Next Article in Journal
Automated Sensing of Wave Inundation across a Rocky Shore Platform Using a Low-Cost Camera System
Next Article in Special Issue
Estimation of Penetration Depth from Soil Effective Temperature in Microwave Radiometry
Previous Article in Journal
An Approach to Improve the Positioning Performance of GPS/INS/UWB Integrated System with Two-Step Filter
Previous Article in Special Issue
Validation and Calibration of QAA Algorithm for CDOM Absorption Retrieval in the Changjiang (Yangtze) Estuarine and Coastal Waters
Article Menu
Issue 1 (January) cover image

Export Article

Open AccessArticle
Remote Sens. 2018, 10(1), 21; https://doi.org/10.3390/rs10010021

The VIS/NIR Land and Snow BRDF Atlas for RTTOV: Comparison between MODIS MCD43C1 C5 and C6

1
Météo-France, CMS, Lannion F-22300, France
2
Météo-France—CNRS, CNRM, UMR 3589, CEN, Saint Martin d’Hères F-38400, France
3
MetOffice, Exeter EX1 3PB, UK
*
Author to whom correspondence should be addressed.
Received: 27 November 2017 / Revised: 20 December 2017 / Accepted: 21 December 2017 / Published: 23 December 2017
View Full-Text   |   Download PDF [2239 KB, uploaded 27 December 2017]   |  

Abstract

A monthly mean land and snow Bidirectional Reflectance Distribution Function (BRDF) atlas for visible and near infrared parts of the spectrum has been developed for Radiative Transfer for Television Infrared Observation Satellite (TIROS) Operational Vertical sounder (TOVS) (RTTOV). The atlas follows the methodology of the RTTOV University of Wisconsin infrared land surface emissivity (UWIREMIS) atlas, i.e., it combines satellite retrievals and a principal component analysis on a dataset of hyper-spectral surface hemispherical reflectance or albedo. The current version of the BRDF atlas is based on the Collection 5 of the Moderate Resolution Imaging (MODIS) MCD43C1 Climate Modeling Grid BRDF kernel-driven model parameters product. The MCD43C1 product combines both Terra and Aqua satellites over a 16-day period of acquisition and is provided globally at 0.05° of spatial resolution. We have improved the RTTOV land surface BRDF atlas by using the last Collection 6 of MODIS product MCD43C1. We firstly found that the MODIS C6 product improved the quality index of the BRDF model as compared with that of C5. When compared with clear-sky top of atmosphere (TOA) reflectance of Spinning Enhanced Visible and InfraRed Imagers (SEVIRI) solar channels over snow-free land surfaces, we showed that the reflectances are simulated with an absolute accuracy of 3% to 5% (i.e., 0.03–0.05 in reflectance units) when either the satellite zenith angle or the solar zenith angle is below 70°, regardless of the MODIS collection. For snow-covered surfaces, we showed that the comparison with in situ snow spectral albedo is improved with C6 with an underestimation of 0.05 in the near infrared. View Full-Text
Keywords: BRDF; RTTOV; MODIS; MCD43C1 BRDF; RTTOV; MODIS; MCD43C1
Figures

Graphical abstract

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

Share & Cite This Article

MDPI and ACS Style

Vidot, J.; Brunel, P.; Dumont, M.; Carmagnola, C.; Hocking, J. The VIS/NIR Land and Snow BRDF Atlas for RTTOV: Comparison between MODIS MCD43C1 C5 and C6. Remote Sens. 2018, 10, 21.

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