https://socictopen.socict.org/files/original/423f35e48854cbf9ba99bf9ff05207aa.pdf f082b9026d0e95021454aab8181194d3 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 Estimating Evapotranspiration of an Apple Orchard Using a Remote Sensing-Based Soil Water Balance Creator An entity primarily responsible for making the resource Magali Odi-Lara, Isidro Campos, Christopher M. U. Neale, Samuel Ortega-Farías, Carlos Poblete-Echeverría, Claudio Balbontín, Alfonso Calera Description An account of the resource The main goal of this research was to estimate the actual evapotranspiration (ETc) of a drip-irrigated apple orchard located in the semi-arid region of Talca Valley (Chile) using a remote sensing-based soil water balance model. The methodology to estimate ETc is a modified version of the Food and Agriculture Organization of the United Nations (FAO) dual crop coefficient approach, in which the basal crop coefficient (Kcb) was derived from the soil adjusted vegetation index (SAVI) calculated from satellite images and incorporated into a daily soil water balance in the root zone. A linear relationship between the Kcb and SAVI was developed for the apple orchard Kcb = 1.82·SAVI − 0.07 (R2 = 0.95). The methodology was applied during two growing seasons (2010–2011 and 2012–2013), and ETc was evaluated using latent heat fluxes (LE) from an eddy covariance system. The results indicate that the remote sensing-based soil water balance estimated ETc reasonably well over two growing seasons. The root mean square error (RMSE) between the measured and simulated ETc values during 2010–2011 and 2012–2013 were, respectively, 0.78 and 0.74 mm·day−1, which mean a relative error of 25%. The index of agreement (d) values were, respectively, 0.73 and 0.90. In addition, the weekly ETc showed better agreement. The proposed methodology could be considered as a useful tool for scheduling irrigation and driving the estimation of water requirements over large areas for apple orchards. Date A point or period of time associated with an event in the lifecycle of the resource 2016 Subject The topic of the resource Eddy Covariance, apple orchard, canopy reflectance, crop coefficient, evapotranspiration, remote sensing, vegetation indices, water balance Identifier An unambiguous reference to the resource within a given context 10.3390/rs8030253 Source A related resource from which the described resource is derived Remote Sensing Publisher An entity responsible for making the resource available MDPI AG Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Science Relation A related resource <a href="http://www.mdpi.com/2072-4292/8/3/253" target="_blank" rel="noreferrer noopener">http://www.mdpi.com/2072-4292/8/3/253</a>