Results 21 to 30 of about 7,266,078 (163)

A Machine Learning Algorithm for Himawari-8 Total Suspended Solids Retrievals in the Great Barrier Reef

Remote Sensing, 2022
Remote sensing of ocean colour has been fundamental to the synoptic-scale monitoring of marine water quality in the Great Barrier Reef (GBR). However, ocean colour sensors onboard low orbit satellites, such as the Sentinel-3 constellation, have ...
Larissa Patricio-Valerio, Thomas Schroeder, Michelle J. Devlin, Yi Qin, Scott Smithers   +4 more
doaj   +1 more source

Himawari-8

, 2022
The netcdf files contain Himawari-8 observations for cloud top temperatures, types etc. 
Artur Gevorgyan (4514116)
core   +1 more source

Application of Empirical Orthogonal Function Analysis to 1 km Ensemble Simulations and Himawari–8 Observation in the Intensification Phase of Typhoon Hagibis (2019)

Atmosphere, 2022
An empirical orthogonal function (EOF) analysis was performed for the inner core of Typhoon Hagibis (2019) in the intensification phase. The Himawari–8 geostationary infrared (IR) brightness temperature (BT) collocated at the Hagibis’s center was ...
Akiyoshi Wada, Masahiro Hayashi, Wataru Yanase   +2 more
doaj   +1 more source

Himawari-8 GeoCat 1.0.3 Australian Domain Level 1 v1.0

, 2021
This dataset contains derived satellite observations of cloud properties over the Australian region at hourly temporal resolution and 2 km spatial resolution.
Vincent, C, Huang, Y, Huang, Yi, Lopez-Bravo, Clemente, Vincent, Claire, Lopez-Bravo, C   +5 more
core   +1 more source

The Deep‐Learning‐Based Fast Efficient Nighttime Retrieval of Thermodynamic Phase From Himawari‐8 AHI Measurements

Geophysical Research Letters, 2023
Retrieval of the cloud thermodynamic phase (CP) is essential for satellite remote sensing and downstream applications. However, there is still a lack of efficient nighttime CP data products.
Xuan Tong, Jingwei Li, Feng Zhang, Wenwen Li, BaoXiang Pan, Jun Li, Husi Letu   +6 more
doaj   +1 more source

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

Remote 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 ...
Febryanto Simanjuntak, Ilham Jamaluddin, Tang-Huang Lin, Hary Aprianto Wijaya Siahaan, Ying-Nong Chen   +4 more
doaj   +1 more source

Assessment of Nighttime Cloud Cover Products from MODIS and Himawari-8 Data with Ground-Based Camera Observations

Remote Sensing, 2022
Comparing cloud cover (CC) products from different satellites with the same ground-based CC dataset provides information on the similarities or differences of values among satellite products. For this reason, 42-month CC products from Moderate Resolution
Nofel Lagrosas, Alifu Xiafukaiti, Hiroaki Kuze, Tatsuo Shiina   +3 more
doaj   +1 more source

Analysis Distribution of the Volcanic Ash Eruption of Mount Agung 2018 and Its Influence on the Surface Temperature of the Land Area of Bali by Using the Split Windows Method

Buletin Fisika, 2021
Sebaran awan debu vulkanik erupsi Gunung Agung 2018 dapat diketahui dengan pengolahan data komposisi RGB menggunakan metode split windows pada aplikasi SATAID, yang dapat membedakan awan debu vulkanik atau awan meteorologi (awan air/es), dan juga dapat ...
Septian Jonathan, I Ketut Sukarasa, I Wayan Wirata   +2 more
doaj   +1 more source

Himawari-8 Cloud properties

, 2022
Himawari-8 Cloud ...
openaire   +1 more source

ackermannluis/MCC_Him8_CNN: Mesoscale Cellular Convection from Himawari-8

, 2021
Identifies Open and Closed Mesoscale Cellular Convection (MCC) clouds from Himawari-8 scenes using a trained convolutional neural network. A journal article (A climatology of open and closed mesoscale cellular convection over the Southern Ocean derived ...
Luis Ackermann
core   +1 more source