Unmanned machine-based wild animal community condition monitoring method

Abstract

The invention discloses an unmanned machine-based wild animal community condition monitoring method. The unmanned machine-based wild animal community condition monitoring method not only can monitor the distribution and growth conditions of wild animal community, but also can track and monitor endangered and critically endangered animals and alien species, can take the spotlight in the field of wild animal resource protection, achieve favorable effects in the fields of investigation and evidence collection, prewarning and frightening, collaborative tracking and the like by full verification at the early-stage testing step, prevents limits of original manual patrol, lowers the cost of monitoring and patrol equipment greatly, and has the characteristics of wide monitoring range, species detection diversity, rapid and timely resource supply and the like.

Description

technical field [0001] The invention belongs to the field of wild animal community monitoring, and in particular relates to a method for monitoring the state of wild animal communities based on an unmanned aerial vehicle. Background technique [0002] The survival and development of wild animals maintain the balance and stability of the entire ecosystem. Wildlife species, abundance, and habitat conditions are important indicators of ecosystem change and reflect management strategies. The significance of wildlife monitoring is to understand the status and changes of wild animal populations, provide necessary information on the number of wild animals and habitat conditions, formulate wildlife management strategies, assess the value of wild animals, grasp the status quo of wild animal resources, and help researchers to grasp the status of wild animals. The status quo of resources and the dynamic changes of wild animal resources provide a basis for effective protection, sustain...

AI Technical Summary

Problems solved by technology

Wildlife monitoring mainly faces challenges such as the complexity of the environment, the particularity and difference of animal habits

Wildlife monitoring is a hot research field at home and abroad, but domestic research on long-term dynamic monitoring of wild animals is still very lacking. The existing problems are the relative lack of professionals in wildlife monitoring and the lack of long-term accumulation of basic data on resources and environment. Insufficient investment in key areas and protected areas of wild species distribution, etc.

In 2005, the State Forestry Administration launched the construction of a national wildlife epidemic disease monitoring system. The country has established 150 national-level, 402 provincial-level and a large number of city-level and county-level wildlife monitoring stations, distributed in migratory bird migration passages, migration stops The main purpose is to monitor and control highly pathogenic avian influenza epidemics, but the layout of monitoring stations is limited, it is difficult to fully cover the areas where wild animals are concentrated, and there are still monitoring blind spots. Capacity still needs to be improved, some technical issues have not been resolved

Traditional wildlife protection monitoring methods are not conducive to researchers' comprehensive, accurate and timely grasp of the status quo of wildlife resources and the dynamic changes of wildlife resources

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