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Data · dataset · 2020

A radiometric normalization dataset of Shandong Province based on Gaofen-1 WFV image (2018)

Listed in ScienceDB

Surface reflectance is a critical physical variable that affects the energy budget in land-atmosphere interactions, feature recognition and classification, and climate change research.

Description

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.

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This dataset is in GeoTIFF format, and the spatial resolution of the image is 16 m.

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Where it is published

Catalogue records · 1

Topics

Inferred from text
Geothermics and radiometrics 77% · Image 75% · Satellite remote sensing 65%
Provenance · 1 source records, 13 field assertions
SourceKeyLast seenRaw
ScienceDB10.11922/sciencedb.94710 d agoJSON v1
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