首页> 中文期刊> 《测绘与空间地理信息》 >基于landsat8-OLI/TIRS和HJ-1B太湖叶绿素含量和温度反演研究

基于landsat8-OLI/TIRS和HJ-1B太湖叶绿素含量和温度反演研究

         

摘要

The temperature of the surface water is an important parameters in studying the changes of environmental climate,moreover it is indispensable at the research of biophysical process.Satellite remote sensing owning the incomparable efficiency about monitoring the temperature of the surface water large area to the traditional measurement methods.The variation of water superficial temperature is not crucial to the survival of water biological,but leads to the plankton and water plants grow prosperously which results in the contaminate to the water resources,and then,brings the grievous impact on people's lives.The article carried out a series of experiments,utilizing the ENVI/IDL 5.1 dealing with the date that are from the landsat 8 OLI/TIRS satellite and HI-1CCD multispectral,which contains monitoring in the region where the lake of Taihu is the inversion of temperature and the content of chlorophyll.The consequence demonstrates:1)there exists the consistence between the results using HJ-1B inversion and landsat 8;2)it testify the reliability of the model and the sources of errors,though verifying the results of the experiment that refers to the model which was established based on between the data measured and inverse with the real measured corresponding points.Finally,analyzing the reasons why the content of chlorophyll and the difficulties at the inversion.%水体的表面温度是研究环境气候变化的一个重要参数,同时,也是研究生物物理过程的一个不可或缺的因子.卫星遥感对大面积水体表面温度的监测有着传统的测量手段无法比拟的效率.水体表面的温度变化不仅对水中生物的生存有着重要的意义,同时,水温的变化也常常会导致水中浮游生物和植物疯长,进而引起水资源的污染,对人们的生活造成严重的影响.本文利用ENVI/IDL 5.1 对Landsat 8卫星的OLI/TIRS数据和HJ-1CCD多光谱数据在太湖水体区域开展了其在温度反演和叶绿素含量的监测等领域的研究.研究结果表明:1)使用HJ_1B反演的结果和Landsat 8反演的结果呈现一致性.2)通过实测的数据和反演数据建立了模型并通过同名点实测数据对实验结果进行了验证,证明了建立的模型的可靠性,找到了误差来源.最后分析了造成叶绿素含量较高的原因及反演的难点.

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