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

Yu, Yanghai; Lei, Yang; Siqueira, Paul; Liu, Xiaotong; Gu, Denuo; Fu, Anmin; Pang, Yong; Huang, Wenli; Shi, Jiancheng

doi:https://doi.org/10.5194/essd-17-4397-2025

Articles | Volume 17, issue 9

https://doi.org/10.5194/essd-17-4397-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/essd-17-4397-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 17, issue 9

Data description paper

|

08 Sep 2025

Data description paper |

| 08 Sep 2025

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

Yanghai Yu, Yang Lei, Paul Siqueira, Xiaotong Liu, Denuo Gu, Anmin Fu, Yong Pang, Wenli Huang, and Jiancheng Shi

Data sets

Large-scale Forest Stand Height mapping for the northeast of U.S. and China using L-band spaceborne repeat-pass InSAR and GEDI Yanghai Yu and Yang Lei https://doi.org/10.5281/zenodo.11640299

ASF Data Search Vertex Alaska Satellite Facility https://search.asf.alaska.edu/\#/?dataset=_ALOS

GRANIT LiDAR data University of New Hampshire https://lidar.unh.edu/map/

Model code and software

FSHv2 Yanghai Yu and Yang Lei https://github.com/Yanghai717/FSHv2

FSH leiyangleon https://github.com/leiyangleon/FSH

Interferometric synthetic aperture radar Scientific Computing Environment Jet Propulsion Laboratory https://github.com/isce-framework/isce2

Yanghai717/FSHv2: v1.0.0 Y. Lei and Y. Yu https://doi.org/10.5281/zenodo.16547783

FSH leiyangleon https://github.com/leiyangleon/FSH

FSHv2 Yanghai717 https://github.com/Yanghai717/FSHv2

Short summary

This study proposes a global-to-local approach for estimating forest height by fusing repeat-pass synthetic aperture radar interferometry and Global Ecosystem Dynamics Investigation (GEDI) data. Using Advanced Land Observing Satellite (ALOS-1) data and a twofold strategy to address temporal gaps, the method produced 30 m gridded forest height mosaics for the northeastern United States and China, demonstrating promising accuracies and offering potential for fusing data from future missions.