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A radiometric normalization dataset of Shandong Province based on Gaofen-1 WFV image (2018)
Dataset URL >>
: 2020 - 02 - 20
: 2020 - 02 - 22
: 2020 - 02 - 22
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Abstract & Keywords
Abstract: Surface reflectance is a critical physical variable that affects the energy budget in land-atmosphere interactions, feature recognition and classification, and climate change research. This dataset uses the relative radiometric normalization method, and takes the Landsat-8 Operational Land Imager (OLI) surface reflectance products as the reference image to normalize the GF-1 satellite WFV sensor cloud-free images of Shandong Province in 2018. Relative radiometric normalization processing mainly includes atmospheric correction, image resampling, image registration, mask, extract the no-change pixels and calculate normalization coefficients. After relative radiometric normalization, the no-change pixels of each GF-1 WFV image and its reference image, R2 is 0.7295 above, RMSE is below 0.0172. The surface reflectance accuracy of GF-1 WFV image is improved, which can be used in cooperation with Landsat data to provide data support for remote sensing quantitative inversion. This dataset is in GeoTIFF format, and the spatial resolution of the image is 16 m.
Keywords: GF-1 WFV; Shandong Province; surface reflectance; relative radiometric normalization; no-change pixels
Dataset Profile
TitleA radiometric normalization dataset of Shandong Province based on Gaofen-1 WFV image (2018)
Data corresponding authorJiao Weili (jiaowl@aircas.ac.cn)
Data authorsHuang Liting, Jiao Weili, Long Tengfei
Time range2018
Geographical scopeShandong Province (34°22.9′N–38°24.01′N, 114°47.5′E–122°42.3′E)
Spatial resolution16 m
Data volume35.5 GB
Data format*.tif (GeoTIFF, 16-bit unsigned integer)
Data service system<http://www.sciencedb.cn/dataSet/handle/947>
<ftp://bigrs-info.com/shandongGF-1/>
Sources of fundingStrategic Priority Research Program of the Chinese Academy of Sciences (XDA19090300); National Key Research and Development Program of China (2016YFA0600302); National Natural Science Foundation of China (61731022).
Dataset compositionThis dataset covers two parts of data, including GF-1 WFV radiometric normalization product in GeoTIFF format of Shandong Province in 2018, and image lists in .xlsx format. In addition, a data sample is provided to show the no-change pixels extraction.
Article and author information
Huang Liting
主要承担工作:数据挑选,算法编写,论文撰写。
Jiao Weili
主要承担工作:总体思路与方案设计,论文修改。
jiaowl@aircas.ac.cn
Long Tengfei
主要承担工作:方案设计和技术指导,论文修改。
Publication records
Released: Feb. 22, 2020 ( VersionsZH2
References
中国科学数据
csdata