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Air Quality over China

Gerrit de Leeuw, Ronald van der A, Jianhui Bai, Yong Xue, Costas Varotsos, Zhengqiang Li, Cheng Fan, Xingfeng Chen, Ioannis Christodoulakis, Jieying Ding, Xuewei Hou, Georgios Kouremadas (+5 others)
2021 Remote Sensing  
The aims of the Dragon 4 project "Air quality over China" were the determination of trends in the concentrations of aerosols and trace gases, quantification of emissions using a top-down approach and gain  ...  To reduce the concentrations of pollutants, air pollution control policies have been successfully implemented, resulting in the gradual decrease of air pollution in China during the last decade, as evidenced  ...  Acknowledgments: The authors acknowledge the data providers for their ceaseless effort to collect, process, quality control and provide data of the best possible quality.  ... 
doi:10.3390/rs13173542 fatcat:x6udhqz76vbxvcnt7263oecnqy

Inferring Near-Surface PM2.5 Concentrations from the VIIRS Deep Blue Aerosol Product in China: A Spatiotemporally Weighted Random Forest Model

Wenhao Xue, Jing Wei, Jing Zhang, Lin Sun, Yunfei Che, Mengfei Yuan, Xiaomin Hu
2021 Remote Sensing  
Visible infrared Imaging Radiometer (VIIRS) Deep Blue (DB) aerosol product, along with meteorological variables, and socioeconomic data.  ...  Much of the population is exposed to PM2.5 (particulate matter) pollution in China, and establishing a high-precision PM2.5 grid dataset will be very valuable for air pollution and related studies.  ...  Thus, VIIRS will play an important role in extending the EOS long-term observations [25, 26] .  ... 
doi:10.3390/rs13030505 fatcat:7hzsdpflujagvdtw4p4to4nzlm

Estimating the global abundance of ground level presence of particulate matter (PM2.5)

David J. Lary, Fazlay S. Faruque, Nabin Malakar, Alex Moore, Bryan Roscoe, Zachary L. Adams, York Eggelston
2014 Geospatial Health  
Here we use a suite of remote sensing and meteorological data products together with groundbased observations of particulate matter from 8,329 measurement sites in 55 countries taken 1997-2014 to train  ...  In this first paper of a series, we present the methodology and global average results from this period and demonstrate that the new PM 2.5 data product can reliably represent global observations of PM  ...  Acknowledgments It is a pleasure to acknowledge the Institute for Integrative Health, the University of Texas at Dallas, DoD TATRC for  ... 
doi:10.4081/gh.2014.292 pmid:25599634 fatcat:ois5zmihwrd7zck5hqmbcdvcri

LPTMM 2022 Light Pollution: Theory, Modelling and Measurements international conference [article]

Aubé, Martin (Sci. Ed.), Kocifaj, Miroslav (Sci. Ed.), Pawley, Martin (Tech. Ed.)
2022 Zenodo  
Book of abstracts of the LPTMM 2022 Light Pollution: Theory, Modelling and Measurements international conference  ...  Analyzing In this study, based on the VIIRS monthly product and land use data, we analyzed the long-term ALAN in Hong Kong between 2012 and 2019.  ...  We could not detect any long-term trend in the level of ALAN of Hong Kong from this dataset over the eight years of observations at the level of detection accuracy of the VIIRS monthly data.  ... 
doi:10.5281/zenodo.7032698 fatcat:zqizesutn5b77ehbwo4mzxuy6u

Knowledge Extracted from Copernicus Satellite Data

Dumitru Octavian, Schwarz Gottfried, Eltoft Torbjørn, Kræmer Thomas, Wagner Penelope, Hughes Nick, Arthus David, Fleming Andrew, Koubarakis Manolis, Datcu Mihai
2019 Zenodo  
During the development of deep learning algorithms, a key activity is to establish a large amount of referenced Earth Observation data.  ...  In this publication, we focus on the Polar case which requires the selection of validation areas, the generation of a training dataset, the development and testing of deep learning algorithms, and the  ...  The system integrate data, product, information for user to access. Data management system focus data integration and applications.  ... 
doi:10.5281/zenodo.3941573 fatcat:zzifwgljifck5bpjnboetsftfu

An overview of MATISSE-v2.0

Luc Labarre, Karine Caillault, Sandrine Fauqueux, Claire Malherbe, Antoine Roblin, Bernard Rosier, Pierre Simoneau, Karin Stein, John D. Gonglewski
2010 Optics in Atmospheric Propagation and Adaptive Systems XIII  
This Programme is based on commitments received up to the time of publication and is subject to change without notice.  ...  SPIE would like to express its deepest appreciation to the symposium chairs, conference chairs, Programme committees, and session chairs who have so generously given of their time and advice to make this  ...  Acknowledgement: Thanks to Total E&P Norge AS for funding this study, thanks to NOFO for letting us participate in the exercise, and thanks to KSAT, InfoTerra and The Norwegian Meteorological Institute  ... 
doi:10.1117/12.868183 fatcat:5anlqspzzzcftfufaxvlr45zve

JPSS Science Seminar annual digest 2017

Joint Polar Satellite System Program (U.S.)
2017
Boulder and Cooperative Sources Loria, K., "Nearly 2 million acres of land are burning across the US in one of the worst fire seasons we've ever seen", Business Insider, Sep. 14, 2017.  ...  Acknowledgment: The HRRR-Smoke model is developed and simulated by researchers at the NOAA/ESRL Global Systems Division and Cooperative Institute of Research in Environmental Sciences (CIRES) of CU  ...  The NOAA-20 satellite carries five instruments that will improve day-to-day weather forecasting while extending the record of many long-term observations of Earth's climate.  ... 
doi:10.7289/v5x928jt fatcat:cstdzmc4cjbl5e5pv6ew45wd5u

Joint Polar Satellite System Science Seminar annual digest, 2015

Joint Polar Satellite System Program (U.S.)
2015
In all, JPSS is equipped with five state-of-the-art instruments: the Visible Infrared Imaging Radiometer Suite (VIIRS), the Cross-track Infrared Sounder (CrIS), the Advanced Technology Microwave Sounder  ...  The data collected from this experiment will be analyzed and used to help improve precipitation predictions. Atmospheric River Observatory, Bodega Bay, California. CREDIT: Clark King, NOAA  ...  JPSS enables scientists and forecasters to monitor and predict weather patterns with greater accuracy and to study long-term climate trends by extending the more than 30-year satellite data record.  ... 
doi:10.7289/v5fj2f2p fatcat:g6mm4x6kdrgzrjvoj2txvwyaky