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GEDI mission data geolocation improved using super-resolved terrain models

By PulseAugur Editorial · [1 sources] ·

Researchers have developed a method to improve the geolocation accuracy of data from the Global Ecosystem Dynamics Investigation (GEDI) mission, which uses a LiDAR instrument on the International Space Station. By super-resolving existing lower-resolution digital terrain models (DTMs) and fusing them with global DTMs, they can achieve corrections that closely match those derived from high-resolution airborne LiDAR DTMs at a track-wise level. However, per-observation corrections still show significant errors, likely due to inaccuracies in the input DTMs. AI

IMPACT Improves accuracy of satellite-based forest structure measurements, potentially aiding climate and ecological research.

RANK_REASON Academic paper on improving remote sensing data geolocation. [lever_c_demoted from research: ic=1 ai=0.4]

Read on arXiv cs.CV →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

GEDI mission data geolocation improved using super-resolved terrain models

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Academic paper on improving remote sensing data geolocation. [lever_c_demoted from research: ic=1 ai=0.4]
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COVERAGE [1]

  1. arXiv cs.CV TIER_1 English(EN) · Natsuki Yuda, Shinichiro Shirota ·

    Super-resolved digital terrain models for GEDI geolocation correction: agreement with airborne LiDAR DTM-based corrections at the beam level, not the footprint level

    arXiv:2611.09854v1 Announce Type: cross Abstract: The Global Ecosystem Dynamics Investigation (GEDI) mission measures three-dimensional forest structure with a LiDAR aboard the International Space Station. GEDI observations have geolocation errors of about 10 m, which cause misal…

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