Remote Sensing Monitoring Of Drought In Cotton Based On TM Images

Drought is a common natural disaster,which leads to the worst impact and largest loss of all natural disasters. The drought monitor and forecasting,since a long time,has developed multi-methods of the theory and the technology research. Meanwhile,has established lots of application systems serve the monitoring of the region drought or the global drought. Traditional Field measurement method and the model of soil drought method are usually used on the small-scare farmland;Remote sensing image has abundant information of ground object,it not only covers large area,but also timely,so for the Large-scale fields,the real-time monitoring of drought needs remote sensing technology.This paper combine with Sub-topics of 863 subject"Research and apply management technique in hybrid cotton field information".This thesis takes cotton field of Construction Corps 147,148 groups in Xinjiang Shihezi as research object,studies the method and the model in large-scale field'monitoring of drought.As Xinjiang receives the satellite data types are limited,we selected TM image which type is applied more in the area. According to the combination of TM images(July 13,July 29,August 14,August 30in2008)and field data during the crucial moment when drought would occur,we developed a simple and effective method on the monitoring of soil drought in cotton field,which can conduct the production and practice. The main content of this thesis in the following are as:â‘ Research of remote sensing in cropland's soil moisture model and method falling together optical and thermal infrared.Using tasseled cap transformation method to get moisture data,meanwhile,combined with cotton canopy temperature information for analyze which inverting from the 6-band of TM image,then established model and got the water content of soil.â‘¡Research of remote sensing method in Visible - Near Infrared Spectroscopy of space and cropland's drought.Two-dimensional of the spatial distribution analysis was applied with Red-Nir to gain the soil line,the vertical drought index PDI and the improved vertical drought index was separately used to found cotton field drought model. Moreover,compared the applicability of the two models.â‘¢Research of remote sensing monitoring method in soil moisture which based on spectral unmixing.The linear mixed-pixel unmixing method was used to decompose the images and got the soil pure pixel for soil moisture. The precision result reaches the demand of the monitoring.â‘£Research of remote sensing monitoring methods and application in agricultural drought.Carried out Xinjiang Shihezi Construction Corps (147 and 148) field experiments to obtain the results,and which shows the ravages of a drought and the real situation are unanimous.At the same time,research agricultural drought in an integrated model and the method of inversion,monitoring and evaluation of soil moisture content in cotton field,then divide the drought level. So that,people can according to the different drought level to apply the corresponding management measure. Meanwhile,this thesis provide technical support to make irrigating reasonably and water resources utilize efficiently.