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Surface temperature downscaling method based on adaptive threshold value

An adaptive threshold, surface temperature technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems such as low spatial resolution, inability to apply urban ecological environment research, etc., to expand the depth and breadth, good Availability, effect of improving accuracy and efficiency

Active Publication Date: 2017-12-01
HOHAI UNIV
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Problems solved by technology

Extend the downscaling method to urban areas with complex and diverse land cover types, and effectively solve the problem that the current remote sensing surface temperature products have low spatial resolution and cannot be applied to the study of urban ecological environment

Method used

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  • Surface temperature downscaling method based on adaptive threshold value
  • Surface temperature downscaling method based on adaptive threshold value
  • Surface temperature downscaling method based on adaptive threshold value

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Embodiment Construction

[0028] The technical solution of the present invention will be further explained below in conjunction with the drawings.

[0029] Such as figure 1 As shown, the present invention provides a method for downscaling the surface temperature based on an adaptive threshold, which specifically includes the following steps:

[0030] Step 1: Obtain remote sensing data and preprocess. Acquire thermal infrared remote sensing images and multispectral remote sensing images within the study area, and perform preprocessing. The preprocessing used mainly includes image correction, resampling, cropping and other operations. Correct the multi-spectral and thermal infrared images of remote sensing images, and resample the multi-spectral remote sensing images to the same resolution as the thermal infrared remote sensing images, and uniformly crop them to the same research area.

[0031] Step 2: Retrieve the surface temperature and extract downscaling factors. The multi-spectral image and the thermal ...

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Abstract

The invention discloses a surface temperature downscaling method based on an adaptive threshold value. According to the method, multiple factors highly correlated with surface temperature are mainly used as downscaling factors; and a mobile window method is adopted to obtain an optimal threshold value of the downscaling factors participating in downscaling model fitting through downscaling evaluation indicators. In this way, irrelevant scale factors in a mobile window can be eliminated, scale factors highly matched with a land coverage type are selected adaptively to participate in downscaling calculation, therefore, the method has good applicability in a region with a complicated land coverage type, the precision and efficiency of surface temperature downscaling are improved, and the depth and breadth of a thermal infrared image in urban region application are expanded.

Description

Technical field [0001] The present invention belongs to the field of downscaling, and in particular relates to a method for downscaling of ground surface temperature based on an adaptive threshold. Background technique [0002] Land Surface Temperature (LST) is an important parameter that characterizes the energy balance of the earth's surface, and is a key factor for studying the biophysical and chemical processes of the earth's surface. At present, there are two main methods to obtain LST: observation data from ground weather stations and thermal infrared remote sensing data. The observation data of the weather station has high accuracy and can be continuously monitored throughout the day, but the coverage area is small and it is not easy to be used for large-scale temperature mapping. The use of thermal infrared remote sensing technology can obtain a large range of LST, and can well describe the spatial difference and diversity of LST. With the development of cities, ecologi...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/00
CPCG16Z99/00
Inventor 潘鑫杨英宝李小龙章勇曹晨徐佳
Owner HOHAI UNIV
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