Drought index construction method based on passive microwave remote sensing

A technology of passive microwave remote sensing and drought index, applied in the direction of electrical digital data processing, special data processing applications, instruments, etc., to achieve the effect of overcoming the influence of meteorological conditions

Inactive Publication Date: 2017-06-27
SOUTH CHINA BOTANICAL GARDEN CHINESE ACADEMY OF SCI +1
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  • Abstract
  • Description
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  • Application Information

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Problems solved by technology

[0004] However, the current TVDI is based on visible and near-infrared remote sensing, which is e

Method used

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  • Drought index construction method based on passive microwave remote sensing
  • Drought index construction method based on passive microwave remote sensing
  • Drought index construction method based on passive microwave remote sensing

Examples

Experimental program
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Embodiment 1

[0037] Such as figure 1 As shown, a drought index construction method based on passive microwave remote sensing includes the following specific steps:

[0038] 1) Construct a diurnal mask and an intermonthly mask to eliminate the influence of mixed pixels of glaciers, snow cover and water bodies on AMSR-E data when inverting temperature;

[0039] 2) Construct a land surface temperature inversion model using AMSR-E's 10.8GHz and 89.0GHz vertical polarization channels Tb for inversion of land surface temperature, where Tb is brightness temperature data from passive microwave remote sensing;

[0040] 3) A microwave normalized difference vegetation index model was constructed based on the microwave polarization difference index (MPDI);

[0041] 4) Based on the established surface temperature inversion model and vegetation index model, construct the dry-edge and wet-edge equations of the MTVDI model;

[0042] 5) Establish the MTVDI model to simulate and monitor the monthly drough...

Embodiment 2

[0067] Such as Figure 6 As shown, the microwave vegetation drought index model takes 2010 as an example to analyze the annual spatio-temporal variation of the M-TVDI results. The results showed that during the period from October to March, the drought mainly occurred in the south China area of ​​Yunnan, Guangxi and Guangdong. The drought in South China eased from April to September, reaching the lowest point of drought intensity in June. In northern China, the drought mainly occurs in the Inner Mongolia-Xinjiang area from April to September. The reason may be that the period from April to September is the rainy season in southern China, and the abundant precipitation effectively slows down the drought; however, due to the rising temperature and low precipitation in the northern Xinjiang and Inner Mongolia areas at this time, the surface evaporation is strong, resulting in Drought is more severe.

[0068] Such as Figure 7 As shown, in order to further understand the tempo...

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Abstract

The invention discloses a drought index construction method based on passive microwave remote sensing. The method comprises the specific steps that an inter-diurnal mask and an inter-monthly mask are constructed, and influences of mixed pixels of edges of a glacier, a snow cover and a water body on AMSR-E data during temperature retrieval are eliminated; a land surface temperature retrieval model is constructed through 10.8GHHz and 89.0GHz vertical polarization channel Tb of AMSR-E and used for performing retrieval on land surface temperature, wherein Tb is brightness temperature data of passive microwave remote sensing; a microwave normalized difference vegetation index model is constructed based on a microwave polarization difference index (MPDI); a dry edge equation and a wet edge equation of an MTVDI model are constructed based on the established land surface temperature retrieval model and vegetation index model; and the MTVDI model is established to simulate and monitor drought throughout the country month by month. The method has the advantages that the defect that visible light/near-infrared remote sensing is liable to influences of meteorological conditions is effectively overcome, and a great improvement is made to a TVDI model.

Description

technical field [0001] The invention relates to the field of passive microwave remote sensing drought inversion, in particular to a method for constructing a drought index based on passive microwave remote sensing. Background technique [0002] Drought is a phenomenon of water shortage caused by regional water budget or imbalance between supply and demand. It is an extremely complex natural disaster that is difficult to be controlled by people. Agricultural drought events of different durations, different intensities, different frequencies, and different spatial ranges have been experienced on all lands in the world, resulting in large-scale crop yield reduction and huge economic losses. How to take effective measures to monitor agricultural drought, and timely and accurate understanding of agricultural drought is extremely important for local governments and agricultural management departments. [0003] At present, due to the limitation of the distribution density of groun...

Claims

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Application Information

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IPC IPC(8): G06F19/00
CPCG16Z99/00Y02A90/10
Inventor 陈修治苏泳娴刘礼杨
Owner SOUTH CHINA BOTANICAL GARDEN CHINESE ACADEMY OF SCI
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