Reconstructing 1-km-resolution high-quality PM2. 5 data records from 2000 to 2018 in China: spatiotemporal variations and policy implications
Exposure to fine particulate matter (PM 2.5) can significantly harm human health and
increase the risk of death. Satellite remote sensing allows for generating spatially …
increase the risk of death. Satellite remote sensing allows for generating spatially …
Improved 1 km resolution PM2.5 estimates across China using enhanced space–time extremely randomized trees
Fine particulate matter with aerodynamic diameters≤ 2.5 µ m (PM 2.5) has adverse effects
on human health and the atmospheric environment. The estimation of surface PM 2.5 …
on human health and the atmospheric environment. The estimation of surface PM 2.5 …
2019 年中国陆表定量遥感发展综述
梁顺林， 白瑞， 陈晓娜， 程洁， 范闻捷， 何涛， 贾坤… - 遥感学报, 2021 - ygxb.ac.cn
为了更好地了解中国定量遥感的发展态势和加强同行之间的信息交流, 根据中国学者2019
年发表的SCI 检索论文和部分中文论文, 对陆表定量遥感的核心进展进行了总结 …
年发表的SCI 检索论文和部分中文论文, 对陆表定量遥感的核心进展进行了总结 …
Advances in sunphotometer-measured aerosol optical properties and related topics in China: Impetus and perspectives
Aerosol is a critical trace component of the atmosphere. Many processes in the Earth's
climate system are intimately related to aerosols via their direct and indirect radiative effects …
climate system are intimately related to aerosols via their direct and indirect radiative effects …
MODIS high-resolution MAIAC aerosol product: Global validation and analysis
This paper attempt to verify the accuracy of the Multi-Angle Implementation of Atmospheric
Correction (MAIAC) aerosol optical depth (AOD) product on a global scale using AOD …
Correction (MAIAC) aerosol optical depth (AOD) product on a global scale using AOD …
Spatiotemporal PM2. 5 estimations in China from 2015 to 2020 using an improved gradient boosting decision tree
W He, H Meng, J Han, G Zhou, H Zheng, S Zhang - Chemosphere, 2022 - Elsevier
Abstract Fine particulate matter (PM 2.5) with spatiotemporal continuity can provide
important basis for the assessment of adverse effects on human health. In recent years …
important basis for the assessment of adverse effects on human health. In recent years …
A high-precision aerosol retrieval algorithm (HiPARA) for advanced Himawari imager (AHI) data: Development and verification
Due to the complexity of land cover and aerosol types, the high-precision retrieval of land
aerosol properties is challenging. A land general aerosol (LaGA) algorithm called the High …
aerosol properties is challenging. A land general aerosol (LaGA) algorithm called the High …
A Spatial-Temporal Interpretable Deep Learning Model for improving interpretability and predictive accuracy of satellite-based PM2. 5
Being able to monitor PM 2.5 across a range of scales is incredibly important for our ability to
understand and counteract air pollution. Remote monitoring PM 2.5 using satellite-based …
understand and counteract air pollution. Remote monitoring PM 2.5 using satellite-based …
[PDF][PDF] PM2. 5 estimation using machine learning models and satellite data: A literature review
Most researchers are beginning to appreciate the use of remote sensing satellites to assess
PM2. 5 levels and use machine learning algorithms to automate the collection, make sense …
PM2. 5 levels and use machine learning algorithms to automate the collection, make sense …
Validation and comparison of high-resolution MAIAC aerosol products over Central Asia
Aerosols are an important contributor to global atmospheric environmental changes and
have critical effects on the global climate system and human health. Central Asia is one of …
have critical effects on the global climate system and human health. Central Asia is one of …