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Biospheric Sciences
Operational

Goddard's LiDAR, Hyperspectral & Thermal Imager (G-LiHT)

G-LiHT enables data fusion studies by providing coincident data in time and space, and provides fine-scale (<1 m) observations over large areas that are needed in many ecosystem studies.

Launch Date
2011
Class
Instrument
Website
Key Staff

G-LiHT enables data fusion studies by providing coincident data in time and space, and provides fine-scale (<1 m) observations over large areas that are needed in many ecosystem studies.

Related Publications

2026. "Tree growth after a major hurricane reflects predisturbance vigor rather than canopy damage.", Proceedings of the National Academy of Sciences, 123 (16): e2532451123 [10.1073/pnas.2532451123] [Journal Article/Letter]

2026. "Taller Trees Experienced Less Crown Damage During a Severe Hurricane in a Tropical Forest.", Global Change Biology, 32 (1): e70709 [10.1111/gcb.70709] [Journal Article/Letter]

2025. "The influence of forest structural and optical heterogeneity on top of canopy reflectance: A 3D radiative transfer modeling case study based on NEON airborne lidar and imaging spectroscopy.", SSRN, [10.2139/ssrn.5968195] [Journal Article/Letter]

2024. "Model-assisted estimation of domain totals, areas, and densities in two-stage sample survey designs.", Canadian Journal of Forest Research, 54 (12): 1425-1442 [10.1139/cjfr-2024-0039] [Journal Article/Letter]

2023. "20th‐Century hurricanes leave long‐lasting legacies on tropical forest height and the abundance of a dominant wind‐resistant palm.", Ecology and Evolution, 13 (11): [10.1002/ece3.10776] [Journal Article/Letter]