Module 3: Hyperspectral Data Acquisition and Preprocessing

by NSTC NSTC

July 4, 2026

About Module 3: Hyperspectral Data Acquisition and Preprocessing

Module Content

Module 3: Hyperspectral Data Acquisition and Preprocessing

9 Lessons

Chapter 3.1: Data Acquisition Methods

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Lesson 1:  Lesson 3.1.1: Laboratory and greenhouse hyperspectral imaging

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Lesson 2:  Lesson 3.1.2: Field-level and UAV-based data acquisition

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Lesson 3:  Lesson 3.1.3: Sensor selection and acquisition challenges

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Chapter 3.2: Preprocessing Techniques

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Lesson 1:  Lesson 3.2.1: Noise removal and spectral smoothing

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Lesson 2:  Lesson 3.2.2: Normalization and standardization of spectral data

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Lesson 3:  Lesson 3.2.3: Handling missing values and noisy bands

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Chapter 3.3: Exploratory Hyperspectral Analysis

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Lesson 1:  Lesson 3.3.1: Visualizing spectral signatures

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Lesson 2:  Lesson 3.3.2: Comparing healthy and diseased samples

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Lesson 3:  Lesson 3.3.3: PCA-based hyperspectral data exploration

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