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

G-LiHT is a portable, airborne imaging system that is able to map the composition, sturcture, and function of terrestrial ecosystems by means of three unique capabilities; LiDAR, imaging spectroscopy, and thermal measurements at a fine-scale resolution of < 1 meter for a wide range of platforms. It is important to note that when imaging different areas it is often difficult to study land area with varied structural and spectral composition. Take for example a forest landscape that has been fragmented by urban sprawl, the thermal reluctance and ability to differentiate canopy heights from other features is augmented by this multi-faceted instrument approach.

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The first acquisition of passive optical, thermal, and LiDAR data with G-LiHT (14 July 2011; 37.1839°N 76.5291°W). The PI for this project Bruce Cook and his colleagues note that there are differences in the spectral and structural properties of different land cover types, thereby making this instrument highly desirable in ecosystem studies.

Objectives

The synthesis of sensors and data will help to analyze ecosystem form and function with a certain focus on the data products needed to create finer-scale models of structure, spectral, temperature characteristics of vegetation (Cook, et al., 2013). This instrument is readily applicable to the dynamic landscape of mangrove forests. Let’s take a look at one of our more recent publications by Dr. Fatoyinbo using LiDAR data to estimate Zambezi mangrove biomass.

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Zambezi Delta mangrove AGB maps derived from different allometric models. A) Chave linear, B) Komiyama linear, C)Nijana linear, D) Chave power, E) Komiyama power, F) Nijana power from Fatoyinbo et al. (in review).

Estimating Mangrove Aboveground Biomass from Airborne LiDAR Data: a case study from the Zambezi River delta

 

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