Ready-To-Use (RTU) Remote Sensing Products Zone II Versions ZH3 Vol 5 (4) 2020
A radiometric normalization dataset of Shandong Province based on Gaofen-1 WFV image (2018)
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: 2020 - 02 - 20
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Abstract & Keywords
Abstract: Surface reflectance is a key physical variable that affects the energy budget in land-atmosphere interactions, recognition and classification of surface features, 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 images to normalize GF-1 satellite WFV sensor cloud-free images of Shandong Province in 2018. Relative radiometric normalization processing includes atmospheric correction, image resampling, image registration, mask, extraction of no-change pixels and calculation of normalization coefficients. After relative radiometric normalization, the no-change pixels of each GF-1 WFV image and its reference image are as follows: R2 is above 0.7295, and RMSE is below 0.0172. In addition to that, the surface reflectance accuracy of GF-1 WFV image is improved, which can be used together 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 (
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<>
Sources of fundingStrategic Priority Research Program of the Chinese Academy of Sciences (XDA19090300); National Natural Science Foundation of China (61731022); National Key Research and Development Program of China (2016YFA0600302).
Dataset compositionThis dataset consists of GF-1 WFV radiometric normalization products in GeoTIFF format of Shandong Province in 2018, and image lists in .xlsx format. In addition, a data sample is provided to show how to extract no-change pixels.
Article and author information
Huang Liting
Jiao Weili
Long Tengfei
Publication records
Released: Feb. 22, 2020 ( VersionsZH2
Published: Dec. 30, 2020 ( VersionsZH3