Remote sensing for surface water hydrology • RS applications for assessment of hydrometeorological states and fluxes – Soil moisture, snow cover, snow water equivalent, evapotranspiration, vegetation cover and water content, land surface energy balance, water quality • The above parameterize numerous physical, conceptual, and empirical models of surface water dynamics, such as runoff, infiltration, and streamflow • Can runoff/streamflow be directly observed and quantified with RS? Not with any current technology
Remote sensing for surface water hydrology. RS applications for assessment of hydrometeorological states and fluxes Soil moisture, snow cover, snow water equivalent, evapotranspiration, vegetation cover and water content, land surface energy balance, water quality - PowerPoint PPT Presentation
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Remote sensing for surface water hydrology
• RS applications for assessment of hydrometeorological states and fluxes– Soil moisture, snow cover, snow water equivalent,
evapotranspiration, vegetation cover and water content, land surface energy balance, water quality
• The above parameterize numerous physical, conceptual, and empirical models of surface water dynamics, such as runoff, infiltration, and streamflow
• Can runoff/streamflow be directly observed and quantified with RS?
NEXRAD MPE radar estimate of hourly precipitation rate for 4 July 2006 (21:00 GMT) for Sandies Creek watershed and surrounding region. Rates ranged from 0.0 mm/hr (black pixel) to 14.6 mm/hr (white pixel) for cells within the watershed
Daytime LST (8 day composite) for the Sandies Creek watershed for the period 18 - 25 February 2002. Mean temperatures for this period ranged from 24.9 C (dark pixels) to 29.3 C (light pixels).
NDVI (16 day composite) image of the Sandies Creek watershed for the period 18 February – 6 March 2002. Dark-toned and light-toned pixels represent low and high NDVI values (stressed vegetation vs healthy), respectively.
How is LST coupled to soil moisture (or vice versa)
• Heat flux from the earth’s surface– Radiative flux (long wave thermal 9-13 μm)– Sensible heat flux (convection and conduction)– Latent heat flux (phase change)
• Is soil surface emissivity affected by soil moisture? would this affect radiative, sensible, or latent heat loss?
• Would a loss or gain of near-surface soil moisture likely impact sensible or latent heat flux?