Method and device for monitoring late frost damage to crops based on remote sensing data

Abstract

The invention provides a method and a device for monitoring late frost damage to crops based on remote sensing data. A monitoring area is gridded. For each grid point, the meteorological data of a meteorological station in the crop growth period is acquired on one hand, and on the other hand, the meteorological data in the remote sensing data in the crop growth period is extracted. The two types of meteorological data are assimilated to obtain assimilated meteorological data. Based on the assimilated meteorological data, the growth of crops on the current day is determined, and the biologicalcharacteristics of the crop canopy are determined. The temperature data of the crop canopy on the current day is determined according to the biological characteristics of the crop canopy and the meteorological data on the current day. The late frost damage area on the current day is determined according to the temperature data of the crop canopy on the current day. Therefore, remote sensing data and ground real-time monitoring data are combined in the monitoring process of late frost damage, the shortcoming of the method relying on ground real-time monitoring data only is overcome, and the monitoring precision of late frost damage is improved.

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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