Construction of a computational model for ecological environment change assessment based on coordination of multi – source remote sensing data

The model that evaluates the integrated condition of the ecological environment of the lake Taihu is created in conjunction with remote sensing satellite images, ground monitoring data, and other such geo-sourced information.This paper provides a comprehensive assessment framework integrating water quality measures, vegetation indices, and atmospheric conditions to assess-temporal and spatial variations of lake ecosystems.Analysis of five years (2019-2023) of monitoring data reveals significant spatial heterogeneity in water quality parameters, with distinct increase in degradation within the northern and western parts of the lake.Characterised pan-regional eutrophication indicators show clear zonation patterns which are largely distributed in areas of increased human use and zonal hydrodynamic conditions.Seasonal analysis indicates distinct differences in water quality parameters prompting an increase in algal bloom within the summer months.Target areas are designated and analysed in this study and are reflective of critical conditions that require immediate management control measures german Meiliang Bay and the Western Zone.Methodological testing reflects a congenial result resulting in models with high accuracy (R > 0.89) and reliability within diverse temporal and spatial range.Data obtained partially or largely complement ecological management policy and enable such policies to be formulated where monitoring the health of a lake's ecosystem and addressing its restoration is key.