HR: 0800h
AN: H31D-0634    [Abstracts]
TI: Leaf wetness distributions in a heterogeneous agricultural landscape
AU: * Cosh, M
EM: Michael.Cosh@ars.usda.gov
AF: Hydrology and Remote Sensing Lab, Rm 104 Bldg 007 BARC-West, Beltsville, MD 20705, United States
AU: Hornbuckle, B
EM: bkh@iastate.edu
AF: Iowa State University, 3007 Agronomy Hall, Ames, IA 50011, United States
AU: Kabela, E
EM: ekabela@gmail.com
AF: Savannah River National Laboratory, Savannah River Site, Aiken, SC 29808, United States
AU: Gleason, M L
EM: mgleason@iastate.edu
AF: Iowa State University, 313 Bessey Hall, Ames, IA 50011, United States
AU: Jackson, T J
EM: Tom.Jackson@ars.usda.gov
AF: Hydrology and Remote Sensing Lab, Rm 104 Bldg 007 BARC-West, Beltsville, MD 20705, United States
AB: Spatial variability of leaf wetness quantity is a rising concern for remote sensing and hydrology. The presence of liquid water on the plant surface may impact the ability of new and future remote sensing technologies to measure surface soil moisture. Furthermore, the potential recharge of surface soil moisture from leaf wetness is small but critical element of the water balance, especially in dry environments. Measuring the variability and spatial extent of leaf wetness events will provide an upper limit for modeling and remote sensing in determine the effect of such events on hydrologic studies. In coordination with the SMEX05 experiment, leaf wetness sensors were deployed and measurements collected during June of 2005 in and around the Walnut Creek Watershed near Ames, Iowa. Column density estimates of leaf wetness were calculated hourly for each day of record for the study region at 20 different fields. These data were combined with a vegetation leaf area index map to produce a spatial leaf wetness product daily during the experiment.
DE: 1804 Catchment
DE: 1833 Hydroclimatology
DE: 1843 Land/atmosphere interactions (1218, 1631, 3322)
DE: 1848 Monitoring networks
DE: 1895 Instruments and techniques: monitoring
SC: Hydrology [H]
MN: 2007 Fall Meeting