Cross-Comparison of GF-1, GF-2 and Landsat-8 OLI Sensor Data

This paper aims at an analysis on the consistency of the top of atmosphere (TOA) reflectance among GF-1 PMS2, GF-2 PMS1 and Landsat-8 operational land imager(OLI) sensor data based on two synchronous image pairs. The result shows that TOA reflectance of GF-1 PMS2 and GF-2 PMS1 sensors has a high degree of agreement. Nevertheless, this paper also finds that TOA reflectance of either GF-1 PMS2 or GF-2 PMS1 data is less consistent with that of Landsat-8 OLI data, especially in the near-infrared band. In general, the rank of TOA reflectance in the blue, green and red bands of three sensors data is as follows:GF-2 PMS1 > GF-1 PMS2 > Landsat-8 OLI, while the relationship in the near-infrared band is:Landsat-8 OLI > GF-1 PMS2 > GF-2 PMS1. The coversion models among the three sensors data were obtained through regression analysis. The validation shows that the conversion equations can significantly reduce the difference in the near-infrared band among the three sensors. It is also found that when the image to be converted has similar land cover types and proportions with the image on which the conversion model was developed, the conversion accuracy can be improve.