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

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

SWM-11SWM-12SWM-13SWM-14SWM-15SWM-16SWM-17SWM-18SWM-19SWM-201600h – 1900hSMM-1SMM-2SMM-3SMM-4SMM-5SMM-6SMM-7Douglas E. Alsdorf | Transforming Surface Water Hydrology ThroughSatellite MeasurementsBrian Pollard | The Surface Water / Ocean Topography Mission: HighResolution, Wide Swath Surface Water Topography from SpaceKonstantinos Andreadis | Assessing the information content of SWOTobservations for hydrologic estimationJohn Lenters | An international collaboration to examine global laketemperature trends from in situ and remote sensing data: Project objectivesand preliminary resultsJean Négrel | River surface roughness sensitivity to wind conditions : insitu measurement technique, processing method and resultsMatthew K. Mersel | Effects of Reach Averaging on Empirically-Based,Remotely-Sensed Estimates of River DepthJoecila SANTOS DA SILVA | ALTIMETRY OF THE AMAZON BASINRIVERSDavid C. Goodrich | TRMM-PR Satellite-Based Rainfall Retrievals overSemi-Arid Watersheds Using the USDA-ARS Walnut Gulch Gauge NetworkHyongki Lee | Characterization of Terrestrial Water Dynamics in theCongo Basin Using GRACE and Satellite Radar AltimetryDavid C. Goodrich | TRMM-PR Satellite-Based Rainfall Retrievals overSemi-Arid Watersheds Using the USDA-ARS Walnut Gulch Gauge NetworkPoster Session I - Soil MostureNaupaka V - VIIMichael H. Cosh | Validating the BERMS in Situ Soil Moisture Networkwith a Large Scale Temporary NetworkEni G. Njoku | Soil Moisture Active Passive (SMAP) Mission Science andData Product DevelopmentMarkus C. Enenkel | Improved agricultural Drought Monitoring viaremotely sensed Soil Moisture DataEric Wood | Creating Global Soil Moisture Data Record From AMSR-EThrough Calibration of a Radiative Transfer ModelAngelika Xaver | Recent progress on the International Soil MoistureNetworkHelin Wei | The application of satellite remote-sensing data products forland surface modeling in the NCEP operational modelsHans Lievens | Assimilation of SMOS data into a coupled land surface andradiative transfer model for improving surface water management12
SMM-8SMM-9SMM-10SMM-11SMM-12SMM-13SMM-14SMM-15SMM-16SMM-171600h – 1900hSCM-1SCM-2SCM-3SCM-4SCM-5SCM-6SCM-7Jeffrey P. Walker | The Soil Moisture Active Passive Experiment: TowardsActive Passive Retrieval and DownsclaingSamuel Chan | SMAP Instrument Design For High Resolution SoilMoisture And Freeze/Thaw State MeasurementsChristoph Rudiger | SMOS Soil Moisture Validation in AustraliaYoomi Hur | Serious Radio Frequency Interference from SMOS: Case studyin East AsiaRobert Parinussa | Global quality assessment of active and passivemicrowave based soil moisture anomalies for improved blendingAlejandro Monsiváis-Huertero | SOIL MOISTURE FIELDMEASUREMENTS:THE VALIDATION PROCESS USING MICROWAVEREMOTE SENSINGAlejandro Monsivais-Huertero | Optimal use of active/passive microwaveobservations at L-band for improving root zone soil moistureNarendra Das | Past, Present and Future of Satellite-based Remote Sensingto Measure Surface Soil Moisture: With Emphasis on Soil Moisture ActivePassive Mission (SMAP) MissionHamidreza Norouzi | Land Surface Characterization Using Multi-satelliteMicrowave ObservationsBrian K. Hornbuckle | Iowa: Field (Experiment) of Dreams?Poster Session I - Snow and Cold RegionsNaupaka V - VIIJessica E. Cherry | Advances in Airborne Remote Sensing of HydrologicChange in Cold RegionsNai-Yu Wang | Developing Winter Precipitation AlgorithmKristine M. Larson | GPS Snow SensingJonathan Muñoz Barreto | CREST-SAFE: The CREST-Snow Analysis andField ExperimentR. D. Garg | Estimating Snow Water Equivalent (SWE) in the Part ofNorth West Himalayan Catchment of Beas River, using Synthetic ApertureRadar (SAR) dataJames L. McCreight | Validation of satellite-derived seasonal snow cover byairborne LiDARSteven Mitchell | Bathymetric Polarization Lidar for Hydrologic RemoteSensing Applications13
Page 5 and 6: SCIENTIFIC PROGRAMSUNDAY, 19 FEBRUA
Page 7 and 8: 1600h - 1900hMM-1MM-2MM-3MM-4MM-5MM
Page 9 and 10: GM-7GM-8GM-9GM-10GM-11GM-12GM-13160
Page 11: EM-25EM-26EM-27EM-28EM-29EM-301600h
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
Page 63 and 64:
mission and will address the follow
Page 65 and 66:
Gan, Thian Y.Soil Moisture Retrieva
Page 67 and 68:
match the two sets of estimates. Th
Page 69 and 70:
producing CGF snow cover products.
Page 71 and 72:
performance of the AWRA-L model for
Page 73 and 74:
oth local and regional hydrology. T
Page 75 and 76:
Euphorbia heterandena, and Echinops
Page 77 and 78:
the effectiveness of this calibrati
Page 79 and 80:
presents challenges to the validati
Page 81 and 82:
long period time (1976-2010) was co
Page 83 and 84:
has more improved resolution ( ) to
Page 85 and 86:
in the flow over the floodplain ari
Page 87 and 88:
fraction of the fresh water resourc
Page 89 and 90:
to determine the source of the wate
Page 91 and 92:
hydrologists, was initially assigne
Page 93 and 94:
Sturm et al. (1995) introduced a se
Page 95 and 96:
calendar day are then truncated and
Page 97 and 98:
climate associated with hydrologica
Page 99 and 100:
California Institute of Technology
Page 101 and 102:
egion in Northern California that i
Page 103 and 104:
Moller, DelwynTopographic Mapping o
Page 105 and 106:
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
Page 119 and 120:
interferometric synthetic aperture
Page 121 and 122:
elevant satellite missions, such as
Page 123 and 124:
support decision-making related to
Page 125 and 126:
oth the quantification of human wat
Page 127 and 128:
parameter inversion of the time inv
Page 129 and 130:
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
Page 141 and 142:
which can be monitored as an indica
Page 143 and 144:
tools and methods to address one of
Page 145 and 146:
Vanderjagt, Benjamin J.How sub-pixe
Page 147 and 148:
Vila, Daniel A.Satellite Rainfall R
Page 149 and 150:
and landuse sustainability. In this
Page 151 and 152:
e very significant as seepage occur
Page 153 and 154:
Wood, Eric F.Challenges in Developi
Page 155 and 156:
Xie, PingpingGauge - Satellite Merg
Page 157 and 158:
Yebra, MartaRemote sensing canopy c
Page 159 and 160:
used. PIHM has ability to simulate
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