Research Of Surface Temperature, Soil Moisture, Elaborates Heat Exchanging Process Between Soil And Geogas By Using Landsat TM Data On Aikili-Saline Land In West Of Jilin Province

Salinization of soil, a common question facing human beings, has serious threaten and destroyed the natural environment to the survival of humans, resulting in huge wasting and deprecating of land resources. Which is harmful for ecological environmental, economic, and society sustainable development of human beings. Therefore, for saline area, especially mild saline area, it is very meaningful to use remote sensing to monitor real-timely to fast acquire saline information, then analyzing the moisture, humidity, energy changing process of geogas to acquire experimental data for improve and optimize saline land.Surface temperature is one of the most important index of global ecological environment dynamic change. At present, there are various remote-sensing-based algorithms aiming at different data. Their basic principle is earth surface thermal radiation propagation equation. The earth surface temperature value cannot be obtained directly, because there will meet many variates, which are undetermined and uncertain during the solving process of thermal radiation propagation equation. Many algorithms will use empirical statistics to estimate parameter during the solving process. However, the complex surface environment of the earth and the instantaneity of the climatic variation make it difficult to meet the accuracy requirements when directly setting the relative relationship between remote sensing signal and surface parameter. This paper firstly applies perturbation equation solving to invert surface temperature to get a solving method of surface temperature based on practical meteorological data, and uses traditional method to solve the same area to get surface temperature data, then compares the results of two methods with measured value, hoping to obtain an inversion algorithm based on factual meteorology data.The estimation of sensible and latent heat flux plays vital role in research area of agricultural production and climatic change, especially in slight alkaline land zone, to propose real-time solution to improve soil step by step. Among many surface fluxes algorithms, this paper mainly applies SEBAL model, which is correspondingly modified, based on previous methods, using above surface temperature and surface monitored meteorological data as given data to get the surface fluxes data of research area.Soil moisture, as the natural resources to the survival of vegetation, plays vital role in agriculture, forestry, climate and other field and is very important to normal cycling operation of energy exchange of geogas, thermal balance, general atmospheric circulation and other natural systems. The spring up of remote sensing technology provides theoretical base for us to monitor real-time soil moisture. This paper based on the former research of other researcher, using Landsat image, sets up a modified thermal inertia model to invert soil humidity in saline land area and gets some achievements.This paper, according to surface temperature model and thermal inertia model, inverts soil temperature, soil humidity, surface net radiation fluxes, sensible heat flux, latent heat flux and soil heat flux in western area of Jilin province in October. By comparing with factual monitored data, it is shown that the surface temperature and surface net radiation fluxes inverted by this paper is desirable, while soil moisture, sensible heat flux, latent heat flux and soil heat flux results need to be further researched.