1. Historical imagery
Google Earth's historical slider lets you step a location back through past imagery to see how it changed over time.
# Google Earth: historical imagery sliderTyporithm · medium
Step 1 of 8 · intro card
Geospatial (GEOINT)
GEOINT uses satellite and aerial imagery to observe a location across time. Google Earth's historical slider and free Sentinel/Landsat and NASA data let you compare dates, measure distances, and identify structures for verification, monitoring, and disaster response.
Geospatial intelligence (GEOINT) reads the world from above. Satellite and aerial imagery let an analyst observe a public location — a port, a flooded town, a stadium — without being there, which is central to media verification and disaster response.
Google Earth's historical imagery slider steps the same place back through past captures, so you can see when a building appeared or how a coastline shifted. Free sources like Sentinel Hub, Landsat, and NASA's open data add fresh, regularly updated coverage.
Against that imagery you compare dates, measure distances between landmarks, and identify structures. Those measurements turn a photo into evidence: confirming where something is, when it changed, and what is actually on the ground.
Google Earth's historical slider compares imagery across dates.
Sentinel Hub and NASA provide free satellite data.
Measure distances and identify structures to verify.
# Google Earth: historical imagery slider
# Sentinel Hub / NASA: free satellite data
# compare imagery across dates
# measure distances + identify structuresConnect each part of the code to the concept before you type.
Google Earth's historical slider lets you step a location back through past imagery to see how it changed over time.
# Google Earth: historical imagery sliderSentinel Hub and NASA publish free, openly licensed satellite data anyone can use for analysis and verification.
# Sentinel Hub / NASA: free satellite dataComparing the same spot across capture dates reveals construction, movement, and changes on the ground.
# compare imagery across datesMeasuring distances and identifying structures from imagery is the core of geospatial analysis.
# measure distances + identify structuresRead the concept map and follow the code breakdown.
Type the implementation, repair mistakes and work through every recall exercise.
Use the final check without hints; revisit weak concepts in short practice sessions.