Results 61 to 70 of about 868 (182)
Fire detection using Himawari-8 satellite data
Abstract Capitalizing on the unique advantages of the Himawari-8 satellite, including its high spatiotemporal resolution and multispectral capabilities, this study proposes an advanced fire detection method. Potential fire pixels are initially extracted using a sliding window approach with dynamic and fixed thresholding techniques.
Long Li +6 more
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Abstract Tropical cyclone (TC) intensity estimation remains a critical yet challenging task, especially for intense storms that are often underestimated by both conventional and deep learning satellite‐based methods. Among various structural features, eye formation is the most distinct transformation during TC development and is closely linked to rapid
Yi Liu +3 more
wiley +1 more source
Monitoring the Agung (Indonesia) Ash Plume of November 2017 by Means of Infrared Himawari 8 Data
The Agung volcano (Bali; Indonesia) erupted in later November 2017 after several years of quiescence. Because of ash emissions, hundreds of flights were cancelled, causing an important air traffic disruption in Indonesia.
Francesco Marchese +3 more
doaj +1 more source
Presentation given at the 17th GHRSST science meeting (XVII), Washington DC, USA, June 6 - 10, 2016.
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Abstract Tropical cyclones (TCs) pose significant threats to coastal communities and ecosystems underscoring the need for accurate and timely monitoring of their structure and intensity. Although satellite infrared (IR) imagery provides continuous global coverage, traditional methods for estimating TC parameters, such as center location, intensity, and
Chong Wang, Xiaofeng Li
wiley +1 more source
Abstract The study aims to investigate the use of Infrared (IR) channels of Himawari-8/AHI for identification of rainfall area in Indonesia. The parameters used include the IR brightness temperature (BT) at 10.4 microns (T10.4) and seven IR BT differences (BTD), which were inferred as proxies for cloud properties.
null Risyanto, F Lasmono, GA Nugroho
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Abstract Accurate retrieval of satellite‐derived aerosol optical depth (AOD) is critical for air quality forecasting, especially when AOD is assimilated into models. However, if retrieval errors in the satellite‐derived AOD are not corrected or characterized, they can lead to false analysis increments and ultimately degrade the quality of data ...
Joonhee Kim +6 more
wiley +1 more source
Diurnal Variation in Surface Incident Solar Radiation Retrieved by CERES and Himawari-8
The diurnal variation of surface incident solar radiation (Rs) has a significant impact on the Earth’s climate. Satellite-retrieved Rs datasets display good spatial and temporal continuity compared with ground-based observations and, more importantly ...
Lu Lu, Ying Li, Lingjun Liang, Qian Ma
doaj +1 more source
A Supercooled Water Cloud Detection Algorithm Using Himawari‐8 Satellite Measurements
AbstractThe detection of supercooled water clouds (SWCs) is essential for artificial rain enhancement, the prevention of aircraft ice accretion, and better understanding of radiative energy balance. However, it is challenging to identify SWCs using only passive satellite measurements.
Ziming Wang +5 more
openaire +2 more sources
Formation of Hole Punch Clouds
Abstract Hole‐punch clouds (HPCs) are circular or oval cloudless holes in thin supercooled cloud layers. They are believed to be generated by aircraft passing through supercooled cloud layers; however, the exact formation mechanisms remain poorly understood due to the scarcity of observations.
S. Iwasaki, H. Fujii
wiley +1 more source

