ITD: A Multi-Camera system for permanent and real-time visible, thermal and gas monitoring at restless volcanoes

ITD：多摄像头系统，用于对不息火山进行永久实时可见光、热量和气体监测

• 批准号: 2240650
• 负责人: Yves Moussallam
• 金额: $ 48.49万
• 依托单位: Columbia University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-09-01 至 2025-08-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2240650&HistoricalAwards=false
• 关键词: ITD; Multi; Camera; system; permanent

This project aims at developing a novel Multi-Camera system for the permanent observation of active volcanoes. This innovative system will save on cost, power consumption, data volume and image analysis time by experts, compared to current capacities. The system will continuously monitor the volcano in the visible, infrared, and ultraviolet ranges and autonomously determine when to capture videos in each wavelength using automated image analysis. Subsequently, the system will analyze these videos to extract vital monitoring parameters, including the quantity of gas and ash emitted by the volcano, as well as the frequency and intensity of explosive events. This information will not only advance volcano forecasting efforts but also contribute to a better understanding of the mechanisms leading to volcanic eruptions.The majority of volcanoes exhibit early signs of unrest before a major eruption, which may include increased degassing, incandescence, or a higher frequency of explosions. However, in many instances, these critical indicators go unrecorded. The development of an integrated Multi-Camera system designed for visual, thermal, and gas monitoring is proposed. This system can be deployed for continuous and real-time monitoring of active volcanoes, even in remote areas where power and data transfer capabilities are severely limited. Besides the combined observation in three spectral ranges and the low cost of the proposed system, its novelty resides in its edge-computing approach whereby image processing is done by the system and parameters such as event detection, plume height, volume, ascent rate and SO2 flux are calculated automatically.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

该项目旨在开发一种新颖的多相机系统，用于永久观测活火山。与现有容量相比，这一创新系统将节省成本、功耗、数据量和专家图像分析时间。该系统将在可见光、红外线和紫外线范围内持续监测火山，并使用自动图像分析自动确定何时捕捉每个波长的视频。随后，系统将分析这些视频，提取重要的监测参数，包括火山排放的气体和火山灰的数量，以及爆炸事件的频率和强度。这些信息不仅将推进火山预报工作，而且有助于更好地了解导致火山喷发的机制。大多数火山在大喷发之前都会表现出不稳定的早期迹象，其中可能包括脱气增加、白炽化或爆发频率更高。然而，在许多情况下，这些关键指标并未被记录下来。建议开发一种专为视觉、热和气体监测而设计的集成多摄像头系统。该系统可以部署用于对活火山进行连续实时监测，即使是在电力和数据传输能力严重受限的偏远地区。除了三个光谱范围内的联合观测和所提出的系统的低成本之外，其新颖性还在于其边缘计算方法，即由系统完成图像处理，并自动计算事件检测、羽流高度、体积、上升速率和 SO2 通量等参数。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响审查进行评估，被认为值得支持 标准。