Recent trends and remaining challenges for optical remote sensing of Arctic tundra vegetation: A review and outlook

被引：128

作者：

Beamish, Alison ^{[1
,7
]}

Raynolds, Martha K. ^{[2
]}

Epstein, Howard ^{[5
]}

Frost, Gerald, V ^{[4
]}

Macander, Matthew J. ^{[4
]}

Bergstedt, Helena ^{[3
]}

Bartsch, Annett ^{[6
,12
]}

Kruse, Stefan ^{[7
]}

Miles, Victoria ^{[8
]}

Tanis, Cemal Melih ^{[9
]}

Heim, Birgit ^{[7
]}

Fuchs, Matthias ^{[1
]}

Chabrillat, Sabine ^{[1
]}

Shevtsova, Iuliia ^{[7
]}

Verdonen, Mariana ^{[10
]}

Wagner, Johann ^{[11
]}

机构：

[1] Helmholtz Zentrum Potsdam, German Ctr Geosci GFZ, Telegrafenberg A17, D-14473 Potsdam, Germany

[2] Univ Alaska Fairbanks, Inst Arctic Biol, POB 757000, Irving, AK 99775 USA

[3] Univ Salzburg, Dept Geoinformat Z GIS, Schillerstr 30, A-5020 Salzburg, Austria

[4] Alaska Biol Res Inc, POB 80410, Fairbanks, AK 99708 USA

[5] Univ Virginia, Dept Environm Sci, 291 McCormick Rd Clark Hall, Charlottesville, VA 22904 USA

[6] Bgeos GmbH, Ind Str 1, A-2100 Korneuburg, Austria

[7] Alfred Wegener Inst AWI, Helmholtz Ctr Polar & Marine Res, Res Unit Potsdam, Telegrafenberg A43, D-14773 Potsdam, Germany

[8] Nansen Environm & Remote Sensing Ctr, Bjerknes Ctr Climate Res, Thormohlens Gate 47, N-5006 Bergen, Norway

[9] Finnish Meteorol Inst, Erik Palmenin Aukio 1, Helsinki 00560, Finland

[10] Univ Eastern Finland, Dept Geog & Hist Studies, POB 111, FI-80101 Joensuu, Finland

[11] Polar Knowledge Canada, 1 Uvajuq Rd,POB 2150, Cambridge Bay, NU X0B 0C0, Canada

[12] Austrian Polar Res Inst, Univ Str 7, A-1010 Vienna, Austria

来源：

REMOTE SENSING OF ENVIRONMENT | 2020年 / 246卷

基金：

欧盟地平线“2020”;

关键词：

LEAF-AREA INDEX; HIGH NORTHERN LATITUDES; WINTER WARMING EVENTS; BURN SEVERITY; SPATIAL-RESOLUTION; GROWING-SEASON; SATELLITE DATA; CLIMATE-CHANGE; SPECTRAL REFLECTANCE; PRIMARY PRODUCTIVITY;

D O I：

10.1016/j.rse.2020.111872

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

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.

引用

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