Vegetation water use determined with energy balance models coupled with airborne multispectral imagery and weather data
dc.contributor.author | Chávez, José L., author | |
dc.contributor.author | Colorado State University, publisher | |
dc.date.accessioned | 2020-02-12T17:22:52Z | |
dc.date.available | 2020-02-12T17:22:52Z | |
dc.date.issued | 2012 | |
dc.description | 2012 annual AGU hydrology days was held at Colorado State University on March 21 - March 23, 2012. | |
dc.description | Includes bibliographical references. | |
dc.description.abstract | Frequent estimates of spatially distributed vegetation water use or evapotranspiration (ET) are essential for managing water resources in irrigated regions and for general hydrologic processes modeling. In this study, two energy balance based algorithms were used to map ET. Both methods require weather data from standard agricultural weather stations. One method was METRIC (Mapping ET at high Resolutions with Internal Calibration), which was originally developed for applications with Landsat images. The second method was a surface aerodynamic temperature-based (SAT) ET method. METRIC and SAT derived ET values were compared to ET values from weighing lysimeters. As part of this experiment, high resolution aircraft imagery (0.5 m pixel size in the visible and near infrared bands and 2 m in the thermal band) were acquired. During the overpasses, ground truth data were collected for surface short-wave reflectance and long-wave thermal emittance, crop parameters, soil heat flux and net radiation. In general, METRIC performed better on well irrigated fields with the presence of large uniform biomass stands while the SAT method resulted with slightly larger errors under similar surface and climatological (including advection) conditions. | |
dc.format.medium | born digital | |
dc.format.medium | proceedings (reports) | |
dc.identifier.uri | https://hdl.handle.net/10217/201014 | |
dc.identifier.uri | http://dx.doi.org/10.25675/10217/201014 | |
dc.language | English | |
dc.language.iso | eng | |
dc.publisher | Colorado State University. Libraries | |
dc.relation.ispartof | Hydrology Days | |
dc.rights | Copyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright. | |
dc.title | Vegetation water use determined with energy balance models coupled with airborne multispectral imagery and weather data | |
dc.title.alternative | Hydrology days 2012 | |
dc.title.alternative | AGU hydrology days 2012 | |
dc.type | Text |
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