Proximal remote sensing: an essential tool for bridging the gap between high‐resolution ecosystem monitoring and global ecology
Zoe Pierrat, Troy S. Magney, Will Richardson, Benjamin R. K. Runkle, Jen L. Diehl, Xi Yang, William Woodgate, William K. Smith, Miriam R. Johnston, Yohanes Risky Shellen Ginting, Gerbrand Koren, Loren P. Albert, Christopher L. Kibler, Bryn E. Morgan, Mallory L. Barnes, Adriana Uscanga, Charles John Devine, Mostafa Javadian, Karem Meza, Tommaso Julitta, Giulia Tagliabue, Matthew P. Dannenberg, Michal Antala, Christopher Y. S. Wong, André Santos, Koen Hufkens, Julia Marrs, Atticus Stovall, Yujie Liu, Joshua B. Fisher, John A. Gamon, Kerry Cawse‐Nicholson
Abstract
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.