With the development of land management from emphasizing quantity management to quality and ecology protection

higher demand for monitoring land resource and environment was arisen. The hyperspectral remote sensing image which has accurate and detail spectrum provides detailed surface information and improves precision

extent and the depth of dynamic monitoring on land use and will be widely applied in monitoring on land quality. This paper puts emphasis upon making a study of information extraction technology and methods for monitoring land quality indicators

including soil organic matter and soil moisture. Based on analyzing the spectrum of soil in Yixing and Hengshan field area

we think that the intensity of spectrum reflection is low when the concentration of soil organic matter is high. The highly desertified soil has the highest intensity of spectrum reflection measured in the laboratory

followed by moderately

slightly

and non-desertied soil. The highly water-eroded soil has relatively high intensity of spectrum reflection

but the difference in the measured intensity of spectrum refection of moderately

slightly and non water-eroded soil in the laboratory was not significant. According to above analysis

we created regression model of soil organic matter at the wavelength of 677

1202

2074 and 1509 nm and of soil moisture at the wavelength of 1432

1524 and 1746 nm

employing multiple statistics. In addition

we used the regression model of soil organic matter to develop the map of soil organic matter concentration in the Yixing experimental area

employing imaging spectroscopy. Finally

we discussed the problems in the application of regression model.