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Global Annual PM2.5 Grids from MODIS, MISR and SeaWiFS Aerosol Optical Depth (AOD) with GWR, 1998-2016

CMR Search2026-03-21 收录

大气颗粒物遥感反演

全球PM2.5浓度估算

数据链接：

https://doi.org/10.7927/H4H41PB4 数据链接链接失效反馈

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资源简介：

Global Annual PM2.5 Grids from MODIS, MISR and SeaWiFS Aerosol Optical Depth (AOD) with GWR, 1998-2016

应用场景：

全球PM2.5浓度估算

地理空间深度学习

Deep learning models have demonstrated success in geospatial applications, yet quantifying the role of geolocation information in enhancing model performance and geographic generalizability remains un

Figshare2025-05-23 更新50

S5P2PM

空气污染监测

全球PM2.5浓度估算

Data associated with the article: PM2.5 Retrieval with Sentinel-5P Data over Europe Exploiting Deep LearningThis dataset provides pre-processed Sentinel-5P imagery reprojected onto the CAMS grid for P

IEEE20

LGHAP v2: Global daily 1-km gap-free AOD grids (2023)

气溶胶遥感

全球PM2.5浓度估算

A Long-term Gap-free High-resolution Air Pollutants concentration dataset (abbreviated as LGHAP) is of great significance for environmental management and earth system science analysis. In the current

NIAID Data Ecosystem10

Long-term (2003-2020) hourly 0.25° global PM2.5 dataset (DeepCAMS) Part-2: 2012-2020

全球PM2.5浓度估算

空气污染监测

This is part II (2012-2020) of our DeepCAMS. Part I (2003-2011) can be found at: https://doi.org/10.5281/zenodo.6967082 Usage: The raw data -- (scaling factor: 0.1) --> the true PM2.5 concentratio

NIAID Data Ecosystem40

Gap-free 1km PM2.5 dataset in China (2000-present)

全球PM2.5浓度估算

长期空气污染暴露评估

This is the monthly PM2.5 estimates across China from 2000 to 2022. If you want daily dataset, please go to 10.5281/zenodo.7229348. More datasets can be found on the right navigation panel of 10.5281/

NIAID Data Ecosystem10

Global Annual PM2.5 Grids from MODIS, MISR and SeaWiFS Aerosol Optical Depth (AOD) with GWR, 1998-2016

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