Remote sensing tobacco field identification method based on improved vegetation index

Abstract

The invention provides a remote sensing tobacco field identification method based on an improved vegetation index. The remote sensing tobacco field identification method comprises the following steps: acquiring a multi-temporal synthetic aperture microwave radar remote sensing image and a visible light near-infrared multispectral remote sensing image of tobaccos in a monitoring area in the whole growth period; acquiring spectral reflection and backscattering data of remote sensing images of crops in a monitoring area in each growth period of tobacco, analyzing spectral reflection and backscattering differences between the tobacco and other crops in the monitoring area, constructing a characteristic vegetation index SPVI, and generating an index time sequence curve; determining an identification characteristic threshold, and extracting a tobacco suitable planting area according to tobacco growth characteristics, monitoring area land utilization data, DEM data and remote sensing data; and in a tobacco suitable planting area, establishing a classification feature set according to a feature vegetation index SPVI time sequence curve of the sample by using spectral reflection and backscattering differences between land classes, and identifying a tobacco field in a monitoring area. The method solves the problem of remote sensing identification of the tobacco field in the cloudy and rainy area, and the tobacco field identification is more accurate and convenient.

Description

technical field [0001] The invention relates to the technical field of application of remote sensing technology in agriculture, in particular to a remote sensing tobacco field identification method based on improved vegetation index. Background technique [0002] Rapid and accurate acquisition of tobacco planting area information is helpful for tobacco growth monitoring, yield estimation, pest monitoring and early warning, etc. The current survey and statistics methods are manual investigation and level-by-level reporting, and it is difficult to guarantee the objectivity of the data. At the same time, there are problems such as low efficiency and poor timeliness. It is difficult to monitor in time by conventional means. Using remote sensing technology to monitor tobacco planting area has the advantages of objectivity and speed. [0003] In recent years, with the development of remote sensing technology, remote sensing data has been widely used in information extraction of t...

AI Technical Summary

Problems solved by technology

[0004] The embodiment of the present invention provides a remote sensing tobacco field identification method based on the improved vegetation index to solve the problem of remote sensing identification of tobacco fields in cloudy and rainy areas, and the identification of tobacco fields is more accurate and convenient

Images