Next Article in Journal
A Compressed and High-Accuracy Star Tracker with On-Orbit Deployable Baffle for Remote Sensing CubeSats
Previous Article in Journal
An Efficient Multi-Sensor Remote Sensing Image Clustering in Urban Areas via Boosted Convolutional Autoencoder (BCAE)
Communication

Assessment of the Reprocessed Suomi NPP VIIRS Enterprise Cloud Mask Product

1
Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD 20740, USA
2
Environmental Science and Technology Center, Department of Geography and GeoInformatics, George Mason University, Fairfax, VA 22030, USA
3
Center for Satellite Applications and Research, NOAA/NESDIS, College Park, MD 20740, USA
*
Author to whom correspondence should be addressed.
Academic Editor: Vijay Natraj
Remote Sens. 2021, 13(13), 2502; https://doi.org/10.3390/rs13132502
Received: 11 June 2021 / Revised: 22 June 2021 / Accepted: 25 June 2021 / Published: 26 June 2021
(This article belongs to the Section Remote Sensing Communications)
The Visible Infrared Imaging Radiometer Suite (VIIRS) onboard the Suomi National Polar-orbiting Partnership (S-NPP) satellite continually provides global observations used to retrieve over 20 VIIRS Environmental Data Record (EDR) products. Among them, the cloud mask product is essential for many other VIIRS EDR products such as aerosols, ocean color, and active fire. The reprocessed S-NPP VIIRS Sensor Data Record (SDR) data produced by NOAA/Center for Satellite Applications and Research (STAR) have shown improved stability and consistency. Recently, the VIIRS Enterprise Cloud Mask (ECM) has been reprocessed using the reprocessed VIIRS SDR data. This study assesses the reprocessed ECM product by comparing the reprocessed cloud mask types and cloud probability with those from the operational VIIRS ECM product. It found that the overall differences are small. Most of the discrepancies occur between neighboring types at the cloud edge. These findings help lay the foundation for the user community to understand the reprocessed ECM product. In addition, due to the better quality of the reprocessed VIIRS SDR data that are utilized to generate the reprocessed ECM product, it is expected that the reprocessed ECM product will have better stability and consistency compared to the operational ECM products. Therefore, the reprocessed ECM product is a useful benchmark for the user community. View Full-Text
Keywords: SNPP VIIRS cloud mask reprocessing; assessment of reprocessed cloud mask types and cloud probabilities SNPP VIIRS cloud mask reprocessing; assessment of reprocessed cloud mask types and cloud probabilities
Show Figures

Figure 1

MDPI and ACS Style

Lin, L.; Hao, X.; Zhang, B.; Zou, C.-Z.; Cao, C. Assessment of the Reprocessed Suomi NPP VIIRS Enterprise Cloud Mask Product. Remote Sens. 2021, 13, 2502. https://doi.org/10.3390/rs13132502

AMA Style

Lin L, Hao X, Zhang B, Zou C-Z, Cao C. Assessment of the Reprocessed Suomi NPP VIIRS Enterprise Cloud Mask Product. Remote Sensing. 2021; 13(13):2502. https://doi.org/10.3390/rs13132502

Chicago/Turabian Style

Lin, Lin, Xianjun Hao, Bin Zhang, Cheng-Zhi Zou, and Changyong Cao. 2021. "Assessment of the Reprocessed Suomi NPP VIIRS Enterprise Cloud Mask Product" Remote Sensing 13, no. 13: 2502. https://doi.org/10.3390/rs13132502

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

Article Access Map by Country/Region

1
Back to TopTop