2012 AGU Chapman Conference on Remote Sensing of the ...

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$A 10 year climatology of cloud fraction and vertical distribution ...$

EM-9EM-10EM-11EM-12EM-13EM-14EM-15EM-16EM-17EM-18EM-19EM-20EM-21EM-22EM-23EM-24William P. Kustas | Utility of Thermal Remote Sensing for DeterminingEvapotranspirationMartha C. Anderson | A Satellite-Based Drought Product using ThermalRemote Sensing of EvapotranspirationVenkataraman Lakshmi | Climate Studies of intertidal using MODISsurface temperaturesChanyang Sur | Relationship of Remote sensing-based Evapotranspirationand Eco-hydrological Factor; Water Use EfficiencyAndrew N. French | Evapotranspiration Estimation with SimulatedHyspIRI ObservationsGabriel Senay | Evaluating the performance of remote sensing basedevapotranspiration products using flux tower and water balanceapproachesJiao Wang | Remotely Sensed Evapotranspiration Estimation in CentralTexasWilliam Connor | Strategies for validating Vegetation Index EnvironmentalData Records from Visible Infrared Imaging Radiometer Suite using towerreflectance measurementsEric Fetzer | The Water Vapor and Temperature Record from the NASAAtmospheric Infrared SounderJordi Cristobal | Juniper Tree Actual Evapotranspiration Estimation byMeans of Landsat-5 TM Imagery and the TSEB Model in the DoñanaBiological ReserveHatim M. Geli | Evapotranspiration of Natural Vegetation using Landsatand Airborne Remote SensingJordi Cristobal | Tundra Energy Fluxes Retrieval on the Alaskan NorthSlope by Means of Landsat and Modis Imagery and the Tseb Method:Preliminary ResultsRichard G. Allen | Conditioning of NLDAS, NARR and arid weatherstation data for estimating evapotranspiration under well-wateredconditionsRichard G. Allen | Ground-based Energy Balance, Scintillometer andEvapotranspiration Studies in Natural Systems to Support Remote SensingModelsKyle G. Pressel | Scale Invariance of the Water Vapor Field Observed by theAtmospheric Infrared SounderRichard G. Allen | Impact of Aerodynamic Algorithms in Mountains whenApplying Landsat-scale Energy Balances10
EM-25EM-26EM-27EM-28EM-29EM-301600h – 1900hSWM-1SWM-2SWM-3SWM-4SWM-5SWM-6SWM-7SWM-8SWM-9SWM-10Ayse Irmak | Requirements for Evapotranspiration at Field-Scale usingLandsat-scale Remote Sensing-Based Energy Balance in the Central Platteand Sand Hills of Nebraska, USAThomas C. Moran | Comparing annual evapotranspiration estimatesderived from remote sensing and surface measurement for water-limitedcatchments in CaliforniaWilliam D. Collins | A Comparison of the Scale Invariance of the WaterVapor Field Observed by the Atmospheric Infrared Sounder to the ScaleInvariance of In Situ Observations from a Very Tall TowerMatthew F. McCabe | Multi-model regional scale estimation ofevapotranspirationEric Wood | Internal validation of a distributed hydrological modelthrough land surface temperature from remote sensingMatthew F. McCabe | Intercomparison of flux measurement approaches:eddy covariance, scintillometers and remote sensing retrievals over agrasslandPoster Session I - Surface Water StorageNaupaka V - VIIBrian Brisco | Wetland Coherence for Water Level EstimationErnesto Rodriguez | The Measurement of Reach-Averaged Discharge bythe SWOT MissionErnesto Rodriguez | The Estimation of Reach-Averaged Bathymetry andFriction Coefficient from SWOT DataDelwyn Moller | Initial Evaluations of SWOT Water Surface ElevationRetrievals Using a High-Fidelity Dynamic SimulatorDelwyn Moller | Topographic Mapping of the Water Surface usingAirborne Millimeter-Wave InterferometryAmanda C. Hall | Observing the Amazon Floodplain with Remote Sensing:ICESat, Radar Altimetry and DGPSC. K. Shum | SURFACE FLOOD AND SMALL WATER BODYMONITORING USING RADAR ALTIMETRY: PROSPECTS FOR SWOTMatthew D. Wilson | The Surface Water and Ocean Topography SatelliteMission – An Assessment of Swath Altimetry Measurements of RiverHydrodynamicsDaniel Esteban Fernandez | KARIN: THE KA-BAND RADARINTERFEROMER FOR THE SWOT MISSIONMichael T. Durand | Optimal interpolation of spaceborne heightmeasurements of river height to support SWOT discharge algorithms11
Page 5 and 6: SCIENTIFIC PROGRAMSUNDAY, 19 FEBRUA
Page 7 and 8: 1600h - 1900hMM-1MM-2MM-3MM-4MM-5MM
Page 9: GM-7GM-8GM-9GM-10GM-11GM-12GM-13160
Page 13 and 14: SMM-8SMM-9SMM-10SMM-11SMM-12SMM-13S
Page 15 and 16: SCM-24SCM-251600h - 1900hPM-1PM-2PM
Page 17 and 18: 1030h - 1200h1030h - 1200h1030h - 1
Page 19 and 20: ET-13ET-14ET-15ET-16ET-17ET-18ET-19
Page 21 and 22: SWT-19SWT-201600h - 1900hSMT-1SMT-2
Page 23 and 24: SCT-14SCT-15SCT-16SCT-17SCT-18SCT-1
Page 25 and 26: MT-2MT-3MT-4MT-5MT-6MT-7MT-8MT-9MT-
Page 27 and 28: 1330h - 1530h1530h - 1600h1600h - 1
Page 29 and 30: esilience to hydrological hazards a
Page 31 and 32: Alfieri, Joseph G.The Factors Influ
Page 33 and 34: Montana and Oregon. Other applicati
Page 35 and 36: accuracy of snow derivation from si
Page 37 and 38: seasonal trends, and integrate clou
Page 40 and 41: a single mission, the phrase “nea
Page 42 and 43: climate and land surface unaccounte
Page 44 and 45: esolution lidar-derived DEM was com
Page 46 and 47: further verified that even for conv
Page 48 and 49: underway and its utility can be ass
Page 50 and 51: Courault, DominiqueAssessment of mo
Page 52 and 53: used three Landsat-5 TM images (05/
Page 55: storage change solutions in the for
Page 59 and 60: Famiglietti, James S.Getting Real A
Page 61 and 62:
can be thought of as operating in t
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mission and will address the follow
Page 65 and 66:
Gan, Thian Y.Soil Moisture Retrieva
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match the two sets of estimates. Th
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producing CGF snow cover products.
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performance of the AWRA-L model for
Page 73 and 74:
oth local and regional hydrology. T
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Euphorbia heterandena, and Echinops
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the effectiveness of this calibrati
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presents challenges to the validati
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long period time (1976-2010) was co
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has more improved resolution ( ) to
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in the flow over the floodplain ari
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fraction of the fresh water resourc
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to determine the source of the wate
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hydrologists, was initially assigne
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Sturm et al. (1995) introduced a se
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calendar day are then truncated and
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climate associated with hydrologica
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California Institute of Technology
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egion in Northern California that i
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Moller, DelwynTopographic Mapping o
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obtained from the Fifth Microwave W
Page 107 and 108:
a constraint that is observed spati
Page 109 and 110:
groundwater degradation, seawater i
Page 111 and 112:
approach to estimate soil water con
Page 113 and 114:
Norouzi, HamidrezaLand Surface Char
Page 115 and 116:
Painter, Thomas H.The JPL Airborne
Page 117 and 118:
Pavelsky, Tamlin M.Continuous River
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interferometric synthetic aperture
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elevant satellite missions, such as
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support decision-making related to
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oth the quantification of human wat
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parameter inversion of the time inv
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ground-based observational forcing
Page 131 and 132:
Selkowitz, DavidExploring Landsat-d
Page 133 and 134:
Shahroudi, NargesMicrowave Emissivi
Page 135 and 136:
well as subsurface hydrological con
Page 137 and 138:
Sturm, MatthewRemote Sensing and Gr
Page 139 and 140:
Sutanudjaja, Edwin H.Using space-bo
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which can be monitored as an indica
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tools and methods to address one of
Page 145 and 146:
Vanderjagt, Benjamin J.How sub-pixe
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Vila, Daniel A.Satellite Rainfall R
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and landuse sustainability. In this
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e very significant as seepage occur
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Wood, Eric F.Challenges in Developi
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Xie, PingpingGauge - Satellite Merg
Page 157 and 158:
Yebra, MartaRemote sensing canopy c
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used. PIHM has ability to simulate
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