测绘通报 ›› 2021, Vol. 0 ›› Issue (1): 148-151.doi: 10.13474/j.cnki.11-2246.2021.0028

• 测绘地理信息教学 • 上一篇    下一篇

大类培养模式下遥感概论课程的教学内容设计

沈焕锋1, 李慧芳1, 曾超1, 李全1, 黄文丽1, 武辰2, 张洪艳2   

  1. 1. 武汉大学资源与环境科学学院, 湖北 武汉 430072;
    2. 武汉大学测绘遥感信息工程国家重点实验室, 湖北 武汉 430079
  • 收稿日期:2020-07-31 发布日期:2021-02-08
  • 通讯作者: 李慧芳。E-mail:huifangli@whu.edu.cn
  • 作者简介:沈焕锋(1980-),男,博士,教授,主要研究方向为遥感数据处理与资源环境应用等方面。E-mail:shenhf@whu.edu.cn

Design of teaching contents for introduction to remote sensing under large category cultivation mode

SHEN Huanfeng1, LI Huifang1, ZENG Chao1, LI Quan1, HUANG Wenli1, WU Chen2, ZHANG Hongyang2   

  1. 1. School of Resource and Environmental Sciences, Wuhan University, Wuhan 430072, China;
    2. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan 430079, China
  • Received:2020-07-31 Published:2021-02-08

摘要: 大类培养已成为我国高校人才培养模式改革的重要方向,遥感概论课程作为武汉大学“资源与环境”大类的六大平台课之一,迫切需要综合考虑各专业的具体情况,建立全面完善的教学内容。本文调研了国内多个遥感基础类课程教学内容,从内容、体系、逻辑和实践4个方面出发,提出了对遥感概论课程教学内容进行重新设计的原则,在此基础上,贯穿遥感数据获取—处理—应用的全链路,并建立了全面完善的教学内容设计方案。

关键词: 大类培养, 遥感概论, 教学内容, 设计方案

Abstract: The large category cultivation is becoming an important trend for the talent cultivation reform in Chinese universities. As one of the six main curriculums in the large category of resources and environments in Wuhan university, it is urgently necessary to construct thorough teaching contents of introduction to remote sensing by considering the specific characteristics of different disciplines comprehensively. In this paper, the teaching contents of the remote sensing courses adopted in various universities in China are investigated,and their characteristics are analyzed. By integrating the content, the structure, the logic and the practice, it proposes four principles for the design of the teaching contents of introduction to remote sensing. Based on that, the comprehensive teaching contents are constructed, through stringing the data acquiring-processing-application link together.

Key words: large category cultivation, introduction to remote sensing, teaching contents, designing scheme

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