Get started
Author

Ke Li

ORCID: 0000-0002-9257-3572
Observed ORCID: 0000-0002-9257-3572
OpenAlex ID: A5079495178
LGHAP v2: a global gap-free aerosol optical depth and PM 2.5 concentration dataset since 2000 derived via big Earth data analytics
2024 · Kaixu Bai, Ke Li, et al. · Earth system science data · 46
Developing unbiased estimation of atmospheric methane via machine learning and multiobjective programming based on TROPOMI and GOSAT data
2024 · Ke Li, Kaixu Bai, et al. · Remote Sensing of Environment · 31
Spatially gap free analysis of aerosol type grids in China: First retrieval via satellite remote sensing and big data analytics
2022 · Ke Li, Kaixu Bai, et al. · ISPRS Journal of Photogrammetry and Remote Sensing · 26
SSRMF: A sparse spectral reconstruction enhanced matched filter for improving point-source methane emission detection in complex terrain
2025 · Ke Li, Kaixu Bai, et al. · ISPRS Journal of Photogrammetry and Remote Sensing · 13
Improving machine-learned surface NO2 concentration mapping models with domain knowledge from data science perspective
2024 · Mengqian Hu, Kaixu Bai, et al. · Atmospheric Environment · 9
SCAGAT: A scene-aware ensemble graph attention network for global PM2.5 pollution mapping via land–atmosphere interactions
2025 · Kaixu Bai, Ke Li, et al. · ISPRS Journal of Photogrammetry and Remote Sensing · 6
CH4Vision: Machine Learning Estimation of Methane Flux with GaoFen-5 Hyperspectral Imagery
2026 · Ke Li, Penglong Jiao, et al. · Journal of Remote Sensing
Supplementary material to "LGHAP v2: A global gap-free aerosol optical depth and PM 2.5 concentration dataset since 2000 derived via big earth data analytics"
2024 · Kaixu Bai, Ke Li, et al.
PDF
Works count: 8
Citation count: 131
H-index: 6
I10-index: 4
Year
Topic
Type