The Study of Applying Hyper-spectral Remote Sensing Technology in Soil Moisture Monitoring

摘要

Precision agriculture need information on surface soil moisture fast and timely.Because of high-resolution and multi-band in spectral,hyper-spectral remote sensing can be used to detect slight differences in soil moisture,which has reference value on the provision of timely,accurate and fast information on soil moisture content.Taking black soil in Jilin Province of China as the research object,this paper analyzed soil hyperspectral characteristics and extracted parameters by using a series of methods such as spectral differentiation,feature-band extraction and multiple stepwise regression analysis.The relationship between soil moisture and soil spectra was analyzed combined with soil moisture laboratory measurement.Five models were used to quantitative inversion in order to seek soil moisture monitoring by applying hyperspectral remote sensing.The conclusion was as follows:①in the below field water holding capacity condition,the sensitive bands of black soil spectral reflectance and its reciprocal and logarithmic transformation mainly focused in 400-470nm,1950-2050nm and 2100-2200nm.The highest correlation coefficient between laboratory spectral data and soil moisture reached to 0.89 at 2156nm.②The best prediction model of black soil moisture content by using hyperspectral remote sensing was Y=22.16+26278.2x1328-47785.1x1439-201.42x1742+49306.34x2156,x=(lgR)',Y representing soil moisture content (％),coefficient of determination was 0.931.