• 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

SEVIRI 超快速前向模式及其在发射率反演中的应用。

SEVIRI Hyper-Fast Forward Model with Application to Emissivity Retrieval.

机构信息

School of Engineering, University of Basilicata, 85100 Potenza, Italy.

ONERA, The French Aerospace Lab, 2 avenue Edouard Belin, 31055 Toulouse Cedex, France.

出版信息

Sensors (Basel). 2019 Mar 29;19(7):1532. doi: 10.3390/s19071532.

DOI:10.3390/s19071532
PMID:30934876
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6479871/
Abstract

Timely processing of observations from multi-spectral imagers, such as SEVIRI (Spinning Enhanced Visible and Infrared Imager), largely depends on fast radiative transfer calculations. This paper mostly concerns the development and implementation of a new forward model for SEVIRI to be applied to real time processing of infrared radiances. The new radiative transfer model improves computational time by a factor of ≈7 compared to the previous versions and makes it possible to process SEVIRI data at nearly real time. The new forward model has been applied for the retrieval of surface parameters. Although the scheme can be applied for the simultaneous retrieval of temperature and emissivity, the paper mostly focuses on emissivity. The inverse scheme relies on a Kalman filter approach, which allows us to exploit a sequential processing of SEVIRI observations. Based on the new forward model, the paper also presents a validation retrieval performed with in situ observations acquired during a field experiment carried out in 2017 at Gobabeb (Namib desert) validation station. Furthermore, a comparison with IASI (Infrared Atmospheric Sounder Interferometer) emissivity retrievals has been performed as well. It has been found that the retrieved emissivities are in good agreement with each other and with in situ observations, i.e., average differences are generally well below 0.01.

摘要

多光谱成像仪(如 SEVIRI(旋转增强可见和红外成像仪))的观测结果的及时处理在很大程度上取决于快速辐射传输计算。本文主要关注为应用于红外辐射的实时处理而开发和实施 SEVIRI 的新正向模型。与以前的版本相比,新的辐射传输模型将计算时间提高了约 7 倍,从而使 SEVIRI 数据能够接近实时处理。新的正向模型已应用于地表参数的反演。虽然该方案可用于同时反演温度和发射率,但本文主要侧重于发射率。逆方案依赖于卡尔曼滤波方法,这使我们能够利用 SEVIRI 观测的顺序处理。基于新的正向模型,本文还展示了在 2017 年在纳米布沙漠的 Gobabeb 验证站进行的现场实验中利用现场观测进行的验证检索。此外,还与 IASI(红外大气探测器干涉仪)的发射率检索进行了比较。结果发现,检索到的发射率彼此之间以及与现场观测值非常吻合,即平均差异通常远低于 0.01。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/057c/6479871/b9c168985990/sensors-19-01532-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/057c/6479871/9d4d00f446f6/sensors-19-01532-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/057c/6479871/2fdf9530fdc5/sensors-19-01532-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/057c/6479871/03d801608b1f/sensors-19-01532-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/057c/6479871/8e67feb0c6cf/sensors-19-01532-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/057c/6479871/da78a8a5b116/sensors-19-01532-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/057c/6479871/50a7323f96ca/sensors-19-01532-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/057c/6479871/64d4111ab607/sensors-19-01532-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/057c/6479871/2502e7fd9aa7/sensors-19-01532-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/057c/6479871/902d543ff19a/sensors-19-01532-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/057c/6479871/b9c168985990/sensors-19-01532-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/057c/6479871/9d4d00f446f6/sensors-19-01532-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/057c/6479871/2fdf9530fdc5/sensors-19-01532-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/057c/6479871/03d801608b1f/sensors-19-01532-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/057c/6479871/8e67feb0c6cf/sensors-19-01532-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/057c/6479871/da78a8a5b116/sensors-19-01532-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/057c/6479871/50a7323f96ca/sensors-19-01532-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/057c/6479871/64d4111ab607/sensors-19-01532-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/057c/6479871/2502e7fd9aa7/sensors-19-01532-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/057c/6479871/902d543ff19a/sensors-19-01532-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/057c/6479871/b9c168985990/sensors-19-01532-g010.jpg

相似文献

1
SEVIRI Hyper-Fast Forward Model with Application to Emissivity Retrieval.SEVIRI 超快速前向模式及其在发射率反演中的应用。
Sensors (Basel). 2019 Mar 29;19(7):1532. doi: 10.3390/s19071532.
2
Simultaneous physical retrieval of surface emissivity spectrum and atmospheric parameters from infrared atmospheric sounder interferometer spectral radiances.利用红外大气探测干涉仪光谱辐射亮度同时物理反演地表发射率光谱和大气参数。
Appl Opt. 2013 Apr 10;52(11):2428-46. doi: 10.1364/AO.52.002428.
3
Optimal Interpolation for Infrared Products from Hyperspectral Satellite Imagers and Sounders.高光谱卫星成像仪和探测器红外产品的最优插值
Sensors (Basel). 2020 Apr 21;20(8):2352. doi: 10.3390/s20082352.
4
Intercomparison of two BRDF models in the estimation of the directional emissivity in MIR channel from MSG1-SEVIRI data.利用MSG1-SEVIRI数据估计中红外通道方向发射率时两种双向反射分布函数(BRDF)模型的相互比较
Opt Express. 2008 Nov 10;16(23):19310-21. doi: 10.1364/oe.16.019310.
5
Retrieving Land Surface Temperature from Hyperspectral Thermal Infrared Data Using a Multi-Channel Method.使用多通道方法从高光谱热红外数据中反演地表温度
Sensors (Basel). 2016 May 13;16(5):687. doi: 10.3390/s16050687.
6
Retrieval of snow physical parameters by neural networks and optimal estimation: case study for ground-based spectral radiometer system.
Opt Express. 2015 Nov 30;23(24):A1442-62. doi: 10.1364/OE.23.0A1442.
7
Fast radiative transfer model for simulation of infrared atmospheric sounding interferometer radiances.
Appl Opt. 1999 Sep 20;38(27):5679-91. doi: 10.1364/ao.38.005679.
8
Practical retrieval of land surface emissivity spectra in 8-14 μm from hyperspectral thermal infrared data.从高光谱热红外数据中实际反演8-14μm波段的地表发射率光谱。
Opt Express. 2012 Oct 22;20(22):24761-8. doi: 10.1364/OE.20.024761.
9
A fast and accurate radiative transfer model for aerosol remote sensing.一种用于气溶胶遥感的快速准确的辐射传输模型。
J Quant Spectrosc Radiat Transf. 2020 Nov;256:107270. doi: 10.1016/j.jqsrt.2020.107270. Epub 2020 Aug 27.
10
Partially scanned interferogram methodology applied to IASI for the retrieval of CO, CO₂, CH₄ and N₂O.应用于红外大气探测干涉仪(IASI)的部分扫描干涉图方法用于反演一氧化碳(CO)、二氧化碳(CO₂)、甲烷(CH₄)和一氧化二氮(N₂O)。
Opt Express. 2013 Oct 21;21(21):24753-69. doi: 10.1364/OE.21.024753.

本文引用的文献

1
Diurnal emissivity dynamics in bare versus biocrusted sand dunes.裸沙丘与生物结皮沙丘的日发射率动态。
Sci Total Environ. 2015 Feb 15;506-507:422-9. doi: 10.1016/j.scitotenv.2014.11.035. Epub 2014 Nov 26.
2
Simultaneous physical retrieval of surface emissivity spectrum and atmospheric parameters from infrared atmospheric sounder interferometer spectral radiances.利用红外大气探测干涉仪光谱辐射亮度同时物理反演地表发射率光谱和大气参数。
Appl Opt. 2013 Apr 10;52(11):2428-46. doi: 10.1364/AO.52.002428.