluation models, and carry out roadside buffer wetland ecological sensitivity evaluations to improve The extraction accuracy is improved, the extraction method is simpler, more suitable for popularization and utilization, and is very suitable for wetland information extraction.

Description

technical field [0001] The invention belongs to the technical field of remote sensing, and relates to a method for extracting and evaluating wetland ecosystem information in a highway buffer zone, in particular to a method for extracting wetland information and evaluating ecological sensitivity based on microwave remote sensing and optical remote sensing technologies. Background technique [0002] With the continuous extension and development of the road network, road construction has inevitably affected the wetland ecology. If the wetland is directly occupied, the vegetation will be destroyed, and an interface will be formed after completion, which will block the flow of matter, energy and species. But wetlands are by far the least descriptive category of landscape. Although traditional field investigation methods can be used to detect the distribution of wetlands relatively accurately, wetlands are usually located on muddy and uneven surfaces, and are mostly distributed i...

AI Technical Summary

Problems solved by technology

The accuracy of wetland remote sensing extraction is still relatively low among all kinds of wetlands. This is mainly because swampy wetlands are generally not like rivers and lakes. Almost all of its pixels are mixed pixels, and it is not easy to extract from a more complex surface environment. distinguished from

The traditional wetland information extraction method is based on manual visual interpretation of optical images, which requires high manpower, financial resources and time costs, and the accuracy is not high

In addition, optical remote sensing images cannot extract "invisible" wetland types such as forest wetlands, so the accuracy is even more difficult to guarantee

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