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A Time-Series MODIS Quantitative Remote Sensing Product Time-Space Restoration and Batch Processing Implementation Method

A technology for remote sensing products and implementation methods, applied in special data processing applications, design optimization/simulation, calculations, etc., can solve problems such as low quality of null values, restricting the normal use of products and long-term applications.

Active Publication Date: 2022-04-05
ANHUI UNIVERSITY
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] Aiming at the deficiencies of the prior art, the present invention provides a time-series MODIS quantitative remote sensing product space-time repair and batch processing implementation method, which is used to solve the problem that existing released MODIS products often have invalid values ​​such as null values ​​or low quality, which greatly limits the Problems such as normal use and long-sequence application of the product; the present invention is realized through the following technical solutions:

Method used

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  • A Time-Series MODIS Quantitative Remote Sensing Product Time-Space Restoration and Batch Processing Implementation Method
  • A Time-Series MODIS Quantitative Remote Sensing Product Time-Space Restoration and Batch Processing Implementation Method
  • A Time-Series MODIS Quantitative Remote Sensing Product Time-Space Restoration and Batch Processing Implementation Method

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Embodiment

[0042] A time-series MODIS quantitative remote sensing product space-time repair and batch processing implementation method, MODIS quantitative remote sensing products have invalid data such as null or low quality due to cloud pollution and other reasons, set a certain scene data T in the time-series MODIS product 0 If there is an invalid pixel area (data to be repaired), the auxiliary data with complementary information of this area can be found in the time series, by establishing the data to be repaired and the auxiliary data (T x or T y ) The weighted linear regression relationship of common effective pixels can repair invalid data images to obtain spatially continuous high-quality MODIS remote sensing products.

[0043] like figure 1 Shown:

[0044] ①: MODIS data preprocessing

[0045] Perform necessary preprocessing on time series MODIS remote sensing products, including target data extraction and invalid pixel marking.

[0046] According to the type of restoration pr...

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Abstract

The invention relates to the technical field of quantitative remote sensing product processing, and discloses a time-series MODIS quantitative remote sensing product time-space repair and a batch processing implementation method thereof. By streamlining the time-series MODIS quantitative remote sensing product time-space repair process, MODIS quantitative remote sensing product null value or low-quality data is realized The batch processing of restoration can obtain spatially continuous high-quality MODIS quantitative remote sensing products; moreover, the batch processing has high computational efficiency, is easy to implement, and has high practical value, which can be used for commercial operation of MODIS quantitative remote sensing product quality improvement.

Description

technical field [0001] The invention relates to the technical field of quantitative remote sensing product processing, in particular to a time-series MODIS quantitative remote sensing product time-space restoration and batch processing implementation method. Background technique [0002] MODIS quantitative remote sensing products play an important role in global earth observation. However, due to adverse weather effects such as clouds and aerosols, existing MODIS products often have invalid values ​​such as null values ​​or low quality, which greatly limits the normal operation of this product. Use with long-sequence applications. Therefore, on the basis of existing MODIS products, it has become a very important subject to use technical means to repair invalid data necessary. Invalid data repair methods in commonly used remote sensing products can be divided into two types based on single-view data repair and multi-view data repair. Among them, restoration methods based on...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F30/20G06F119/12
CPCG06F2119/12G06F30/20
Inventor 吴鹏海朱娴飞吕永辉宋旭颖陆雨婷马晓双吴艳兰
Owner ANHUI UNIVERSITY
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