1.牢固掌握:掌握地理信息系统的基本概念和空间数据的采集、处理与组织方法;熟练使用常用地理信息系统软件;掌握
地理信息系统空间分析原理与应用方法;掌握遥感物理基础、遥感成像机理和影像解译原理;掌握遥感图像专题信息提取
方法和遥感应用技术。具备综合应用地理信息系统技术和遥感技术从事资源、环境与地理分析的方法与技能;
2.一般掌握:掌握地统计学原理与应用;掌握航空照片、多光谱遥感图像、热红外遥感图像、雷达图像和高光谱遥感图像
等不同类型遥感图像解译方法,以及运用遥感图像进行环境科学研究方法与技能;
3.一般了解:了解地理信息系统的二次开发方法。了解遥感技术进展和遥感图象计算机智能解译与定量遥感等先进技术在
资源调查、环境监测与灾害评估等领域中的应用。
This course is designed for Hydrology, Environmental Engineering, and Geoscience students who seek to broaden their
understanding of Geographic Information System (GIS) and Remote Sensing (RS) technologies. This course makes
students familiar with the theory and application of GIS and RS technologies and trains students fluently using common
GIS and RS software. The GIS part of this course focuses on vector and raster data models, their relationship with
databases, creating high-quality maps, spatial complex analysis, geodatabase, programming with Python, geo-
processing tools and advanced multi-criteria analysis. The RS part of this course presents the technical and
methodological skills needed to interpret various types of aerial images as a source of information in a variety of
applications, including geography, forestry, urban planning, crop and soil science, among many others. Exercises will
utilize an extensive set of digital aerial images displaying a wide variety of environments (urban, rural, residential,
agricultural) where students can practice the interpretation skills lectured in the course and apply them to decision-
making across a variety of disciplines.
通过本课程的学习,学生系统掌握地理信息系统与遥感技术的理论框架,熟练使用 GIS 软件进行空间数据的构建、处理、
分析与可视化,掌握常用的空间分析方法,理解电磁波谱与地物波谱特征理论,掌握遥感成像和影像增强原理,熟练应用
遥感图像分类技术,具备综合应用 GIS 和 RS 进行水文与环境科学问题建模的能力。
After the course, students will be familiar with the basic theory of Geographic Information System (GIS) and Remote
Sensing (RS). Students are able to using GIS software to create, process, analyze and visualize geospatial data, and to
perform geospatial analysis with geo-processing tools. Students fully understand the fundamental theory of
electromagnetic and earth object spectrum, and have the ability of performing imagery classification and object
extraction with RS software. Finally, students are able to resolve modeling problems associated with hydrology and
environmental problems by integrated using of GIS and RS techniques.