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Pollution condition monitoring method based on satellite remote sensing technology

A satellite remote sensing and pollution technology, applied in the field of atmospheric remote sensing, can solve the problems of low accuracy, difficulty in manual measurement, and low efficiency.

Active Publication Date: 2021-07-06
YUNNAN POWER GRID CO LTD ELECTRIC POWER RES INST
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  • Application Information

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Problems solved by technology

[0005] This application provides a pollution monitoring method based on satellite remote sensing technology to solve the problems of difficulty in implementing manual measurement, low accuracy and low efficiency

Method used

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  • Pollution condition monitoring method based on satellite remote sensing technology
  • Pollution condition monitoring method based on satellite remote sensing technology
  • Pollution condition monitoring method based on satellite remote sensing technology

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Embodiment Construction

[0042] see figure 1 , is a schematic flow chart of a pollution monitoring method based on satellite remote sensing technology for this application, see figure 1 , the present application provides a pollution monitoring method based on satellite remote sensing technology based on steps such as the processing of satellite remote sensing images, the combination of satellite data and ground data, and the generation of pollution maps. The method includes:

[0043] Obtain aerosol optical depth (AOD) and enhanced vegetation index (EVI) through MODIS satellite;

[0044] Stitching, cropping and defining a geographic coordinate system to the aerosol optical depth AOD and the enhanced vegetation index EVI;

[0045] Obtain MODIS High Temporal Resolution and High Spatial Resolution (https: / / ladsweb.modaps.eosdis.nasa.gov / ) mean daily aerosol optical depth AOD data (MOD04). When the research area is in different areas, MRT tools need to be used for splicing. The downloaded aerosol optica...

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Abstract

The invention discloses a pollution condition monitoring method based on a satellite remote sensing technology. The method comprises the following steps: acquiring an aerosol optical thickness AOD and an enhanced vegetation index EVI through an MODIS satellite; preprocessing the enhanced vegetation index (EVI); acquiring meteorological parameter data related to equivalent salt deposit density (ESDD) through a meteorological station, and preprocessing the meteorological parameter data; performing principal component analysis on the meteorological parameter data, the aerosol optical thickness (AOD) and the enhanced vegetation index (EVI); classifying the main variables by using an artificial neural network to obtain a dirty space prediction map; establishing an ESDD prediction model, inputting predicted quantized data which is a main variable, outputting a predicted value of ESDD, and evaluating the precision of the ESDD prediction model; and drawing a pollution space classification map according to the predicted value of the ESDD. Based on multi-source satellite remote sensing data, the pollution condition diagram is obtained by modeling the multi-source remote sensing data and the measured data.

Description

technical field [0001] The present application relates to the field of atmospheric remote sensing, in particular to a pollution monitoring method based on satellite remote sensing technology. Background technique [0002] With the rapid development of my country's economy and the acceleration of urbanization, the air pollution has intensified, causing serious pollution problems in my country's current substations and transmission lines. Large-scale pollution flashover events caused by insulator failure caused by power pollution are also becoming more and more frequent. [0003] In recent years, with the development of satellite remote sensing technology, aerosol optical depth (AOD) with high temporal resolution, spatial resolution and wide coverage can be obtained. AOD is one of the most important parameters of aerosol, which is a physical quantity used to characterize the degree of air pollution. When the AOD value of a certain area is higher, it means that the serious po...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/06G06F16/29G06K9/62G06N3/08
CPCG06Q10/04G06Q50/06G06F16/29G06N3/084G06F18/2135G06F18/24Y02A90/10
Inventor 周仿荣张辉高振宇彭庆军潘浩文刚洪志湖
Owner YUNNAN POWER GRID CO LTD ELECTRIC POWER RES INST
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