Crop drought risk assessment system and method based on disaster mechanism process

Abstract

The invention belongs to the technical field of crop drought risk assessment. The invention discloses a crop drought risk assessment system and method based on a disaster mechanism process. The crop drought risk assessment system comprises a meteorological data acquisition module, a temperature acquisition module, a soil humidity acquisition module, a main control module, a data comparison module,a drought grade determination module, a drought index calculation module, a remote sensing monitoring module, an evaluation module, a drought threshold prediction module, a drought early warning module, a power supply module, a data storage module, a terminal module and a display module. According to the crop drought risk assessment system and method, the drought threshold prediction module predicts the drought threshold in a big data mode to predict the possibility of drought in the future and the drought level in advance; and meanwhile, the drought early warning module can accurately predict and early warn whether hydrological drought occurs or not and how much hydrological drought occurs in advance, wins time for drought resisting departments, reduces hydrological drought disaster risks, and reduces agricultural economic losses.

Description

technical field [0001] The invention belongs to the technical field of crop drought risk assessment, in particular to a crop drought risk assessment system and method based on a disaster-causing mechanism process. Background technique [0002] The growth and development of crops requires sufficient water supply. Although irrigation can effectively solve the water demand for crop growth, drought and water shortage are often unavoidable for regional agriculture, especially for crop planting. Accurately grasping the temporal and spatial dynamic information of crop drought is an important aspect of agriculture. There is an urgent need for drought resistance and disaster reduction and high yield and income increase (Huang Ronghui et al. 2003 Qin Zhihao et al. 2005). Remote sensing can timely and accurately obtain the temporal and spatial information of various elements on the surface of the region, so it has important application value in the monitoring of regional crop drought. ...

AI Technical Summary

Problems solved by technology

[0009] (1) When assessing the drought risk of existing crops, the drought threshold cannot be predicted; at the same time, the meteorological and hydrological drought cannot be accurately forewarned

[0010] (2) The existing single sensor has limitations in obtaining data, and cannot effectively obtain high-time, high-space and hyperspectral remote sensing data, so there are obvious deficiencies in monitoring accuracy and timeliness

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