内蒙古闪电河流域土壤含水率遥感反演研究

发布时间：2018-06-30 11:21

本文选题：土壤含水量 + 遥感反演模型　；参考：《内蒙古农业大学》2016年硕士论文

【摘要】：土壤水分为陆地植被和作物的提供直接水源,对土地的生产能力起决定性的作用。由于土壤水分介于土壤界面和大气界面的交界处,从而直接控制和影响二者的相互作用,土壤水分的监测对农业、气象、生态,水文等领域都具有十分重要的研究意义。随着遥感技术的逐渐成熟和和不断发展,使得大规模动态实时监测土壤水分状况成为可能,在很大程度上克服了传统的土壤含水量监测方法的不足之处,具有实用高效,简便灵活的优点。闪电河流域我国生态最脆弱的地区之一,属于生态环境脆弱的草原荒漠地区,而水资源匮乏是制约干旱草原区生态植被稳定和恢复的主要瓶颈。因此了解和掌握该研究区域的土壤表层水分的空间分布规律,建立起不同植被覆盖度条件下土壤表层水分相关数学模型,对当地生态和好转科学发展具有重要的实际意义和重大价值。本文主要研究了利用landsat8 TIRS遥感数据对滦河上游闪电河流域的土壤含水率的遥感反演。现阶段土壤含水率的遥感反演是将土壤假设为裸土和高植被覆盖度情况下的两种理想状态,裸土土壤水分遥感反演的方法主要有光谱法等,而温度植被指数TVDI法适用于植被覆盖度较高的情况下,因此针对光谱法和TVDI法的不同特点,以闪电河流域为应用实例,为取得较好反演精度,将光谱法和TVDI法结合起来建立该流域最终的含水率反演模型。通过使用低植被覆盖度样点23个建立了光谱法反演土壤含水率的方程,利用剩余的15个样点进行了光谱法的精度验证,结果表明光谱法的的精度达到80%以上；利用高植被覆盖度样点建立了TVDI法土壤含水率反演的方程,与实测土壤含水率进行相关性分析,以NDVI作为判别阈值,得到研究区最终的含水率反演模型。进一步分析了研究区土壤含水率与地形及气候因素的相关性,并初步探讨了利用遥感反演土壤含水率分布结果在研究区旱情监测当中的应·用情况。
[Abstract]:Soil water is divided into land vegetation and direct water supply of crops, which plays a decisive role in the production capacity of land. Because the soil moisture is between the interface of soil and the interface of atmosphere, the interaction between the two is controlled and affected directly. The monitoring of soil moisture is of great significance in the fields of agriculture, meteorology, ecology, hydrology and so on. With the maturation and development of remote sensing technology, it is possible to monitor soil moisture status in large-scale dynamic real-time, which overcomes to a great extent the shortcomings of traditional soil water content monitoring methods and has practical and high efficiency. The advantage of simplicity and flexibility. One of the most ecologically fragile areas in the Lightning River Basin belongs to the grassland desert region with a fragile ecological environment and the scarcity of water resources is the main bottleneck restricting the stability and restoration of ecological vegetation in arid grassland. Therefore, to understand and master the spatial distribution of soil surface water in the study area, a mathematical model of soil surface water under different vegetation coverage was established. It has important practical significance and great value to the local ecology and the improvement of scientific development. This paper mainly studies the remote sensing inversion of soil moisture content in the upper reaches of Luanhe River by using landsat8 tips remote sensing data. The remote sensing inversion of soil moisture content is assumed to be two ideal states under the condition of bare soil and high vegetation coverage at present. The main methods of remote sensing inversion of soil moisture in bare soil are spectral method and so on. The temperature vegetation index TVDI method is suitable for the case of high vegetation coverage. In view of the different characteristics of spectral method and TVDI method, the lightning river basin is taken as an example to obtain better inversion accuracy. The final water content inversion model of the watershed is established by combining the spectral method and TVDI method. The equation of retrieving soil moisture by spectral method was established by using 23 samples with low vegetation coverage. The accuracy of the spectral method was verified by using the remaining 15 samples. The results showed that the precision of the spectral method was over 80%. The inversion equation of soil moisture content using TVDI method was established by using high vegetation coverage sample points, and the correlation analysis was carried out with the measured soil moisture content. The final model of soil moisture inversion in the study area was obtained by using NDVI as the discriminant threshold. The correlation of soil moisture content with topographic and climatic factors in the study area was further analyzed, and the application of soil moisture distribution inversion by remote sensing in drought monitoring in the study area was preliminarily discussed.
【学位授予单位】：内蒙古农业大学
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：S152.7;S127

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