气候变化领域集成服务门户(CCPortal): Recent trends and remaining challenges for optical remote sensing of Arctic tundra vegetation: A review and outlook

CCPortal

DOI	10.1016/j.rse.2020.111872
	Recent trends and remaining challenges for optical remote sensing of Arctic tundra vegetation: A review and outlook
	Beamish A.; Raynolds M.K.; Epstein H.; Frost G.V.; Macander M.J.; Bergstedt H.; Bartsch A.; Kruse S.; Miles V.; Tanis C.M.; Heim B.; Fuchs M.; Chabrillat S.; Shevtsova I.; Verdonen M.; Wagner J.
发表日期	2020
ISSN	00344257
卷号	246
英文摘要	A systematic review and inventory of recent research relating to optical remote sensing of Arctic vegetation was conducted, and thematic and geographical trends were summarized. Research was broadly categorized into four major themes of (1) time series, including NDVI trends and shrub expansion; (2) disturbance and recovery, including tundra fires, winter warming, herbivory, permafrost disturbance, and anthropogenic change; (3) vegetation properties, including biomass, primary productivity, seasonality, phenology, and pigments; and (4) classification and mapping. Remaining challenges associated with remote sensing of Arctic vegetation were divided into three categories and discussed. The first are issues related to environmental controls including disturbance, hydrology, plant functional types, phenology and the tundra-taiga ecotone, and understanding their influence on interpretation and validation of derived remote sensing trends. The second are issues of upscaling and extrapolation related to sensor physics and the comparability of data from multiple spatial, spectral, and temporal resolutions. The final category identifies more philosophical challenges surrounding the future of data accessibility, big data analysis, sharing and funding policies among major data providers such as national space agencies and private companies, as well as user groups in the public and private sectors. The review concludes that the best practices for the advancement of optical remote sensing of Arctic vegetation include (1) a continued effort to share and improve in situ-validated datasets using camera networks and small Unmanned Aerial Vehicles, (2) data fusion with non-optical data, (3) sensor continuity, consistency, and comparability, and (4) free availability and increased sharing of data. These efforts are necessary to generate high quality, temporally dense datasets for identifying trends in Arctic tundra vegetation. © 2020
语种	英语
scopus关键词	Antennas; Arctic vehicles; Data Sharing; Forestry; Landforms; Philosophical aspects; Sensor data fusion; Space optics; Vegetation; Anthropogenic changes; Environmental control; Optical remote sensing; Plant functional type; Primary productivity; Public and private sector; Small unmanned aerial vehicles; Vegetation properties; Remote sensing; arctic environment; image classification; literature review; NDVI; permafrost; remote sensing; trend analysis; tundra; upscaling; vegetation structure; Arctic
来源期刊	Remote Sensing of Environment
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/179298
作者单位	Helmholtz-Zentrum Potsdam, German Centre for Geosciences (GFZ), Telegrafenberg A17, Potsdam, 14473, Germany; Institute of Arctic Biology, University of Alaska Fairbanks, Irving, PO Box 757000AK 99775-7000, United States; Department of Geoinformatics – Z_GIS, University of Salzburg, Schillerstraße 30, Salzburg, 5020, Austria; Alaska Biological Research, Inc, P.O. Box 80410, Fairbanks, AK 99708, United States; Department of Environmental Sciences, University of Virginia, 291 McCormick Road - Clark Hall, Charlottesville, VA 22904-4123, United States; b.geos GmbH, Industriestrasse 1, Korneuburg, 2100, Austria; Alfred Wegener Institute (AWI), Helmholtz Centre for Polar and Marine Research, Research Unit Potsdam, Telegrafenberg A43, Potsdam, 14773, Germany; Nansen Environmental and Remote Sensing Centre/Bjerknes Centre for Climate Research, Thormøhlens Gate 47, Bergen, N-5006, Norway; Finnish Meteorological Institute, Erik Palmenin Aukio 1, Helsinki, 00560, Finland; Department of Geographical and Historical st...
推荐引用方式 GB/T 7714	Beamish A.,Raynolds M.K.,Epstein H.,et al. Recent trends and remaining challenges for optical remote sensing of Arctic tundra vegetation: A review and outlook[J],2020,246.
APA	Beamish A..,Raynolds M.K..,Epstein H..,Frost G.V..,Macander M.J..,...&Wagner J..(2020).Recent trends and remaining challenges for optical remote sensing of Arctic tundra vegetation: A review and outlook.Remote Sensing of Environment,246.
MLA	Beamish A.,et al."Recent trends and remaining challenges for optical remote sensing of Arctic tundra vegetation: A review and outlook".Remote Sensing of Environment 246(2020).