Abstract
The accuracy of atmospheric correction is a key factor affecting the quantitative application of GF-2 satellite. Due to the lack of short-wave infrared band in GF-2, it is impossible to use method of dark pixel for atmospheric correction. Therefore, a method of atmospheric correction coefficient lookup table (LUT) based on 6S (Second Simulation of the Satellite Signal in the Solar Spectrum) radiation transfer model and aerosol optical thickness (AOT) parameters retrieved from MODIS data is proposed, and the atmospheric correction of GF-2 satellite multispectral data is carried out. Dunhuang radiation correction field with flat and uniform surface is selected as the experimental area. The accuracy of the correction results is evaluated by synchronous measured data, and the normalized vegetation index NDVI before and after atmospheric correction is compared. The results show that the minimum relative error is only 0.9%. The image data after atmospheric correction can more truly reflect the reflection characteristics of ground objects. NDVI after atmospheric correction greatly enhances the contrast of vegetation information and highlights the ability of vegetation information discrimination of GF-2 satellite sensor.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: IOP Conference Series: Materials Science and Engineering
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
