Improving the Precision of Irrigation Using High-Resolution Thermal Imagery
Trabajo presentado en la 2019 ASA-CSSA-SSSA International Annual Meeting, celebrada en San Antonio (Texas) del 10 al 13 de noviembre de 2019.
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2019-11
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| Online Access: | http://hdl.handle.net/10261/215844 |
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dig-ias-es-10261-2158442020-09-04T11:59:15Z Improving the Precision of Irrigation Using High-Resolution Thermal Imagery González-Dugo, Victoria Zarco-Tejada, Pablo J. Trabajo presentado en la 2019 ASA-CSSA-SSSA International Annual Meeting, celebrada en San Antonio (Texas) del 10 al 13 de noviembre de 2019. The prospects of water scarcity are increasing in many areas in the world, adding more pressure for irrigated agriculture to minimize water losses and maximize water productivity. The improvements in irrigation system design and operation do not address the issues of soil and plant heterogeneity and associated variations in water demands within irrigation management units. There has been a tendency in recent decades towards increasing the size of management units to reduce labor inputs and simplify management; this approach increases the risk of widening the spatial variability within the management units. This variation relies upon static sources, such as soil properties, while others are dynamic, such as irrigation dose, plant size, and plant health. Traditional approaches proposed to manage the variability in the system design have primarily minimized differences in soil type and topography within irrigation units (map-based approach). However, multiple sources of variation are difficult to address using this approach because they are not static. Sensor-based approaches meeting the required resolutions and turnaround times provide an efficient tool to assess dynamic variations within agricultural fields. Thermal imaging acquired from UAVs or manned aircraft fulfill the requested accuracy and flexibility to deal with such dynamic variability due to the close link to transpiration. Water stress induces stomatal closure, reduces evaporative cooling and increases leaf temperature. The influence of evaporative demand on canopy temperature via air temperature and the vapor pressure deficit requires its normalization, which can be carried out using the Crop Water Stress Index (CWSI). This thermal-based approach allows conducting comparative studies in the spatial domain, but more interestingly, temporally. The opportunities derived from the analysis of the temporal and spatial variability will be reviewed, highlighting the main avenues to optimize water use in irrigated agriculture. Peer reviewed 2020-07-02T08:39:45Z 2020-07-02T08:39:45Z 2019-11 comunicación de congreso http://purl.org/coar/resource_type/c_5794 ASA-CSSA-SSSA International Annual Meeting (2019) http://hdl.handle.net/10261/215844 en Sí open |
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ES |
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English |
| description |
Trabajo presentado en la 2019 ASA-CSSA-SSSA International Annual Meeting, celebrada en San Antonio (Texas) del 10 al 13 de noviembre de 2019. |
| format |
comunicación de congreso |
| author |
González-Dugo, Victoria Zarco-Tejada, Pablo J. |
| spellingShingle |
González-Dugo, Victoria Zarco-Tejada, Pablo J. Improving the Precision of Irrigation Using High-Resolution Thermal Imagery |
| author_facet |
González-Dugo, Victoria Zarco-Tejada, Pablo J. |
| author_sort |
González-Dugo, Victoria |
| title |
Improving the Precision of Irrigation Using High-Resolution Thermal Imagery |
| title_short |
Improving the Precision of Irrigation Using High-Resolution Thermal Imagery |
| title_full |
Improving the Precision of Irrigation Using High-Resolution Thermal Imagery |
| title_fullStr |
Improving the Precision of Irrigation Using High-Resolution Thermal Imagery |
| title_full_unstemmed |
Improving the Precision of Irrigation Using High-Resolution Thermal Imagery |
| title_sort |
improving the precision of irrigation using high-resolution thermal imagery |
| publishDate |
2019-11 |
| url |
http://hdl.handle.net/10261/215844 |
| work_keys_str_mv |
AT gonzalezdugovictoria improvingtheprecisionofirrigationusinghighresolutionthermalimagery AT zarcotejadapabloj improvingtheprecisionofirrigationusinghighresolutionthermalimagery |
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