Watershed multi-scale landscape pattern and water quality index relationship research method

Abstract

The invention discloses a remote sensing image data-based watershed multi-scale landscape pattern and water quality index relationship research method. The method includes the following steps that: 1)multi-spectral remote sensing images and high-resolution remote sensing images are utilized, and image spectra features are fused, and watershed landscape source and sink pattern information is extracted; 2) on the basis of digital elevation model data (DEM) and land use classification data, an improved landscape space load comparison index is calculated after minimum hydrological response unitsare obtained through division; 3) the Spearman correlation coefficient of an landscape pattern index and a water quality index is calculated, a comprehensive and low-redundancy landscape pattern indexsystem and water quality index system are constructed; and 4) a relation between the landscape pattern index and the water quality index is researched under a plurality of spatial and temporal scalesthrough using a multivariate analysis and canonical correspondence analysis method. According to the remote sensing image data-based watershed multi-scale landscape pattern and water quality index relationship research method of the invention, the landscape index is improved, the influence of the spatial and temporal scales on a relationship between a landscape pattern and non-point source pollution is considered in subsequent analysis, and therefore, an analysis result has a better ecological effect, and a problem that the optimal research scale of a traditional analysis method is uncertainin researching the relationship between the landscape pattern and non-point source pollution can be solved.

Description

technical field [0001] The invention relates to the technical fields of remote sensing technology and landscape ecology, in particular to a method for researching the relationship between multi-scale landscape patterns and water quality indicators in a watershed based on remote sensing technology. Background technique [0002] The spatial heterogeneity of the watershed determines the complexity of the landscape structure. Combining the complementary advantages of "map-spectrum" feature information can maximize the accuracy and intelligence of key area extraction for the source-sink pattern of the non-point source pollution landscape in the watershed. Combined with the ecological process of non-point source pollution, non-point source pollutants must go through different source-sink types of landscape patterns in the process of collecting non-point source pollutants from the place of generation to the water body through the process of surface runoff, so the source-sink type co...

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Problems solved by technology

[0003] Aiming at the above-mentioned technical problems in related technologies, the present invention proposes a method for researching the relationship between multi-scale landscape patterns and water quality indicat

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