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

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

1030h – 1200h1030h – 1200h1030h – 1200h1030h – 1200h1030h – 1200h1030h – 1200h1030h – 1200h1030h – 1200h1200h – 1330h1330h – 1410h1410h – 1450h1450h – 1530h1530h – 1600h1600h – 1630hBreakout Session 5 - Variables Observed by Satellite RemoteSensing: SnowBreakout Session 6 - Variables Observed by Satellite RemoteSensing: SnowBreakout Session 7 - Variables Observed by Satellite RemoteSensing: Surface WaterBreakout Session 8 - Variables Observed by Satellite RemoteSensing: Surface WaterBreakout Session 9 - Variables Observed by Satellite RemoteSensing: GroundwaterBreakout Session 10 - Variables Observed by Satellite RemoteSensing: GroundwaterBreakout Session 11 - Variables Observed by Satellite RemoteSensing: PrecipitationBreakout Session 12 - Variables Observed by Satellite RemoteSensing: PrecipitationLunch on Your Own (Monday)Oral Session 2: Estimating Water Storage Components: SurfaceWater, Groundwater, and Ice/SnowPresiding: Douglas E. Alsdorf, Matthew RodellNaupaka BallroomJohn M. Melack | Inland Waters and the Carbon Cycle INVITEDTom G. Farr | Remote Monitoring of Groundwater with Orbital RadarThomas H. Painter | New Era of Understanding Snow Properties fromSpaceborne and Airborne Remote SensingWilfried Brutsaert | Some Indirect Estimates of Changes in HydrologicConditions During the Past Century INVITEDMonday PM Coffee Break6
1600h – 1900hMM-1MM-2MM-3MM-4MM-5MM-6MM-7MM-8MM-9MM-10MM-11MM-12MM-13MM-14MM-15MM-16MM-17Poster Session I - Modeling and Data AssimilationNaupaka V - VIIAlbert Rango | Hydrology with Unmanned Aerial Vehicles (UAVs)Ngwa J. Nde | Geospatial Analysis of Surface Water Pollution fromAutomobile Waste in Ife Central, NigeriaAugusto Getirana | The hydrological modeling and analysis platform(HyMAP): model results and automatic calibration with ENVISATaltimetric dataJason P. Evans | The Impact of Remotely Sensed Dynamic Land SurfaceConditions on the Simulation of Drought in AustraliaShawana P. Johnson | Geospatial Intelligence and Biomass Research forFreshwater, Food, Feed and EnergyQianlai Zhuang | Modeling the Effects of Land Use Change Due to BiofuelDevelopment on Water Dynamics in the United StatesGuangyu Wang | Sustainability and Landuse Pattern Change Detection inthe Min River Watershed, ChinaHualan Rui | NLDAS Views of North American 2011 Extreme EventsSaumitra Mukherjee | Heliophysical and cosmic ray fluctuation changeshydrological cyclePraveen Kumar | Assessing the Impact of 2011 Mississippi RiverMegaflood on the Landscape Using Lidar and AVIRIS ImagingSpectrometer DataTadanobu Nakayama | Coupling with satellite data and eco-hydrologymodel for evaluation of two extremes in continental scalePrasad S. Thenkabail | Water Use and Water Productivity of Key WorldCrops using Hyperion-ASTER, and a Large Collection of in-situ FieldBiological and Spectral DataMartin Kappas | Simulation of water balance components in a watershedlocated in central drainage basin of IranKholoud Kahime | Water Vulnerability, Agriculture and Energy Impacts ofClimate Change in Morocco: A Case Study the Region of AgadirBaozhang Chen | Spatially explicit simulation of hydrologically controlledcarbon-water cycles based on remote sensing in the Po Yang Lakewhatershed, Jiangxi, ChinaThian Y. Gan | Modeling Gross Primary Production Of Deciduous ForestUsing Remotely Sensed Radiation And Ecosystem VariablesJuan P. Guerschman | Modelling water balance in Australia: understandingthe effects of vegetation structure and biophysical dynamics7
Page 5: SCIENTIFIC PROGRAMSUNDAY, 19 FEBRUA
Page 9 and 10: GM-7GM-8GM-9GM-10GM-11GM-12GM-13160
Page 11 and 12: EM-25EM-26EM-27EM-28EM-29EM-301600h
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
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Famiglietti, James S.Getting Real A
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can be thought of as operating in t
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mission and will address the follow
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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
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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
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a constraint that is observed spati
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groundwater degradation, seawater i
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approach to estimate soil water con
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Norouzi, HamidrezaLand Surface Char
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Painter, Thomas H.The JPL Airborne
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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
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Selkowitz, DavidExploring Landsat-d
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Shahroudi, NargesMicrowave Emissivi
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well as subsurface hydrological con
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Sturm, MatthewRemote Sensing and Gr
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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
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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
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Yebra, MartaRemote sensing canopy c
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used. PIHM has ability to simulate
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