环境科学
卫星
估计
采样(信号处理)
遥感
气象学
地理
计算机科学
电信
物理
工程类
天文
探测器
系统工程
作者
Hongtao Duan,Qitao Xiao,Tianci Qi
标识
DOI:10.59717/j.xinn-geo.2023.100025
摘要
<p>Inland waters such as lakes are important CO<sub>2</sub> emitter, however, accurately estimate the emissions is still a big challenge, leading to large uncertainty to the terrestrial carbon sinks estimation. Compared to the abundant lakes with diverse types, the limited sampling data with strong randomness at global, national, regional-scale contributed to large uncertainly of lake CO<sub>2</sub> emissions estimation. Satellites have accumulated a large amount of long-term data at large spatial coverage with high temporal resolution, which not only can depict the current situation but also can reconstruct the past, and then play crucial role in lake CO<sub>2</sub> emissions estimation via mapping. In this perspective, we highlight the key opportunities and challenges of lake CO<sub>2</sub> estimation with satellite. We believe that satellite remote sensing holds the potential to address the existing knowledge gap in lake CO<sub>2</sub> emissions.</p>
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