Results 81 to 90 of about 868 (182)

Early Stage Forest Fire Detection from Himawari-8 AHI Images Using a Modified MOD14 Algorithm Combined with Machine Learning. [PDF]

Sensors (Basel), 2022
Maeda N, Tonooka H.
europepmc   +1 more source

Icing Detection over East Asia from Geostationary Satellite Data Using Machine Learning Approaches

Remote Sensing, 2018
Even though deicing or airframe coating technologies continue to develop, aircraft icing is still one of the critical threats to aviation. While the detection of potential icing clouds has been conducted using geostationary satellite data in the US and ...
Seongmun Sim, Jungho Im, Sumin Park, Haemi Park, Myoung Hwan Ahn, Pak-wai Chan   +5 more
doaj   +1 more source

NOAA JPSS and Himawari-8 SST Products

, 2015
Presentation given at the Satellite Oceanography Users Workshop, Melbourne, Australia, 9 - 11 Nov 2015.
openaire   +1 more source

An atmospheric correction method for Himawari-8 imagery based on a multi-layer stacking algorithm

Ecological Informatics
The effective extraction of water-leaving reflectance using atmospheric correction (AC) algorithms is essential for accurately retrieving ocean color parameters.
Menghui Wang, Donglin Fan, Hongchang He, You Zeng, Bolin Fu, Tianlong Liang, Xinyue Zhang, Wenhan Hu   +7 more
doaj   +1 more source

Snow-Covered Area Retrieval from Himawari–8 AHI Imagery of the Tibetan Plateau

Remote Sensing, 2019
Daily snow-covered area retrieval using the imagery in solar reflective bands often encounters extensive data gaps caused by cloud obscuration. With the inception of geostationary satellites carrying advanced multispectral imagers of high temporal ...
Gongxue Wang, Lingmei Jiang, Jiancheng Shi, Xiaojing Liu, Jianwei Yang, Huizhen Cui   +5 more
doaj   +1 more source

Short-Term Variation of the Surface Flow Pattern South of Lombok Strait Observed from the Himawari-8 Sea Surface Temperature

Remote Sensing, 2019
Spatial and temporal information on oceanic flow is fundamental to oceanography and crucial for marine-related social activities. This study attempts to describe the short-term surface flow variation in the area south of the Lombok Strait in the northern
Naokazu Taniguchi, Shinichiro Kida, Yuji Sakuno, Hidemi Mutsuda, Fadli Syamsudin   +4 more
doaj   +1 more source

A Study on Effects of Himawari-8 Based AOD Data on 3DVar of CMA-MESO/CUACE CW

Gaoyuan qixiang
The CMA-MESO/CUACE CW is an atmospheric chemistry coupled model independently developed by China.At present， the CMA-MESO/CUACE CW 3DVar system realized the assimilation of ground-based aerosol observations of PM2.5 and PM10.In order to enhance the ...
Weihong TIAN, Zhaorong ZHUANG, Wei HAN, Xueshun SHEN   +3 more
doaj   +1 more source

Best Water Vapor Information Layer of Himawari-8-Based Water Vapor Bands over East Asia. [PDF]

Sensors (Basel), 2020
Wu Y, Zhang F, Wu K, Min M, Li W, Liu R.
europepmc   +1 more source

Himawari-8: Example 1 (1 hour) - SST breakout

, 2015
Presentation given at the Satellite Oceanography Users Workshop, Melbourne, Australia, 9 - 11 Nov 2015.
openaire   +1 more source

Dust Vortex in the Taklimakan Desert by Himawari-8 High Frequency and Resolution Observation. [PDF]

Sci Rep, 2019
Yumimoto K, Kajino M, Tanaka TY, Uno I.
europepmc   +1 more source