Results 1 to 10 of about 7,060 (183)

VIIRS after 10 Years—A Perspective on Benefits to Forecasters and End-Users

open access: yesRemote Sensing, 2023
In the ten years of VIIRS observations, a wide range of applications, both operational and research-based, have been developed, observed, and utilized at the Cooperative Institute for Research in the Atmosphere (CIRA).
Matthew A. Rogers   +6 more
doaj   +2 more sources

Ten Years of VIIRS On-Orbit Geolocation Calibration and Performance

open access: yesRemote Sensing, 2022
The first innovative Visible Infrared Imaging Radiometer Suite (VIIRS) sensor aboard the Suomi National Polar-orbiting Partnership (SNPP) satellite has been in operation for 10 years since its launch on 28 October 2011. The second VIIRS sensor aboard the
Guoqing Lin   +4 more
doaj   +2 more sources

Ten Years of VIIRS EDR Imagery Validation and User Interactions

open access: yesRemote Sensing, 2022
Over ten years of Visible Infrared Imaging Radiometer Suite (VIIRS) Environmental Data Records (EDR) Imagery Team activities have included primarily imagery validation, but also product generation and display and user interactions.
Donald Hillger   +5 more
doaj   +2 more sources

Evaluation of 10-Year NOAA/NASA Suomi NPP and NOAA-20 VIIRS Reflective Solar Band (RSB) Sensor Data Records (SDR) over Deep Convective Clouds

open access: yesRemote Sensing, 2022
The Visible Infrared Imaging Radiometer Suite (VIIRS) is a key instrument onboard the Suomi NPP (S-NPP) and the NOAA-20 satellites that provides state-of-the-art Earth observations for ocean, land, aerosol, and cloud applications.
Wenhui Wang   +7 more
doaj   +1 more source

The VIIRS-Based RST-FLARE Configuration: The Val d’Agri Oil Center Gas Flaring Investigation in Between 2015–2019

open access: yesRemote Sensing, 2020
The RST (Robust Satellite Techniques)-FLARE algorithm is a satellite-based method using a multitemporal statistical analysis of nighttime infrared signals strictly related to industrial hotspots, such as gas flares.
Mariapia Faruolo   +3 more
doaj   +1 more source

Potential Underestimation of Satellite Fire Radiative Power Retrievals over Gas Flares and Wildland Fires

open access: yesRemote Sensing, 2020
Fire Radiative Power (FRP) is related to fire combustion rates and is used to quantify the atmospheric emissions of greenhouse gases and aerosols. FRP over gas flares and wildfires can be retrieved remotely using satellites that observe in shortwave ...
Sanath Sathyachandran Kumar   +3 more
doaj   +1 more source

Error Budget in the Validation of Radiometric Products Derived from OLCI around the China Sea from Open Ocean to Coastal Waters Compared with MODIS and VIIRS

open access: yesRemote Sensing, 2019
The accuracy of remote-sensing reflectance ( R r s ) estimated from ocean color imagery through the atmospheric correction step is essential in conducting quantitative estimates of the inherent optical properties and biogeochemical parameters ...
Jun Li   +7 more
doaj   +1 more source

Assessment of the Reprocessed Suomi NPP VIIRS Enterprise Cloud Mask Product

open access: yesRemote Sensing, 2021
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.
Lin Lin   +4 more
doaj   +1 more source

Development of S-NPP VIIRS global surface type classification map using support vector machines

open access: yesInternational Journal of Digital Earth, 2018
With the launch of the Joint Polar Satellite System (JPSS)/Suomi National Polar-orbiting Partnership (S-NPP) satellite in October 2011, many of the terrestrial remote sensing products generated from Moderate Resolution Imaging Spectroradiometer (MODIS ...
Rui Zhang   +4 more
doaj   +1 more source

A Deep Learning Trained Clear-Sky Mask Algorithm for VIIRS Radiometric Bias Assessment

open access: yesRemote Sensing, 2019
Clear-sky mask (CSM) is a crucial influence on the calculating accuracy of the sensor radiometric biases for spectral bands of visible, infrared, and microwave regions.
Xingming Liang   +3 more
doaj   +1 more source

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