MSS 2026 · Module 3 · Lecture

Remote Sensing, Hyperspectral Analysis
& Professional Development

Two presentations covering the fundamentals of the remote sensing full stack, hyperspectral classification and data harmonization, and the career skills that translate expertise into opportunity — with the latest trends in AI-driven Earth Observation and the modern job market.

📅 March 11, 2026
👤 Dr. Moulay Anwar Sounny-Slitine
🎓 2 × 50 min + lab

Slide Decks

Browser-based slides — arrow keys to navigate, F11 or the fullscreen button for presentation mode. Each slide has a short recorded explainer video on the right.

Topic 1 · Earth Observation

Remote Sensing & Hyperspectral Analysis

The 7-stage signal chain from photon to decision, digital numbers vs. display bit depth, spectral vs. spatial resolution, segmentation, and the AI/harmonization trends reshaping EO.

📊 14 slides ⏱ ~45 min 🧠 Quiz included
Launch Presentation →
Topic 2 · Career

Professional Development & the Job Market

HR keyword filters, resume visual hierarchy, the "Web of Links", Google Search Console for personal indexing, the Coffee Test, and how AI-assisted hiring is changing the playbook.

📊 12 slides ⏱ ~35 min 🧠 Quiz included
Launch Presentation →

Learning Outcomes

By the end of the session you will be able to:

OUTCOME 01
Explain the seven-stage remote sensing full stack from photon physics to cognitive perception.
OUTCOME 02
Distinguish sensor bit depth from display bit depth and justify why this matters for subtle-feature detection.
OUTCOME 03
Compare multispectral and hyperspectral sensing and identify when object-based (segment) classification beats pixel-based.
OUTCOME 04
Describe how commercial EO providers harmonize data to fill temporal and spectral gaps in public missions.
OUTCOME 05
Tailor a resume past an HR keyword filter and build a coherent "Web of Links" personal web presence.
OUTCOME 06
Articulate how AI copilots are changing hiring — from resume screening to technical interviews.

Suggested Readings

Background papers and resources. Skim before class; return to them for the quiz and final exam.

eBook · Primary
Remote Sensing with Google Earth Engine
Sounny-Slitine · open access textbook
 Review Paper
Hyperspectral Imaging: A Review on UAV-Based Sensors, Data Processing and Applications
Adão et al. · Remote Sensing, 2017 (foundational review)
 Review Paper
Deep learning in remote sensing applications: A meta-analysis and review
Ma et al. · ISPRS Journal, 2019
 Harmonization
HLS: The Harmonized Landsat and Sentinel-2 surface reflectance data set
Claverie et al. · Remote Sensing of Environment, 2018
 Trend · AI Foundation Models
A foundation model for generalizable disease detection from retinal images
Example of the foundation-model paradigm also applied to EO (Prithvi, SatMAE)
 Career · Practice
Your Approach to Hiring Is All Wrong
Peter Cappelli · Harvard Business Review, 2019
 Career · Bias research
Are Emily and Greg More Employable Than Lakisha and Jamal?
Bertrand & Mullainathan · NBER WP, 2003 (why US resumes omit photos)
 Tool · Career
Google Search Console
Index your personal site so recruiters find you

🧠 Knowledge Check

Each slide deck ends with practice questions. Attempt them without looking back at the slides — use the feedback to identify gaps.

Topic 1 Quiz Topic 2 Quiz