A High-Precision Remote Sensing Monitoring Method for Adaptive Agricultural Drought

Abstract

The invention discloses an adaptive agricultural drought high precision remote sensing monitoring method including a soil moisture document and comprising the following steps: A, inputting data and calculating a remote sensing drought index and a meteorological drought index, and respectively calculating on the basis of the remote sensing drought index, the meteorological drought index and the soil moisture document to obtain a correlation coefficient of soil humidity and the remote sensing drought index and a correlation coefficient of the soil humidity and the meteorological drought index; B, calculating by a model optimization method according to the correlation coefficients; C, calculating minimum residual min-rmse according to four model residuals, and calculating best model array best-band-comb according to the minimum residual min-rmse; and D, performing matrix calculation according to the best model array best-band-comb to obtain a soil moisture estimation model and image; wherein the a model optimization method in the step C comprises the steps shown in the specification. The adaptive agricultural drought high precision remote sensing monitoring method has the advantage ofwide range of application, and can be used to detect corresponding drought indexes according to the change of time, space and climate.

Description

technical field [0001] The invention belongs to remote sensing technology, and in particular relates to a high-precision remote sensing monitoring method adaptive to agricultural drought. Background technique [0002] Droughts are sudden and frequent. Traditional drought monitoring methods are time-consuming, labor-intensive, and limited in scope, making it difficult to meet the needs of real-time and large-scale monitoring. With the development of remote sensing technology, remote sensing drought monitoring has become the main tool for agricultural drought monitoring and drought prevention in my country. [0003] Drought index has high research value and very broad application prospects in agriculture, forestry and ecological environment monitoring, and is one of the current research frontiers and hotspots. However, the current drought index has limitations: different indices are greatly affected by climatic factors, spatial factors and time factors, and the accuracy is re...

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Problems solved by technology

However, the current drought index has limitations: different indices are greatly affected by climatic factors, spatial factors and time factors, and the accuracy is high in a certain region under a certain climatic condition, but it is not applicable when changing its region, time and climatic conditions

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