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

  • METHODS AND TOOLS FOR PROCESSING AND INTERPRETATION OF SPACE INFORMATION
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Abstract

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).

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Funding

The reported study was funded by RFBR, MOST (China) and DST (India) according to the research project no. 19-55-80021.

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  1. AEROCOSMOS Research Institute for Aerospace Monitoring, Moscow, Russia

    E. V. Cherepanova & N. V. Feoktistova

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  1. E. V. Cherepanova
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  2. N. V. Feoktistova
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Correspondence to E. V. Cherepanova.

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Cherepanova, E.V., Feoktistova, N.V. Cross-sensor Comparison of Satellite Products Sentinel-2 and Gaofen-1B/C for Northern Taiga Forests. Izv. Atmos. Ocean. Phys. 58, 1652–1663 (2022). https://doi.org/10.1134/S000143382212009X

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