Article
Environmental Sciences
Qiangqiang Xu, Xiaoling Chen, Shangbo Yang, Linling Tang, Jiadan Dong
Summary: This study investigates the relationship between PM2.5 and Himawari satellite's AOD on different spatial and temporal scales in mainland China from 2016 to 2018. The research found that there are variations in correlation and ratio between PM2.5 and AOD in different time periods and urban agglomerations, with a unimodal pattern in PM2.5/AOD ratio in summer and winter, and changes in PM2.5-AOD relationship within a week in winter.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)
Article
Meteorology & Atmospheric Sciences
Yeseul Cho, Jhoon Kim, Jeewoo Lee, Myungje Choi, Hyunkwang Lim, Seoyoung Lee, Jungho Im
Summary: The study estimated the concentration of PM2.5 in East Asia by analyzing satellite data. By considering the spatial and temporal characteristics of ground-based PM2.5 measurements, a model was developed to predict PM2.5 concentrations. The study demonstrates the potential of satellite-based estimation for areas with limited measuring stations.
ATMOSPHERIC RESEARCH
(2023)
Article
Geochemistry & Geophysics
Yi Zhang, Shunlin Liang, Tao He, Dongdong Wang, Yunyue Yu, Han Ma
Summary: Surface incident shortwave radiation (ISR), an important component of the surface radiation budget, has been accurately estimated using refined optimization methods applied to new generation geostationary satellites, leading to improved estimations for hourly and diurnal ISR.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Environmental Sciences
Yuanlin Chen, Meng Fan, Mingyang Li, Zhongbin Li, Jinhua Tao, Zhibao Wang, Liangfu Chen
Summary: In this study, a data-driven aerosol optical depth (AOD) detection algorithm based on a deep neural network (DNN) model is proposed for Himawari-8/AHI. By combining various data sources, including satellite measurements, meteorological factors, and vegetation information, the DNN model demonstrates higher accuracy in AOD retrieval compared to traditional methods. The hourly AOD results indicate that the DNN model has the potential to improve AOD retrieval performance, particularly in the early morning and late afternoon, and reliably captures the spatial distribution of aerosol pollution on a regional scale.
Article
Environmental Sciences
Fangwen Bao, Ying Li, Jinhui Gao
Summary: Current aerosol remote sensing techniques without multi-view satellite sensors are unable to directly retrieve components such as black carbon (BC) and organic carbon (OC) due to limited available observations. However, this study introduces a new retrieval strategy for carbonaceous aerosols using geostationary single-view satellite data. By measuring changes in upward reflectance on clear and hazy days with varying surface reflectance, the strategy can retrieve BC and extra OC concentration parameters without prior quantification of Aerosol Optical Thickness (AOT). Sensitivity tests show that different scenarios of BC and OC volume fractions affect critical reflectance patterns. The retrieval is achieved by minimizing differences between measured critical reflectance and a set of look-up tables (LUTs), and random sampling consensus (RANSAC) is used to reduce cloud and anomalous pixel interference.
REMOTE SENSING OF ENVIRONMENT
(2023)
Article
Environmental Sciences
Lan Feng, Xin Su, Lunche Wang, Tao Jiang, Ming Zhang, Jinyang Wu, Wenmin Qin, Yanlong Chen
Summary: The study verified and compared the aerosol products of the Himawari-8 aerosol algorithm versions 2.1 and 3, finding that version 3 had better accuracy but did not meet certain metrics. The analysis results suggest that aerosol type parameters may be the dominant factor determining the aerosol optical depth error.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)
Article
Geochemistry & Geophysics
Han Ma, Shunlin Liang, Hanyu Shi, Yi Zhang
Summary: This study introduces a novel optimization method to estimate a suite of physically consistent land surface and atmospheric variables from high-resolution geostationary satellite data. The results demonstrate that the method can effectively estimate a group of atmospheric and land surface variables and be easily applied to other similar multispectral geostationary satellite data. Validation studies show that the proposed inversion framework works well for the retrieval of atmospheric and land surface variables.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2021)
Article
Agronomy
Yinghui Zhang, Hongliang Fang, Yao Wang, Sijia Li
Summary: This study proposes to estimate the intra-daily variations of the direct, diffuse, and total FAPARs from geostationary Himawari-8 AHI data, and validates the results with field measurements and other remote sensing products, showing good consistency.
AGRICULTURAL AND FOREST METEOROLOGY
(2021)
Article
Environmental Sciences
Masayuki Matsuoka, Hiroki Yoshioka
Summary: The use of Himawari-8 satellite equipped with an improved land observation sensor has attracted attention in land remote sensing. Geolocation errors are important issues in mountainous regions, and orthorectification is necessary for high geometric accuracy. This study uses the ray-tracing indirect method to address orthorectification issues with the Advanced Himawari Imager (AHI) data from the new-generation geostationary Earth orbit (GEO) satellites. Comparison with Sentinel-2 Multispectral Instrument (MSI) data shows improved geometric accuracy in high-elevation regions. Caution is needed when using GEO satellite data for land remote sensing in mountainous regions far from the subsatellite point.
Article
Geochemistry & Geophysics
Zhonghui Tan, Chao Liu, Shuo Ma, Xin Wang, Jian Shang, Jianjie Wang, Weihua Ai, Wei Yan
Summary: This study presents a machine learning-based multilayer cloud detection algorithm using AHI data, achieving high accuracy in identifying single-layer and multilayer clouds. The algorithm outperforms existing operational cloud products and suggests improvements for cloud top height retrievals by considering cloud vertical structures.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Remote Sensing
J. V. Hall, W. Schroeder, K. Rishmawi, M. Wooster, C. C. Schmidt, C. Huang, I. Csiszar, L. Giglio
Summary: The current generation of geostationary Earth-observing satellites have characteristics that are well suited for continuous active fire detection. The operational geostationary active fire products from NOAA and EUMETSAT have been tested for accuracy and shown to perform well and complement each other.
INTERNATIONAL JOURNAL OF REMOTE SENSING
(2023)
Article
Environmental Sciences
Xin Su, Lunche Wang, Ming Zhang, Wenmin Qin, Muhammad Bilal
Summary: The study proposed a land general aerosol algorithm for East Asia, achieving high-precision aerosol property detection through a spectral ratio library and statistical methods. HiPARA algorithm dynamically determined surface reflectance and aerosol types, with detected AOD showing high consistency with AERONET measurements.
REMOTE SENSING OF ENVIRONMENT
(2021)
Article
Environmental Sciences
Zengliang Zang, Wei You, Hancheng Ye, Yanfei Liang, Yi Li, Daichun Wang, Yiwen Hu, Peng Yan
Summary: A 3DVAR data assimilation system was developed for aerosol optical depth (AOD) and aerosol concentration observations, which showed significant improvement in the analysis accuracy and forecast skills of aerosols.
Article
Environmental Sciences
Seoyoung Lee, Myungje Choi, Jhoon Kim, Young-Je Park, Jong-Kuk Choi, Hyunkwang Lim, Jeewoo Lee, Minseok Kim, Yeseul Cho
Summary: In this study, the YAER algorithm was extended to GOCI-II data and the first results of aerosol optical properties retrieved from GOCI-II data were presented. The results showed that GOCI-II aerosol retrievals have a consistent spatial distribution with those from GOCI and provide AOD at a higher spatial resolution, revealing finer changes in aerosol concentrations.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Geochemistry & Geophysics
Hyunkwang Lim, Jhoon Kim, Seoyoung Lee, Yasuko Kasai, Sang Seo Park
Summary: This study attempted to retrieve aerosol layer height (ALH) using the Advanced Himawari Imager (AHI) to monitor diurnal changes in ALH and understand long-range transport. Aerosol optical properties (AOPs) were retrieved using the green-near infrared (NIR) band and then used to compute the top-of-atmosphere (TOA) reflectance of a highly sensitive band. The ALH was retrieved using the observed and calculated TOA reflectances.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2023)
Article
Geochemistry & Geophysics
Fangwen Bao, Tianhai Cheng, Ying Li, Shuaiyi Shi, Hong Guo, Yu Wu
Summary: This study proposes an algorithm to indirectly obtain aerosol SSA from VIIRS and characterize aerosol absorption over East Asia. The new parameterization scheme and updated aerosol assumptions make the algorithm work efficiently, achieving reasonable estimations under high aerosol loading conditions. The new SSA results show expected correlations with ground-based sun photometers, especially for high aerosol loading, with better correlations, lower mean biases, and most retrievals falling within the expected error envelope.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Environmental Sciences
Zeying Han, Xingfa Gu, Xin Zuo, Kaiyi Bi, Shuaiyi Shi
Summary: In this article, five semi-empirical BRDF models were quantitatively compared using multi-angle MISR measurements, and an adaptive algorithm was proposed for studying the turbid inland lake, Taihu Lake, China. The results showed that the Woerd-Pasterkamp2008 and Lee2011 models provided the best fits, and the use of an adaptive algorithm improved the accuracy. These findings provide a theoretical basis for BRDF models and effects over inland waters.
FRONTIERS IN ENVIRONMENTAL SCIENCE
(2022)
Article
Instruments & Instrumentation
Xinran Chen, Xingfa Gu, Peizhuo Liu, Dakang Wang, Faisal Mumtaz, Shuaiyi Shi, Qixin Liu, Yulin Zhan
Summary: The study proposes a cumulative land surface temperature index (cLST) based on multi-temporal images to evaluate the yearly impact of cropland changes on land surface temperature (LST). Results show that different crops have different effects on the thermal environment, with cotton having a higher cLST than other crops. The change in cropland area ratio is the main factor influencing the annual cLST change.
INFRARED PHYSICS & TECHNOLOGY
(2022)
Article
Environmental Sciences
Zeying Han, Tianhai Cheng, Xingfa Gu, Shuaiyi Shi, Xiaoyang Li, Kaiyi Bi
Summary: In Case II waters, AOD and bidirectional reflectance can be retrieved simultaneously using multi-angle measurements and a model based on water's inherent optical properties. The algorithm was evaluated against in situ measurements, demonstrating its accuracy. Furthermore, a good correlation was observed between the normalized remote sensing reflectance derived from the results and the AERONET-OC products obtained using an IOP-based correction approach.
FRONTIERS IN ENVIRONMENTAL SCIENCE
(2022)
Article
Meteorology & Atmospheric Sciences
Hao Zhu, Tianhai Cheng, Xiaoyang Li, Xiaotong Ye
Summary: This study systematically compares the accuracy of 16 publicly released products from multiple satellite sensors in China under various scenarios. By quantifying the accuracy of the products under different surface conditions, aerosol loadings, and particle size types, an accuracy ranking matrix is established to provide a priori knowledge for dataset construction. The merged results show significant improvements compared to the commonly used MODIS DT product in terms of retrieval percentage, correlation coefficient, mean absolute error, and national AOD coverage.
ATMOSPHERIC RESEARCH
(2022)
Article
Environmental Sciences
Yu Wu, Tianhai Cheng, Lijuan Zheng, Yonggen Zhang, Lili Zhang
Summary: Black carbon (BC) is an important aerosol species with significant radiative forcing effects, but the uncertainty in reproducing its morphologically simplified model leads to poorly constrained estimates. By using an aggregate model, we demonstrate that loose BC particles can be underestimated by up to 45% due to morphological simplification, leading to differences of up to 25% in estimated radiative forcing. We also observe that looser and larger BC aggregates exhibit amplified particle sizes through angular scattering. Our findings suggest that the morphological diversity of BC can be neglected at forward scattering angles (<30 degrees), which helps reduce the uncertainty in radiative forcing assessment.
ENVIRONMENTAL RESEARCH LETTERS
(2023)
Article
Green & Sustainable Science & Technology
Xiaoyang Li, Tianhai Cheng, Hao Zhu, Xiaotong Ye
Summary: Open fires produce pollutants that critically harm human health, but the details of exposure patterns are poorly known due to uncertainties regarding cross-region transport. This study investigated the pollution produced by open fires from different vegetation types and locations in China and assessed their exposure risks. Results showed that open fires significantly increased pollutant concentrations, aggravating the risks for millions of people. Different vegetation types and cross-region transport of pollutants should be considered when formulating pollution control measures.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Engineering, Civil
Xing Wang, Meizhen Wang, Xuejun Liu, Litao Zhu, Shuaiyi Shi, Thomas Glade, Mingzheng Chen, Yujia Xie, Yiguang Wu, Yufeng He
Summary: This study proposes a rain gauge method using near-infrared surveillance video, which extracts rain streaks and establishes a mapping relationship with rainfall intensity to achieve accurate rainfall estimation. It fills the gap in nighttime rainfall observations.
JOURNAL OF HYDROLOGY
(2023)
Article
Environmental Sciences
Xiaotong Ye, Tianhai Cheng, Xiaoyang Li, Hao Zhu
Summary: This study assesses the differences in total particulate matter (TPM) emissions when calculated using different satellite aerosol optical depth (AOD) data. Using high spatial resolution AOD data, a 90% decrease in TPM emission coefficients (Ce) is found in Australia, and the quality of Ce improves by 290%. Using 1 km AOD data instead of 10 km AOD data, the estimation of biomass burning TPM emissions in Australia during 2012-2020 decreases from 1.08Tg to 0.11Tg.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Environmental Sciences
Yuhang Guo, Xiaoying Li, Tianhai Cheng, Shenshen Li, Xinyuan Zhang, Wenjing Lu, Weifang Fang
Summary: This article constructs the Global Reference Atmospheric Profile Database (GRAP) based on satellite products and reanalysis data. The results show that GRAP has high spatial and temporal resolution and better fits the current real atmospheric state.
Correction
Green & Sustainable Science & Technology
Xiaoyang Li, Tianhai Cheng, Hao Zhu, Xiaotong Ye
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Geochemistry & Geophysics
Hao Zhu, Tianhai Cheng, Xiaoyang Li, Xiaotong Ye, Donghao Fan, Tao Tang, Lili Zhang
Summary: Fusing multiple satellite aerosol optical depth (AOD) products to produce high-quality aerosol records is necessary for climate-related research. In order to improve the fusion quality and computational efficiency, this study introduces a priori knowledge about the accuracy of the multisource AOD product into the fusion process. The results demonstrate that introducing the accuracy ranking matrix can generate higher quality AOD distributions with improved efficiency.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2023)
Article
Geochemistry & Geophysics
Debao Chen, Hong Guo, Xingfa Gu, Tianhai Cheng, Jian Yang, Yulin Zhan, Xiangqin Wei
Summary: This article establishes a spatial neighborhood deep neural network (SNDNN) model using convolutional neural networks (CNNs) to predict PM2.5 concentrations across China. The model shows high accuracy and stability in cross-validation from 2016 to 2020. A monthly SNDNN model is also established for more accurate predictions of seasonal and annual PM2.5 concentrations.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2023)
Article
Geochemistry & Geophysics
Yan Liu, Xingfa Gu, Tianhai Cheng, Yulin Zhan, Hu Zhang, Juan Li, Xiangqin Wei, Min Gao, Qian Zhang, Yuzhen Zhang
Summary: A temporal shape-based fusion method is proposed to effectively incorporate fine- and coarse-resolution observations, providing high-accuracy fused images for various regions without cloud-free input requirements.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)