Article
Environmental Sciences
Ming Zhang, Lei Zhang, Qingqing He, Yanbin Yuan
Summary: The study evaluated the performance of the MODIS C6.1 3 km AOD product over China, finding that the C6.1_3km product outperformed the C6_3km product in urban areas and showed similar performance to the C6.1_10km product. However, there still exists an overestimation of AOD values over urban areas in the C6.1_3km aerosol product, and refinement of the DT algorithm is needed for further improvement.
ATMOSPHERIC ENVIRONMENT
(2022)
Article
Environmental Sciences
Yu Wang, Md Arfan Ali, Muhammad Bilal, Zhongfeng Qiu, Song Ke, Mansour Almazroui, Md Monirul Islam, Yuanzhi Zhang
Summary: This study analyzed aerosol optical depth (AOD) data in 13 cities of Jiangsu Province, finding higher AOD in summer and lower in winter, with relatively common frequencies of 0.3 <= AOD < 0.5 associated with anthropogenic activities, increased emissions, and changes in meteorological circumstances.
Article
Environmental Sciences
Somaya Falah, Alaa Mhawish, Meytar Sorek-Hamer, Alexei I. Lyapustin, Itai Kloog, Tirthankar Banerjee, Fadi Kizel, David M. Broday
Summary: This study highlights the importance of spatial and temporal averaging in AOD retrievals, as well as the significant impact of different environmental attributes on the accuracy of MAIAC AOD retrievals. Vegetated areas showed better performance in AOD retrievals compared to arid areas, indicating the sensitivity of retrieval accuracy to environmental factors.
ATMOSPHERIC ENVIRONMENT
(2021)
Article
Environmental Sciences
Ping Wang, Qingxin Tang, Yuxin Zhu, Ke Zheng, Tianquan Liang, Quanzhou Yu, Yaqian He
Summary: This study verified the accuracy and applicability of the MAIAC AOD 1 km products in East Asia using AERONET AOD data. The results showed that MAIAC AOD had overall high accuracy in East Asia, but there were differences in performance among different regions and climate zones.
Article
Environmental Sciences
Horatiu Ioan Stefanie, Andrei Radovici, Alexandru Mereuta, Viorel Arghius, Horia Camarasan, Dan Costin, Camelia Botezan, Camelia Ginsca, Nicolae Ajtai
Summary: This study investigates the aerosol climatology in the Cluj-Napoca area in Romania using 10 years of ground-based measurements from 2010 to 2020. The results show higher aerosol loads in July and August, and the angstrom exponent has the lowest values in April and May, and the highest in August. The study also performs aerosol classification using AERONET data.
Article
Environmental Sciences
Akhilesh Kumar, Manu Mehta
Summary: This study explores the applicability of a simple iterative approach for retrieving aerosol optical depth (AOD) over diverse land surface types. The results show a strong correspondence between retrieved AOD and actual measurements, indicating that the iterative approach can be adopted for most sensors.
ATMOSPHERIC ENVIRONMENT
(2023)
Article
Environmental Sciences
Manish Soni, Amit Singh Chandel, Sunita Verma, Swagata Payra, Divya Prakash, Brent Holben
Summary: This study investigates the aerosol climatology over four AERONET sites on different continents, revealing high aerosol concentration and dominance of dust aerosols in locations like Jaipur and Ilorin, while sites in America and Australia are relatively pristine. The radiative forcing and efficiency also vary significantly between Africa-Asia and America-Australia sites.
ATMOSPHERIC ENVIRONMENT
(2021)
Article
Environmental Sciences
Manish Soni, Sunita Verma, Manoj K. Mishra, R. K. Mall, Swagata Payra
Summary: This study uses a combination of satellite retrievals and a weather model to estimate ground-level PM10 concentration. The results show that the model captures the spatial pattern of PM10 well, but underestimates the aerosol loading. A scaling is applied to improve the estimation, resulting in better agreement with observational data. The study demonstrates the importance of integrating satellite data and models for accurate estimation of particulate pollution.
Article
Environmental Sciences
Rafael Palacios, Danielle C. S. Nassarden, Marco A. Franco, Fernando G. Morais, Luiz A. T. Machado, Luciana Rizzo, Glauber Cirino, Augusto G. C. Pereira, Priscila dos S. Ribeiro, Lucas R. C. Barros, Marcelo S. Biudes, Leone F. A. Curado, Thiago R. Rodrigues, Jorge Menezes, Eduardo Landulfo, Paulo Artaxo
Summary: This study evaluated the performance of MODIS sensor products at six sites in the Amazon rainforest and found that the DT 10 km product performed well in the Amazon region, while the DT 3 km product did not perform well.
Article
Geography, Physical
Tao Zhang, Yuyu Zhou, Kaiguang Zhao, Zhengyuan Zhu, Ghassem R. Asrar, Xia Zhao
Summary: Aerosol loadings and their spatial distribution play a crucial role in air quality monitoring, climate research, and public health. Researchers have proposed a novel algorithm to fill the gaps in MODIS AOD product, which has been tested and cross-validated in China. The algorithm outperforms other methods in accuracy and meets the requirements of typical applications.
GISCIENCE & REMOTE SENSING
(2022)
Article
Environmental Sciences
Ruonan Fan, Yingying Ma, Shikuan Jin, Wei Gong, Boming Liu, Weiyan Wang, Hui Li, Yiqun Zhang
Summary: The latest version (V23) of the Multi-angle Imaging Spectro Radiometer (MISR) aerosol optical depth (AOD) products were evaluated and compared with AERONET and MODIS products. The study found that the MISR V23 products showed good accuracy and performed best in forested areas. However, as aerosol loading increased, the accuracy of the MISR AOD products decreased. Additionally, the study revealed that MISR tended to overestimate aerosol content in areas with low vegetation cover.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Environmental Sciences
Marion Ranaivombola, Nelson Begue, Hassan Bencherif, Tristan Millet, Venkataraman Sivakumar, Valentin Duflot, Alexandre Baron, Nkanyiso Mbatha, Stuart Piketh, Paola Formenti, Philippe Goloub
Summary: Fires during the rainy season in Southern Africa increase the amount of tropospheric aerosols, causing negative effects on the environment and human health. This study examines the characteristics and types of aerosols over Southern Africa and Reunion Island for a period of 13 years. The results reveal that in spring, high aerosol optical depth and Angstrom exponent are associated with biomass burning and urban industrial aerosols, as well as a mixed type of aerosol. The aerosols mainly originate from biomass burning areas near the study sites and, to a lesser extent, from remote sources like South America.
Article
Environmental Sciences
Muhammad Bilal, Alaa Mhawish, Md. Arfan Ali, Janet E. Nichol, Gerrit de Leeuw, Khaled Mohamed Khedher, Usman Mazhar, Zhongfeng Qiu, Max P. Bleiweiss, Majid Nazeer
Summary: The SEMARA approach, which combines the SREM and SARA methods, was used to retrieve AOD from satellite data over bright urban surfaces in Beijing. The approach showed high accuracy and small errors in the AOD retrievals, making it suitable for aerosol monitoring in urban areas.
Article
Environmental Sciences
Vipasha Sharma, Swagata Ghosh, Muhammad Bilal, Sagnik Dey, Sultan Singh
Summary: The study assessed the performance of Terra and Aqua MODIS collection 6.1 AOD product in studying seasonal and spatial variations of AOD over Delhi-NCR. The evaluation revealed better reliability of Dark Target AOD products relative to Deep Blue AOD over urbanized areas in North India.
ATMOSPHERIC POLLUTION RESEARCH
(2021)
Article
Environmental Sciences
Anum Liaqut, Salman Tariq, Isma Younes
Summary: In recent years, the South Asian region has faced frequent and severe smog events due to rapid population growth and increased anthropogenic activities, particularly in the Indo-Gangetic Plain (IGP). This study investigates aerosol properties over selected AERONET sites in the IGP during the smog period. Different aerosol types were categorized, and HYSPLIT cluster analysis was used to trace the transmission paths and potential sources of aerosols.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Geochemistry & Geophysics
Yang Chen, Qihao Weng, Luliang Tang, Xia Zhang, Muhammad Bilal, Qingquan Li
Summary: Landsat images are widely used in Earth observation and geoinformatics. However, cloud cover often affects the usability of these images. In this study, a spatiotemporal neural network with four modules was proposed to reconstruct Landsat images, achieving better results compared to existing methods.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Forestry
Karena Ka Wai Hui, Man Sing Wong, Coco Yin Tung Kwok, Hon Li, Sawaid Abbas, Janet E. Nichol
Summary: Urban trees in densely populated areas can pose risks to public safety and their stability may be affected by various factors. Developing a preventive alert system to detect potential failures of hazardous trees is a challenge in urban tree management. This study investigated root-plate tilt variations of trees during a typhoon and evaluated the correlation between tree response and tilt measurements. The results showed that root-plate movement to wind response is species-dependent, which can inform decision making for early identification of problematic trees.
Article
Environmental Sciences
Yuan Shi, Alexis Kai-Hon Lau, Edward Ng, Hung-Chak Ho, Muhammad Bilal
Summary: The study focuses on the issue of poor air quality in large high-density cities worldwide, particularly in Asia. Utilizing the land use regression model, the research integrates air quality data, satellite data, meteorological data, and spatial data, conducting modeling independently at city and neighborhood scales. The city-scale model shows better prediction performance, while building morphological indices and road network centrality metrics are effective indicators for PM2.5 spatial estimation at the neighborhood scale.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
(2022)
Article
Geosciences, Multidisciplinary
Md Arfan Ali, Muhammad Bilal, Yu Wang, Zhongfeng Qiu, Janet E. Nichol, Gerrit de Leeuw, Song Ke, Alaa Mhawish, Mansour Almazroui, Usman Mazhar, Birhanu Asmerom Habtemicheal, M. Nazrul Islam
Summary: Rapid industrialization, urbanization, and population growth in China have contributed significantly to air pollution. Evaluating long-term aerosol optical depth (AOD) data can enhance our understanding of spatiotemporal variations in air pollution. This study compared AOD values from different sources and found better correlations between MERRA-2 reanalysis AOD and MODIS DTB AOD than between CMIP6 AOD and MODIS DTB AOD in most regions of China. The study also observed increasing trends in AOD from 2000 to 2014, with air pollution control policies during the 12th Five Year Plan showing a greater reduction in AOD compared to the 11th Five Year Plan.
GEOSCIENCE FRONTIERS
(2022)
Article
Environmental Sciences
Md Arfan Ali, Muhammad Bilal, Yu Wang, Zhongfeng Qiu, Janet E. Nichol, Alaa Mhawish, Gerrit de Leeuw, Yuanzhi Zhang, Shamsuddin Shahid, Mansour Almazroui, M. Nazrul Islam, Muhammad Ashfaqur Rahman, Sanjit Kumar Mondol, Pravash Tiwari, Khaled Mohamed Khedher
Summary: This study utilizes MODIS data to assess the performance of CAMS and MERRA-2 in estimating AOD in Bangladesh. It also investigates the spatiotemporal variations and trends in AOD, and determines the contributions from different aerosol species and anthropogenic emissions. The findings suggest higher accuracy for CAMS than for MERRA-2.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2022)
Letter
Engineering, Environmental
Muhammad Bilal, Gerrit de Leeuw, Janet E. Nichol, Max P. Bleiweiss, Alaa Mhawish, Leiku Yang, Huabin Chai, Md. Arfan Ali
JOURNAL OF HAZARDOUS MATERIALS
(2023)
Article
Environmental Sciences
Mozhgan Bagherinia, Siamak Bodaghpour, Neamat Karimi, Fatemeh Ghasempour, Muhammad Bilal, Alaa Mhawish
Summary: Based on ground-based and satellite-based data, spatio-temporal analyses of air quality in Tehran during the lockdown periods in 2020 and 2021 were conducted. The study evaluated the differences in emissions of six air pollutants at different time scales. The results showed a decrease in pollution levels in 2020 compared to the baseline period, but a smaller reduction in 2021 and an increase in PM2.5 and PM10 levels. Satellite-based concentrations varied compared to the pre-lockdown year, with consistent trends in AOD during dust events in March and April.
GEOCARTO INTERNATIONAL
(2023)
Article
Environmental Sciences
Ning An, Farhan Mustafa, Lingbing Bu, Ming Xu, Qin Wang, Muhammad Shahzaman, Muhammad Bilal, Safi Ullah, Zhang Feng
Summary: In this study, the potential of space-based observations to monitor atmospheric CO2 changes at the city scale in Pakistan was evaluated using satellite data and anthropogenic CO2 emissions. The results showed higher CO2 concentrations in cities located along the China-Pakistan Economic Corridor (CPEC) routes. Strong and significant correlations were observed among all the datasets, indicating a relationship between CO2 emissions and other factors such as population density and NO2 tropospheric column.
Article
Environmental Sciences
Miao Zhang, Shiyong Chen, Xingang Zhang, Si Guo, Yunuo Wang, Feifei Zhao, Jinhan Chen, Pengcheng Qi, Fengxian Lu, Mingchun Chen, Muhammad Bilal
Summary: The purpose of this study is to investigate the air quality levels of Nanyang city according to Chinese air quality standards. The study analyzed the concentrations of fine particulate matter (PM2.5), coarse particulate matter (PM10), and total suspended particulate (TSP) from 19 November 2021 to 19 March 2022 in Nanyang city. The results showed that the air quality in Nanyang city remains polluted in winter, with higher concentrations of PM2.5 compared to PM10 and TSP. Vehicular emissions were identified as a major cause of air pollution in the city, and there was a positive correlation between particulate matter and relative humidity.
Editorial Material
Medicine, General & Internal
Muhammad Bilal, Gerrit de Leeuw, Janet E. Nichol, Max P. Bleiweiss, Leiku Yang, Huabin Chai, Alaa Mhawish, Md Arfan Ali
ANNALS OF MEDICINE AND SURGERY
(2022)
Article
Remote Sensing
Majid Nazeer, Mohammad M. M. Alsahli, Janet Elizabeth Nichol, Jiayi Pan, Weicheng Wu, Muhammad Bilal, Urooj Saeed
Summary: The overgrowth of algae in aquatic ecosystems is a serious threat, and it has been increasing due to human activities. To protect and sustain these ecosystems, it is crucial to understand how the aquatic environment promotes algae growth through comprehensive monitoring. We propose a novel Three band Macroalgae Index (TMI) using Landsat-8 Operational Land Imager (OLI) to detect and monitor algae overgrowth in aquatic ecosystems.
INTERNATIONAL JOURNAL OF REMOTE SENSING
(2023)
Article
Forestry
Sawaid Abbas, Janet E. Nichol, Syed Muhammad Irteza, Muhammad Usman
Summary: In Hong Kong, grasslands are maintained by fire on disturbed and abandoned land and native forests are regenerating in many areas alongside frequent burning. Understanding the major determinants of secondary succession is important for forest management policies, as forests are important for biodiversity conservation, watershed protection, and carbon cycling. This study examines the relationship between burning regimes and forest succession using satellite images, aerial photographs, and field plot data. The results show that moderate burning allows the regeneration of native forests, and once the shrub stage is reached, succession to closed forest is relatively rapid.
Article
Environmental Sciences
Miao Zhang, Si Guo, Yunuo Wang, Shiyong Chen, Jinhan Chen, Mingchun Chen, Muhammad Bilal
Summary: A ground-based dual-wavelength lidar system was used to investigate the vertical distribution of aerosol optical characteristics in Nanyang City. The results showed higher aerosol loadings and variations at different altitudes on polluted days compared to non-polluted days. The study also found that aerosol optical depth values were ten times larger on polluted days than non-polluted days.
Article
Computer Science, Information Systems
Muhammad Usman, Mahnoor Ejaz, Janet E. Nichol, Muhammad Shahid Farid, Sawaid Abbas, Muhammad Hassan Khan
Summary: Farmland trees play a crucial role in the local economy, providing farmers with various resources such as fuelwood, food, fodder, medicines, and building materials. Mapping tree species is essential for ecological, socio-economic, and natural resource management purposes. This study examines the use of high-resolution remotely sensed imagery for tree species classification in the agricultural landscape of Northern Nigeria.
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
(2023)
Article
Ecology
Umesh Chandra Dumka, Panagiotis G. Kosmopoulos, Effrosyni Baxevanaki, Dimitris G. Kaskaoutis, Muhammad Nurul Huda, Md Firoz Khan, Muhammad Bilal, Balram Ambade, Sujan Khanal, Pavel Munshi
Summary: This study estimates the radiative forcing by biomass burning and dust aerosols over the Indian subcontinent, highlighting the importance of growing biomass burning for climate change and air quality in the region.
