The Study of Applying Hyper-spectral Remote Sensing Technology in Soil Moisture Monitoring
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.
hyper-spectral remote sensing soil moisture soil spectral reflectance
WEI Na YAO Yanmin CHEN Youqi TANG Pengqin XU Xinguo YU Qiangyi
The Lab of Resources Remote Sensing and Digital Agriculture,Ministry of Agriculture,Beijing 100081,P.R.China;Institute of Agricultural Resources and Regional Planning,Chinese Academy of Agricultural Sciences,Beijing 100081,P.R.China
国际会议
Woekshop on Agricultural Land Use and its Effect in APEC Member Economies(APEC地区农业土地利用及其影响国际研讨会)
北京
英文
58-68
2009-10-19（万方平台首次上网日期，不代表论文的发表时间）