Estimation of land surface energy balance has become increasingly important in science research and application. R emote sensing has long been identified as a technology capable of monitoring land surface energy

such as Landsat and Moderateresolution imaging spectroradiometer. This study introduced and discussed algorithms that use HJ-1 satellite data to estimate the e nergy budget of land surface including downward shortwave and longwave radiation

surface net radiation

and sensible and latent heat fluxes. Considering the error caused by using radiative surface temperature instead of aerodynamic surface temperature in the one-layer model for sensible heat flux estimation

we compared and analyzed two correction methods

the KB- 1coefficient method and the external resistance method. The surface energy balance components of Haihe River Basin were estimated by HJ-1B satellite data in 2010

and the results were validated by in suit measurements of the three sites. Error analysis indicates that the accuracy of the estimated net radiation is influenced by the uncertainties of input parameters

particularly downward shortwave radiation. The error of the sensible heat flux estimation is mainly caused by the errors in the retrieved surface temperature and roughness length.The results of the KB- 1coefficient method and external resistance method are similar

and the sensible heat flux estimated by the KB- 1coefficient method is usually smaller than that by the other method. Significant errors can be found under complex surfaces

indicating that surface heterogeneity should be considered under such conditions to accurately estimate surface heat fluxes.