Correction of Adjacency Effects on Nearshore Lake Remote Sensing Reflectance Considering Multifactor and Morphological Influences on the Water-Land Interface

The intensity and spatial pattern of adjacency radiance are jointly influenced by multiple environmental factors and lake morphological features. Based on these findings, a parameterized adjacency effect correction model was developed by coupling multifactor influences with morphological constraints, enabling effective correction of nearshore remote sensing reflectance. Validation using representative lakes demonstrated that the model significantly reduces retrieval errors in nearshore reflectance and decreases the computational cost of pixel-level MC simulation by approximately 90%.

The proposed method is well-suited for correcting adjacency effects in medium- and high-resolution imagery of lakes with complex shorelines, providing high-quality remote sensing reflectance for the accurate inversion of nearshore water quality parameters.