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. 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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.
Arctic ScienceAgricultural 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.