【作者】 陈东河；

【导师】 张成才；

【作者基本信息】 郑州大学 ， 水利信息技术， 2013， 硕士

【摘要】 土壤墒情,是水文学、气象学以及农业科学研究领域中的一个重要指标参数,对气候、农业、旱情监测都具有极为重要的意义。遥感技术在土壤墒情监测中的应用,使得土壤墒情的快速、大范围获取成为了可能,克服了传统墒情监测方法的不足。本文从采用多源遥感影像数据优势互补出发,对应用较为广泛的MODIS与Landsat TM数据用于土壤墒情监测进行了研究,提出了基于MODIS与TM影像同时采用表观热惯量法和植被供水指数法对土壤墒情监测的方法,实现减少地面实测资料的依赖,增大墒情监测结果的空间尺度,提高不同植被覆盖度下地表土壤墒情监测结果的精度。主要研究内容如下：(1)在收集整理国内外主要土壤墒情遥感反演相关资料的基础上,选取具有代表性的适用于裸土/低植被覆盖区域的表观热惯量法和适用于高植被覆盖区域的植被供水指数法,研究了基于MODIS数据分别应用两种方法的土壤墒情反演、基于Landsat TM数据的植被供水指数法土壤墒情反演。(2)分析了MODIS与TM数据结合实现优势互补用于土壤墒情监测的可能性,以植被阈值作为不同植被覆盖度地表的划分依据,研究了采用两种数据同时应用表观热惯量法和植被供水指数法对土壤墒情监测的实现方法。(3)以VS2005为开发环境,采用面向对象的C#语言,在ArcGIS与ENVI/IDL二次平台的基础上,选取河南省白沙灌区为实验区域,建立了白沙灌区土壤墒情遥感监测系统,分别实现了采用MODIS数据应用表观热惯量法和植被供水指数法监测土壤墒情,采用TM数据应用植被供水指数法监测土壤墒情,采用MODIS数据结合TM数据进行墒情监测,并能输出遥感反演过程的中间参数,对墒情监测结果进行专题图输出。(4)对提出的MODIS数据结合TM数据监测墒情方法得到的墒情结果与单独采用其中一种影像数据和模型得到的结果进行了对比分析,结果表明两种数据的结合能够有效提高土壤-植被混合地表土壤墒情的监测精度。更多还原

【Abstract】 Soil moisture is the water condition of soil, it is an important indicator parameter of hydrology, meteorology and the agricultural science, the research about Soil moisture has extremely vital significance for the climate agricultural,and drought monitoring. With the development of remote sensing technology, it comes true that getting the soil moisture quickly and widely, the shortcomings of traditional methods in monitoring soil moisture is overcame.In this paper, the methods of soil moisture monitoring based on MODIS and Landsat TM data which has been widely applied was researched, under the goal of complementary advantages with multi-source remote sensing image data, the method of applying both Apparent thermal inertia and Vegetation supply water index in soil moisture monitoring based on MODIS and TM data was put forward. The results show that the dependence of ground measured data was reduced, the spatial scales of soil moisture could be increased, the accuracy of soil moisture under different vegetation coverage surface was improved. The main research work and results are as follows:(1)On the basis of collecting remote sensing inversion data, the Apparent thermal inertia method which is suitable for soil/low vegetation coverage area and the Vegetation supply water Index method that is suitable for high vegetation coverage area was selected, the research about monitoring soil moisture based on Apparent thermal inertia with MODIS data, based on Vegetation supply water Index with MODIS data,and based on Vegetation supply water Index with TM data were make.(2) The feasibility to achieve complementary advantages for monitoring soil moisture with MODIS and TM data was analyzed, using Normalized Difference Vegetation Index (NDVI) to distinguish between land cover types, the research on the application of monitoring soil moisture applying both the Apparent thermal inertia and Vegetation supply water Index was made.(3)Taking Baisha Irrigation of Henan province as experimental area, established the soil moisture monitoring system in the VS2005development environment, using the object-oriented C#language based on ArcGIS and ENVI/IDL secondary platform.The system can realized that monitoring soil moisture applied Apparent thermal inertia and Vegetation supply water Index with MODIS image data, monitoring soil moisture applied Vegetation supply water Index with TM data, monitoring soil moisture applied both MODIS and TM data, and the system can output the intermediate parameters in remote sensing inversion process,output the thematic map of soil moisture monitoring results.(4) The results from the method applied MODIS and TM with the results from single image and model was compared, the results show that the method applying multi-source remote sensing can get a high accuracy in soil-vegetation mixed terrain.更多还原