Multispectral Remote Sensing

About this course

Analyse multispectral observations through reflectance processing, masks, spectral indices, unmixing and time-series monitoring.

This practitioner course is part of the Earth Observation & Remote Sensing school. Work through the curriculum below in a self-paced / instructor-led format, with an estimated study time of 16 h.

Course curriculum

• Module 1 — Multispectral Data in Depth
• Module 2 — From Top-of-Atmosphere to Surface Reflectance in Practice
• Module 3 — Masks and Composites
• Module 4 — Choosing and Testing Spectral Indices
• Module 5 — Spectral Unmixing
• Module 6 — Parcel Time Series and Phenology
• Module 7 — Combining Sensors: Harmonisation
• Module 8 — From Signals to a Monitoring Product

Applied learning

• Case Study — The Scheme Check Goes Live
• Lab 1 — A cloud-free seasonal composite
• Lab 2 — A crop and grassland calendar from parcel time series
• Lab 3 — A validated activity-check product from two sensors
• Capstone — A Multispectral Monitoring Product

Who this course is for

GIS / Remote Sensing Professional; Researcher; Government Professional

Prerequisites

NE-RS-101

Course details

• Course code: NE-RS-202
• Level: Practitioner
• Estimated duration: 16 h
• Delivery: Self-Paced / Instructor-Led