AI RESEARCH
TIRAuxCloud: A Thermal Infrared Dataset for Day and Night Cloud Detection
arXiv CS.CV
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ArXi:2602.21905v2 Announce Type: replace Clouds are a major obstacle in Earth observation, limiting the usability and reliability of critical remote sensing applications such as fire disaster response, urban heat island monitoring, and snow and ice cover mapping. Therefore, the ability to detect clouds 24/7 is of paramount importance. While visible and near-infrared bands are effective for daytime cloud detection, their dependence on solar illumination makes them unsuitable for nighttime monitoring.