Results 51 to 60 of about 3,271,202 (325)

ESTIMATING AIRBORNE PARTICULATE MATTER IN THE NATIONAL CAPITAL REGION, PHILIPPINES USING MULTIPLE LINEAR REGRESSION AND GRADIENT BOOSTING ALGORITHM ON MODIS MAIAC AEROSOL OPTICAL DEPTH [PDF]

open access: yesISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2023
The generation of air quality concentration data is imperative for the health and environment of highly urbanized regions. Through remote sensing, air pollutant concentrations can be obtained over large areas for a long time.
R. A. B. Torres   +7 more
doaj   +1 more source

Transformer-Based Global Zenith Tropospheric Delay Forecasting Model

open access: yesRemote Sensing, 2022
Zenith tropospheric delay (ZTD) plays an important role in high-precision global navigation satellite system (GNSS) positioning and meteorology. At present, commonly used ZTD forecasting models comprise empirical, meteorological parameter, and neural ...
Haifeng Zhang   +4 more
semanticscholar   +1 more source

Applying self-supervised learning for semantic cloud segmentation of all-sky images

open access: yesAtmospheric Measurement Techniques, 2021
. Semantic segmentation of ground-based all-sky images (ASIs) can provide high-resolution cloud coverage information of distinct cloud types, applicable for meteorology, climatology and solar energy-related applications. Since the shape and appearance of
Yann Fabel   +8 more
semanticscholar   +1 more source

HOTSPOT ANALYSIS AND COMPARISON BETWEEN SATELLITE-DERIVED AEROSOL OPTICAL DEPTH AND GROUND-BASED PARTICULATE MATTER MEASUREMENTS IN METRO MANILA [PDF]

open access: yesISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2023
Highly urbanized regions such as the Metro Manila area in the Philippines contribute to the deterioration of air quality through overpopulation, excessive vehicle emissions, and industrialization. However, the limited number of ground monitoring stations
B. A. B. Recto   +7 more
doaj   +1 more source

Reconstruction of All-Weather Daytime and Nighttime MODIS Aqua-Terra Land Surface Temperature Products Using an XGBoost Approach

open access: yesRemote Sensing, 2021
Generating spatiotemporally continuous land surface temperature (LST) data is in great demand for hydrology, meteorology, ecology, environmental studies, etc.
Weiwei Tan   +3 more
semanticscholar   +1 more source

Impacts of Different Onset Time El Niño Events on Winter Precipitation over South China

open access: yesAtmosphere, 2018
Winter precipitation over South China tended to be much higher than normal for the spring El Niño events during 1979–2016. For the spring El Niño events, the meridional and zonal circulations served as a bridge, linking the warmer sea
Lingli Fan, Jianjun Xu, Huade Guan
doaj   +1 more source

Radial Basis Function (RBF) Neural Network: Effect of Hidden Neuron Number, Training Data Size, and Input Variables on Rainfall Intensity Forecasting

open access: yesInternational Journal on Advanced Science, Engineering and Information Technology, 2019
Mean daily rainfall of more than 30mm could result in flood hazard. Accurate prediction of rainfall intensity could help in forecasting of flash flood and help to save lives and properties.
S. Chai   +4 more
semanticscholar   +1 more source

Using Deep Learning to Identify Circulation Patterns of Intense Rainfall in the Beijing–Tianjing–Hebei Region

open access: yesAtmosphere, 2023
The properties and distributions of precipitation are often determined by specific synoptic patterns. Hence, the objective identification of corresponding impact patterns is an important field of research for improving rain forecasting.
Linguo Jing   +5 more
doaj   +1 more source

Forecasting the PM-10 using a deep neural network [PDF]

open access: yesSongklanakarin Journal of Science and Technology (SJST), 2021
The air pollutants related to PM-10 are increasingly adversely affecting people in upper Northern Thailand, especially during the annual dry season.
Chinawat Chairungrueang, Rati Wongsathan
doaj   +1 more source

Rainfall Forecast Using Machine Learning with High Spatiotemporal Satellite Imagery Every 10 Minutes

open access: yesRemote Sensing, 2022
Increasing the accuracy of rainfall forecasts is crucial as an effort to prevent hydrometeorological disasters. Weather changes that can occur suddenly and in a local scope make fast and precise weather forecasts increasingly difficult to inform ...
F. Simanjuntak   +4 more
semanticscholar   +1 more source

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