Surface energy fluxes over El Reno, Oklahoma, using high‐resolution remotely sensed data

摘要: [1] Accurate estimation of spatial distributions evapotranspiration (ET) is a goal sought by hydrologists, agronomists, and meteorologists but difficult to achieve. The usual approaches estimating ET employ remote sensing observations surface energy flux model. However, resolution data, needed observe patterns biophysical variables, commonly too coarse (>1 km) distinguish between land cover types that constrain ET. Accuracy estimates can be improved using higher-resolution (<100 m) data since they clusters vegetation from bare soil fields water bodies. A demonstration this potential shown aircraft-based over study site at El Reno, Oklahoma. Five midday surveys, conducted 29 June 2 July 1997, as part the Southern Great Plains 1997 Experiment (SGP97), collected 12 m images in visible, near infrared, thermal infrared. Surface temperature density maps, created these were combined with micrometeorological two source balance Results Reno show respect ground-based eddy covariance accurate within 40–80 W m−2. This means high potentially produce similar quality point measurements. Additional work, how high-resolution related coarser observations, underway satellite sensors ASTER (15–90 resolution) MODIS (250 1 km resolution).