Forest Change Detection — LandTrendr
Time-series analysis of satellite imagery (Landsat / Sentinel-2 / HLS) for forest disturbance detection. Methodology: Kennedy et al. 2010, 2018.
Analysis parameters
Area of interest (AOI)
Draw a polygon or rectangle on the map. Maximum area: 500,000 ha.
Zoom to level ≥9 to start drawing
ZIP with shapefile, .kml or .kmz
Select file…
Satellite system and index
HLS recommended for the most complete coverage (from 2013)
NBR is most sensitive to forest disturbances
Time range
Advanced parameters
Pixels below the threshold are excluded (Hansen GFW 2000)
Higher value → fewer false detections, lower sensitivity
Running LandTrendr analysis on GEE…
Typically 30–120 s depending on area and time range
Download ZIP report
AOI:
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Analysis results
Detailed statistics by year
| Year | Area (ha) | 95% CI (ha) | Pixel count | Confidence (%) |
|---|
Note: the confidence interval is estimated as a function of mean LandTrendr confidence. A higher CI corresponds to lower segmentation confidence.