Results 51 to 60 of about 27,147 (201)
Abstract Hot‐wet extremes (HWEs) are intensifying in the Beijing–Tianjin–Hebei region, but their fine‐scale diurnal urban–rural contrasts remain unclear. Using summer observations from 1,962 automatic weather stations during 2016–2024, we identify threshold‐exceeding HWE days and show that urban areas experience more compound day–night and independent ...
Hanxu Jiang, Boqi Liu, Shuangmei Ma
wiley +1 more source
MAIAC Aerosol Algorithm Over Water
Abstract MAIAC VIIRS Collection 2 aerosol product for the first time provides global coverage over land and ocean. This paper gives a first systematic description of MAIAC ocean aerosol algorithm covering cases of open ocean, waters with sediments and brown waters from rivers' discharge.
Alexei Lyapustin +4 more
wiley +1 more source
A machine learning framework integrating multisource seismic, social, and geographic data accurately predicts kilometer‐scale seismic intensity, enabling rapid postearthquake damage assessment during data‐scarce “black‐box” periods. ABSTRACT Accurate and rapid assessment of seismic intensity is crucial for postearthquake emergency response.
Ma Yuan +4 more
wiley +1 more source
Quality Assessment of S-NPP VIIRS Land Surface Temperature Product
The VIIRS Land Surface Temperature (LST) Environmental Data Record (EDR) has reached validated (V1 stage) maturity in December 2014. This study compares VIIRS v1 LST with the ground in situ observations and with heritage LST product from MODIS Aqua and AATSR. Comparisons against U.S.
Yuling Liu +4 more
openaire +5 more sources
The Inter-Calibration of the DSCOVR EPIC Imager with Aqua-MODIS and NPP-VIIRS [PDF]
The Deep Space Climate Observatory (DSCOVR) through the earth polychromatic imaging camera (EPIC) continuously observes the illuminated disk from the Lagrange-1 point. The EPIC sensor was designed to monitor the diurnal variation of ozone, clouds, aerosols, and vegetation, especially those features that benefit from observation near-backscatter ...
Doelling, David +4 more
openaire +2 more sources
Nighttime light data derived from the Defense Meteorological Satellite Program’s Operational Linescan System (DMSP-OLS) in conjunction with the Soumi National Polar-Orbiting Partnership Visible Infrared Imaging Radiometer Suite (NPP-VIIRS) possess great ...
Xiaobo Zhu +3 more
doaj +1 more source
U‐Net Based Machine Learning for Identification of Auroras in Space‐Based Images
Abstract We use a Semantic Segmentation based U‐Net model to predict the appearance of various classifications of aurora present in near‐infrared images from the Fast Auroral Imager (FAI) onboard the CASSIOPE satellite. We manually labeled pixels from a set of 4091 FAI near‐infrared images into 7 different classes: no aurora, contaminated, diffuse ...
Amit Kain +4 more
wiley +1 more source
Evaluating the Potential of LJ1-01 Nighttime Light Data for Modeling Socio-Economic Parameters
The LJ1-01 satellite is the first dedicated nighttime light remote sensing satellite in the world and offers a higher spatial resolution than the Defense Meteorological Satellite Program’s Operational Linescan System (DMSP/OLS) and the Visible ...
Guo Zhang +3 more
doaj +1 more source
ABSTRACT The Yellow River Basin is a critical region for ecological conservation and sustainable development in China. It also serves as a core area for carbon emissions across various functional zones of construction land. Accurately understanding carbon emissions from various types of construction land in the Yellow River Basin is crucial for China ...
Xi Chen +7 more
wiley +1 more source
Filtering the NPP-VIIRS Nighttime Light Data for Improved Detection of Settlements in Africa [PDF]
Observing and understanding changes in Africa is a hotspot in global ecological environmental research since the early 1970s. As possible causes of environmental degradation, frequent droughts and human activities attracted wide attention. Remote sensing of nighttime light provides an effective way to map human activities and assess their intensity. To
Xiaotian Yuan +4 more
openaire +4 more sources

