Evaluating the Potential of GF-1 Pan multispectral Camera Imagery for Identifying the Quasi-circular Vegetation Patches in the Yellow River Delta, China

摘要

Gaofen-1 (GF-1) is the first high resolution optical imaging satellite of China primary civilian Earth observation projectunder the China High-resolution Earth Observation System. With the GF-1 trio launched on March 31, 2018, thecombined 3+1 GF-1 constellation will offer one-day revisit coverage, which provides more available high resolutionremote sensing images for monitoring decametric-scale vegetation patches and long-term pattern dynamics. In this study,a panchromatic image, the original multispectral image, and the pan-sharpened multispectral image from GF-1 PanmultispectralCamera was compared to evaluate their potential for identifying the quasi-circular vegetation patches(QVPs) in the Yellow River Delta, China. The results showed that high spatial resolution was more important foridentifying the QVPs than more additional spectral bands of GF-1, and the pan-sharpened multispectral image had thehighest identification accuracy of the QVPs (F-measure is 64.6%). In the future, multi-temporal pan-sharpened GF-1images should be used to obtain higher accuracy, which is basis for studying vegetation patch pattern dynamics.