Automatic Measurement of Multi-vegetation Parameters Aimed to Stational Observation and Its Application

Abstract

The 7th China scientific data conference, A1: report on ecological field stations and sub venues of ecological discipline observation Report title: vegetation multi parameter automatic observation system and Practice for station monitoring Reporter: Qu Yonghua, Department of Geographical Sciences, Beijing Normal UniversityTime: October 11, 2021 Location: Hohhot, Inner Mongolia, China Main contents of the report: The main problems in the measurement of key vegetation parameters in station monitoring at home and abroad are analyzed, that is, the measurement time frequency is too low, the space is not representative, and there is no standardized operation specification between stations. The lack of ground station observation data restricts the application of point to surface scale expansion. The main reason for the lack of observation data is that the current main vegetation parameter measurement is completed by manual methods. The lack of automatic observation means restricts the acquisition of continuous vegetation parameters. In view of the problems existing in the current station observation, this report proposes an automatic observation method of key vegetation parameters based on the Internet of things (Wireless Sensor Network) architecture, which realizes the automatic and continuous observation of vegetation leaf area index, vegetation index, photosynthetic effective radiation and phenological index. Through the indoor comparative experiment and outdoor large-scale application practice, it shows that the independent research and development to realize the automatic measurement of ecological key parameters is an effective way to solve the current station observation, and the report results provide a feasible solution to support the data acquisition of field ecological stations.