https://www.socictopen.socict.org/files/original/5fedd45b34bb20bf878ca72474390db8.pdf 4e7d4ffb1c64f102e8ce81113d0c0d86 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 Crop water stress maps for an entire growing season from visible and thermal UAV imagery Creator An entity primarily responsible for making the resource H. Hoffmann, R. Jensen, T. Friborg, A. Thomsen, H. Nieto, J. Rasmussen Description An account of the resource This study investigates whether a water deficit index (WDI) based on imagery from unmanned aerial vehicles (UAVs) can provide accurate crop water stress maps at different growth stages of barley and in differing weather situations. Data from both the early and late growing season are included to investigate whether the WDI has the unique potential to be applicable both when the land surface is partly composed of bare soil and when crops on the land surface are senescing. The WDI differs from the more commonly applied crop water stress index (CWSI) in that it uses both a spectral vegetation index (VI), to determine the degree of surface greenness, and the composite land surface temperature (LST) (not solely canopy temperature).Lightweight thermal and RGB (red&ndash;green&ndash;blue) cameras were mounted on a UAV on three occasions during the growing season 2014, and provided composite LST and color images, respectively. From the LST, maps of surface-air temperature differences were computed. From the color images, the normalized green–red difference index (NGRDI), constituting the indicator of surface greenness, was computed. Advantages of the WDI as an irrigation map, as compared with simpler maps of the surface-air temperature difference, are discussed, and the suitability of the NGRDI is assessed. Final WDI maps had a spatial resolution of 0.25 m.It was found that the UAV-based WDI is in agreement with measured stress values from an eddy covariance system. Further, the WDI is especially valuable in the late growing season because at this stage the remote sensing data represent crop water availability to a greater extent than they do in the early growing season, and because the WDI accounts for areas of ripe crops that no longer have the same need for irrigation. WDI maps can potentially serve as water stress maps, showing the farmer where irrigation is needed to ensure healthy growing plants, during entire growing season. Date A point or period of time associated with an event in the lifecycle of the resource 2016 Identifier An unambiguous reference to the resource within a given context 10.5194/bg-13-6545-2016 Source A related resource from which the described resource is derived Biogeosciences Publisher An entity responsible for making the resource available Copernicus Publications Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Geology, Ecology, Life Relation A related resource <a href="http://www.biogeosciences.net/13/6545/2016/bg-13-6545-2016.pdf" target="_blank" rel="noreferrer noopener">http://www.biogeosciences.net/13/6545/2016/bg-13-6545-2016.pdf</a>