Impact of the spatial resolution on the energy balance components on an open-canopy olive orchard |
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| Institution: | 1. Centro de Edafología y Biología Aplicada del Segura (CEBAS), Consejo Superior de Investigaciones Científicas (CSIC), Campus Universitario de Espinardo, 30100, Murcia, Spain;2. IFAPA, Centro “Alameda del Obispo”, Avda. Menéndez Pidal s/n. 14004, Córdoba, Spain;3. Kimberly Research Center, University of Idaho, Kimberly, ID, USA;4. Instituto de Agricultura Sostenible (IAS), Consejo Superior de Investigaciones Científicas (CSIC), Avda. Menéndez Pidal s/n., 14004, Córdoba, Spain;5. Department of Civil Engineering School of Natural Resources, University of Nebraska-Lincoln, Lincoln, NE, USA;1. Dpto. Riego, Centro de Edafología y Biología Aplicada del Segura (CEBAS-CSIC), P.O. Box 164, 30100 Murcia, Spain;2. Dipartimento di Agricoltura, Alimentazione e Ambiente (Di3A), Università degli Studi di Catania, Via S. Sofia, 100, 95123 Catania, Italy;3. Dipartimento di Scienze Agrarie e Forestali (SAF), Università degli Studi di Palermo, V.le delle Scienze Ed. 4, 90128, Palermo, Italy;1. National Center for Remote Sensing, National Council for Scientific Research (CNRS), Riad Al Soloh, 1107 2260 Beirut, Lebanon;2. Geography and Planning Research Center, University of Jean Moulin Lyon 3, 69007, Lyon, France;3. IRSTEA, University of Montpellier, TETIS, 34090 Montpellier, France;4. CIHEAM-IAMM, UMR-System, 34090 Montpellier, France;1. Universidade Federal de Pernambuco, PRODEMA, Recife, Pernambuco, Brazil;2. Federal University of Paraíba, Postgraduate Programme Geography/CCEN/UFPB, João Pessoa 58051-900, Paraíba, Brazil;3. Federal University of Paraíba, Department of Geosciences, João Pessoa 58051-900, Paraíba, Brazil;4. Federal University of Paraíba, Department of Civil and Environmental Engineering, João Pessoa 58051-900, Paraíba, Brazil |
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| Abstract: | The recent technical improvements in the sensors used to acquire images from land surfaces has made possible to assess the performance of the energy balance models using unprecedented spatial resolutions. Thus, the objective of this work is to evaluate the response of the different energy balance components obtained from METRIC model as a function of the input pixel size. Very high spatial resolution airborne images (≈50 cm) on three dates over olive orchards were used to aggregate different spatial resolutions, ranging from 5 m to 1 km. This study represents the first time that METRIC model has been run with such high spatial resolution imagery in heterogeneous agricultural systems, evaluating the effects caused by its aggregation into coarser pixel sizes. Net radiation and soil heat flux showed a near insensitive behavior to spatial resolution changes, reflecting that the emissivity and albedo respond linearly to pixel aggregation. However, greater discrepancies were obtained for sensible (up to 17%) and latent (up to 23%) heat fluxes at spatial resolutions coarser than 30 × 30 m due to the aggregation of non-linear components, and to the inclusion of non-agricultural areas in such aggregation. Results obtained confirm the good performance of METRIC model when used with high spatial resolution imagery, whereas they warn of some major errors in crop evapotranspiration estimation when medium or large scales are used. |
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| Keywords: | Energy balance Spatial resolution Evapotranspiration METRIC model |
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