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  4. Proximal remote sensing: an essential tool for bridging the gap between high‐resolution ecosystem monitoring and global ecology
 
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Proximal remote sensing: an essential tool for bridging the gap between high‐resolution ecosystem monitoring and global ecology

Type
Journal article
Language
English
Date issued
2025
Author
Pierrat, Zoe Amie
Magney, Troy S.
Richardson, Will P.
Runkle, Benjamin R. K.
Diehl, Jen L.
Yang, Xi
Woodgate, William
Smith, William K.
Johnston, Miriam R.
Ginting, Yohanes R. S.
Koren, Gerbrand
Albert, Loren P.
Kibler, Christopher L.
Morgan, Bryn E.
Barnes, Mallory
Uscanga, Adriana
Devine, Charles
Javadian, Mostafa
Meza, Karem
Julitta, Tommaso
Tagliabue, Giulia
Dannenberg, Matthew P.
Antala, Michal
Wong, Christopher Y. S.
Santos, Andre L. D.
Hufkens, Koen
Marrs, Julia K.
Stovall, Atticus E. L.
Liu, Yujie
Fisher, Joshua B.
Gamon, John A.
Cawse‐Nicholson, Kerry
Faculty
Wydział Inżynierii Środowiska i Inżynierii Mechanicznej
PBN discipline
environmental engineering, mining and energy
Journal
New Phytologist
ISSN
0028-646X
DOI
10.1111/nph.20405
Web address
https://nph.onlinelibrary.wiley.com/doi/full/10.1111/nph.20405
Volume
246
Number
2
Pages from-to
419-436
Abstract (EN)
A new proliferation of optical instruments that can be attached to towers over or within ecosystems, or ‘proximal’ remote sensing, enables a comprehensive characterization of terrestrial ecosystem structure, function, and fluxes of energy, water, and carbon. Proximal remote sensing can bridge the gap between individual plants, site-level eddy-covariance fluxes, and airborne and spaceborne remote sensing by providing continuous data at a high-spatiotemporal resolution. Here, we review recent advances in proximal remote sensing for improving our mechanistic understanding of plant and ecosystem processes, model development, and validation of current and upcoming satellite missions. We provide current best practices for data availability and metadata for proximal remote sensing: spectral reflectance, solar-induced fluorescence, thermal infrared radiation, microwave backscatter, and LiDAR. Our paper outlines the steps necessary for making these data streams more widespread, accessible, interoperable, and information-rich, enabling us to address key ecological questions unanswerable from space-based observations alone and, ultimately, to demonstrate the feasibility of these technologies to address critical questions in local and global ecology.
Keywords (EN)
  • biodiversity

  • canopy structure

  • ecosystem flux

  • eddy covariance

  • phenology

  • proximal remote sensing

  • scaling

  • spectral biology

License
cc-bycc-by CC-BY - Attribution
Open access date
January 23, 2025
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