An Object Similarity-Based Thresholding Method for Urban Area Mapping from Visible Infrared Imaging Radiometer Suite Day/Night Band (VIIRS DNB) Data [PDF]
Remote Sensing, 2018 Nighttime light data from the Visible Infrared Imaging Radiometer Suite (VIIRS) Day/Night Band (DNB) provides a unique data source for mapping and monitoring urban areas at regional and global scales. This study proposes an object similarity-based thresholding method using VIIRS DNB data to map urban areas.
Wenting Ma, Peijun Li
openaire +4 more sources
Improvement in tropospheric moisture retrievals from VIIRS through the use of infrared absorption bands constructed from VIIRS and CrIS data fusion [PDF]
Atmospheric Measurement Techniques, 2021 An operational data product available for both the Suomi National Polar-orbiting Partnership (S-NPP) and National Oceanic and Atmospheric Administration-20 (NOAA-20) platforms provides high-spatial-resolution infrared (IR) absorption band radiances for ...
E. E. Borbas +4 more
doaj +1 more source
Inflammatory Shift in Chronic Rhinosinusitis Amidst Guangzhou's Urbanization (2000-2018). [PDF]
World J Otorhinolaryngol Head Neck SurgABSTRACT Background Chronic rhinosinusitis (CRS) exhibits temporal and geographic diversity in pathological endotypes with progressive eosinophilic infiltration, while the underlying causes remain unclear. Current pathological endotypes determination relies on mean cell count per high‐power field, requiring accuracy optimization.
Kang N +16 more
europepmc +2 more sources
An Ongoing Blended Long-Term Vegetation Health Product for Monitoring Global Food Security
Agronomy, 2020 Remotely observing global vegetation from space has endured for nearly 50 years. Many datasets have been developed to monitor vegetation status. Tailored to specifically monitor global food security concerning drought and crop yield, a suite of datasets ...
Wenze Yang, Felix Kogan, Wei Guo
doaj +1 more source
Real-Time Detection of Daytime and Night-Time Fire Hotspots from Geostationary Satellites
Remote Sensing, 2021 This paper introduces an enhanced version of the Biogeographical Region and Individual Geostationary HHMMSS Threshold (BRIGHT) algorithm. The algorithm runs in real-time and operates over 24 h to include both daytime and night-time detections.
Chermelle B. Engel +2 more
doaj +1 more source
Evaluation of Visible Infrared Imaging Radiometer Suite (VIIRS) neural network cloud detection against current operational cloud masks [PDF]
Atmospheric Measurement Techniques, 2021 Abstract. Cloud properties are critical to our understanding of weather and climate variability, but their estimation from satellite imagers is a nontrivial task. In this work, we aim to improve cloud detection, which is the most fundamental cloud property.
Charles H. White +2 more
openaire +3 more sources
The Continuity MODIS-VIIRS Cloud Mask
Remote Sensing, 2020 This paper introduces the Continuity Moderate Resolution Imaging Spectroradiometer (MODIS)-Visible Infrared Imaging Radiometer Suite (VIIRS) Cloud Mask (MVCM), a cloud detection algorithm designed to facilitate continuity in cloud detection between the ...
Richard A. Frey +4 more
doaj +1 more source
Continuing the MODIS Dark Target Aerosol Time Series with VIIRS
Remote Sensing, 2020 For reflected sunlight observed from space at visible and near-infrared wavelengths, particles suspended in Earth’s atmosphere provide contrast with vegetation or dark water at the surface. This is the physical motivation for the Dark Target (DT) aerosol
Virginia Sawyer +5 more
doaj +1 more source
Record‐Low Cloud Temperatures Associated With a Tropical Deep Convective Event
Geophysical Research Letters, 2021 Earth‐orbiting satellites have long been used to examine meteorological processes. In the context of severe weather, brightness temperatures (BTs) at infrared wavelengths allow the determination of convective cloud properties.
Simon Richard Proud, Scott Bachmeier
doaj +1 more source
MONITORING DISASTER-RELATED POWER OUTAGES USING NASA BLACK MARBLE NIGHTTIME LIGHT PRODUCT [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018 Timely and accurate monitoring of disruptions to the electricity grid, including the magnitude, spatial extent, timing, and duration of net power losses, is needed to improve situational awareness of disaster response and long-term recovery efforts ...
Z. Wang +7 more
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