Course overview
This course will provide education in the area of remote sensing technology and its application in the environmental sciences. This applied science course introduces students to the science, art and uses of remotely sensed data with a focus on Passive Multispectral Satellite Remote Sensing. Topics covered include: Sensors used in remote sensing. Atmospheric transmission. Factors affecting spectral reflectance and emittance of objects on the earth's surface. Field measurements of reflectance. Image radiometric calibration. Image geometric calibration. Spectral signatures. Digital image display. Processing and Analysis of multispectral images. Simple filtering techniques. Spectral Indices, Unsupervised and supervised classification. Ground truth collection. Accuracy assessment. Change detection. Terrain analysis. Applications of remote sensing to environmental problems.
Course learning outcomes
- articulate the difference between different types of remotely sensed data
- select appropriate remote sensing sensors and data for various projects
- perform image processing tasks for visual interpretation and spatial analysis
- undertake field verification in with remote sensing data
- demonstrate an understanding of and basic skills in image classification and assessment
- demonstrate awareness of the applications of remote sensing to various branches of policy and science
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