A monitoring method and device for late frost damage of crops based on remote sensing data

Abstract

The present invention provides a method and device for monitoring late frost damage of crops based on remote sensing data. By gridding the monitoring area, for each grid point, on the one hand, the meteorological data of the meteorological stations during the crop growth period are obtained, and on the other hand, Extract the meteorological data from the remote sensing data during the crop growth period, and assimilate the two meteorological data to obtain the assimilated meteorological data, and based on the assimilated meteorological data, determine the growth of the crops on the day to determine the crop growth rate. The biological characteristics of the canopy, the temperature data of the crop canopy of the day are determined according to the biological characteristics of the crop canopy and the meteorological data of the day, and the late frost damage area of ​​the day is determined according to the temperature data of the crop canopy of the day. Therefore, in the monitoring process of late frost damage, the remote sensing data and ground real-time monitoring data are combined to overcome the shortcomings of only relying on ground real-time monitoring data and improve the monitoring accuracy of late frost damage.

Description

technical field [0001] The invention relates to the technical field of crop monitoring, and more particularly, to a monitoring method and device for late frost damage of crops based on remote sensing data. Background technique [0002] Food security is related to the national economy and the people's livelihood, as well as the sustainable development of the national economy and social stability. Late frost injury is one of the agricultural meteorological disasters in my country, which generally occurs after the jointing of crops. For example, winter wheat is one of the main food crops in my country and is widely planted in the north; late frost damage occurs to varying degrees almost every year in the northern wheat region, especially in the Huanghuai wheat region, where 45% of the affected areas have a great impact on agricultural production; Therefore, the real-time monitoring of late frost damage of crops is of great significance for post-disaster relief, evaluation of fr...

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Problems solved by technology

[0004] Existing numerical models often require the meteorological elements on the underlying surface as the basis for simulation. The traditional method of obtaining meteorological elements on the underlying surface is provided by various meteorological stations, but this has the disadvantage that the number of meteorological stations is limited and the meteorological data are not enough to fully represent the entire The characteristics of regional meteorological changes, as well as the fact that meteorological stations are mostly set up on the edge of cities or on open spaces in suburban areas, and have defects such as large differences with farmland microclimate environments, especially in temperature, cannot fully reflect the non-uniform spatial change information of the near-surface meteorological environment

Although the spatial interpolation method can realize the acquisition of surface data of meteorological elements in the region such as temperature, solar radiation, water vapor pressure, average wind speed, precipitation, dew point temperature, etc. The influence of sample point density, etc., the error is large

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