The density of suspended particles is a crucial indicator for assessing the water quality, the study was based on high score 1 (GF-1) satellite remote sensing image, using a neural network model, choosing a double hidden layer set, building the Hangzhou bay turbid water suspended sediment concentration inversion model, to analyze the space-time characteristics of the suspended sediment density, and comparing with other conventional precision inversion method. The findings demonstrate that retrieving the suspended sediment concentration in Hangzhou Bay using the BP neural network model is viable, and compared with other conventional methods, the model has a higher correlation (R2 = 0.9398) for the inversion of turbidity water with higher suspended sediment concentration. In the spatial distribution of the Hangzhou bay area water suspended sediment concentration is high overall, Hangzhou bay water suspended sediment concentration to an average of 679 mg/L, the inversion results show that the water in Hangzhou Bay has a high overall concentration of suspended silt, internal differences obviously, among them the highest of the central region, and diminishing the coast gradually to bay mouth, respectively.
Taking J Village in Zhejiang province as an example, this paper discussed the application scenarios, methods and effects of digital technology in village planning and design practice from the perspective of collaborative planning. The results show that: (1) digital technology plays an important role in improving the collaboration levels, and can effectively reduce the spatial and temporal cost of multi-party collaboration in village planning; (2) The three stages of preliminary investigation, planning scheme comments and dynamic feedback of planning implementation are the main scenes of digital technology application; (3) How to reduce the application threshold of digital technology and enable ordinary villagers to participate in village planning without barriers is still a difficult problem that needs to be tackled in this field.
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