用多颗卫星同步观测垃圾填埋场和油气设施甲烷排放，对比不同传感器性能。
Analysis of Local Methane Emissions Using Near-Simultaneous Multi-Satellite Observations: Insights from Landfills and Oil-Gas Facilities
- 利用多颗卫星的同步数据，通过积分质量增强模型量化排放。
- 发现垃圾填埋场排放稳定，油气设施排放随运营波动明显。
- 强调多传感器融合对填补时空观测空白的关键作用。
甲烷（CH4）是一种强效温室气体，其检测与量化对减缓温室效应至关重要。本研究基于部署在不同卫星平台（PRISMA、EnMAP、EMIT 和 GHGSat）上的高光谱成像光谱仪，开展近同时观测下甲烷排放的对比分析。研究聚焦油气设施和垃圾填埋场的排放特征，评估各传感器的一致性与精度，并分析源地的时序变化。垃圾填埋场以弥散且稳定的排放为特征，而油气设施受运营波动影响，呈现动态排放。采用积分质量增强（IME）模型量化排放率，并通过重叠观测进行跨卫星验证。研究揭示了各卫星系统的优劣，强调多传感器融合在弥合时空观测缺口中的关键作用。所得见解旨在提升全球甲烷监测框架，并为未来卫星设计提供排放精准量化指导。
原文摘要 · Abstract (English)
Methane (CH4) is a potent greenhouse gas, and its detection and quantification are crucial for mitigating the greenhouse effect. This study presents a comparative analysis of methane emissions observed using near-simultaneous observations from hyperspectral imaging spectrometers hosted aboard different satellite platforms (PRISMA, EnMAP, EMIT and GHGSat). Methane emissions from oil and gas facilities and landfills are analyzed to evaluate the consistency and precision of the sensors and temporal variability of the source. Landfills, characterized by diffuse and stable emissions, and dynamic oil and gas facilities, subject to operational variability, provide contrasting use cases for emission monitoring. Emission rates are quantified using the Integrated Mass Enhancement (IME) model and validated across satellites with overlapping acquisitions. This study highlights the advantages and limitations of each satellite system, emphasizing the critical role of multi-sensor integration in bridging temporal and spatial observation gaps. Insights derived here aim to enhance global methane monitoring frameworks and guide future satellite design for improved emission quantification.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。