Application of Hyperspectral Remote Sensing Technology in Security keeping and monitor of Winter Wheat
Hyperspectral remote sensing is not only an important technical method in the field of global observation, but also can be used in the field of precision agriculture. Because hyperspectral remote sensing data whose spectrum resolution is less than 10nm include a mass of diagnosing spectrum information, indices derived from hyperspectral reflectance spectra have the potential to indicate the environmental stress in crops. The authors used canopy-scale, ground-based measurements of hyperspectral reflectance to demonstrate the features of winter wheat in different development phases under imposed fertility (N rate) and water stress. Field experiments were conducted in 2001～2002 to collect the canopy spectral reflectance of winter wheat in different stresses of Nitrogen and water application in man-made style. Canopy reflectance spectral were acquired by ASD FieldSpec Pro spectrometer in different regions every 7～10 days. At the same time, various field samples and laboratory data were collected for acquiring the biochemical and biophysical parameters such as leaf area index (LAI), leaf relative water content(LRWC), leaf total nitrogen content(LTN), chlorophyll concentration (CHL.C)and chlorophyll density (CHL.D)etc. Correlation analysis was used to acquire the correlative coefficients between hyperspectal indices and parameters of biochemistry and biophysics. The results showed that when the volume of water is in an appropriate given level, the volume of N application increased, the canopy spectral reflectance of wheat gradually increased in infrared region. Also, when the volume of N was in an appropriate given level, the volume of water application increased, the canopy spectral reflectance of wheat gradually increased in infrared region. However, when the volume of N or water application is excessive, the volume of water or N in an appropriate given level, the canopy spectral reflectance will decrease in infrared region. While N in an appropriate given level, with water application increased, the LAI, LRWC,LTN and CHL.D increased whileCHL.C decreased. The position of red edge (λred ) moved to the longer band side before booting which is called red shift. It moved to the short band side after heading which is called blue shift. Slope of red edge (Dλred ), sum of 1st derivative value within red edge (SDr), LAI,CHL.C and CHL.D increased before booting and decreased after heading. Using linear regression method, the estimation models of biochemical and biophysical parameters have been built. Therefore, hyperspectral remote sensing can monitor the growth, nutrition and disease of crops and it can provide information for decreasing risk of disaster.
hyperspectral N and water stress winter wheat Security keeping and monitor regression analysis
WU Jijun ZHANG Jianxiong JIANG Jinbao ZHANG Jianxia
School of Surveying and Land Information Engineering, Henan Polytechnic University; Henan jiaozuo; 4 School of Surveying and Land Information Engineering, Henan Polytechnic University; Henan jiaozuo; 4 College of Resources Science and Technology, Beijing Normal University; Beijing, 100875, P. R. China
国际会议
The 2007 International Symposium on Safety Science and Technology(2007采矿科学与安全技术国际学术会议)
河南焦作
英文
1112-1116
2007-04-17（万方平台首次上网日期，不代表论文的发表时间）