What question did this study set out to answer?

The aim is to estimate forest height using a globally assembled dataset that includes Sentinel-1 and LiDAR measurements.

Global Coverage of Sentinel-1 and Spaceborne LiDAR: A Data-Driven Foundation for Forest Height Estimation

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Randomized trial combines Sentinel-1 and LiDAR data for forest height measurement, suggesting effective methods for analysis.

The aim is to estimate forest height using a globally assembled dataset that includes Sentinel-1 and LiDAR measurements.
Combined data from more than 1800 Sentinel-1 interferometric image pairs and LiDAR observations.
Processed Sentinel-1 data to derive interferometric coherence and polarimetric–interferometric observables.
Conducted statistical analysis across tropical, temperate, and boreal forest regions.
Sentinel-1 coherence shows a measurable relationship with canopy height across varied forest biomes.
Despite temporal decorrelation effects, measurements retain sensitivity to vegetation structure.
Provides a conceptual basis for future forest height mapping with new low-frequency SAR missions.

Aghababaei et al. (2026) studied this question.

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