Questions and Answers
What percentage of a student's assessment is based on Continuous Assessment?
What determines whether a target reflects secularly or diffusely?
What will happen if a student's mobile phone rings during class?
Which statement about passive sensors is true?
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Which of the following activities is explicitly prohibited in the classroom?
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Which characteristic of a surface would lead to predominantly diffuse reflection?
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What is a key advantage of active sensors in remote sensing?
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What is required of students at the end of the course regarding the lecturer?
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What does a grade of 'B' represent in terms of raw total score?
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How does the reflection of fine-grained sand vary with wavelength?
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Study Notes
Classroom Conduct and Assessment Policies
- Mobile phone disruptions in class result in a deduction of ½ mark per occurrence.
- Students are encouraged to ask questions but should not engage in personal conversations during lectures.
- Sleeping, eating, or reading newspapers in class is prohibited.
- Focus and active participation are expected; students should not complete assignments for other classes during lecture time.
- At the end of the course, students will assess the lecturer's performance through a questionnaire, emphasizing honesty in responses.
Student Assessment Overview
- Student evaluation consists of Continuous Assessment (40%) and End of Semester Examination (60%).
- Continuous Assessment includes quizzes, class attendance, and assignments.
- Average results will be shared at least one week before the semester examinations.
- End of Semester Examination grading includes a 10% weight for presentation aspects such as legibility, grammar, and adherence to instructions.
Grading Policies
- Grading scale:
- A: 80 – 100% (Excellent)
- B: 70 – 79.99% (Very Good)
- C: 60 – 69.99% (Good)
- D: 50 – 59.99% (Pass)
- F: Below 50% (Fail)
- I: Incomplete
Remote Sensing Introduction
Definition of Remote Sensing
- Remote sensing involves gathering information about the Earth's surface without direct contact.
- Focus on measuring radiation reflected from targets, distinguished between secular and diffuse reflection.
- Secular reflection occurs on smooth surfaces, while diffuse reflection occurs on rough surfaces; the type of reflection is influenced by surface roughness and incoming radiation wavelength.
Passive vs. Active Sensing
- Passive sensors measure naturally available energy from sources like the sun, effective during daylight.
- Active sensors emit their own energy to illuminate targets, allowing measurements at any time, regardless of daylight.
- Sensor capabilities can include the imaging of areas on ascending and descending passes.
Imaging Coverage and Cycle
- The area imaged by a satellite is referred to as the swath, typically covering tens to hundreds of kilometers.
- Satellite orbits around the Earth result in apparent westward movement due to the Earth’s rotation, enabling coverage of new areas.
- An orbit cycle is completed when a satellite revisits the same nadir point, which varies in duration for different satellites.
Resolutions in Remote Sensing
Spatial Resolution
- Refers to the smallest feature detectable in an image, influenced by the sensor's Instantaneous Field of View (IFOV).
- The number of brightness levels is determined by the bits used for data representation, affecting the image's radiometric resolution.
Temporal Resolution
- Temporal resolution indicates how often a satellite can revisit and image the same area.
- Factors affecting this include satellite capabilities and swath overlap, with higher frequency imaging near poles.
Image Processing Functions
Categories of Functions
- Pre-processing: Essential adjustments before data analysis, including radiometric corrections (sensor irregularities and atmospheric noise) and geometric corrections (distortions and real-world coordinates).
- Image Enhancement: Improves imagery visual quality for analysis, involving contrast stretching and spatial filtering.
- Image Transformation: Combines data from multiple spectral bands to uncover features, including spectral ratioing and principal components analysis (PCA).
- Image Classification and Analysis: Identifies and classifies data pixels, typically using statistical characteristics of brightness values from multi-channel datasets.
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Description
This quiz covers the essential rules and expectations for classroom behavior, including the consequences of mobile phone usage and guidelines for student participation. Students will also learn about the assessment procedures for their performance at the end of the course.
