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Information on mangrove forest height can be used to estimate biomass, which is extremely important for climate studies and as an energy source in developing countries.
We focused on high-contrast edges between forest (height ≥ 10 m) and adjoining open habitat or young, regenerating forest (height ≤ 5 m).
Interestingly, no effects of forest height on the thermal diffusivity of SWCNT buckypapers were observed.
Similarly, SRTM data include information on topography and also forest height.
Overestimation in forest height was also noticed at several patches of the forest.
The accuracy of the forest height estimated is assessed using ground-based measurements.
TSI based PolInSAR inversion modeling showed the most accurate result for forest height estimation.
As shown in the previous paragraph, taking into consideration the fact that forest height did not influence CNT quality, we conclude that the increase in buckypaper conductivity accompanying forest height was a result of the increased length of individual SWCNTs.
Our results indicate that the length of the SWCNTs within the forest is equal to the forest height.
As opposed to electrical conductivity, a clear dependence of thermal conductance on SWCNT forest height was not observed (Figure 4).
Two techniques – Coherence Amplitude Inversion (CAI) and Three Stage Inversion (TSI) – for forest height estimation are discussed, compared and validated.
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