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

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

论文摘要

Gaofen-1(GF-1) is the first high resolution optical imaging satellite of China primary civilian Earth observation project under the China High-resolution Earth Observation System.With the GF-1 trio launched on March 31,2018,the combined 3+1 GF-1 constellation will offer one-day revisit coverage,which provides more available high resolution remote 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 Panmultispectral Camera 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 for identifying the QVPs than more additional spectral bands of GF-1,and the pan-sharpened multispectral image had the highest identification accuracy of the QVPs(F-measure is 64.6%).In the future,multi-temporal pan-sharpened GF-1 images should be used to obtain higher accuracy,which is basis for studying vegetation patch pattern dynamics.

论文目录

文章来源

类型: 国际会议

作者: Qingsheng Liu

来源: 2019第十一届数字图像处理国际会议 2019-05-10

年度: 2019

分类: 基础科学,工程科技Ⅱ辑,信息科技

专业: 生物学,工业通用技术及设备,自动化技术

单位: State Key of Resources and Environmental Information System,Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences

分类号: Q948.1;TP751

DOI: 10.26914/c.cnkihy.2019.007590

页码: 235-240

总页数: 6

文件大小: 824k

下载量: 2

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