Correlation between aircraft MSS and LIDAR remotely sensed data on a forested Wetland

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Abstract
Inland wetland in a portion of the Savannah River swamp forest were mapped with an overall accuracy of 88.5% on April 26, 1985 using high resolution aircraft Daedalus AADS‐1268 multispectral scanner (MSS) data. In addition, light detecting and ranging (LIDAR) data were acquired using a National Aeronautics and Space Administration (NASA) sensor system flown along two flight lines over the Steel Creek Delta. The LIDAR data were significantly con‐elated (R2=0.988 at the 0.0001 level of confidence) with in situ tree height measurements. The LIDAR data were registered to the wetland classification map and correlated. Statistical analyses demonstrated that the laser derived canopy height information was significantly associated with the Steel Creek Delta wetland classes encountered along the LIDAR transect (an F‐value of 58.46 at the 0.0001 level of confidence). The relationship between vegetation height and vegetation type was then used to produce a three‐dimensional model of the landscape which can be of value when computing biomass or canopy density in this forested wetland environment.

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