转向以全球卫星为基础的产品,监测内陆和沿海水域。来自欧洲和南美地区的例子

E. Spyrakos, P. Hunter, S. Simis, C. Neil, C. Riddick, S. Wang, A. Varley, M. Blake, S. Groom, J. T. Torres Palenzuela, L. Vilas Gonzalez, C. Cárdenas, M. Frangópulos, X. Aguilar Vega, J. Iriarte, A. Tyler
{"title":"转向以全球卫星为基础的产品,监测内陆和沿海水域。来自欧洲和南美地区的例子","authors":"E. Spyrakos, P. Hunter, S. Simis, C. Neil, C. Riddick, S. Wang, A. Varley, M. Blake, S. Groom, J. T. Torres Palenzuela, L. Vilas Gonzalez, C. Cárdenas, M. Frangópulos, X. Aguilar Vega, J. Iriarte, A. Tyler","doi":"10.1109/lagirs48042.2020.9165653","DOIUrl":null,"url":null,"abstract":"Surface waters are a fundamental resource. They fulfil key function in global biogeochemical cycles and are core to our water, food and energy security. The rapidly increasing rate of data collection from different Earth observation (EO) missions suitable for observing water bodies has promoted satellite remote sensing (RS) as a more widely recognised source of information on a number of indicators of water quality and ecosystem condition at local and global scales. In parallel, advances in optical sensors support new and more detailed characterisation of the Earth surface and could lead to innovative EO-based products. Nonetheless, RS of water colour of inland and coastal systems, especially in larger scales and over long-term time series, faces unique challenges. This study provides an overview of the challenges and solutions of developing a global observation platform, including the diverse and complex optical properties of inland waters and guided algorithm selection procedure required to deliver reliable data. The development and validation of a global satellite data processing chain (Calimnos) has been supported by access to an extensive in situ data from more than thirty partners around the world that are now held in the LIMNADES community-owned database. This approach has resulted in a step-change in our ability to produce regional and global water quality products for optically complex waters. Local examples of the data outputs will be explored and the opportunities in how these data can be embedded within local and national monitoring schemes to facilitate better management of water will be discussed.","PeriodicalId":111863,"journal":{"name":"2020 IEEE Latin American GRSS & ISPRS Remote Sensing Conference (LAGIRS)","volume":"79 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Moving towards global satellite based products for monitoring of inland and coastal waters. Regional examples from Europe and South America\",\"authors\":\"E. Spyrakos, P. Hunter, S. Simis, C. Neil, C. Riddick, S. Wang, A. Varley, M. Blake, S. Groom, J. T. Torres Palenzuela, L. Vilas Gonzalez, C. Cárdenas, M. Frangópulos, X. Aguilar Vega, J. Iriarte, A. Tyler\",\"doi\":\"10.1109/lagirs48042.2020.9165653\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Surface waters are a fundamental resource. They fulfil key function in global biogeochemical cycles and are core to our water, food and energy security. The rapidly increasing rate of data collection from different Earth observation (EO) missions suitable for observing water bodies has promoted satellite remote sensing (RS) as a more widely recognised source of information on a number of indicators of water quality and ecosystem condition at local and global scales. In parallel, advances in optical sensors support new and more detailed characterisation of the Earth surface and could lead to innovative EO-based products. Nonetheless, RS of water colour of inland and coastal systems, especially in larger scales and over long-term time series, faces unique challenges. This study provides an overview of the challenges and solutions of developing a global observation platform, including the diverse and complex optical properties of inland waters and guided algorithm selection procedure required to deliver reliable data. The development and validation of a global satellite data processing chain (Calimnos) has been supported by access to an extensive in situ data from more than thirty partners around the world that are now held in the LIMNADES community-owned database. This approach has resulted in a step-change in our ability to produce regional and global water quality products for optically complex waters. Local examples of the data outputs will be explored and the opportunities in how these data can be embedded within local and national monitoring schemes to facilitate better management of water will be discussed.\",\"PeriodicalId\":111863,\"journal\":{\"name\":\"2020 IEEE Latin American GRSS & ISPRS Remote Sensing Conference (LAGIRS)\",\"volume\":\"79 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE Latin American GRSS & ISPRS Remote Sensing Conference (LAGIRS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/lagirs48042.2020.9165653\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE Latin American GRSS & ISPRS Remote Sensing Conference (LAGIRS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/lagirs48042.2020.9165653","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

摘要

地表水是一种基本资源。它们在全球生物地球化学循环中发挥着关键作用,是我们的水、粮食和能源安全的核心。适合于观测水体的不同地球观测任务的数据收集率迅速增加,促使卫星遥感成为在地方和全球尺度上关于水质和生态系统状况的一些指标的更广泛认可的信息来源。与此同时,光学传感器的进步支持对地球表面进行新的、更详细的描述,并可能导致创新的基于eo的产品。然而,内陆和沿海系统的水色遥感,特别是在更大尺度和长期时间序列上,面临着独特的挑战。本研究概述了开发全球观测平台的挑战和解决方案,包括内陆水域多样化和复杂的光学特性以及提供可靠数据所需的指导算法选择程序。全球卫星数据处理链(Calimnos)的开发和验证得到了来自世界各地30多个合作伙伴的大量现场数据的支持,这些数据现在保存在LIMNADES社区拥有的数据库中。这种方法导致了我们为光学复杂的水域生产区域和全球水质产品的能力的逐步变化。将探讨数据输出的地方实例,并讨论如何将这些数据纳入地方和国家监测计划以促进更好地管理水的机会。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Moving towards global satellite based products for monitoring of inland and coastal waters. Regional examples from Europe and South America
Surface waters are a fundamental resource. They fulfil key function in global biogeochemical cycles and are core to our water, food and energy security. The rapidly increasing rate of data collection from different Earth observation (EO) missions suitable for observing water bodies has promoted satellite remote sensing (RS) as a more widely recognised source of information on a number of indicators of water quality and ecosystem condition at local and global scales. In parallel, advances in optical sensors support new and more detailed characterisation of the Earth surface and could lead to innovative EO-based products. Nonetheless, RS of water colour of inland and coastal systems, especially in larger scales and over long-term time series, faces unique challenges. This study provides an overview of the challenges and solutions of developing a global observation platform, including the diverse and complex optical properties of inland waters and guided algorithm selection procedure required to deliver reliable data. The development and validation of a global satellite data processing chain (Calimnos) has been supported by access to an extensive in situ data from more than thirty partners around the world that are now held in the LIMNADES community-owned database. This approach has resulted in a step-change in our ability to produce regional and global water quality products for optically complex waters. Local examples of the data outputs will be explored and the opportunities in how these data can be embedded within local and national monitoring schemes to facilitate better management of water will be discussed.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Deforestation Polygon Assessment Tool: Providing Comprehensive Information On Deforestation In The Brazilian Cerrado Biome Assessment of rainfall influence on sentinel-1 time series on amazonian tropical forests aiming deforestation detection improvement Spatial Association To Characterize The Climate Teleconnection Patterns In Ecuador Based On Satellite Precipitation Estimates Subsidence in Maceio, Brazil, Characterized by Dinsar and Inverse Modeling Preliminary Analysis For Automatic Tidal Inlets Mapping Using Google Earth Engine
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1