土地覆被遥感监测野外样点信息采集与分析

发布时间：2018-01-02 01:20

本文关键词：土地覆被遥感监测野外样点信息采集与分析　出处：《西南交通大学》2015年硕士论文　论文类型：学位论文

更多相关文章： 土地覆被 野外调查 Voronoi Android

【摘要】：野外地表覆被样点数据是遥感影像分类与土地覆被制图中训练样本和精度验证样本的重要来源,其数据质量直接决定土地覆被遥感产品的质量。获取具有代表性的土地覆被野外样点信息能够为土地覆被遥感监测提供科学的参考数据。移动采样集GPS技术、GIS技术和海量存储技术以及无线网络技术一体化,因其高效、简便地获取丰富而海量的样点信息受到许多研究学者的关注。本文详细地研究了不接触定位的原理与方法,在土地覆被移动采样理论基础上,引入了电子罗盘定向技术和激光测距技术,研发了土地覆被野外采样系统(简称LUCC采样系统),并将其应用到土地覆被实地调查中。同时,基于统计方法和空间分析方法,结合样区DEM、坡度等地形因子以及历史土地覆被数据,评价土地覆被野外样点的代表性。通过土地覆被野外调查和数据分析,本文取得了以下几个研究结论：(1)在普遍的移动采样方式基础上,结合GPS定位、电子罗盘定向技术和激光测距技术,以移动电子设备为媒介,应用交会测量和导线测量的原理实现可见远距离目标的定位。结果表明,在200米范围内,运用LUCC采样系统能够不接触目标地物获取它的空间坐标,且精度在30m以内。即在运用中低分辨率遥感影像进行遥感监测时,运用本文研发的野外采样系统获取土地覆被样点的坐标误差在一个像元以内,满足土地覆被野外采样需求。(2)在土地覆被实地调查过程中,以高分遥感影像和历史土地覆被现状图为基础底图,土地覆被理论知识为基础,运用LUCC采样系统采集并纠正土地覆被样点。结果表明,LUCC采样系统能够高效、准确地获取土地覆被野外样点信息,包括空间信息、属性信息与图像信息。(3)基于Delaunay三角网和Voronoi图,计算Delaunay三角网的聚集指数与Voronoi图多边形面积的变异指数,评价土地覆被野外样点数据的空间代表性。结果表明：运用LUCC采样系统获取的土地覆被样点数据集具有空间代表性。(4)本文以DEM、坡度以及历史土地覆被现状图等辅助数据建立地形因子与土地覆被之间的相关知识。将历史土地覆被面积和专业知识以文本文件或数据库的形式存放在移动设备中,指导野外采样。同时,根据专业知识,运用遥感监测软件和相关系数指标定性评价土地覆被野外样点的代表性。
[Abstract]:The wild land cover sample data of remote sensing image classification and land cover is an important source of training samples and to verify the accuracy of sample drawing, the data quality directly determines the quality of the land cover remote sensing products. To obtain representative of the land cover information of field sampling points for land cover to provide scientific reference data for remote sensing monitoring mobile sampling set GPS technology, GIS technology and mass storage technology and wireless network technology integration, because of its high efficiency, easy to get rich and sample information by many scholars. This paper studies the principle and method of non-contact positioning, in the land cover mobile sampling theory the introduction of the electronic compass, and laser ranging technology, research and development of the land cover field sampling system (LUCC sampling system), and its application to the land cover on-the-spot investigation. At the same time, statistics method and spatial analysis method based on the combination of area DEM, slope and historical land cover data, assessment of land cover representative field sampling points. Through field investigation and analysis of land cover data, this paper obtained the following conclusions: (1) sampling in universal mobile mode on the basis, combined with GPS positioning, electronic compass and laser ranging technology, mobile electronic equipment for the media, to realize positioning visible distance of the target intersection measurement principle and application of wire measurement. The results show that in the range of 200 meters, the sampling system using LUCC can not touch the object space coordinates it gets, and the accuracy of within 30m. The remote sensing monitoring in the use of low resolution remote sensing images, this paper uses research field sampling system to obtain land cover coordinate error of sample points within a pixel Meet the land cover, field sampling requirements. (2) in the land cover investigation process, using high-resolution remote sensing images and historical land cover map as the base map, land cover theory, LUCC system was used to collect and correct the land cover sample. The results show that the LUCC sampling system can efficient and accurate access to land cover field information, including spatial information, attribute information and image information. (3) Delaunay triangulation and Voronoi diagram based on variation index calculation Delaunay triangulation aggregation index and Voronoi map polygon area, assessment of land cover spatial representative field sampling data. The results show that the LUCC system was used to obtain the land cover sample data set with spatial representation. (4) based on the DEM, slope and historical land cover established by topography and land cover map of auxiliary data Related knowledge. The history of land cover area and professional knowledge in a text file or database stored in the mobile device, guide field sampling. At the same time, according to the professional knowledge, the use of remote sensing monitoring software and the correlation coefficient index for qualitative assessment of land cover representative field sampling points.

【学位授予单位】：西南交通大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：P237

【参考文献】