Loess Plateau Gully Area Extraction via Remote Sensing
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Solution Overview
Problem
Current methods for determining the area of secondary gullies in the loess plateau are inaccurate and labor-intensive, especially in large research regions.
Innovation Solution
A method using remote sensing images and digital elevation models to extract and calculate gully areas, involving the determination of primary and secondary gully areas, calculation of a reference ratio, and clustering to refine the gully area extraction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual interpretation is used to extract secondary gully area, then accuracy can be maintained for small regions, but workload becomes huge and accuracy cannot be guaranteed for large regions
Solution Approach 1:
The method segments the gully area extraction into two parts: primary gully area extraction using automated remote sensing methods, and secondary gully area calculation using ratio relationships derived from sample regions. This segmentation allows automated processing of large regions while maintaining accuracy through the sample-based ratio approach.
Solution Approach 2:
The method introduces sample regions as intermediaries between the research region and the actual gully features. By establishing ratio relationships (secondary gully area / primary gully area) from sample regions, the method can infer secondary gully areas in the research region without direct manual interpretation of each individual gully.
2Productivity
If automated methods are used to extract gully area in large regions, then productivity increases, but measurement precision deteriorates due to lack of manual verification
Solution Approach 1:
The method performs preliminary actions by first extracting primary gully areas and calculating ratio relationships in sample regions before applying these results to the larger research region. This preliminary processing establishes the foundation for accurate automated extraction in the target region.
Solution Approach 2:
The method uses sample regions as feedback mechanisms to validate and calibrate the automated extraction method. By comparing automated primary gully area extraction with known secondary gully area data from sample regions, the method refines the ratio relationships used for subsequent automated extraction in the research region.
3Area of stationary object
If the primary gully area is used as the census object, then the census covers larger areas, but the secondary gully area (with foot line as trench edge) cannot be accurately extracted without manual interpretation
Solution Approach 1:
The method changes the parameter relationship from direct area measurement to ratio-based calculation. By establishing the ratio relationship (secondary gully area / primary gully area) from sample regions, the method can accurately determine secondary gully areas without directly measuring them, enabling both large coverage and high precision.
Data Source
AI summary
This application discloses a method for extracting and calculating the gully area of loess plateau, which includes: obtaining remote sensing images of sample regions by a remote sensing satellite, analyzing the remote sensing images to obtain a digital elevation model, determine the primary gully area and secondary gully area of the sample region, determining a reference ratio, obtaining the primary gully area and the research region area of the census region, determining the secondary gully area of the census region, storing the secondary gully area of the census region in the storage unit, determining the secondary gully area of the research region. This method can accurately extract a large scale gully area of the loess plateau without a lot of manual labor.