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Highly Local Model Calibration with a New GEDI LiDAR Asset on Google Earth Engine Reduces Landsat Forest Height Signal Saturation
Sean P. Healey, Zhiqiang Yang, Noel Gorelick, Simon Ilyushchenko

Highly Local Model Calibration with a New GEDI LiDAR Asset on Google Earth Engine Reduces Landsat Forest Height Signal Saturation

Aerospace & Aviation Published 2026 Verification Pending
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Indexed from repository: NASA Technical Reports Server (ntrs.nasa.gov)

Document Information

Document Title Highly Local Model Calibration with a New GEDI LiDAR Asset on Google Earth Engine Reduces Landsat Forest Height Signal Saturation
Author / Organization Sean P. Healey, Zhiqiang Yang, Noel Gorelick, Simon Ilyushchenko
Subject & Discipline REPRINT
Categories Aerospace & Aviation
Publication Year 2026
License / Rights Public Domain / NASA STI Open Access
Resource Verification Listed PDF (Verification Pending)
Original Host Website NASA Technical Reports Server (ntrs.nasa.gov)
File Format application/pdf (Portable Document Format)
Language EN
Catalog ID DOC-13130
Original Source Link Visit Source Page on ntrs.nasa.gov »