数据论文 最新来稿(未评审) · 版本 ZH1
基于“高分1号卫星”数据的土地利用数据集
A data set of landuse in China based on “Gaofen-1 Satellite” observations
: 2017 - 12 - 02
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摘要&关键字
摘要:“高分1号卫星”是国家高分辨率对地观测系统重大专项发射的首颗星,于2013年4月升空。目前可以稳定获取数据,并开展了大量的研究。“高分1号卫星”数据主要应用于国土、农业和环境等部门。“高分1号卫星”数据全色分辨率是2 m,多光谱分辨率为8 m,同时也有16 m分辨率的多光谱数据,解决了高空间分辨率、高时间分辨率、多光谱与宽覆盖相结合的光学遥感等关键技术,是国内较好的数据源。中国农业科学院农业资源与农业区划研究所作为农业部门的主要应用单位,可以免费、实时获取相关数据,并开展研究。在对“高分1号卫星”数据进行大气和辐射纠正,对图像进行融合、几何纠正和投影转换后,对数据进行遥感解译,按照国土资源部颁布的土地利用现状分类标准进行各类土地的分类和汇总统计。目前初步完成了16个省的2016~2017年数据分类和提取,形成了分类图和基于行政区的各类土地面积统计数据。本套数据与中国科学院地理科学与资源研究所发布的基于MODIS数据相比,具有分辨率高和现时性强的特征,可以更好地为各类管理和研究部门服务。
关键字:高分卫星;遥感解译;土地利用;数据共享
Abstract & Keywords
Abstract: Launched in April 2013, “Gaofen-1 Satellite” is the first high-resolution earth observation system. Its data are mainly used now in the fields of land, agriculture and environment. “Gaofeng-1” produces data of three different resolutions including panchromatic data (2 m), spectral data (8 m and 16 m). As the main application unit of the agricultural sector, the Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences has real-time access to relevant data for free. After the atmospheric and radiation correction, geometric correction and projection transformation, data are interpreted based on “Landuse Status and Classification Standards (GB-T21010-2015)” issued by the Ministry of Land and Resources, where land classification and summary statistics can be obtained through image analysis. To date, landuse extraction and classification (2016 – 2017) has been preliminarily completed for 16 provinces, which has formed a landuse map and landuse statistics based on the administrative region. Compared with the MODIS-derived landuse data obtained by the Institute of Geographic Science and Resources, Chinese Academy of Sciences, this data set has a higher resolution and a timely characteristic, and it can provide better service for administrative and research units.
Keywords: high-resolution satellite; remote sensing interpretation; landuse; data sharing
稿件与作者信息
邹金秋
Zou Jinqiu
zoujinqiu@caas.cn
陈佑启
Chen Youqi
出版历史
参考文献列表中查看
中国科学数据
csdata
技术支持:印刻学术