基于地理模型和多源遥感的林草生态综合监测方法OA

Accompanying with continuous development of ecosystem protection,forest-grass ecosystems have become a key issue that should be paid more attention.Analyzing present condition of forest and grass ecological monitoring can determine the problems that currently exist in forest and grass ecological monito-ring.A comprehensive monitoring method for forest and grass ecology based on geographic models and multi-source remote sensing has been proposed to address issues,such as insufficient remote sensing im-age analysis capabilities and insufficient accuracy of monitoring results in current process of comprehensive monitoring of forest and grass ecology.Remote sensing images have been collected,and 3D calibration and preprocessing work has been finished.By using texture feature extraction and support vector machine algo-rithm,remote sensing images for forest and grass ecological environment has been studied.By using multi-source remote sensing technology,a geographically weighted regression model for monitoring forest and grass map patches has been constructed.Importing the patches into the Markov matrix model,the monito-ring results of comprehensive changes in forest and grassland ecology have been obtaiined.Thus,the de-sign of a comprehensive monitoring method for forest and grass ecology based on geographic models and multi-source remote sensing has been completed.Through experiments,it has been confirmed that the remote sensing image classification accuracy and monitoring accuracy of this method are superior to the current method.