Local Distribution of Seagrasses(phyllopadix spp) By Means of processing Infrared and Color Imagery Obtained With a Tethered Blimp to the North Of ensenada, Mexico
Local cover classes and distribution of surfgrasses patches in the study area were mapped using a true-color and false-color digital imagery botained with a photographic camera installed in a blimp. Flights using the small tethered blimp inflated with Helium were carried out in March 1998. The flights were performed elevating the blimp borne camera system from 100m to 300m of height approximately above the ground. A supervised classification will be applied using the maximum likelihood algorithm, considering ten initial classes established by means of several training sites. This classificatinon will be evaluated by obtaining a classification error matrix and by assessing its accuracy considering information recorded by field work. 23 biomass sampling sites and 121 height points for DTM construction were obtained, using as spatial reference the grid-lines established, which have been useful to delineate areas where land cover have been directly recorded in field.
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