Cross-sensor Comparison of Satellite Products Sentinel-2 and Gaofen-1B/C for Northern Taiga Forests

This study presents the results of the validation of information products on surface reflectance and NDVI, taking into account land cover types, obtained from satellite data of the Chinese PMS GF-1 sensor and the reference data of the European sensor MSI Sentinel-2 (ESA) using image cross validation...

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Bibliographic Details
Published in:Izvestiya. Atmospheric and oceanic physics 2022-12, Vol.58 (12), p.1652-1663
Main Authors: Cherepanova, E. V., Feoktistova, N. V.
Format: Article
Language:English
Subjects:
Climatology
Coefficients
Earth and Environmental Science
Earth Sciences
Geophysics/Geodesy
Land cover
Methods and Tools for Processing and Interpretation of Space Information
Reflectance
Regression coefficients
Reliability analysis
Satellite data
Satellites
Sensors
Taiga
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Summary:This study presents the results of the validation of information products on surface reflectance and NDVI, taking into account land cover types, obtained from satellite data of the Chinese PMS GF-1 sensor and the reference data of the European sensor MSI Sentinel-2 (ESA) using image cross validation method. Based on the analysis, a high correlation of the target GF-1 information products and reference Sentinel-2 information products was revealed. The resulting regression coefficients can be used with a high degree of reliability when conducting a complex analysis of satellite data to recalculate the values obtained by the PMS sensor into the corresponding values of the MSI sensor, taking into account the camera of a specific satellite (GF-1C or GF-1B).
ISSN:0001-4338
1555-628X
DOI:10.1134/S000143382212009X