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ISSUES IN DIGITAL IMAGE PROCESSING OF AERIAL PHOTOGRAPHY FOR MAPPING SUBMERSED AQUATIC VEGETATION
Citation:
Clinton, P J., D R. Young, B D. Robbins, AND D T. Specht. ISSUES IN DIGITAL IMAGE PROCESSING OF AERIAL PHOTOGRAPHY FOR MAPPING SUBMERSED AQUATIC VEGETATION. Sixth International Conference on Remote Sensing for Marine and Coastal Environments, Charleston, SC, May 1-3, 2000.
Description:
The paper discusses the numerous issues that needed to be addressed when developing a methodology for mapping Submersed Aquatic Vegetation (SAV) from digital aerial photography. Specifically, we discuss 1) choice of film; 2) consideration of tide and weather constraints; 3) in-situ survey and geopositioning; 4) orthorectification; and 5) the analog nature of aerial photography versus electronically-sensed spectral reflectance data in the development of classification algorithms. We digitally classified SAV distributions from both large and small format Color Infrared film imagery acquired coincident to extreme low tides using photographic band ratio algorithms and vector masking. Desktop geographical image processing software was used for image classification and georeferencing scanned, low cost, small format imagery to digitally orthorectified, large format imagery.