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MODIS data-based agricultural drought monitoring method

A data and drought technology applied in the field of farmland drought monitoring

Inactive Publication Date: 2011-06-22
SHENYANG INST OF APPL ECOLOGY CHINESE ACAD OF SCI
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  • Abstract
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  • Application Information

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Problems solved by technology

Although there are many models for agricultural drought monitoring, most of them are only experimental studies

Method used

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  • MODIS data-based agricultural drought monitoring method
  • MODIS data-based agricultural drought monitoring method
  • MODIS data-based agricultural drought monitoring method

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Embodiment Construction

[0063] Take farmland drought monitoring in North China as an example. The research area mainly includes Hebei, Beijing, Tianjin, Shandong, Henan, Jiangsu and Anhui provinces. This area is the main agricultural area in my country, and the main meteorological disaster is drought, which occurs frequently and lasts for a long time, and has a serious impact on the national economy. Spring droughts often occur in this area; therefore, the monitoring and research on the drought in North China in April was carried out.

[0064] First, select the corresponding MODISL1B data according to the scope of the study area, and perform unified preprocessing on the remote sensing data of the selected band according to the conventional method (processing in remote sensing data software such as ERDAS or ENVI), and use the remote sensing software data to perform geometric correction and cloud detection. and projection transformation for further matching calculations. Then use the corresponding ba...

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Abstract

The invention discloses a moderate-resolution imaging spectroradiometer (MODIS) data-based agricultural drought monitoring method. In the farmland drought monitoring process, an agricultural drought index is determined by a crop water supply index and a rainfall anomaly index; in the drought monitoring process, a vegetation index and the surface temperature are inverted by MODIS data, and the crop water supply index is calculated by the vegetation index and the surface temperature; the rainfall anomaly index is calculated by rainfall data; and drought severity is determined by dividing the level of the drought index.

Description

technical field [0001] The invention relates to a farmland drought monitoring method. Background technique [0002] The occurrence process of drought is latent and not easy to discover; the occurrence of drought in farmland is characterized by a wide range of influence, which brings serious catastrophic consequences and economic losses; research and evaluation of the process of occurrence and development of drought can take corresponding measures to combat drought and prevent disasters Disaster mitigation measures to reduce agricultural disaster losses. With the development of remote sensing technology, remote sensing has opened up a new way for drought monitoring with its dynamic, real-time, multi-spectral and cheap advantages. The vegetation index and surface temperature obtained by remote sensing are two very important parameters to describe the characteristics of the earth's surface. Therefore, when drought occurs, changes in vegetation index or surface temperature can ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N21/55G01N21/17G01S17/89G06F17/10
Inventor 王瑞杰宇万太覃志豪
Owner SHENYANG INST OF APPL ECOLOGY CHINESE ACAD OF SCI
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