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

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effect precipitation make it difficult to trust CaPA over theGreat Lakes region. An experimental version of CaPA is ableto assimilate radar reflectivity and GOES imagery, mergingthese informations which are available over the Great Lakeswith gauge data and the GEM model background, but thisproduct is difficult to verify, as there are no gauges over thelakes themselves. We show how hydrological observationscan help assess the skill of the precipitation analysis,through a water balance analysis of each lake.http://www.weatheroffice.gc.ca/analysis/Frankenstein, SusanUsing microwave remote sensing to determinepatterns of swe and melt timing in remoteenvironmentsFrankenstein, Susan 1 ; Deeb, Elias 11. ERDC-CRREL, Hanover, NH, USASatellite microwave data have the ability to provide neardailysnow hydrology predictions in remote areas. Lackingground observations in denied regions, the Army relies onthese satellites to predict seasonal water resources, mobilityimpacts, and flood hazard mitigation. Moreover, a broadapplication of these data is limited by melt heterogeneity incomplex mountain catchments. This research uses a wellinstrumentedmountain test basin in the United States toestablish the relationship between terrain characteristics,satellite-derived snow hydrology parameters, modeling,ground-based observations and snow and water resources.We currently use, data from two passive microwave sensorsto provide near-daily estimates of snow water equivalent(SWE) and snowmelt timing, both vital parameters inmodeling the hydrology of snow-dominated basins. Theseare the Special Sensor Microwave/Imager (SSM/I, ~ 25kmspatial resolution) and the Advanced Microwave ScanningRadiometer (AMSR-E, ~ 12.5km spatial resolution). Bothplatforms have historical periods of record (SSM/I 1987-present; AMSR-E 2002-2011) which are used to establishpatterns of SWE accumulation/ablation and snowmelttiming. The mountainous regions of southwesternColorado, serve as a corollary test basin for the Hindu KushMountains of Afghanistan based on the region havingsimilar topographic relief, elevation, and relatively dryclimatology. The Senator Beck Basin Study Area, San JuanMountains, Colorado is identified as a test case for thisresearch. Since 2003 a full suite of ground-basedmeteorological and energy budget observations have beencollected at two distinct elevation zones in this alpineheadwater catchment. Nearby stream gage data also providerelationships between springtime changes in solar radiation,timing of snowmelt, and influx of water into the system. Thethird component of our investigation is model runs usingthe land surface model FASST (Fast All-season soilSTrength). FASST is a one-dimensional ground andvegetation model developed as part of an Army program toprovide the dynamic terrain response to predictive weatherforcing. Using a full physics mass and energy balanceapproach, FASST calculates the ground’s moisture (liquid +vapor) and ice content, temperature, and freeze/thawprofiles, as well as soil strength and surface ice and snowaccumulation/ depletion. It also calculates the vegetationtemperature profile and vegetation intercepted precipitation.With the historical records of satellite-derived snowhydrology parameters, ground-based observations andaccompanying model runs, a predictive algorithm will beestablished for snowmelt timing in the basin including theeffects of vegetation and terrain complexity.Freeman, AnthonyThe EV-1 Airborne Microwave Observatory ofSubcanopy and Subsurface (AirMOSS)InvestigationFreeman, Anthony 1 ; Moghaddam, Mahta 9 ; Lou, Yunling 1 ;Crow, Wade 2 ; Cuenca, Richard 4 ; Entekhabi, Dara 5 ; Hensley,Scott 1 ; Hollinger, Dave 6 ; Reichle, Rolf 7 ; Saatchi, Sassan 1 ;Shepson, Paul 8 ; Wofsy, Steve 31. Earth Sciences, Jet Propulsion Laboratory, Pasadena, CA,USA2. Hydrology and Remote Sensing Laboratory, USDA,Beltsville, MD, USA3. Harvard University, Cambridge, MA, USA4. Department of Biological & Ecological Engineering,Oregon State University, Corvallis, OR, USA5. Earth, Atmospheric and Planetary Sciences,Massachusetts Institute of Technology, Cambridge, MA,USA6. Forest Service, USDA, Durham, NH, USA7. GSFC, Greenbelt, MD, USA8. Chemistry, Purdue University, West Lafayette, IN, USA9. Electrical Engineering and Computer Science, Universityof Michigan, Ann Arbor, MI, USAAirMOSS is one of the five Earth Venture-1investigations selected in May 2010, with the goal ofimproving the estimates of the North American netecosystem exchange (NEE) through high-resolutionobservations of root zone soil moisture (RZSM). The 5-yearAirMOSS investigation is deigned to overlap with the SMAP62
mission and will address the following science questions: 1.Quantitatively, what are the local-, regional-, andcontinental-scale heterogeneities of RZSM in NorthAmerica? 2. Quantitatively, how does RZSM controlecosystem carbon fluxes at each of these scales? 3. By howmuch will the estimates of North American NEE improvewith the accurate knowledge of both the mean and thevariance of RZSM? To obtain estimates of RZSM and assessits heterogeneities, AirMOSS will fly a newly developedNASA P-band (430 MHz) synthetic aperture radar (SAR) over2500 km2 areas within nine major biomes of north America,from <strong>2012</strong> to 2014. The flights will cover areas containingflux tower sites in regions from the boreal forests in centralCanada to the tropical forests in Costa Rica. The radarsnapshots will be used to generate 100-m resolutionestimates of RZSM via inversion of scattering models ofvegetated surfaces. These retrievals will in turn beassimilated or otherwise used to estimate land modelhydrological parameters over the nine biomes, generating afine-grained time record of soil moisture evolution in theroot zone, and integrated with an ecosystem demographymodel to predict component carbon fluxes. The sensitivityof carbon flux components to RZSM uncertainties andheterogeneity will be quantified. In-situ soil moisture andatmospheric carbon measurements are planned forvalidation of the AirMOSS product suite. The AirMOSSradar is currently under construction at JPL, with firstscience flights expected in June <strong>2012</strong>. In-situ soil sensingprofiles are currently being deployed at the AirMOSS sites,and test flights for atmospheric carbon measurements arealso planned in the next several months. The entire dataprocessing chain, including SAR data processing, radarRZSM retrievals, land surface hydrology modeling, andecosystem demography modeling are being implementedand tested prior to the first science flights. This paper willprovide an overview of the investigation, campaign design,and development status. Part of the research described inthis paper was carried out by the Jet Propulsion Laboratory,California Institute of Technology, under a contract with theNational Aeronautics and Space Administration.French, Andrew N.Evapotranspiration Estimation with SimulatedHyspIRI ObservationsFrench, Andrew N. 1 ; Sanchez, Juan M. 2 ; Valor, Enric 3 ; Coll,Cesar 3 ; Schmugge, Tom 4 ; Thorp, Kelly 1 ; Garcia-Santos,Vicente 31. U.S. ALARC, USDA/ARS, Maricopa, AZ, USA2. Univ. Castilla-La Mancha, Albacete, Spain3. Univ. Valencia, Valencia, Spain4. New Mexico State Univ, Las Cruces, NM, USAAvailability of frequent and high-moderate spatialresolution remote sensing data is important for developingreliable maps of evapotranspiration (ET). These attributesare needed because changes in ET patterns at daily to weeklytime steps and at
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SCIENTIFIC PROGRAMSUNDAY, 19 FEBRUA
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1600h - 1900hMM-1MM-2MM-3MM-4MM-5MM
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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
Page 59 and 60: Famiglietti, James S.Getting Real A
Page 61: can be thought of as operating in t
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
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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
Page 157 and 158:
Yebra, MartaRemote sensing canopy c
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used. PIHM has ability to simulate
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