RS、GIS支持下北京市昌平区耕地分等与评价研究

发布时间：2018-03-10 09:41

本文选题：土地利用　切入点：耕地分等　出处：《中国矿业大学（北京）》2013年博士论文　论文类型：学位论文

【摘要】：以北京市昌平区为研究区，在RS、GIS技术支持下，以土壤学、土壤肥力学等知识为理论基础，对该区耕地进行分等研究，并将其结果应用于该区基本农田划分、高标准基本农田建设。以两个时相的Landsat TM遥感影像为数据源，充分利用DEM、2000年现状图等辅助数据，采用分层分类法、掩膜分析逐一将昌平区土地类型分为6类，，结果表明，分层分类法、掩膜分析并结合辅助数据，分类精度较高。通过遥感影像地表反射率与对应样点土壤有机质含量的相关性分析，建立土壤有机质定量反演模型，预测该区土壤有机质空间分布，并对该模型的精度进行验证。利用标准粮实地调查数据，建立耕地质量评价指标体系，在ArcGIS10.0平台下建立昌平区耕地质量评价数据库，对该区耕地进行分等，分等结果与标准粮样点调查数据回归结果表明，AIS-DEA分等结果可靠，符合实情。将分等结果用于划分该区基本农田，结合昌平区土地整治数据、2012年高标准基本农田建设任务，划分高标准基本农田建设类型，并有针对性地指出建设内容。
[Abstract]:Taking Changping District of Beijing as the research area, with the support of RSGIs and based on the knowledge of soil science and soil fertility, the paper studies the classification of cultivated land in this area, and applies the results to the division of basic farmland in this area. High standard basic farmland construction. Taking two Landsat TM remote sensing images of two phases as data source, making full use of the auxiliary data, such as demm, status map of 2000 and so on, the land types in Changping area are classified into 6 categories by using stratified classification method and mask analysis. The results show that the land types in Changping area are classified into 6 categories. The classification accuracy is high by stratified classification, mask analysis and auxiliary data. The quantitative inversion model of soil organic matter is established by analyzing the correlation between the surface reflectance of remote sensing image and the soil organic matter content of corresponding sample points. The spatial distribution of soil organic matter in this area was predicted and the precision of the model was verified. Based on the field investigation data of standard grain, the evaluation index system of cultivated land quality was established, and the evaluation database of cultivated land quality in Changping area was established under the platform of ArcGIS10.0. The classification of cultivated land in this area was carried out, and the result of regression analysis between the grading result and the standard grain sample data showed that the grade result of AIS-DEA was reliable and consistent with the actual situation, and the grading result was used to divide the basic farmland in this area. Combined with the land regulation data of Changping District, in 2012, the task of high standard basic farmland construction was divided into the types of high standard basic farmland construction, and the construction content was pointed out.
【学位授予单位】：中国矿业大学（北京）
【学位级别】：博士
【学位授予年份】：2013
【分类号】：S158;P208;P237

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