Advanced algorithms on monitoring diurnal variations in dust aerosol properties using geostationary satellite imagery-Reference-Cited by-同舟云学术

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Advanced algorithms on monitoring diurnal variations in dust aerosol properties using geostationary satellite imagery

Published:2024-03 Issue: Volume:303 Page:113996
ISSN:0034-4257
Container-title:Remote Sensing of Environment
language:en
Short-container-title:Remote Sensing of Environment

Author:

Li Jing,Wong Man Sing,Shi Guoqiang,Nichol Janet Elizabeth,Lee Kwon Ho,Chan P.W.

Publisher

Elsevier BV

Reference79 articles.

1. Remote sensing aerosols using satellite infrared observations;Ackerman;J. Geophys. Res.,1997

2. An introduction to Himawari-8/9—Japan’s new-generation geostationary meteorological satellites;Bessho;J. Meteorol. Soc. Japan.,2016

3. Infrared dust aerosol optical depth retrieved daily from IASI and comparison with AERONET over the period 2007–2016;Capelle;Remote Sens. Environ.,2018

4. FCCDN: feature constraint network for VHR image change detection;Chen;ISPRS J. Photogramm.,2022

5. A decadal data set of global atmospheric dust retrieved from IASI satellite measurements;Clarisse;J. Geophys. Res. Atmos.,2019

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