Core Concepts
Durable remote sensing fundamentals that should age slowly and avoid API-specific implementation.
Digital Imagery
Durable concepts for understanding digital imagery in remote sensing.
Spectral Bands
Durable concepts for understanding spectral bands and sensor measurements.
Visualization
Durable concepts for turning sensor measurements into an honest, readable image.
Resolution
Durable concepts for spatial, spectral, temporal, and radiometric resolution.
Raster vs Vector
Durable concepts for raster and vector data models.
Coordinate Systems
Durable concepts for coordinate reference systems, projections, and geospatial alignment.
Time Series
Durable concepts for multi-temporal remote sensing analysis.
Cloud Masking
Durable concepts for cloud, shadow, and atmospheric masking in optical imagery.
Classification Basics
Durable concepts for supervised and unsupervised image classification.
Change Detection
Durable concepts for detecting and reasoning about landscape change.
SAR Basics
Durable concepts for synthetic aperture radar imagery.
Thermal and Land Surface Temperature
Durable concepts for thermal-infrared imagery and retrieved land surface temperature.
Snow and Ice
Durable concepts for observing the cryosphere: why snow and ice are easy to find and hard to characterise, and where the optical view fails.
Optical Water Quality
Durable concepts for reading the colour of water: what pigment, sediment, and turbidity each do to the outgoing signal, and what else can imitate them.