A Drought Monitoring Method Based on Data Mining

Abstract

The invention discloses a drought monitoring method based on data mining. The steps of the method are as follows: step 1, data reconstruction is performed on MODIS vegetation index products, surface temperature products, and evapotranspiration products; step 2, according to the vegetation index obtained in step 1 and DEM data, downscale TRMM precipitation products; step 3, extract vegetation anomaly index, temperature anomaly index, evapotranspiration anomaly index, precipitation anomaly index; step 4, construct statistical regression rules and linear fitting model with classification regression tree model to get Drought Monitoring Model. Compared with the prior art, the present invention comprehensively considers the multi-source remote sensing spatial information in drought monitoring, including precipitation, evapotranspiration, vegetation growth status, land use type, altitude and other factors, uses spatial data mining to build a drought monitoring model, and improves Accuracy of Drought Monitoring.

Description

technical field [0001] The invention relates to the field of environmental monitoring, in particular to a drought monitoring method based on data mining. Background technique [0002] Traditional drought monitoring is limited to using soil water content data distributed on relatively sparse points on the ground to monitor drought conditions and distribution range. Due to the small amount of ground monitoring data and poor representation, dynamic monitoring of large-scale drought disasters cannot be realized. Satellite remote sensing information provides an efficient and convenient technical platform for large-scale drought disaster monitoring because of its macroscopic, dynamic, objective, and time-sensitive characteristics. [0003] Remote sensing technology is a necessary means to obtain distributed information on the land surface. Since remote sensing technology turned to civilian use, using remote sensing technology to monitor regional drought has become one of the mai...

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Problems solved by technology

[0009] Remote sensing drought monitoring methods are widely used because of their high spatio-temporal resolution and the ability to obtain regional continuous spatial drought conditions. However, previous remote sensing drought monitoring methods focused on considering single factors such as soil and vegetation, especially most It cannot reflect the precipitation profit and loss information in the drought-causing factors, and the single monitoring index generated from the vegetation index or surface temperature and their combination has great uncertainty in drought monitoring

With the development of microwave radar remote sensing technology, it is possible to obtain real-time atmospheric precipitation from a continuous space plane, especially the launch of the Tropical Rainfall Measuring Mission (TRMM) satellite, which provides a new remote sensing data for comprehensive drought monitoring However, its spatial resolution is relatively coarse and cannot reflect the finer surface coverage. It is necessary to downscale the spatial precipitation before it can be used in drought monitoring.

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