Remote Sensing: Principles and Applications

Overview

Remote sensing (RS) is the technology that helps to gather information about objects and phenomena from a distance. There has been a radical transformation in the technology from the early application of ‘image interpretation’ to the paradigm of quantitative RS. The advancement in sensors and data processing algorithms have led to multiple applications of RS in various domains. To perform quantitative RS, one must understand the basic nature of RS sensors, the interaction between electromagnetic radiation and earth surface features and the assumptions and limitations of the algorithms applied. This course will enable the participants to learn about the necessary physical concepts involved in different phases of RS which will help in better appreciation of algorithms and existing datasets. The concepts will further be strengthened through explanation of selected applications.INTENDED AUDIENCE :Civil Engineering, Earth Science, Agriculture, GeoinformaticsPREREQUISITES : None

Syllabus

Week 1: Introduction, electromagnetic radiation, basic lawsWeek 2: Radiometry, Interaction of EMR with terrain featuresWeek 3: RS in visible and IR domain: Radiance to reflectance, atmospheric and topographic correctionWeek 4: RS image acquisition, Different types of sensors, resolution conceptsWeek 5: Resolution concepts, Spectral reflectance curvesWeek 6: Spectral reflectance curves, Spectral indicesWeek 7: Thermal infrared remote sensingWeek 8: Passive microwave radiometryWeek 9:Active microwave remote sensing: Imaging radarWeek 10: Platforms used for RS data acquisition and characteristicsWeek 11: LIDAR, Common remote sensing datasets and data portalsWeek 12: Applications of RS for land use and land cover monitoring, water resources management