[HTML][HTML] An overview of the applications of earth observation satellite data: impacts and future trends

Q Zhao, L Yu, Z Du, D Peng, P Hao, Y Zhang, P Gong - Remote Sensing, 2022 - mdpi.com
As satellite observation technology develops and the number of Earth observation (EO)
satellites increases, satellite observations have become essential to developments in the …

[HTML][HTML] Polarimetric remote sensing of atmospheric aerosols: Instruments, methodologies, results, and perspectives

O Dubovik, Z Li, MI Mishchenko, D Tanré… - Journal of Quantitative …, 2019 - Elsevier
Polarimetry is one of the most promising types of remote sensing for improved
characterization of atmospheric aerosol. Indeed, aerosol particles constitute a highly …

[HTML][HTML] Advancements in the Aerosol Robotic Network (AERONET) Version 3 database–automated near-real-time quality control algorithm with improved cloud …

DM Giles, A Sinyuk, MG Sorokin… - Atmospheric …, 2019 - amt.copernicus.org
The Aerosol Robotic Network (AERONET) has provided highly accurate, ground-truth
measurements of the aerosol optical depth (AOD) using Cimel Electronique Sun–sky …

[HTML][HTML] Contribution of the world's main dust source regions to the global cycle of desert dust

JF Kok, AA Adebiyi, S Albani… - Atmospheric …, 2021 - acp.copernicus.org
Even though desert dust is the most abundant aerosol by mass in Earth's atmosphere, the
relative contributions of the world's major source regions to the global dust cycle remain …

[HTML][HTML] The modern-era retrospective analysis for research and applications, version 2 (MERRA-2)

R Gelaro, W McCarty, MJ Suárez, R Todling… - Journal of …, 2017 - journals.ametsoc.org
The Modern-Era Retrospective Analysis for Research and Applications, Version 2 (MERRA-2)
in: Journal of Climate Volume 30 Issue 14 (2017) Jump to Content Jump to Main Navigation …

A hybrid model for spatiotemporal forecasting of PM2. 5 based on graph convolutional neural network and long short-term memory

Y Qi, Q Li, H Karimian, D Liu - Science of the Total Environment, 2019 - Elsevier
Increasing availability of data related to air quality from ground monitoring stations has
provided the chance for data mining researchers to propose sophisticated models for …

[HTML][HTML] The AERONET Version 3 aerosol retrieval algorithm, associated uncertainties and comparisons to Version 2

A Sinyuk, BN Holben, TF Eck, DM Giles… - Atmospheric …, 2020 - amt.copernicus.org
The Aerosol Robotic Network (AERONET) Version 3 (V3) aerosol retrieval algorithm is
described, which is based on the Version 2 (V2) algorithm with numerous updates …

An introduction to Himawari-8/9—Japan's new-generation geostationary meteorological satellites

K Bessho, K Date, M Hayashi, A Ikeda… - Journal of the …, 2016 - jstage.jst.go.jp
Abstract Himawari-8/9—a new generation of Japanese geostationary meteorological
satellites-carry state-of-the-art optical sensors with significantly higher radiometric, spectral …

Preliminary analysis of the performance of the Landsat 8/OLI land surface reflectance product

E Vermote, C Justice, M Claverie, B Franch - Remote sensing of …, 2016 - Elsevier
The surface reflectance, ie, satellite derived top of atmosphere (TOA) reflectance corrected
for the temporally, spatially and spectrally varying scattering and absorbing effects of …

Satellite-Based Spatiotemporal Trends in PM2.5 Concentrations: China, 2004–2013

Z Ma, X Hu, AM Sayer, R Levy, Q Zhang… - Environmental …, 2016 - ehp.niehs.nih.gov
Background Three decades of rapid economic development is causing severe and
widespread PM2. 5 (particulate matter≤ 2.5 μm) pollution in China. However, research on …