This invention discloses a method and apparatus for fine extraction of aquatic
vegetation and landscape
connectivity assessment in rivers and lakes based on high-resolution
remote sensing, belonging to the field of environmental
remote sensing monitoring and water
ecology assessment technology. It includes: acquiring and preprocessing high-resolution
satellite imagery to obtain a standardized
remote sensing image dataset; extracting
water body masks and aquatic
vegetation coverage areas through hierarchical threshold segmentation; constructing a dual-threshold discrimination rule based on the normalized
vegetation index and soil-regulated
vegetation index to finely divide the distribution areas of floating and submerged plants; constructing a binary raster map of vegetation distribution based on the distribution areas; combining a preset
connectivity distance threshold; calculating the landscape
connectivity index of vegetation patches based on
graph theory; determining the ratio of equivalent connected area to effective connected area; and completing a comprehensive assessment of the ecological effectiveness of the aquatic vegetation
community. This invention is mainly used for remote sensing monitoring of aquatic vegetation in urban rivers and lakes and for assessing the effectiveness of water
ecology restoration, effectively mitigating spectral interference from complex
water body sediment backgrounds.