• 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

卫星GF-1/WFV影像的大气校正及长江口悬浮颗粒物定量反演

Atmospheric Correction of Satellite GF-1/WFV Imagery and Quantitative Estimation of Suspended Particulate Matter in the Yangtze Estuary.

作者信息

Shang Pei, Shen Fang

机构信息

State Key Laboratory of Estuarine and Coastal Research, East China Normal University, Shanghai 200062, China.

出版信息

Sensors (Basel). 2016 Nov 25;16(12):1997. doi: 10.3390/s16121997.

DOI:10.3390/s16121997
PMID:27897987
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5190978/
Abstract

The Multispectral Wide Field of View (WFV) camera on the Chinese GF-1 satellite, launched in 2013, has advantages of high spatial resolution (16 m), short revisit period (4 days) and wide scene swath (800 km) compared to the Landsat-8/OLI, which make it an ideal means of monitoring spatial-temporal changes of Suspended Particulate Matter (SPM) in large estuaries like the Yangtze Estuary. However, a lack of proper atmospheric correction methods has limited its application in water quality assessment. We propose an atmospheric correction method based on a look up table coupled by the atmosphere radiative transfer model (6S) and the water semi-empirical radiative transfer (SERT) model for inversion of water-leaving reflectance from GF-1 top-of-atmosphere radiance, and then retrieving SPM concentration from water-leaving radiance reflectance of the Yangtze Estuary and its adjacent sea. Results are validated by the Landsat-8/OLI imagery together with autonomous fixed station data, and influences of human activities (e.g., waterway construction and shipping) on SPM distribution are analyzed.

摘要

2013年发射的中国高分一号（GF-1）卫星上的多光谱宽视场（WFV）相机，与陆地卫星8号/陆地成像仪（Landsat-8/OLI）相比，具有高空间分辨率（16米）、短重访周期（4天）和宽场景覆盖范围（800公里）的优势，这使其成为监测长江口等大型河口悬浮颗粒物（SPM）时空变化的理想手段。然而，缺乏合适的大气校正方法限制了其在水质评估中的应用。我们提出了一种基于查找表的大气校正方法，该查找表由大气辐射传输模型（6S）和水半经验辐射传输（SERT）模型耦合而成，用于从GF-1大气层顶辐射中反演离水反射率，然后从长江口及其邻近海域的离水辐射反射率中反演SPM浓度。结果通过陆地卫星8号/陆地成像仪图像以及自主固定站数据进行验证，并分析了人类活动（如航道建设和航运）对SPM分布的影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c877/5190978/9b6e80dea12f/sensors-16-01997-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c877/5190978/c25c2e2717b0/sensors-16-01997-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c877/5190978/821d8e7d0844/sensors-16-01997-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c877/5190978/cc2a96013311/sensors-16-01997-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c877/5190978/ad7fc348327d/sensors-16-01997-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c877/5190978/b88817bc7f05/sensors-16-01997-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c877/5190978/b53a45c80124/sensors-16-01997-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c877/5190978/ef8edcd76ea8/sensors-16-01997-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c877/5190978/a7f3ab4a9986/sensors-16-01997-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c877/5190978/5b639eac7e48/sensors-16-01997-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c877/5190978/346863393103/sensors-16-01997-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c877/5190978/9b6e80dea12f/sensors-16-01997-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c877/5190978/c25c2e2717b0/sensors-16-01997-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c877/5190978/821d8e7d0844/sensors-16-01997-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c877/5190978/cc2a96013311/sensors-16-01997-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c877/5190978/ad7fc348327d/sensors-16-01997-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c877/5190978/b88817bc7f05/sensors-16-01997-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c877/5190978/b53a45c80124/sensors-16-01997-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c877/5190978/ef8edcd76ea8/sensors-16-01997-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c877/5190978/a7f3ab4a9986/sensors-16-01997-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c877/5190978/5b639eac7e48/sensors-16-01997-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c877/5190978/346863393103/sensors-16-01997-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c877/5190978/9b6e80dea12f/sensors-16-01997-g011.jpg

相似文献

1
Atmospheric Correction of Satellite GF-1/WFV Imagery and Quantitative Estimation of Suspended Particulate Matter in the Yangtze Estuary.卫星GF-1/WFV影像的大气校正及长江口悬浮颗粒物定量反演
Sensors (Basel). 2016 Nov 25;16(12):1997. doi: 10.3390/s16121997.
2
Multi-source high-resolution satellite products in Yangtze Estuary: cross-comparisons and impacts of signal-to-noise ratio and spatial resolution.长江口的多源高分辨率卫星产品：信噪比和空间分辨率的交叉比较及影响
Opt Express. 2019 Mar 4;27(5):6426-6441. doi: 10.1364/OE.27.006426.
3
Consistency of Suspended Particulate Matter Concentration in Turbid Water Retrieved from Sentinel-2 MSI and Landsat-8 OLI Sensors.从 Sentinel-2 MSI 和 Landsat-8 OLI 传感器获取的混浊水中悬浮颗粒物浓度的一致性。
Sensors (Basel). 2021 Feb 28;21(5):1662. doi: 10.3390/s21051662.
4
Modification of 6SV to remove skylight reflected at the air-water interface: Application to atmospheric correction of Landsat 8 OLI imagery in inland waters.去除空气-水界面反射天光的 6SV 改进算法：应用于内陆水体中 Landsat 8 OLI 影像的大气校正。
PLoS One. 2018 Aug 24;13(8):e0202883. doi: 10.1371/journal.pone.0202883. eCollection 2018.
5
Wide Swath Stereo Mapping from Gaofen-1 Wide-Field-View (WFV) Images Using Calibration.基于定标利用高分一号宽视场（WFV）影像进行宽条带立体测绘
Sensors (Basel). 2018 Mar 1;18(3):739. doi: 10.3390/s18030739.
6
A simple optical model to estimate suspended particulate matter in Yellow River Estuary.一种用于估算黄河河口悬浮颗粒物的简单光学模型。
Opt Express. 2013 Nov 18;21(23):27891-904. doi: 10.1364/OE.21.027891.
7
Combining HJ CCD, GF-1 WFV and MODIS Data to Generate Daily High Spatial Resolution Synthetic Data for Environmental Process Monitoring.结合HJ CCD、GF-1 WFV和MODIS数据生成用于环境过程监测的每日高空间分辨率合成数据。
Int J Environ Res Public Health. 2015 Aug 20;12(8):9920-37. doi: 10.3390/ijerph120809920.
8
Remote sensing of diffuse attenuation coefficient patterns from Landsat 8 OLI imagery of turbid inland waters: A case study of Dongting Lake.利用 Landsat 8 OLI 影像遥感浑浊内陆水域的漫衰减系数分布：以洞庭湖为例。
Sci Total Environ. 2016 Dec 15;573:39-54. doi: 10.1016/j.scitotenv.2016.08.019. Epub 2016 Aug 20.
9
Leaf Area Index Estimation Using Chinese GF-1 Wide Field View Data in an Agriculture Region.利用中国 GF-1 宽视场数据估算农业区叶面积指数。
Sensors (Basel). 2017 Jul 8;17(7):1593. doi: 10.3390/s17071593.
10
Benthic Habitat Mapping Using Multispectral High-Resolution Imagery: Evaluation of Shallow Water Atmospheric Correction Techniques.利用多光谱高分辨率影像进行底栖生境制图：浅水大气校正技术评估
Sensors (Basel). 2017 Nov 16;17(11):2639. doi: 10.3390/s17112639.

引用本文的文献

1
Application of Photo Texture Analysis and Weather Data in Assessment of Air Quality in Terms of Airborne PM and PM Particulate Matter.利用图像纹理分析和气象数据评估空气中可吸入颗粒物和细颗粒物的空气质量。
Sensors (Basel). 2021 Aug 14;21(16):5483. doi: 10.3390/s21165483.
2
Out-of-Band Response for the Coastal Zone Imager (CZI) Onboard China's Ocean Color Satellite HY-1C: Effect on the Observation Just above the Sea Surface.中国海洋水色卫星 HY-1C 机载海岸带成像仪的带外响应：对海面上方观测的影响。
Sensors (Basel). 2018 Sep 12;18(9):3067. doi: 10.3390/s18093067.

本文引用的文献

1
Retrieval of water-leaving radiance and aerosol optical thickness over the oceans with SeaWiFS: a preliminary algorithm.利用海色宽视场传感器（SeaWiFS）反演海洋上空的离水辐射率和气溶胶光学厚度：一种初步算法。
Appl Opt. 1994 Jan 20;33(3):443-52. doi: 10.1364/AO.33.000443.
2
Computed relationships between the inherent and apparent optical properties of a flat homogeneous ocean.平坦均匀海洋的固有光学特性与表观光学特性之间的计算关系。
Appl Opt. 1975 Feb 1;14(2):417-27. doi: 10.1364/AO.14.000417.
3
Atmospheric correction of SeaWiFS imagery for turbid coastal and inland waters.
用于浑浊沿海和内陆水域的SeaWiFS图像的大气校正。
Appl Opt. 2000 Feb 20;39(6):897-912. doi: 10.1364/ao.39.000897.
4
Suspended sediment and sediment-associated contaminants in San Francisco Bay.旧金山湾的悬浮泥沙及与泥沙相关的污染物。
Environ Res. 2007 Sep;105(1):119-31. doi: 10.1016/j.envres.2007.02.002. Epub 2007 Apr 3.