基于光谱特征以及养分指示因子的土壤养分遥感监测研究

发布时间：2018-11-03 15:01

【摘要】：土壤状况是决定农田潜在生产力的主要因素,土壤性状及肥力状况信息可以为精准农田管理提供响应依据。遥感技术对土壤养分含量进行监测是一种快速、准确、高效、经济的方法。本文以农田土壤养分为研究对象,以HJ-1卫星遥感数据为数据源,采用土壤光谱特征方法和养分指示因子法,对土壤有机质、速效氮含量进行分析,构建土壤养分含量监测模型。利用光谱特征法实现了土壤有机质含量监测模型的构建；利用养分指示因子法实现了土壤有机质、速效氮含量监测模型的构建。并将两种方法进行对比分析,总结各自的优势。结果表明：利用HJ-1卫星数据可以对土壤有机质和速效氮含量进行监测。两种监测方法均有可靠精度,并且以HJ-1卫星数据为数据源避免了其它高光谱监测模型数据源过于昂贵的问题,易于在我国农业中应用。
[Abstract]:Soil condition is the main factor that determines the potential productivity of farmland, and the information of soil character and fertility condition can provide the response basis for the management of precision farmland. Remote sensing is a rapid, accurate, efficient and economical method to monitor soil nutrient content. In this paper, the contents of soil organic matter and available nitrogen were analyzed by using HJ-1 satellite remote sensing data as data source, soil spectral characteristic method and nutrient indicator factor method. The monitoring model of soil nutrient content was established. The monitoring model of soil organic matter content and the monitoring model of soil organic matter and available nitrogen content were constructed by means of spectral characteristic method and nutrient indicator factor method. The two methods are compared and analyzed, and their advantages are summarized. The results showed that the content of soil organic matter and available nitrogen could be monitored by HJ-1 satellite data. Both methods have reliable accuracy, and HJ-1 satellite data is used as data source to avoid the problem that other hyperspectral monitoring model data sources are too expensive, which is easy to be applied in agriculture in China.
【学位授予单位】：辽宁工程技术大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：S158;S127

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