Next Article in Journal
Using NDVI and EVI to Map Spatiotemporal Variation in the Biomass and Quality of Forage for Migratory Elk in the Greater Yellowstone Ecosystem
Previous Article in Journal
A Spatio-Temporal Model for Forest Fire Detection Using HJ-IRS Satellite Data
Article Menu

Export Article

Open AccessArticle
Remote Sens. 2016, 8(5), 405; doi:10.3390/rs8050405

First in-Flight Radiometric Calibration of MUX and WFI on-Board CBERS-4

1
Division of Remote Sensing, National Institute for Space Research—INPE, 12227-010 São José dos Campos, Brazil
2
Division of Geointelligence (EGI), Institute for Advanced Studies—IEAv/CTA, 12231-970 São José dos Campos, Brazil
3
Division of Mathematics and Physics, Universidade de Taubaté—UNITAU, 12201-970 Taubaté, Brazil
4
Office of Engineering Research, College of Engineering, South Dakota State University, Brookings, SD 57007, USA
*
Author to whom correspondence should be addressed.
Academic Editors: Richard Müller and Prasad S. Thenkabail
Received: 3 February 2016 / Revised: 5 April 2016 / Accepted: 5 May 2016 / Published: 11 May 2016
View Full-Text   |   Download PDF [4225 KB, uploaded 11 May 2016]   |  

Abstract

Brazil and China have a long-term joint space based sensor program called China-Brazil Earth Resources Satellite (CBERS). The most recent satellite of this program (CBERS-4) was successfully launched on 7 December 2014. This work describes a complete procedure, along with the associated uncertainties, used to calculate the in-flight absolute calibration coefficients for the sensors Multispectral Camera (MUX) and Wide-Field Imager (WFI) on-board CBERS-4. Two absolute radiometric calibration techniques were applied: (i) reflectance-based approach and (ii) cross-calibration method. A specific site at Algodones Dunes region located in the southwestern portion of the United States of America was used as a reference surface. Radiometric ground and atmospheric measurements were carried out on 9 March 2015, when CBERS-4 passed over the region. In addition, a cross-calibration between both MUX and WFI on-board CBERS-4 and the Operational Land Imager (OLI) on-board Landsat-8 was performed using the Libya-4 Pseudo Invariant Calibration Site. The gain coefficients are now available: 1.68, 1.62, 1.59 and 1.42 for MUX and 0.379, 0.498, 0.360 and 0.351 for WFI spectral bands blue, green, red and NIR, respectively, in units of (W/(m2·sr·μm))/DN. These coefficients were determined with uncertainties lower than 3.5%. As a validation of these radiometric coefficients, cross-calibration was also undertaken. An evaluation of radiometric consistency was performed between the two instruments (MUX and WFI) on-board CBERS-4 and with the well calibrated Landsat-7 ETM+. Results show that the reflectance values match in all the analogous spectral bands within the specified calibration uncertainties. View Full-Text
Keywords: absolute calibration; CBERS-4; cross-calibration; Landsat; radiometric calibration; reflectance-based absolute calibration; CBERS-4; cross-calibration; Landsat; radiometric calibration; reflectance-based
Figures

Figure 1

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

Pinto, C.; Ponzoni, F.; Castro, R.; Leigh, L.; Mishra, N.; Aaron, D.; Helder, D. First in-Flight Radiometric Calibration of MUX and WFI on-Board CBERS-4. Remote Sens. 2016, 8, 405.

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