Application and Research of Complementary Relationship Theory in Remote Sensing
互补相关理论在卫星遥感领域的应用研究

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.