• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利：CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法，用中文像聊天一样搜索，搜遍4000万医学文献。AI智能推荐，让科研检索更轻松。

立即免费搜索

文件翻译

保留排版，准确专业，支持PDF/Word/PPT等文件格式，支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述，25分钟生成高质量综述，智能提取关键信息，辅助科研写作。

立即免费体验

通过海陆地表面温度辐射计短波红外（SLSTR SWIR）数据探索归一化热点指数在支持活火山监测方面的潜力。

Exploring the Potential of a Normalized Hotspot Index in Supporting the Monitoring of Active Volcanoes Through Sea and Land Surface Temperature Radiometer Shortwave Infrared (SLSTR SWIR) Data.

作者信息

Falconieri Alfredo, Marchese Francesco, Ciancia Emanuele, Genzano Nicola, Mazzeo Giuseppe, Pietrapertosa Carla, Pergola Nicola, Plank Simon, Filizzola Carolina

机构信息

Institute of Methodologies for Environmental Analysis, National Research Council, 85050 Tito Scalo, Italy.

Department of Architecture, Built Environment and Construction Engineering (ABC), Politecnico di Milano Via Ponzio 31, 20133 Milan, Italy.

出版信息

Sensors (Basel). 2025 Mar 7;25(6):1658. doi: 10.3390/s25061658.

DOI:10.3390/s25061658
PMID:40292687
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11945171/
Abstract

Every year about fifty volcanoes erupt on average, posing a serious threat for populations living in the neighboring areas. To mitigate the volcanic risk, many satellite monitoring systems have been developed. Information from the medium infrared (MIR) and thermal infrared (TIR) bands of sensors such as the Moderate Resolution Imaging Spectroradiometer (MODIS) and the Visible Infrared Imaging Radiometer Suite (VIIRS) is commonly exploited for this purpose. However, the potential of daytime shortwave infrared (SWIR) observations from the Sea and Land Surface Temperature Radiometer (SLSTR) aboard Sentinel-3 satellites in supporting the near-real-time monitoring of thermal volcanic activity has not been fully evaluated so far. In this work, we assess this potential by exploring the contribution of a normalized hotspot index (NHI) in the monitoring of the recent Home Reef (Tonga Islands) eruption. By analyzing the time series of the maximum NHI value, computed over the Home Reef area, we inferred information about the waxing/waning phases of lava effusion during four distinct subaerial eruptions. The results indicate that the first eruption phase (September-October 2022) was more intense than the second one (September-November 2023) and comparable with the fourth eruptive phase (June-August 2024) in terms of intensity level; the third eruption phase (January 2024) was more difficult to investigate because of cloudy conditions. Moreover, by adapting the NHI algorithm to daytime SLSTR SWIR data, we found that the detected thermal anomalies complemented those in night-time conditions identified and quantified by the operational Level 2 SLSTR fire radiative power (FRP) product. This study demonstrates that NHI-based algorithms may contribute to investigating active volcanoes located even in remote areas through SWIR data at 500 m spatial resolution, encouraging the development of an automated processing chain for the near-real-time monitoring of thermal volcanic activity by means of night-time/daytime Sentinel-3 SLSTR data.

摘要

平均每年约有五十座火山喷发，对居住在邻近地区的居民构成严重威胁。为了降低火山风险，人们开发了许多卫星监测系统。为此，通常会利用中分辨率成像光谱仪（MODIS）和可见红外成像辐射仪套件（VIIRS）等传感器的中红外（MIR）和热红外（TIR）波段信息。然而，哨兵 - 3 卫星搭载的海陆表面温度辐射计（SLSTR）进行的白天短波红外（SWIR）观测在支持热火山活动近实时监测方面的潜力，迄今尚未得到充分评估。在这项工作中，我们通过探索归一化热点指数（NHI）在监测汤加群岛霍姆礁近期火山喷发中的作用来评估这一潜力。通过分析在霍姆礁区域计算得到的最大 NHI 值的时间序列，我们推断出了四次不同的陆上喷发期间熔岩喷发的增减阶段信息。结果表明，第一个喷发阶段（2022 年 9 月至 10 月）比第二个阶段（2023 年 9 月至 11 月）更强烈，在强度水平上与第四个喷发阶段（2024 年 6 月至 8 月）相当；由于多云天气，第三个喷发阶段（2024 年 1 月）更难进行调查。此外，通过使 NHI 算法适用于白天的 SLSTR SWIR 数据，我们发现检测到的热异常补充了由业务二级 SLSTR 火灾辐射功率（FRP）产品识别和量化的夜间热异常。这项研究表明，基于 NHI 的算法可能有助于通过 500 米空间分辨率的 SWIR 数据调查甚至位于偏远地区的活火山，这鼓励开发一种利用夜间/白天哨兵 - 3 SLSTR 数据进行热火山活动近实时监测的自动化处理链。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/73f1/11945171/98aa4057bbf0/sensors-25-01658-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/73f1/11945171/6fae1b4a3839/sensors-25-01658-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/73f1/11945171/a2d51afe0307/sensors-25-01658-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/73f1/11945171/82882e8a66f7/sensors-25-01658-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/73f1/11945171/cfddfed7fc64/sensors-25-01658-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/73f1/11945171/faa3493593a5/sensors-25-01658-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/73f1/11945171/54d23eae729d/sensors-25-01658-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/73f1/11945171/5ea43974521a/sensors-25-01658-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/73f1/11945171/d571d0c58c21/sensors-25-01658-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/73f1/11945171/3888530f09ee/sensors-25-01658-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/73f1/11945171/0fdcdb6101a0/sensors-25-01658-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/73f1/11945171/84f1f355943a/sensors-25-01658-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/73f1/11945171/d02165c4eb74/sensors-25-01658-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/73f1/11945171/98aa4057bbf0/sensors-25-01658-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/73f1/11945171/6fae1b4a3839/sensors-25-01658-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/73f1/11945171/a2d51afe0307/sensors-25-01658-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/73f1/11945171/82882e8a66f7/sensors-25-01658-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/73f1/11945171/cfddfed7fc64/sensors-25-01658-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/73f1/11945171/faa3493593a5/sensors-25-01658-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/73f1/11945171/54d23eae729d/sensors-25-01658-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/73f1/11945171/5ea43974521a/sensors-25-01658-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/73f1/11945171/d571d0c58c21/sensors-25-01658-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/73f1/11945171/3888530f09ee/sensors-25-01658-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/73f1/11945171/0fdcdb6101a0/sensors-25-01658-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/73f1/11945171/84f1f355943a/sensors-25-01658-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/73f1/11945171/d02165c4eb74/sensors-25-01658-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/73f1/11945171/98aa4057bbf0/sensors-25-01658-g013.jpg

相似文献

1
Exploring the Potential of a Normalized Hotspot Index in Supporting the Monitoring of Active Volcanoes Through Sea and Land Surface Temperature Radiometer Shortwave Infrared (SLSTR SWIR) Data.通过海陆地表面温度辐射计短波红外（SLSTR SWIR）数据探索归一化热点指数在支持活火山监测方面的潜力。
Sensors (Basel). 2025 Mar 7;25(6):1658. doi: 10.3390/s25061658.
2
Implementation of the NHI (Normalized Hot Spot Indices) Algorithm on Infrared ASTER Data: Results and Future Perspectives.实施归一化热点指数（NHI）算法于 ASTER 红外数据：结果与未来展望。
Sensors (Basel). 2021 Feb 23;21(4):1538. doi: 10.3390/s21041538.
3
Mapping and Tracking Forest Burnt Areas in the Indio Maiz Biological Reserve Using Sentinel-3 SLSTR and VIIRS-DNB Imagery.利用哨兵 3 SLSTR 和 VIIRS-DNB 图像绘制和跟踪印地欧玉米生物保护区的森林燃烧区。
Sensors (Basel). 2019 Dec 9;19(24):5423. doi: 10.3390/s19245423.
4
The Transition from MODIS to VIIRS for Global Volcano Thermal Monitoring.从 MODIS 向 VIIRS 过渡，实现全球火山热监测。
Sensors (Basel). 2022 Feb 22;22(5):1713. doi: 10.3390/s22051713.
5
The short life of the volcanic island New Late'iki (Tonga) analyzed by multi-sensor remote sensing data.利用多传感器遥感数据对汤加新拉泰伊基火山岛的短暂寿命进行了分析。
Sci Rep. 2020 Dec 18;10(1):22293. doi: 10.1038/s41598-020-79261-7.
6
Mid-Infrared Emissivity Retrieval from Nighttime Sentinel-3 SLSTR Images Combining Split-Window Algorithms and the Radiance Transfer Method.从中红外发射率检索从夜间哨兵-3 SLSTR 图像结合分裂窗口算法和辐射传输方法。
Int J Environ Res Public Health. 2022 Dec 20;20(1):37. doi: 10.3390/ijerph20010037.
7
The Capabilities of Dedicated Small Satellite Infrared Missions for the Quantitative Characterization of Wildfires.专用小型卫星红外任务对野火进行定量表征的能力。
J Imaging. 2022 Mar 18;8(3):78. doi: 10.3390/jimaging8030078.
8
Cooled infrared filters and dichroics for the sea and land surface temperature radiometer.
Appl Opt. 2013 Apr 1;52(10):2125-35. doi: 10.1364/AO.52.002125.
9
The evolution of the 2022-2024 eruption at Home Reef, Tonga, analyzed from space shows vent migration due to erosion.对汤加霍姆礁2022 - 2024年火山喷发的演变进行的太空分析显示，由于侵蚀，火山口发生了迁移。
Sci Rep. 2025 Apr 3;15(1):11508. doi: 10.1038/s41598-025-95197-2.
10
NIR- and SWIR-based on-orbit vicarious calibrations for satellite ocean color sensors.基于近红外和短波红外的卫星海洋颜色传感器在轨替代定标
Opt Express. 2016 Sep 5;24(18):20437-53. doi: 10.1364/OE.24.020437.

本文引用的文献

1
Quantification of Gas Flaring from Satellite Imagery: A Comparison of Two Methods for SLSTR and BIROS Imagery.利用卫星图像对天然气燃烧进行量化：SLSTR和BIROS图像两种方法的比较
J Imaging. 2023 Jul 27;9(8):152. doi: 10.3390/jimaging9080152.
2
The Transition from MODIS to VIIRS for Global Volcano Thermal Monitoring.从 MODIS 向 VIIRS 过渡，实现全球火山热监测。
Sensors (Basel). 2022 Feb 22;22(5):1713. doi: 10.3390/s22051713.
3
The short life of the volcanic island New Late'iki (Tonga) analyzed by multi-sensor remote sensing data.
利用多传感器遥感数据对汤加新拉泰伊基火山岛的短暂寿命进行了分析。
Sci Rep. 2020 Dec 18;10(1):22293. doi: 10.1038/s41598-020-79261-7.