Data mining-based drought monitoring method

A data mining and drought technology, applied in the direction of instruments, character and pattern recognition, computer parts, etc., can solve the problems of uncertainty, unable to reflect the information of precipitation profit and loss caused by drought factors, unable to reflect the surface coverage, etc. Effect

Inactive Publication Date: 2016-07-13
CHINA INST OF WATER RESOURCES & HYDROPOWER RES
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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

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[0048] Example: Using the MODIS data of Guizhou Province in 2002-2012 as the data source, the drought situation in Guizhou in 2009-2010 was dynamically monitored. Such as figure 1 As shown, the specific implementation steps are:

[0049] Step 1. Data reconstruction of MODIS vegetation index products, land surface temperature products, and evapotranspiration products from 2002 to 2012. The low-quality data for MODISMOD13 products are filled using the average vegetation index of other years in the same month. The time series vegetation index is denoised and smoothed using Hants filtering technique. For the MOD11A2 surface temperature product, the synthesis algorithm takes the proportion of days occupied by the 8d surface temperature product of each scene in a certain month as the weight, and then linearly adds all the surface temperature products of the day and month according to the weight. For some invalid value areas in the synthetic data, the average value algorithm is us...

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Abstract

The invention discloses a data mining-based drought monitoring method. The method comprises the following steps: 1, data reconstruction is carried out on an MODIS vegetation index product, a land surface temperature product and an evapotranspiration product; 2, according to the vegetation index obtained in the first step and DEM data, downscaling is carried out on a TRMM rainfall product; 3, a vegetation anomaly index, a temperature anomaly index, an evapotranspiration anomaly index and a rainfall anomaly index are extracted again; and 4, a classification and regression tree model is used for building a statistical regression rule and a linear fitting model to obtain a drought monitoring model. Compared with the prior art, the method of the invention comprehensively considers multi-source remote sensing spatial information, such as the rainfall, the evapotranspiration, the vegetation growth state, the land using type, the altitude and other factors, in the case of drought monitoring, spatial data mining is adopted, the drought monitoring model is built, and the drought monitoring precision is improved.

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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Application Information

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IPC IPC(8): G06K9/00G06K9/62
CPCG06V20/188G06F18/24147
Inventor 冯杰何祺胜杨志勇于赢东王兴勇刘盈斐王开王鹏吕烨张良艳翁白莎邵薇薇
Owner CHINA INST OF WATER RESOURCES & HYDROPOWER RES
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