Scaling up in Hydrology Using Remote Sensing

Le résumé fourni par la source

Remote Sensing and Scaling in Hydrology Effects on Surface Heterogeneity on Thermal Remote Sensing of Land Parameters Estimation of Aerodynamic Roughness at Various Patial Scales Areal Average Surface Fluxes from Mesoscale Meteorological Models Surface Radiation Budget Estimation of Surface Resistance and Priestley-Taylor Parameter at Different Scales Spatial Structure and Scaling of Surface Fluxes in a Great Basin Ecosystem Sensible Heat Flux Remotely-Sensed Data at Different Resolutions Scintillometer Measurements of Sensible Heat Flux over Heterogeneous Surfaces Scaling-up Surface Fluxes from Canopy to Region Responses of the Convective Boundary Layer and the Surface Energy Balance to Large Scale Heterogeneity Soil Moisture Variability Spatial Variability of Saturated Soil Hydraulic Conductivity Derived from Remotely Sensed Data Errors in Estimation of Areal Soil Water Content from SAR Data Radar and Optional Remote Sensing to Infer Evapotranspriration and Soil Moisture Daytime Evaporation from Conservation of Surface Flux Ratios Extrapolation of Evaporation at Time of Satellite Overpass to Daily Totals.

Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.