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

dc.abstract.enA 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.
dc.affiliationWydział Inżynierii Środowiska i Inżynierii Mechanicznej
dc.affiliation.instituteKatedra Ekologii i Ochrony Środowiska
dc.contributor.authorPierrat, Zoe Amie
dc.contributor.authorMagney, Troy S.
dc.contributor.authorRichardson, Will P.
dc.contributor.authorRunkle, Benjamin R. K.
dc.contributor.authorDiehl, Jen L.
dc.contributor.authorYang, Xi
dc.contributor.authorWoodgate, William
dc.contributor.authorSmith, William K.
dc.contributor.authorJohnston, Miriam R.
dc.contributor.authorGinting, Yohanes R. S.
dc.contributor.authorKoren, Gerbrand
dc.contributor.authorAlbert, Loren P.
dc.contributor.authorKibler, Christopher L.
dc.contributor.authorMorgan, Bryn E.
dc.contributor.authorBarnes, Mallory
dc.contributor.authorUscanga, Adriana
dc.contributor.authorDevine, Charles
dc.contributor.authorJavadian, Mostafa
dc.contributor.authorMeza, Karem
dc.contributor.authorJulitta, Tommaso
dc.contributor.authorTagliabue, Giulia
dc.contributor.authorDannenberg, Matthew P.
dc.contributor.authorAntala, Michal
dc.contributor.authorWong, Christopher Y. S.
dc.contributor.authorSantos, Andre L. D.
dc.contributor.authorHufkens, Koen
dc.contributor.authorMarrs, Julia K.
dc.contributor.authorStovall, Atticus E. L.
dc.contributor.authorLiu, Yujie
dc.contributor.authorFisher, Joshua B.
dc.contributor.authorGamon, John A.
dc.contributor.authorCawse‐Nicholson, Kerry
dc.date.access2025-12-11
dc.date.accessioned2025-12-11T12:26:09Z
dc.date.available2025-12-11T12:26:09Z
dc.date.copyright2025-01-23
dc.date.issued2025
dc.description.abstract<jats:title>Summary</jats:title><jats:p>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.</jats:p>
dc.description.accesstimeat_publication
dc.description.bibliographyil., bibliogr.
dc.description.financepublication_nocost
dc.description.financecost0,00
dc.description.if8,1
dc.description.number2
dc.description.points140
dc.description.versionfinal_published
dc.description.volume246
dc.identifier.doi10.1111/nph.20405
dc.identifier.eissn1469-8137
dc.identifier.issn0028-646X
dc.identifier.urihttps://sciencerep.up.poznan.pl/handle/item/6351
dc.identifier.weblinkhttps://nph.onlinelibrary.wiley.com/doi/full/10.1111/nph.20405
dc.languageen
dc.pbn.affiliationenvironmental engineering, mining and energy
dc.relation.ispartofNew Phytologist
dc.relation.pages419-436
dc.rightsCC-BY
dc.sciencecloudnosend
dc.share.typeOTHER
dc.subject.enbiodiversity
dc.subject.encanopy structure
dc.subject.enecosystem flux
dc.subject.eneddy covariance
dc.subject.enphenology
dc.subject.enproximal remote sensing
dc.subject.enscaling
dc.subject.enspectral biology
dc.subtypeReviewArticle
dc.titleProximal remote sensing: an essential tool for bridging the gap between high‐resolution ecosystem monitoring and global ecology
dc.typeJournalArticle
dspace.entity.typePublication
oaire.citation.issue2
oaire.citation.volume246