加拿大努纳武特梅尔维尔岛邦蒂角北极流域观测站的生物地球物理变量遥感技术

IF 2.7 3区 地球科学 Q2 ECOLOGY
P.M. Treitz, D.M. Atkinson, A. Blaser, M.T. Bonney, C.A. Braybrook, E.C. Buckley, A. Collingwood, R. Edwards, K. van Ewijk, V. Freemantle, Fiona Marianne Gregory, J. Holloway, J. Hung, S. Lamoureux, N. Liu, G. Ljubicic, G. Robson, A.C.A. Rudy, N. A. Scott, C. Shang, J. Wall
{"title":"加拿大努纳武特梅尔维尔岛邦蒂角北极流域观测站的生物地球物理变量遥感技术","authors":"P.M. Treitz, D.M. Atkinson, A. Blaser, M.T. Bonney, C.A. Braybrook, E.C. Buckley, A. Collingwood, R. Edwards, K. van Ewijk, V. Freemantle, Fiona Marianne Gregory, J. Holloway, J. Hung, S. Lamoureux, N. Liu, G. Ljubicic, G. Robson, A.C.A. Rudy, N. A. Scott, C. Shang, J. Wall","doi":"10.1139/as-2023-0043","DOIUrl":null,"url":null,"abstract":"The Cape Bounty Arctic Watershed Observatory (CBAWO), Melville Island, Nunavut (74°55′N, 109°34′W) was established in 2003 to examine Arctic ecosystem processes that would be impacted by climate warming and permafrost degradation. This paper provides a synthesis of how remote sensing has contributed to biogeophysical modelling and monitoring at the CBAWO from 2003 to 2023. Given the location and isolated nature of the CBAWO in the Canadian High Arctic, remote sensing data and derivatives have been instrumental for studies examining ecosystem structure and function at local and landscape scales. In combination with field measurements, remote sensing data facilitated mapping and modelling of vegetation types, % vegetation cover and aboveground phytomass, soil moisture, carbon exchange rates, and permafrost degradation and disturbance. It has been demonstrated that even in an environment with limited vegetation cover and phytomass, spectral vegetation indices (e.g., the normalized difference vegetation index) are able to model various biogeophysical variables. These applications are feasible for research sites such as the CBAWO using high spatial resolution remote sensing data across the visible, infrared, and microwave regions of the electromagnetic spectrum. Furthermore, as the satellite record continues to expand, we will gain a greater understanding of the impacts arising from the expected continued warming at northern latitudes. Although the logistics for research in the Arctic remain challenging, today's technologies (e.g., high spatial resolution satellite remote sensing, automated in situ sensors and data loggers, and wireless communication systems) can support a host of scientific endeavours in the Arctic (and other remote sites) through modelling and monitoring of biogeophysical variables and Earth surface processes with limited but critical field campaigns. The research synthesized here for the CBAWO highlights the essential role of remote sensing of terrestrial ecosystems in the Canadian Arctic.","PeriodicalId":48575,"journal":{"name":"Arctic Science","volume":null,"pages":null},"PeriodicalIF":2.7000,"publicationDate":"2024-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Remote sensing of biogeophysical variables at the Cape Bounty Arctic Watershed Observatory, Melville Island, Nunavut, Canada\",\"authors\":\"P.M. Treitz, D.M. Atkinson, A. Blaser, M.T. Bonney, C.A. Braybrook, E.C. Buckley, A. Collingwood, R. Edwards, K. van Ewijk, V. Freemantle, Fiona Marianne Gregory, J. Holloway, J. Hung, S. Lamoureux, N. Liu, G. Ljubicic, G. Robson, A.C.A. Rudy, N. A. Scott, C. Shang, J. Wall\",\"doi\":\"10.1139/as-2023-0043\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The Cape Bounty Arctic Watershed Observatory (CBAWO), Melville Island, Nunavut (74°55′N, 109°34′W) was established in 2003 to examine Arctic ecosystem processes that would be impacted by climate warming and permafrost degradation. This paper provides a synthesis of how remote sensing has contributed to biogeophysical modelling and monitoring at the CBAWO from 2003 to 2023. Given the location and isolated nature of the CBAWO in the Canadian High Arctic, remote sensing data and derivatives have been instrumental for studies examining ecosystem structure and function at local and landscape scales. In combination with field measurements, remote sensing data facilitated mapping and modelling of vegetation types, % vegetation cover and aboveground phytomass, soil moisture, carbon exchange rates, and permafrost degradation and disturbance. It has been demonstrated that even in an environment with limited vegetation cover and phytomass, spectral vegetation indices (e.g., the normalized difference vegetation index) are able to model various biogeophysical variables. These applications are feasible for research sites such as the CBAWO using high spatial resolution remote sensing data across the visible, infrared, and microwave regions of the electromagnetic spectrum. Furthermore, as the satellite record continues to expand, we will gain a greater understanding of the impacts arising from the expected continued warming at northern latitudes. Although the logistics for research in the Arctic remain challenging, today's technologies (e.g., high spatial resolution satellite remote sensing, automated in situ sensors and data loggers, and wireless communication systems) can support a host of scientific endeavours in the Arctic (and other remote sites) through modelling and monitoring of biogeophysical variables and Earth surface processes with limited but critical field campaigns. The research synthesized here for the CBAWO highlights the essential role of remote sensing of terrestrial ecosystems in the Canadian Arctic.\",\"PeriodicalId\":48575,\"journal\":{\"name\":\"Arctic Science\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.7000,\"publicationDate\":\"2024-05-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Arctic Science\",\"FirstCategoryId\":\"89\",\"ListUrlMain\":\"https://doi.org/10.1139/as-2023-0043\",\"RegionNum\":3,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ECOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Arctic Science","FirstCategoryId":"89","ListUrlMain":"https://doi.org/10.1139/as-2023-0043","RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ECOLOGY","Score":null,"Total":0}
引用次数: 0

摘要

位于努纳武特地区梅尔维尔岛(北纬 74°55′,西经 109°34′)的邦蒂角北极流域观测站(CBAWO)成立于 2003 年,旨在研究受气候变暖和永冻土退化影响的北极生态系统过程。本文综述了 2003 年至 2023 年期间遥感技术如何为 CBAWO 的生物地球物理建模和监测工作做出了贡献。鉴于加拿大北极高纬度地区CBAWO的地理位置和与世隔绝的性质,遥感数据及其衍生物对研究当地和景观尺度的生态系统结构和功能起到了重要作用。结合实地测量,遥感数据有助于绘制植被类型、植被覆盖率和地上植物量、土壤湿度、碳交换率以及永久冻土退化和干扰的地图和模型。事实证明,即使在植被覆盖率和植物量有限的环境中,光谱植被指数(如归一化差异植被指数)也能模拟各种生物地球物理变量。这些应用对于研究地点来说是可行的,例如在可见光、红外和微波电磁波谱区域使用高空间分辨率遥感数据的 CBAWO。此外,随着卫星记录的不断扩大,我们将更深入地了解北纬地区预期持续变暖所带来的影响。尽管在北极开展研究的后勤工作仍然具有挑战性,但当今的技术(如高空间分辨率卫星遥感、自动原地传感器和数据记录器以及无线通信系统)可以通过对生物地球物理变量和地球表面过程进行建模和监测,并开展有限但至关重要的实地活动,为北极(和其他偏远地区)的大量科学工作提供支持。这里为 CBAWO 综述的研究突出了遥感在加拿大北极地区陆地生态系统中的重要作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Remote sensing of biogeophysical variables at the Cape Bounty Arctic Watershed Observatory, Melville Island, Nunavut, Canada
The Cape Bounty Arctic Watershed Observatory (CBAWO), Melville Island, Nunavut (74°55′N, 109°34′W) was established in 2003 to examine Arctic ecosystem processes that would be impacted by climate warming and permafrost degradation. This paper provides a synthesis of how remote sensing has contributed to biogeophysical modelling and monitoring at the CBAWO from 2003 to 2023. Given the location and isolated nature of the CBAWO in the Canadian High Arctic, remote sensing data and derivatives have been instrumental for studies examining ecosystem structure and function at local and landscape scales. In combination with field measurements, remote sensing data facilitated mapping and modelling of vegetation types, % vegetation cover and aboveground phytomass, soil moisture, carbon exchange rates, and permafrost degradation and disturbance. It has been demonstrated that even in an environment with limited vegetation cover and phytomass, spectral vegetation indices (e.g., the normalized difference vegetation index) are able to model various biogeophysical variables. These applications are feasible for research sites such as the CBAWO using high spatial resolution remote sensing data across the visible, infrared, and microwave regions of the electromagnetic spectrum. Furthermore, as the satellite record continues to expand, we will gain a greater understanding of the impacts arising from the expected continued warming at northern latitudes. Although the logistics for research in the Arctic remain challenging, today's technologies (e.g., high spatial resolution satellite remote sensing, automated in situ sensors and data loggers, and wireless communication systems) can support a host of scientific endeavours in the Arctic (and other remote sites) through modelling and monitoring of biogeophysical variables and Earth surface processes with limited but critical field campaigns. The research synthesized here for the CBAWO highlights the essential role of remote sensing of terrestrial ecosystems in the Canadian Arctic.
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
Arctic Science
Arctic Science Agricultural and Biological Sciences-General Agricultural and Biological Sciences
CiteScore
5.00
自引率
12.10%
发文量
81
期刊介绍: Arctic Science is an interdisciplinary journal that publishes original peer-reviewed research from all areas of natural science and applied science & engineering related to northern Polar Regions. The focus on basic and applied science includes the traditional knowledge and observations of the indigenous peoples of the region as well as cutting-edge developments in biological, chemical, physical and engineering science in all northern environments. Reports on interdisciplinary research are encouraged. Special issues and sections dealing with important issues in northern polar science are also considered.
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信