Results 11 to 20 of about 7,266,078 (163)
Polar mesospheric clouds observed by Himawari-8 [PDF]
, 2018 Abstract. We make an initial report on polar mesospheric clouds (PMCs) observed by Himawari-8, the Japanese Geostationary-Earth-Orbit (GEO) meteorological satellite. Heights of the observed PMCs were estimated to be 80–82 km. The PMCs were active only during summertime in both the northern and southern polar regions.
Takuo T. Tsuda +5 more
openaire +2 more sources
Dust Detection and Intensity Estimation Using Himawari-8/AHI Observation [PDF]
Remote Sensing, 2018 In this study, simple dust detection and intensity estimation methods using Himawari-8 Advanced Himawari Imager (AHI) data are developed. Based on the differences of thermal radiation characteristics between dust and other typical objects, brightness temperature difference (BTD) among four channels (BT11–BT12, BT8–BT11, and BT3–BT11) are used together ...
Lu She +7 more
openaire +6 more sources
Geophysical Research Letters, 2016 Himawari‐8, a next‐generation geostationary meteorological satellite, was launched on 7 October 2014 and became operational on 7 July 2015. The advanced imager on board Himawari‐8 is equipped with 16 observational bands (including three visible and three
K. Yumimoto +13 more
doaj +2 more sources
Detection of deterministic and probabilistic convection initiation using Himawari-8 Advanced Himawari Imager data [PDF]
Atmospheric Measurement Techniques, 2017 The detection of convective initiation (CI) is very important because convective clouds bring heavy rainfall and thunderstorms that typically cause severe socio-economic damage.
S. Lee +4 more
doaj +3 more sources
Remote Sensing, 2019 Leaf area index (LAI) and fraction of photosynthetically active radiation (FPAR) absorbed by vegetation are two of the essential biophysical variables used in most global models of climate, hydrology, biogeochemistry, and ecology.
Yepei Chen +7 more
doaj +2 more sources
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 +5 more
doaj +2 more sources
NSW-OEH studies using Himawari-8
, 2019 MP4's of GLCs from IR Himawari-8 data.
Miles Sowden (7523858)
core +4 more sources
Frontiers in Earth Science, 2023 Aerosols are the main components of air pollutants, which are closely related to haze, dust storm and air pollution. In this study, an aerosol data assimilation system was developed using Gridpoint Statistical Interpolation (GSI) system to assimilate the
Xiaoli Xia +4 more
doaj +1 more source
Detection of Polar Mesospheric Clouds Utilizing Himawari‐8/AHI Full‐Disk Images
Earth and Space Science, 2022 With the objective of advancing the polar mesospheric cloud (PMC) detection capability by the Advanced Himawari Imager (AHI) onboard the Japanese geostationary‐Earth‐orbit (GEO) meteorological satellite Himawari‐8, a novel two‐step PMC detection ...
T. T. Tsuda +10 more
doaj +1 more source
HOW WELL DOES SATELLITE FINE MODE AEROSOL PRODUCT VALIDATE WITH GROUND-BASED MEASUREMENTS FOR MODIS AND HIMAWARI-8? [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018 Currently, the validation of MODIS and Himawari-8 aerosol products mostly focuses on AOD, but the validation of their fine mode aerosol data is limited. In this paper, 22 AERONET sites in Asia from 2015 to 2016 were selected to validate the MODIS and the
J. Jin +10 more
doaj +1 more source