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.
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[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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