Next Article in Journal
Enhancing Noah Land Surface Model Prediction Skill over Indian Subcontinent by Assimilating SMOPS Blended Soil Moisture
Previous Article in Journal
The Modified SEBAL for Mapping Daily Spatial Evapotranspiration of South Korea Using Three Flux Towers and Terra MODIS Data
Previous Article in Special Issue
Retrieval of Leaf Area Index (LAI) and Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) from VIIRS Time-Series Data
Article Menu

Export Article

Open AccessArticle
Remote Sens. 2016, 8(12), 984; doi:10.3390/rs8120984

Using Ground Targets to Validate S-NPP VIIRS Day-Night Band Calibration

1
Science Systems and Applications Incorporation, Lanham, MD 20706, USA
2
NASA Goddard Space Flight Center, Greenbelt, MD 20661, USA
*
Author to whom correspondence should be addressed.
Academic Editors: Changyong Cao, Jose Moreno, Xiaofeng Li and Prasad S. Thenkabail
Received: 29 June 2016 / Revised: 15 November 2016 / Accepted: 22 November 2016 / Published: 30 November 2016
(This article belongs to the Collection Visible Infrared Imaging Radiometers and Applications)
View Full-Text   |   Download PDF [2332 KB, uploaded 30 November 2016]   |  

Abstract

In this study, the observations from S-NPP VIIRS Day-Night band (DNB) and Moderate resolution bands (M bands) of Libya 4 and Dome C over the first four years of the mission are used to assess the DNB low gain calibration stability. The Sensor Data Records produced by NASA Land Product Evaluation and Algorithm Testing Element (PEATE) are acquired from nearly nadir overpasses for Libya 4 desert and Dome C snow surfaces. A kernel-driven bidirectional reflectance distribution function (BRDF) correction model is used for both Libya 4 and Dome C sites to correct the surface BRDF influence. At both sites, the simulated top-of-atmosphere (TOA) DNB reflectances based on SCIAMACHY spectral data are compared with Land PEATE TOA reflectances based on modulated Relative Spectral Response (RSR). In the Libya 4 site, the results indicate a decrease of 1.03% in Land PEATE TOA reflectance and a decrease of 1.01% in SCIAMACHY derived TOA reflectance over the period from April 2012 to January 2016. In the Dome C site, the decreases are 0.29% and 0.14%, respectively. The consistency between SCIAMACHY and Land PEATE data trends is good. The small difference between SCIAMACHY and Land PEATE derived TOA reflectances could be caused by changes in the surface targets, atmosphere status, and on-orbit calibration. The reflectances and radiances of Land PEATE DNB are also compared with matching M bands and the integral M bands based on M4, M5, and M7. The fitting trends of the DNB to integral M bands ratios indicate a 0.75% decrease at the Libya 4 site and a 1.89% decrease at the Dome C site. Part of the difference is due to an insufficient number of sampled bands available within the DNB wavelength range. The above results indicate that the Land PEATE VIIRS DNB product is accurate and stable. The methods used in this study can be used on other satellite instruments to provide quantitative assessments for calibration stability. View Full-Text
Keywords: VIIRS; SCIAMACHY; Day-Night Band; M bands; calibration; radiance; reflectance; RSR; BRDF; Libya 4; Dome C VIIRS; SCIAMACHY; Day-Night Band; M bands; calibration; radiance; reflectance; RSR; BRDF; Libya 4; Dome C
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.; Wu, A.; Xiong, X.; Lei, N.; Wang, Z.; Chiang, K. Using Ground Targets to Validate S-NPP VIIRS Day-Night Band Calibration. Remote Sens. 2016, 8, 984.

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