Almost all the energy directly or indirectly comes from incident solar radiation on the earth. However

the difference of earth’s movement and latitude brings about unique distribution of energy in the temporal and spatial domains. As a results unique distribution of energy leads to great change among atmosphere

ocean

glacier/snow

land surface and creature. In some temporal scale

this kind of influencing significance even has exceeded the effect of the solar activity. In the transfer of mass

energy and momentum

because of the different physical characteristics and roles that land surface has played

it requires us to build up an accurate database of land surface type. A perfect transcendental knowledge is a precondition to derive surface albedo and temperature. Surface albedo and temperature describe the information of inner structure of vegetation

and distribution of energy. Ultimately

they decide how to distribute the energy and mass between the earth’s surface and atmospheric layers. Latent is an important parameter that describes the exchange of energy between land surface and atmosphere. Reliable estimates of latent are essential to significant improvements in the field of GCM. Complementary Relationship （CRAE） areal evapotranspiration models only need meteorological data in the process of calculating latent

some important meteorological data can be derived thorough satellite. Therefore

in this paper

CRAE is applied to the field of remote sensing. Some parameters that CRAE is required for example

surface albedo

temperature is derived completely from NOAA AVHRR data. Penman formula and large scale advection parameter are corrected through the measured data. Finally

farmland and inland water evaporation of North China is calculated by applying CR model.