Ready-To-Use (RTU) Remote Sensing Products Zone I Versions ZH2
Download
Landsat surface reflectance products over China
Dataset URL >>
: 2020 - 04 - 30
: 2020 - 06 - 01
: 2020 - 06 - 01
939 5 0
Abstract & Keywords
Abstract: Landsat satellite remote sensing datasets have been recording the human activities and natural changes since 1970s. And the long-term surface reflectance products of Landsat series data have a wide range of applications like forest monitoring, water resources management, and climate change research. By using the 6S radiative transfer model based atmospheric correction methods,high-quality surface reflectance products over China have been produced from 1980s to 2019, which are Ready To Use (RTU) for researchers and remote sensing application users. The processing steps for such kind of products included radiometric calibration, model input parameter acquisition and atmospheric correction. The products were stored as a format of Geotiff with a corresponding quality assessment files (QA), and metadata files.
Keywords: Landsat 5/7/8; atmospheric correction; 6s model; surface reflectance
Dataset Profile
TitleLandsat surface reflectance products over China
Data corresponding authorHe Guojin (hegj@mail.cn)
Data authorsPeng Yan, He Guojin, Zhang Zhaoming, Yin Ranyu
Time range1980s–2019
Geographical scopeChina
Spatial resolution30 m
Data volume50 TB
Data format*.tiff (GeoTIFF, 16bit interger)
Data service system<http://databank.casearth.cn>
<http://www.sciencedb.cn/dataSet/handle/984>
Sources of fundingStrategic Priority Research Program of the Chinese Academy of Sciences (XDA19090300); National Natural Science Foundation of China (61731022).
Database compositionThe dataset consists of 147,970 surface reflectance products, which are stored in folders based on imageries. Each folder includes surface reflectance results of each band, QA files, thumbnails and metadata files.
Article and author information
Peng Yan
主要承担工作:算法集成程序编写,数据生产流程设计,论文撰写。
He Guojin
主要承担工作:总体思路与方案设计,论文修改。
hegj@radi.ac.cn
Zhang Zhaoming
主要承担工作:技术指导,论文修改。
Yin Ranyu
主要承担工作:数据挑选与整合。
Publication records
Released: June 1, 2020 ( VersionsZH2
References
中国科学数据
csdata