• 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

在芬兰利用模拟卫星数据和半经验算法进行水质检测。

Detection of water quality using simulated satellite data and semi-empirical algorithms in Finland.

作者信息

Härmä P, Vepsäläinen J, Hannonen T, Pyhälahti T, Kämäri J, Kallio K, Eloheimo K, Koponen S

机构信息

Finnish Environment Institute, Helsinki.

出版信息

Sci Total Environ. 2001 Mar 14;268(1-3):107-21. doi: 10.1016/s0048-9697(00)00688-4.

DOI:10.1016/s0048-9697(00)00688-4
PMID:11315735
Abstract

The aim of the study was to test the feasibility of the band combination of the TERRA MODIS and ENVISAT MERIS instruments for operational monitoring of lakes and coastal waters in Finland. Also simulated LANDSAT TM data were tested. Satellite bands were simulated using airborne measurements with AISA imaging spectrometer. Semi-empirical algorithms with simulated satellite data were tested against field observations using regression analysis. Interpretation of chlorophyll a, suspended matter, turbidity and secchi-disk depth was included in the analyses. The data for this study were gathered in campaigns carried out in May and August 1997 and August 1998 both for lakes in southern Finland and coastal waters of the Baltic Sea. The data set included 85 in situ observations for lakes and 107 for coastal waters. Our results show that the band combination to be included in the ENVISAT MERIS instrument enables the interpretation of water quality, including chlorophyll a concentration using semi-empirical algorithms both for lakes and coastal waters. MERIS band 9 centred at 705 nm is proven to be of vital importance for the detection of chlorophyll a in local surface waters.

摘要

该研究的目的是测试TERRA MODIS和ENVISAT MERIS仪器的波段组合用于芬兰湖泊和沿海水域业务监测的可行性。同时也对模拟的陆地卫星TM数据进行了测试。利用AISA成像光谱仪的航空测量来模拟卫星波段。使用回归分析,针对实地观测对带有模拟卫星数据的半经验算法进行了测试。分析中包括了对叶绿素a、悬浮物、浊度和塞氏盘深度的解读。本研究的数据是在1997年5月和8月以及1998年8月针对芬兰南部的湖泊和波罗的海沿海水域开展的活动中收集的。数据集包括85个湖泊的现场观测数据和107个沿海水域的现场观测数据。我们的结果表明,ENVISAT MERIS仪器中包含的波段组合能够利用半经验算法对湖泊和沿海水域的水质进行解读,包括叶绿素a浓度。事实证明,以705纳米为中心的MERIS波段9对于检测当地地表水的叶绿素a至关重要。

相似文献

1
Detection of water quality using simulated satellite data and semi-empirical algorithms in Finland.在芬兰利用模拟卫星数据和半经验算法进行水质检测。
Sci Total Environ. 2001 Mar 14;268(1-3):107-21. doi: 10.1016/s0048-9697(00)00688-4.
2
Retrieval of water quality from airborne imaging spectrometry of various lake types in different seasons.不同季节不同湖泊类型航空成像光谱水质反演
Sci Total Environ. 2001 Mar 14;268(1-3):59-77. doi: 10.1016/s0048-9697(00)00685-9.
3
Analysis on the feasibility of multi-source remote sensing observations for chl-a monitoring in Finnish lakes.芬兰湖泊叶绿素a监测中多源遥感观测的可行性分析
Sci Total Environ. 2001 Mar 14;268(1-3):95-106. doi: 10.1016/s0048-9697(00)00689-6.
4
Evaluation of chlorophyll-a retrieval algorithms based on MERIS bands for optically varying eutrophic inland lakes.基于 MERIS 波段的叶绿素-a 反演算法在光变富营养化内陆湖泊中的评价。
Sci Total Environ. 2015 Oct 15;530-531:373-382. doi: 10.1016/j.scitotenv.2015.05.115. Epub 2015 Jun 5.
5
Landsat ETM+ images in the estimation of seasonal lake water quality in boreal river basins.陆地卫星增强型专题绘图仪(ETM+)影像在北方河流流域季节性湖泊水质估算中的应用
Environ Manage. 2008 Sep;42(3):511-22. doi: 10.1007/s00267-008-9146-y. Epub 2008 May 29.
6
Monitoring water quality in a hypereutrophic reservoir using Landsat ETM+ and OLI sensors: how transferable are the water quality algorithms?利用 Landsat ETM+ 和 OLI 传感器监测富营养化水库水质:水质算法的可转移性如何?
Environ Monit Assess. 2018 Feb 15;190(3):141. doi: 10.1007/s10661-018-6506-9.
7
Mapping of the water quality of Lake Erken, Sweden, from imaging spectrometry and Landsat Thematic Mapper.利用成像光谱仪和陆地卫星专题制图仪对瑞典厄肯湖水质进行测绘。
Sci Total Environ. 2001 Mar 14;268(1-3):139-54. doi: 10.1016/s0048-9697(00)00683-5.
8
Detecting chlorophyll, Secchi disk depth and surface temperature in a sub-alpine lake using Landsat imagery.利用陆地卫星图像检测亚高山湖泊中的叶绿素、塞氏盘深度和表面温度。
Sci Total Environ. 2001 Mar 14;268(1-3):19-29. doi: 10.1016/s0048-9697(00)00692-6.
9
A semi-operative approach to lake water quality retrieval from remote sensing data.一种基于遥感数据的湖泊水质反演半操作方法。
Sci Total Environ. 2001 Mar 14;268(1-3):79-93. doi: 10.1016/s0048-9697(00)00687-2.
10
Evaluating the portability of satellite derived chlorophyll-a algorithms for temperate inland lakes using airborne hyperspectral imagery and dense surface observations.利用机载高光谱图像和密集的水面观测评估卫星衍生的叶绿素-a 算法在温带内陆湖泊中的可移植性。
Harmful Algae. 2018 Jun;76:35-46. doi: 10.1016/j.hal.2018.05.001. Epub 2018 May 15.

引用本文的文献

1
Validation and Comparison of Water Quality Products in Baltic Lakes Using Sentinel-2 MSI and Sentinel-3 OLCI Data.利用 Sentinel-2 MSI 和 Sentinel-3 OLCI 数据验证和比较波罗的海湖泊水质产品。
Sensors (Basel). 2020 Jan 29;20(3):742. doi: 10.3390/s20030742.
2
Monitoring water quality in a hypereutrophic reservoir using Landsat ETM+ and OLI sensors: how transferable are the water quality algorithms?利用 Landsat ETM+ 和 OLI 传感器监测富营养化水库水质:水质算法的可转移性如何?
Environ Monit Assess. 2018 Feb 15;190(3):141. doi: 10.1007/s10661-018-6506-9.
3
A Multivariate Model for Coastal Water Quality Mapping Using Satellite Remote Sensing Images.
一种利用卫星遥感影像绘制沿海水质图的多变量模型。
Sensors (Basel). 2008 Oct 10;8(10):6321-6339. doi: 10.3390/s8106321.
4
A Comprehensive Review on Water Quality Parameters Estimation Using Remote Sensing Techniques.利用遥感技术估算水质参数的综合综述
Sensors (Basel). 2016 Aug 16;16(8):1298. doi: 10.3390/s16081298.
5
Spatio-Temporal Variability of Aquatic Vegetation in Taihu Lake over the Past 30 Years.近30年来太湖水生植被的时空变化
PLoS One. 2013 Jun 18;8(6):e66365. doi: 10.1371/journal.pone.0066365. Print 2013.
6
Monitoring and validating spatio-temporal dynamics of biogeochemical properties in Mersin Bay (Turkey) using Landsat ETM+.利用 Landsat ETM+ 监测和验证梅尔辛湾(土耳其)生物地球化学性质的时空动态。
Environ Monit Assess. 2011 Oct;181(1-4):457-64. doi: 10.1007/s10661-010-1841-5. Epub 2010 Dec 23.
7
Assessment of temporal variations of water quality in inland water bodies using atmospheric corrected satellite remotely sensed image data.利用大气校正卫星遥感图像数据评估内陆水体水质的时间变化。
Environ Monit Assess. 2009 Dec;159(1-4):281-92. doi: 10.1007/s10661-008-0629-3. Epub 2008 Dec 6.
8
Application of MODIS satellite data in monitoring water quality parameters of Chaohu Lake in China.MODIS卫星数据在中国巢湖水质参数监测中的应用。
Environ Monit Assess. 2009 Jan;148(1-4):255-64. doi: 10.1007/s10661-008-0156-2. Epub 2008 Jan 30.
9
Assessment of chlorophyll-a concentration and trophic state for Lake Chagan using Landsat TM and field spectral data.利用陆地卫星专题制图仪(Landsat TM)和野外光谱数据评估查干湖的叶绿素a浓度和营养状态。
Environ Monit Assess. 2007 Jun;129(1-3):295-308. doi: 10.1007/s10661-006-9362-y. Epub 2006 Oct 21.