A terrestrial plant ecological environment monitoring method based on multi-source remote sensing data fusion

Abstract

The invention relates to the field of ecological environment monitoring, and discloses a terrestrial plant ecological environment monitoring method based on multi-source remote sensing data fusion, which is used for realizing identification, classification and dynamic monitoring of vegetation types in a target area more efficiently. An unmanned aerial vehicle is used for vertically shooting a target area, and unmanned aerial vehicle remote sensing three-dimensional modeling is generated; Obtaining a spectral remote sensing image of a target area through satellite remote sensing, and fusing thesatellite remote sensing image with a model generated by unmanned aerial vehicle remote sensing three-dimensional modeling; Calculating and segmenting the fused image; Determining characteristic parameter indexes participating in object-oriented classification, and classifying and extracting monitored vegetation types; Constructing a confusion matrix, evaluating the classification precision by using the confusion matrix, and extracting the area size and distribution condition of each type of vegetation; Finally, the classification results of the two stages are subjected to superposition comparison analysis, and the dynamic change ranges and areas of different vegetation types are calculated. The method is suitable for terrestrial plant ecological environment monitoring.

Description

technical field [0001] The invention relates to the field of ecological environment monitoring, in particular to a method for monitoring the ecological environment of terrestrial plants based on fusion of multi-source remote sensing data. Background technique [0002] At present, my country's ecological environment monitoring network has incomplete scope and coverage of elements, inconsistent construction planning, standards and information release, low level of informatization and sharing, poor integration of monitoring and supervision, and the quality of monitoring data needs to be improved. It is difficult to meet the needs of ecological civilization construction, which affects the scientificity, authority and government credibility of monitoring. It is necessary to accelerate the construction of ecological environment monitoring network. [0003] At the same time, with the development of UAV systems towards civilian use, miniaturization, and modularization in recent years...

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Problems solved by technology

[0002] At present, my country's ecological environment monitoring network has incomplete scope and coverage of elements, inconsistent construction planning, standards and information release, low level of informatization and sharing, poor integration of monitoring and supervision, and the quali

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