2012 AGU Chapman Conference on Remote Sensing of the ...
2012 AGU Chapman Conference on Remote Sensing of the ...
2012 AGU Chapman Conference on Remote Sensing of the ...
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SCM-8SCM-9SCM-10SCM-11SCM-12Anne Walker | Airborne and Ground-Based Passive Microwave RadiometerField Campaigns for <strong>the</strong> Development and Validati<strong>on</strong> <strong>of</strong> new SatelliteDerived Snow DatasetsAnne Walker | Spring thaw detecti<strong>on</strong> from satellite active and passivemicrowave measurementsAndrés Varhola | Combining Coordinate-Transformed Airborne LiDARand LANDSAT Indices to Obtain Forest Structure Metrics Relevant toDistributed Hydrologic ModelingAnne E. Walker | Canadian Advancements in Characterizing High LatitudeSnow Cover Properties Using Satellite DataMelody Sandells | Can simpler models reproduce <strong>the</strong> snow temperaturegradients <strong>of</strong> many-layered models for remote sensing <strong>of</strong> snow mass? ASNOWMIP2 intercomparis<strong>on</strong>SCM-13 Thian Y. Gan | Changes in North American Snow packs for 1979-2004Detected from <strong>the</strong> Snow Water Equivalent data <strong>of</strong> SMMR and SSM/IPassive Microwave and related Climatic FactorsSCM-14SCM-15SCM-16SCM-17SCM-18SCM-19SCM-20SCM-21SCM-22SCM-23Kathryn A. Semmens | <strong>Remote</strong> <strong>Sensing</strong> <strong>of</strong> Snowmelt - Understanding aChanging (and Melting) FutureMichael T. Durand | Snow microstructure and passive microwave remotesensing <strong>of</strong> snow: Field experiments at Storm Peak Laboratory, Colorado,USANarges Shahroudi | Microwave Emissivities <strong>of</strong> Land Surfaces: Detecti<strong>on</strong> <strong>of</strong>Snow over Different Surface TypesBenjamin J. Vanderjagt | How sub-pixel snow depth, vegetati<strong>on</strong>, and grainsize variability affect <strong>the</strong> ability to estimate large-scale SWE frommicrowave measurements in alpine areasSusan Frankenstein | Using microwave remote sensing to determinepatterns <strong>of</strong> swe and melt timing in remote envir<strong>on</strong>mentsNoah P. Molotch | <strong>Remote</strong> <strong>Sensing</strong> <strong>of</strong> <strong>the</strong> Mountain Snowpack:Integrati<strong>on</strong> <strong>of</strong> Observati<strong>on</strong>s and Models to Support Water ResourceManagement and Ecosystem ScienceJeffrey S. Deems | LiDAR for snow depth mapping: overview, error sources,and snow as a laser targetEdward Kim | Multilayer Snow Microwave Model Intercomparis<strong>on</strong>s andScale Implicati<strong>on</strong>s for Future Snow Missi<strong>on</strong>sPeter B. Kirchner | Measuring under-canopy snow accumulati<strong>on</strong> withairborne scanning LiDAR altimetry and in-situ instrumentalmeasurements, sou<strong>the</strong>rn Sierra Nevada, CaliforniaKazuyo Murazaki | Discriminati<strong>on</strong> Between Rain and Snow in Japan Withan Operati<strong>on</strong>al C<strong>on</strong>venti<strong>on</strong>al C-band Radar Network14