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ARS Home Northeast Area Beltsville, Maryland (BARC) Beltsville Agricultural Research Center Hydrology and Remote Sensing Laboratory Research Publications at this Location





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Title:   Author  item
                                            Anderson, Marthaitem
                                            HAIN, C. - University Of Marylanditem
                                            Semmens, Kathrynitem
                                            OTKIN, J. - University Of Wisconsinitem
                                            CAMMALLERI, C. - European Commission-Joint Research Centre (JRC)item
                                            Kustas, William

                                                         - *Bill*item
                                            Gao, Feng
  Submitted to: Meeting Abstract
                                    Publication Type: Abstract Only
                                    Publication Acceptance Date: 4/30/2014
                                    Publication  Date: 5/12/2014
                                    Citation: Anderson, M.C., Hain, C., Semmens, K.A., Otkin, J., Cammalleri, C., Kustas, W.P., Gao, F.N. 2014. The unique value of landsurface temperature for mapping evapotranspiration and drought [abstract].  31st Conference on Agricultural and Forest Meteorology.Interpretive Summary:
                                Technical Abstract: Landsurface temperature (LST) is a diagnostic variable that conveys valuable information about surface moisture status and vegetation health.  Retrieved using satellite imagery collected in the thermal infrared (TIR) wavebands, LST is used routinely in constraining surface energy balance models for estimating evapotranspiration (ET) and for monitoring drought-induced stress onset, signaled by anomalous values of actual-to-potential ET ratio.  This talk will provide an overview of use of LST collected at multiple spatial and temporal resolutions with polar and geostationary satellites for monitoring ET and drought at field to global scales.  The unique value of LST in diagnosing ancillary moisture sources difficult to capture using prognostic water balance models will be highlighted, as well as the use of LST as a fast response variable in detecting rapid onset drought events.  The spatial resolution afforded by Landsat TIR imagery allows ET assessments at the sub-field scale, which can be temporally supported by data fusion with MODIS and geostationary based ET retrievals to map daily water use at scales of water management.


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