https://socictopen.socict.org/files/original/571eafae967c0909449f1cfb907d3170.pdf 64d3bbfec5795c20bf1953f46e296da2 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Agricultura sostenible Description An account of the resource Dominio científico: Agricultura sostenible Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource THEMS: an automated thermal and hyperspectral proximal sensing system for canopy reflectance, radiance and temperature Creator An entity primarily responsible for making the resource William Woodgate, Eva van Gorsel, Dale Hughes, Lola Suarez, Jose Jimenez-Berni, Alex Held Description An account of the resource 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. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource THEMS, hyperspectral, proximal sensor, remote sensing, thermal, validation Identifier An unambiguous reference to the resource within a given context 10.1186/s13007-020-00646-w Source A related resource from which the described resource is derived Plant Methods Publisher An entity responsible for making the resource available BMC Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Plant culture, Biology (General) Relation A related resource <a href="http://link.springer.com/article/10.1186/s13007-020-00646-w" target="_blank" rel="noreferrer noopener">http://link.springer.com/article/10.1186/s13007-020-00646-w</a>