Remote sensing from unoccupied aerial systems: Opportunities to enhance Arctic plant ecology in a changing climate

Yang, Dedi; Morrison, Bailey D.; Davidson, Kenneth J.; Lamour, Julien; Li, Qianyu; Nelson, Peter R.; Hantson, Wouter; Hayes, Daniel J.; Swetnam, Tyson L.; McMahon, Andrew; Anderson, Jeremiah; Ely, Kim S.; Rogers, Alistair; Serbin, Shawn P.

doi:10.1111/1365-2745.13976

Title: Remote sensing from unoccupied aerial systems: Opportunities to enhance Arctic plant ecology in a changing climate

Journal Article · Sat Jul 30 00:00:00 UTC 2022 · Journal of Ecology

DOI: https://doi.org/10.1111/1365-2745.13976 · OSTI ID:1880767

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Brookhaven National Lab. (BNL), Upton, NY (United States); Stony Brook Univ., NY (United States)
Univ. of California, Merced, CA (United States)
Brookhaven National Lab. (BNL), Upton, NY (United States)
Acadia National Park, Winter Harbor, ME (United States). Schoodic Inst.
Univ. of Maine, Orono, ME (United States)
Univ. of Arizona, Tucson, AZ (United States)

The Arctic is warming at a faster rate than any other biome on Earth, resulting in widespread changes in vegetation composition, structure, and function that have important feedbacks to the global climate system. The heterogeneous nature of arctic landscapes creates challenges for monitoring and improving understanding of these ecosystems, as current efforts typically rely on ground, airborne, or satellite-based observations that are limited in space, time, or pixel resolution. The use of remote sensing instruments on small Unoccupied Aerial Systems (UASs) has emerged as an important tool to bridge the gap between detailed, but spatially limited ground-level measurements, and lower resolution, but spatially extensive high-altitude airborne and satellite observations. UASs allow researchers to view, describe and quantify vegetation dynamics at fine spatial scales (1-10 cm) over areas much larger than typical field plots. UASs can be deployed with a high degree of temporal flexibility, enabling observation across diurnal, seasonal, and annual timescales. In this work, we review how established and emerging UAS remote sensing technologies can enhance arctic plant ecological research by quantifying fine-scale vegetation patterns and processes, and by enhancing the ability to link ground-based measurements with broader-scale information obtained from airborne and satellite platforms. Synthesis: Improved ecological understanding and model representation of arctic vegetation is needed to forecast the fate of the Arctic in a rapidly changing climate. Observations from UASs provide an approach to address this need, however, the use of this technology in the Arctic currently remains limited. Here we share recommendations to better enable and encourage the use of UASs to improve the description, scaling, and model representation of arctic vegetation.

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Research Organization:: Brookhaven National Laboratory (BNL), Upton, NY (United States)

Sponsoring Organization:: National Aeronautics and Space Administration (NASA); USDOE Office of Science (SC), Biological and Environmental Research (BER)

Grant/Contract Number:: SC0012704

OSTI ID:: 1880767

Report Number(s):: BNL-223242-2022-JAAM

Journal Information:: Journal of Ecology, Journal Name: Journal of Ecology Journal Issue: 12 Vol. 110; ISSN 0022-0477

Publisher:: WileyCopyright Statement

Country of Publication:: United States

Language:: English

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