Next Article in Journal
Using Space-Time Features to Improve Detection of Forest Disturbances from Landsat Time Series
Previous Article in Journal
Independent System Calibration of Sentinel-1B
Article Menu
Issue 6 (June) cover image

Export Article

Open AccessArticle
Remote Sens. 2017, 9(6), 513; doi:10.3390/rs9060513

In-Flight Calibration of GF-1/WFV Visible Channels Using Rayleigh Scattering

1
State Environmental Protection Key Laboratory of Satellite Remote Sensing Applications, State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Science, Beijing 100101, China
2
Key Laboratory of Optical Calibration and Characterization, Chinese Academy of Sciences, Hefei 230031, China
3
Earth Observation Program Center, China National Space Administration, Beijing 100101, China
4
China Centre for Resources Satellite Data and Application, Beijing 100094, China
5
College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100190, China
*
Authors to whom correspondence should be addressed.
Academic Editors: Alexander A. Kokhanovsky and Prasad Thenkabail
Received: 8 January 2017 / Revised: 11 May 2017 / Accepted: 19 May 2017 / Published: 23 May 2017
View Full-Text   |   Download PDF [3642 KB, uploaded 23 May 2017]   |  

Abstract

China is planning to launch more and more optical remote-sensing satellites with high spatial resolution and multistep gains. Field calibration, the current operational method of satellite in-flight radiometric calibration, still does not have enough capacity to meet these demands. Gaofen-1 (GF-1), as the first satellite of the Chinese High-resolution Earth Observation System, has been specially arranged to obtain 22 images over clean ocean areas using the Wide Field Viewing camera. Following this, Rayleigh scattering calibration was carried out for the visible channels with these images after the appropriate data processing steps. To guarantee a high calibration precision, uncertainty was analyzed in advance taking into account ozone, aerosol optical depth (AOD), seawater salinity, chlorophyll concentration, wind speed and solar zenith angle. AOD and wind speed were found to be the biggest error sources, which were also closely coupled to the solar zenith angle. Therefore, the best sample data for Rayleigh scattering calibration were selected at the following solar zenith angle of 19–22° and wind speed of 5–13 m/s to reduce the reflection contributed by the water surface. The total Rayleigh scattering calibration uncertainties of visible bands are 2.44% (blue), 3.86% (green), and 4.63% (red) respectively. Compared with the recent field calibration results, the errors are −1.69% (blue), 1.83% (green), and −0.79% (red). Therefore, the Rayleigh scattering calibration can become an operational in-flight calibration method for the high spatial resolution satellites. View Full-Text
Keywords: Rayleigh scattering; Gaofen-1 satellite (GF-1); absolute radiometric calibration; uncertainty analysis Rayleigh scattering; Gaofen-1 satellite (GF-1); absolute radiometric calibration; uncertainty analysis
Figures

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Chen, X.; Xing, J.; Liu, L.; Li, Z.; Mei, X.; Fu, Q.; Xie, Y.; Ge, B.; Li, K.; Xu, H. In-Flight Calibration of GF-1/WFV Visible Channels Using Rayleigh Scattering. Remote Sens. 2017, 9, 513.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Remote Sens. EISSN 2072-4292 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top