Abstract: A method for ecological disturbance risk identification and assessment based on automatic parameter adjusting optimization model is disclosed. The method includes: establishing a three-layer ecological disturbance risk assessment index system based on an ecological disturbance risk identification and assessment function, performing normalization preprocessing on the assessment indexes, screening the assessment indexes meeting a multicollinearity judgement interval based on variance inflation factor method, establishing an ecological disturbance risk assessment model, optimizing weight parameters of the ecological disturbance risk assessment model based on particle swarm optimization algorithm to obtain an optimal solution of the model weight, and outputting a result of the risk index of ecological disturbance.

Abstract: The present disclosure discloses a remote sensing-based extraction method for a type of a river channel, including: obtaining multi-source remote sensing data of a target area including a river channel; preprocessing the multi-source remote sensing data, and obtaining corresponding reflectance data; according to the reflectance data, analyzing a water index and a vegetation index of the target area; and according to the water index and the vegetation index, constructing first preset conditions for determining whether there is water in the river channel and second preset conditions for determining whether the river channel is a non-dry river channel to determine the type of the river channel. Types of river channels can be divided into four types: non-dry river channels, seasonal dry river channels, temporary water channels, and dry river channels.

Abstract: A human activity recognition fusion method and system for ecological protection red line is disclosed. The method includes: obtaining a pre-stage remote sensing image and a post-stage remote sensing image of a target ecological protection red line region, and performing a data pre-processing; inputting the pre-processed pre-stage remote sensing image and the post-stage remote sensing image into a human activity recognition model after a pre-training; identifying a human activity pattern of the target ecological protection red line region as a first detection result; segmenting, calculating and analyzing the latest image data corresponding to the target ecological protection red line region based on a geographical country situation data to obtain a change pattern as a second detection result; and fusing the first detection result and the second detection result to obtain a change detection pattern of the target ecological protection red line region.