Sentinel-2A卫星数据处理分析及在干旱河谷提取中的应用

doi:10.6046/gtzyyg.2018.03.18

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摘要

哨兵2A(Sentinel-2A)作为一颗新型光学遥感卫星,具有大宽幅、多光谱、高时空分辨率与免费共享等优点,已广为光学遥感应用领域关注。选取欧空局提供的Sentinel-2A遥感卫星数据,以四川省黑水河流域部分区域为研究区,通过对Sentinel-2A数据参数、组织形式、产品等级与格式分析,利用SNAP软件中sen2cor处理模块将L1C级别数据转换成L2A级别数据,分别获取研究区气溶胶厚度分布图、水汽分布图、场景分类图及植被生物量因子数据图层; 通过对生物物理量因子分析,利用研究区叶绿素含量生物量因子和数字高程模型,结合专家决策分类法提取出研究区内干旱河谷分布面积。研究结果表明,Sentinel-2A遥感卫星数据质量较好,丰富了遥感技术应用领域,其L2A级别数据将会对全球生态植被环境变化的监测与评价产生积极的应用价值。

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	杨斌
	李丹
	高桂胜
	陈财
	王磊

关键词 ：哨兵2A, 植被生物量, 大气校正, 干旱河谷, 欧空局

Abstract：

As a new optical remote sensing satellite, Sentinel-2A has become a hot spot in optical remote sensing applications because it has wide bandwidth, multi-spectrum, high spatial-temporal resolution and free sharing. In this study, we chose Heishui River basin as the study area and selected Sentinel-2A satellite data from European Space Agency. The authors obtained aerosol optical data, water vapor data, scene classification data and biomass factor data through analysis of data arguments, organization form, product grade and data format by using the sen2cor processing module of SNAP. The distribution areas of arid valley in the study area were extracted by using the vegetation ecological index data and digital elevation model, combined with the expert decision classification method with the analyses of biophysical index data. The result shows that Sentinel-2A satellite data have good quality in that they enrich the application field of remote sensing technology greatly. L2A level data have more positive application value for the monitoring and evaluation of global ecological vegetation environment change.

Key words： Sentinel-2A vegetation biophysical index atmospheric correction dry valleys European Space Agency

收稿日期: 2016-11-19 出版日期: 2018-09-10

TP79

基金资助:国家自然科学基金项目“岷江上游干旱河谷区梯级水电开发对生态环境波动效应研究”(41201541);四川省教育厅青藏高原经济社会与文化发展研究中心项目“青藏高原东部多元民族文化空间格局演化特征研究——以岷江上游为例”(14sd0163);西南科技大学龙山学术人才科研支持计划青年学者研究项目(17LZX617)

作者简介: 杨斌(1979-),男,博士,教授,硕士生导师,主要从事空间信息技术集成应用研究。Email: xjgis@126.com。

引用本文:

杨斌, 李丹, 高桂胜, 陈财, 王磊. Sentinel-2A卫星数据处理分析及在干旱河谷提取中的应用[J]. 国土资源遥感, 2018, 30(3): 128-135.
Bin YANG, Dan LI, Guisheng GAO, Cai CHEN, Lei WANG. Processing analysis of Sentinel-2A data and application to arid valleys extraction. Remote Sensing for Land & Resources, 2018, 30(3): 128-135.

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https://www.gtzyyg.com/CN/10.6046/gtzyyg.2018.03.18 或 https://www.gtzyyg.com/CN/Y2018/V30/I3/128

Tab.1 2种卫星数据主要参数对比

Fig.1 Sentinel-2A卫星数据波段分布

Tab.2 L1C级别数据说明

Fig.2 研究区Sentinel-2A数据范围及其遥感影像

Fig.3 研究区L2A级别数据及相关信息分布

Tab.3 研究区影像L2A级别数据各波段基本特征统计值

Fig.4 典型地物光谱特征分析

Fig.5 研究区植被生物量因子数据分布

Tab.4 各植被生物量图像特征分析

Fig.6 决策树分类流程

Fig.7 干旱河谷提取分布

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