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所在平台: Udemy |
课程主页: https://www.udemy.com/course/introduction-to-remote-sensing-1/
课程评论：没有评论
课程名称：遥感与地理空间分析基础 课程概述：掌握遥感和地理空间分析的基本原理！如果您发现其他遥感课程过于简短和模糊，无法应对现实问题，或者希望找到一门深入的课程并学习遥感的所有基础知识，那么本课程将为您提供扎实的基础，以便进行实用的遥感空间数据分析，并为应对各种地质和环境问题提供技术和知识。本课程介绍了遥感的基本概念——通过空中和太空传感器远程获取地球信息。丰富的地球观测数据使我们能够解决许多紧迫的环境、地理和地质问题。该课程将为学生提供使用遥感数据的基础知识，使其对遥感的物理原理有深入的理解，包括电磁辐射概念，并详细探讨电磁辐射与大气、水、植被、矿物和其他土地类型的相互作用。我们将讨论遥感在农业、地质、矿业、水文学、林业、环境等多个行业的应用。 学生还将学习当前用于遥感分析的卫星传感器平台，包括被动传感器、合成孔径雷达和激光雷达。此外，学生将学习遥感科学与应用中的基本概念、术语和理论，并掌握图像预处理的准确步骤，包括辐射和大气校正技术。最后，我们将探讨如何解释不同材料的光谱特性，并学习如何为未来的项目创建自己的基本遥感图像使用方程。今天就报名参加我的课程吧！我希望您在此课程中的体验取得成功，更重要的是，为您在现实世界中使用遥感提供所需的知识。
MASTER THE FUNDAMENTAL PRINCIPLES OF REMOTE SENSING AND GEOSPATIAL ANALYSIS!Do you find that other remote sensing courses are too short and vague, and do not prepare you for real world problems? Are you looking for a course that goes IN-DEPTH and teaches you all the fundamentals of remote sensing? My course provides a solid foundation to carry out practical, real life remote sensing spatial data analysis and gives you the techniques and knowledge to tackle a variety of geological and environmental problems. This course provides an introduction to remote sensing - the acquisition of information about the earth from a distance, typically via airborne and spaceborne sensors. The abundance of earth observation data allows us to address many pressing environmental, geographical, and geological issues. This course will prepare the students for the basics of using remote sensing data. Students will have a solid understanding of the physical principles of remote sensing, including electromagnetic (EM) radiation concepts, and will also explore in detail the interaction of EM radiation with the atmosphere, water, vegetation, minerals, and other land types from a remote sensing perspective. We will go over various industries where remote sensing can be used including agriculture, geology, mining, hydrology, forestry, environmental, and many more!The students will also learn about current satellite sensor platforms for remote sensing analysis including passive senors, synthetic aperture radar, and LiDAR. In addition to learning the basic concepts, terminology, and theories in remote sensing science and application, they will also learn the accurate steps for pre-processing images including radiometric and atmospheric correction techniques.Lastly, we will look at how to interpret spectral characteristics from different materials and how to create their own basic equation for using remote sensing images on their own projects in the future. Enroll in my course today! I want your experience with this course to be a success but more importantly prepare and give you the knowledge for using remote sensing in the real world.
