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Ecological environment fragile area land monitoring method, system and device

A technology for ecological environment and fragile areas, applied in the direction of neural learning methods, biological neural network models, instruments, etc., can solve the problems of low monitoring work efficiency and low monitoring accuracy rate, and achieve high monitoring work efficiency, reduced manpower, and detection The results are accurate

Active Publication Date: 2021-05-28
NORTHEAST FORESTRY UNIVERSITY
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The present invention aims to solve the problem of low monitoring work efficiency or low monitoring accuracy in current land monitoring in ecologically fragile areas

Method used

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  • Ecological environment fragile area land monitoring method, system and device
  • Ecological environment fragile area land monitoring method, system and device
  • Ecological environment fragile area land monitoring method, system and device

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Experimental program
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specific Embodiment approach 1

[0048] This implementation mode is a land monitoring method in an ecological environment fragile area, including the following steps:

[0049] 1. Collect images for regions corresponding to different ecological environment fragile areas, and obtain region-wide images;

[0050] In fact, the images obtained in various ways can be used for processing. Based on the consideration of the processing effect, this embodiment does not use the Google Earth Engine platform to obtain data, but uses aerial photography to obtain images;

[0051] Based on the method of extracting features and carrying out the overall scheme of the present invention, after research and analysis, it is found that the pixels of the collected images represent the actual real area and must be less than or equal to the real block area threshold, and the block area threshold should not exceed 30 meters * 30 meters, theoretically The smaller the pixels represent the actual real area, the better, but the prediction ac...

specific Embodiment approach 2

[0097] This embodiment is a method for monitoring land in ecologically fragile areas. In this embodiment, the monitoring of land changes in ecologically fragile areas is realized based on the changes in the prediction results corresponding to the t1 monitoring node time and the t2 monitoring node time. During the process, meteorological data, geographic information data (including elevation data), and soil data in the monitoring area can also be collected, and an ecological sensitivity evaluation index system can be constructed by referring to the "Interim Regulations for Ecological Functional Zoning Technology" to evaluate the sensitivity of the ecological environment ,As shown in table 2.

[0098] Table 2 Eco-environmental sensitivity evaluation indicators and grading assignment

[0099]

[0100] Other steps and parameters are the same as those in the first embodiment.

specific Embodiment approach 3

[0102] This embodiment is a land monitoring system in an ecological environment fragile area, and the system is used to implement a land monitoring method in an ecological environment fragile area.

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Abstract

The invention discloses an ecological environment fragile area land monitoring method, system and device, and belongs to the field of combination of an image recognition technology and an environment monitoring technology. The invention aims to solve the problem of low monitoring work efficiency or low monitoring accuracy in the current land monitoring of the ecological environment fragile area. The method comprises the following steps: determining a monitoring node according to a monitoring task and performing image acquisition on a monitored area range; changing the monitoring area range image into a grey-scale map, and recording the grey-scale map as an image A; marking G and B channel images in the RGB channel of the monitoring area range image as an image G and an image B respectively; marking the image with the B channel removed in the RGB channel as an image RG; performing prediction by using the trained neural network model to obtain a prediction result of the image at the corresponding monitoring node time; and monitoring the land change of the ecological environment fragile area according to the change of each segmented area in the prediction result corresponding to the monitoring node time. The method, system and device are suitable for land monitoring in ecological environment fragile areas.

Description

technical field [0001] The invention relates to a land monitoring method, system and device in an ecological environment fragile area. It belongs to the field of combination of image recognition technology and environmental monitoring technology. Background technique [0002] my country is one of the countries with the most types of fragile ecology, such as the ecologically fragile area of ​​interlaced forest and grass in the northeast, the ecologically fragile area of ​​interlaced agriculture and animal husbandry in the north, the ecologically fragile area at the junction of desert oasis in the northwest, the ecologically fragile area of ​​red soil hills and mountains in the south, and the rocky desertification in karst mountains in the southwest Ecologically fragile areas, ecologically fragile areas of agriculture and animal husbandry in the southwestern mountains, ecologically fragile areas of compound erosion on the Qinghai-Tibet Plateau, and ecologically fragile coastal ...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/34G06K9/62G06N3/04G06N3/08G06Q50/26
CPCG06N3/08G06Q50/26G06V20/00G06V20/52G06V10/267G06N3/045G06F18/24G06F18/214
Inventor 王蕾姚允龙柴青宇杨利金柴一涵贾佳宁静王佳轩
Owner NORTHEAST FORESTRY UNIVERSITY
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