THEMS: an automated thermal and hyperspectral proximal sensing system for canopy reflectance, radiance and temperature

THEMS: an automated thermal and hyperspectral proximal sensing system for canopy reflectance, radiance and temperature

William Woodgate, Eva van Gorsel, Dale Hughes, Lola Suarez, Jose Jimenez-Berni, Alex Held

Abstract Background Earth Observation ‘EO’ remote sensing technology development enables original insights into vegetation function and health at ever finer temporal, spectral and spatial resolution. Research sites equipped with monitoring infrastructure such as flux towers operate at a key bridging scale between satellite platform measurements and on-the-ground leaf-level processes. Results This paper presents the technical details of the design and operation of a proximal observation system ‘THEMS’ that generates unattended long-term high quality thermal and hyperspectral images of a forest canopy on a short (sub-daily) timescale. The primary purpose of the system is to measure canopy temperature, spectral reflectance and radiance coincident with a highly instrumented flux tower site for benchmarking purposes. Basic system capability is demonstrated through low level data product descriptions of the high-resolution multi-angular imagery and ancillary data streams. The system has been successfully operational for more than 2 years with little to no intervention. Conclusions These data can then be used to derive remotely sensed proxies of canopy and ecosystem function to study temporal forest dynamics over a wide range of wavelengths, spatial scales (individual trees to canopy), and temporal scales (minutes to multiple years). The multi-purpose system is intended to provide unprecedented spatio-temporal ecophysiological insight and to underpin upscaling of remotely sensed dynamic ecosystem water, CO2, and energy exchange processes.

2020

THEMS, hyperspectral, proximal sensor, remote sensing, thermal, validation

10.1186/s13007-020-00646-w

Plant Methods

BMC

Plant culture, Biology (General)