Ready-To-Use (RTU) Remote Sensing Products Zone II Versions ZH3 Vol 5 (4) 2020
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Landsat surface temperature products over China
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: 2020 - 04 - 30
: 2020 - 10 - 29
: 2020 - 06 - 03
: 2020 - 12 - 30
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Abstract & Keywords
Abstract: Land surface temperature is an important land surface parameter, and is widely used in agriculture, forestry, ecology, global change and other fields. Satellite remote sensing technology provides an effective way to obtain large-scale surface temperature information. The thermal infrared band of Landsat data are characteristic of high spatial resolution and long-term data accumulation, which can provide an ideal data source for such studies as global changes that require long-term sequence data accumulation. Based on Landsat data and generalized single channel algorithm, we obtained the Landsat surface temperature products of long time series (1986-2019) over China. This dataset can provide data support for the research and application in related fields, such as resource survey, ecological environment monitoring, and global change research.
Keywords: land surface temperature; quantitative retrieval; Landsat satellite; China
Dataset Profile
TitleLandsat surface temperature products over China
Data corresponding authorHe Guojin (hegj@aircas.ac.cn)
Data authorsZhang Zhaoming, He Guojin, Peng Yan, Long Tengfei, Wang Mengmeng, Wei Mingyue
Time range1986–2019
Geographical scopeChina
Spatial resolution120/100/60 m
Data volume360 GB
Data format*.TIF
Data service system<http://databank.casearth.cn>
<http://www.sciencedb.cn/dataSet/handle/985>
Source of fundingStrategic Priority Research Program of the Chinese Academy of Sciences (XDA19090300); National Natural Science Foundation of China (61731022).
Dataset compositionThe dataset consists of the data file in TIFF format, quality attribute file (QA), and metadata file in XML format. The data are saved in different folders according to the image row number and acquisition time.
Article and author information
Zhang Zhaoming
主要承担工作:研究思路与研究方案设计,算法研究,论文撰写。
He Guojin
主要承担工作:总体指导,研究思路与研究方案设计。
hegj@radi.ac.cn
Peng Yan
主要承担工作:程序编写,产品生产。
Long Tengfei
主要承担工作:程序编写。
Wang Mengmeng
主要承担工作:算法研究,产品精度评价。
Wei Mingyue
主要承担工作:产品精度评价。
Publication records
Released: June 3, 2020 ( VersionsZH2
Published: Dec. 30, 2020 ( VersionsZH3
References
中国科学数据
csdata