Ready-To-Use (RTU) Remote Sensing Products Zone II Versions ZH3 Vol 5 (4) 2020
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Landsat surface reflectance products over China
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: 2020 - 04 - 30
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Abstract & Keywords
Abstract: Landsat satellite remote sensing data of long-time series have been used to record human activities and natural changes for a long time. And the surface reflectance products of Landsat series data have be widely applied to the long-time series information mining and analysis in many fields, such as forest monitoring, water resource management, and climate change study. By using atmospheric correction methods based on the 6S radiative transfer model, we produced the high-quality surface reflectance products over China from the1980s to the year of 2019, which are ready to use (RTU) for remote sensing researchers and application users. The processing steps for the products include radiometric calibration, model input parameter acquisition and atmospheric correction, etc. The products are saved as a format of GeoTIFF with 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@radi.ac.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
Published: Dec. 29, 2020 ( VersionsZH3
References
中国科学数据
csdata