9 citations · 11 across the 3 of their papers we have counts for
3 papers
physics.ao-ph2024★ 1 cited
Reconstructing Global Daily CO2 Emissions via Machine Learning
Tao Li, Lixing Wang, Zihan Qiu +9
High temporal resolution CO2 emission data are crucial for understanding the drivers of emission changes, however, current emission dataset is only available on a yearly basis. Her…
physics.soc-ph2022★ 1 cited
Worldwide scaling of waste generation in urban systems
Mingzhen Lu, Chuanbin Zhou, Chenghao Wang +2
The production of waste as a consequence of human activities is one of the most fundamental challenges facing our society and global ecological systems. Waste generation is rapidly…
cs.CV2022★ 9 cited
METER-ML: A Multi-Sensor Earth Observation Benchmark for Automated Methane Source Mapping
Bryan Zhu, Nicholas Lui, Jeremy Irvin +7
Reducing methane emissions is essential for mitigating global warming. To attribute methane emissions to their sources, a comprehensive dataset of methane source infrastructure is…