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

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

GT-6GT-7GT-8GT-91600h – 1900hET-1ET-2ET-3ET-4ET-5ET-6ET-7ET-8ET-9ET-10ET-11ET-12Amit Singh | ASSESSMENT OF MORPHOTECTONIC INFLUENCES ONHYDROLOGICAL ENVIRONMENT IN VICINITY OF AN ACTIVE FAULTMatthew W. Becker | Wetlands as Groundwater Piezometers in BorealForestsMartin Kappas | Simulation of water balance components in a watershedlocated in central drainage basin of Iran by A. Rafiei Emam and Martin W.KappasWei Feng | Evaluation of groundwater depletion in North China using theGravity Recovery and Climate Experiment (GRACE)Poster Session II - EvaportranspirationNaupaka V - VIIEslam F. Farg | Estimation of Evapotranspiration and Crop Coefficient Kcof Wheat, in south Nile Delta of Egypt Using integrated FAO-56 approachand remote sensing dataYoungryel Ryu | Integration of MODIS Land and Atmosphere ProductsWith a Coupled-process Model to Estimate Evapotranspiration From 1 kmto Global ScalesNana Yan | An Operational Regional ET Monitoring System (ETWatch)and Its ValidationMirza M. Billah | Impacts of Different Evapotranspiration Estimates onQuantify Regional Scale Terrestrial Water StorageJoseph G. Alfieri | The Factors Influencing Seasonal Variations inEvaporative Fluxes from Spatially Distributed Agro-EcosystemsJohn Worden | Constraints on High Latitude Moisture Fluxes andContinental Recycling Using Satellite and Aircraft Measurements of WaterVapor IsotopesShusen Wang | Characterization of Spatiotemporal Variations inEvapotranspiration Over Canada’s LandmassJared W. Oyler | Assessment of the MODIS Global TerrestrialEvapotranspiration Algorithm within a Mountainous LandscapeLahouari Bounoua | Century Scale Evaporation Trend: An ObservationalStudyGregory J. Tripoli | Trends in Evapo-transpiration in the Great Lakes StatesPrasad S. Thenkabail | Global croplands and their water use assessmentsthrough advanced remote sensing and non-remote sensing approachesMarcelo Nosetto | Land-use changes in temperate Argentina: Assessingtheir hydrological impacts with remote sensing18
ET-13ET-14ET-15ET-16ET-17ET-18ET-19ET-20ET-21ET-22ET-23ET-24ET-25ET-26ET-271600h – 1900hSWT-1Kaniska Mallick | Development of MODIS-based global net radiation forevapotranspiration studies at 1 km2Kaniska Mallick | A satellite net available energy retrieval scheme for globalevapotranspiration studies using AQUA platformMarta Yebra | Remote sensing canopy conductance for combined waterand carbon studiesPoolad Karimi | Remote sensing application to support water accountingin the transboundary Indus BasinHan Dolman | Analyzing the Magnitude and Variability of LandEvaporation using Satellite InformationPercy Link | Variability of oceanic and terrestrial water vapor sources in theAmazon Basin: An investigation using TES satellite and MERRA reanalysisat varying temporal resolutionsMekonnen Gebremichael | Estimation of Daily Evapotranspiration overAfrica using MODIS/Terra and SEVIRI/MSG dataHolly Maness | The Hydrologic Impact of the British Columbia MountainPine Beetle Infestation From Remotely Sensed DataForrest S. Melton | An Operational Framework for Estimation ofAgricultural Evapotranspiration with the Terrestrial Observation andPrediction SystemJordan Borak | A Dynamic Vegetation Aerodynamic Roughness LengthDatabase Developed From MODIS Imagery for Improved Modeling ofGlobal Land-Atmosphere ExchangesJuan Guerschman | An operational actual ET product for AustraliaJavzandulam Tsend-Ayush | Generating a long-term vegetation index datarecord from AVHRR and MODISDavid C. Noone | Evaluation of tropical continental water cycling fromspace-based observations of water isotope ratiosMax B. Berkelhammer | Moisture budgets in the southwestern US ondiurnal to seasonal timescales and their association with sub-canopy tobasin-wide processesChristopher M. Neale | Water balance of Large Irrigation Systems usingRemotely Sensed ET EstimatesPoster Session II - Surface Water StorageNaupaka V - VIIEtienne Fluet Chouinard | Towards a High-Resolution Global InundationDelineation Dataset19
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 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: 1030h - 1200h1030h - 1200h1030h - 1
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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