Forestry health evaluation system based on aerial remote sensing

Abstract

The invention provides a forestry health evaluation system based on aerial remote sensing. The system adopts three indexes of tree density, tree growth form and vegetation layer temperature to evaluate the health condition of a forestry, the forest health conditions are analyzed and evaluated from different angles, the three indexes can be used independently, and two or three of the three indexescan be used comprehensively, so that the forestry health research and evaluation capacity is improved. The unmanned aerial vehicle and the 3S technology are combined, so that the innovation speed of the evaluation method is increased, the quantitative research of the healthy forestry is promoted, and the relations among the evaluation indexes are balanced and known deeply, and a perfect forestry health evaluation system is established. The unmanned aerial vehicle is specially designed for the forestry health evaluation system and can obtain the data needed by multiple evaluation indexes at thesame time, an unmanned aerial vehicle flight control system and a geographic information system are combined to fully utilize the geological landform characteristics and the geographic information data of a cruise area, the cruise path design is scientific and reasonable, and the advantages of the unmanned aerial vehicle for evaluating the forestry health are fully exerted.

Description

technical field [0001] The invention relates to a forestry health evaluation system, in particular to a forestry health evaluation system based on aerial remote sensing, and belongs to the technical field of unmanned aerial vehicle forestry health evaluation. Background technique [0002] Forest is the main body of forestry and the basis for the sustainable and healthy development of the entire national economy. Forestry is the economic, aesthetic, ecological and cultural resources that human beings rely on for survival. The role of imbalance. However, in recent years, under the pressure of survival, human beings have caused serious damage to the forest's self-control system and maintenance function through immigration, logging, deforestation, and overgrazing. With the economic development worldwide, forests have been over-cut , forest resources are decreasing, and forest health is facing unprecedented challenges. The productivity and health level of forests are directly r...

AI Technical Summary

Problems solved by technology

[0005] There are many deficiencies in the current forestry health evaluation: First, the current forestry health evaluation indicators are not scientifically sound. Researchers in different professional fields have different understandings of forest health standards. They observe the same forest from different angles and consider different indicators. , the evaluation system is incomplete, due to the complexity and variety of research objects, and the differences in research methods and research scales, there is no standard forest health evaluation system at present, and it is difficult to choose an appropriate evaluation method. There are many methods for forest evaluation, and each method is There are advantages and disadvantages. Adopting a certain method may not be able to conduct a comprehensive evaluation of forests. There is a lack of quantitative research on forest health, and there is no in-depth trade-off to understand the relationship between various evaluation indicators. The forestry health evaluation system is not scientific and perfect.

Second, forestry health assessment methods mainly include tower observation, ground inspection and satellite remote sensing, etc., which are backward, costly, and are greatly affected by terrain. There will be visual blind spots, one-sided observation, poor real-time performance and resolution

The third is to partially use drones for monitoring, but the drones used are heavy, have short flight time, and small cruising range. Generally, they cannot complete the task, or require frequent take-off and landing and replenishment. It is difficult to implement forestry health assessment by drones. , the monitoring efficiency is very low, the operation is cumbersome and difficult, the monitoring effect is not satisfactory, the monitoring hardware carried by the UAV is relatively backward, the jitter is serious during the flight of the UAV, and the clear picture of the image collected by the camera is poor, which is even lower. The accuracy and reliability of monitoring

Fourth, UAVs do not specialize in path planning, and do not combine UAV flight control systems with geographic information systems, which leads to blindness in UAV fire monitoring path planning, and does not make full use of the geological features and geographic information data of the cruise area. , the cruising path design is old-fashioned and single, the scientific system is poor, the monitoring is weak, and the advantages of UAV forestry monitoring cannot be fully utilized

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