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September 10, 2025Earth system science dataOpen Access

Large-scale forest stand height mapping in the northeastern US and China using L-band spaceborne repeat-pass InSAR and GEDI lidar data

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Forest height estimates improved by integrating InSAR and lidar data, achieving reduced RMSE from 4.4 m to 3.8 m.
Validation against GEDI and LVIS lidar data indicates accuracy of forest height estimates between 3.5 m and 5 m across diverse terrains.
The novel fusion technique effectively addresses the challenge of sparse spatial sampling while enhancing mapping accuracy.
This cost-effective solution provides large-scale wall-to-wall forest height maps, utilizing easily accessible remote sensing data.

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This approach integrates InSAR and lidar to improve forest height estimates, highlighting accuracy gains in mapping forest biomes.

Yu et al. (2025) studied this question.

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