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Sciences and Exploration Directorate
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

--

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

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]

2017. "Using high spatial resolution satellite imagery to map forest burn severity across spatial scales in a Pine Barrens ecosystem.", Remote Sensing of Environment, 191 95-109 [10.1016/j.rse.2017.01.016] [Journal Article/Letter]

2018. "Mapping canopy defoliation by herbivorous insects at the individual tree level using bi-temporal airborne imaging spectroscopy and LiDAR measurements.", Remote Sensing of Environment, 215 170-183 [10.1016/j.rse.2018.06.008] [Journal Article/Letter]

2018. "Measuring short-term post-fire forest recovery across a burn severity gradient in a mixed pine-oak forest using multi-sensor remote sensing techniques.", Remote Sensing of Environment, 210 282-296 [10.1016/j.rse.2018.03.019] [Journal Article/Letter]