Web-Based Library and Algorithm System for Satellite and Airborne Image Products

摘要

This effort delivered the ability to produce bathymetry, bottom typing, and water column optical property estimates from multispectral and hyperspectral imagery products in Very Shallow Waters (VSW). The VSW is a very different remote sensing environment relative to Deep Water (DW) environments, and requires special algorithms to retrieve these environmental products. The algorithms and software transitioned in the deliverables are based on an optimized spectral matching technique. This technique starts with the creation of estimates of spectral remote sensing measures for trillions of possible combinations of environmental conditions in the VSW. These estimates are compared to measured spectral remote sensing signals from any platform, e.g. boats, aircrafts, satellites. The selection of the best matching estimated remote sensing signal is then used to retrieve the environmental conditions necessary to create that estimated signal, i.e. bathymetry, bottom type, and water column inherent optical properties. This effort supports Navy METOC personal in their ability to create in-house hyperspectral and multispectral imagery products, and warfighter-support imagery products. The deliverables here are transitioning VSW algorithms developed by Dr. Curtis D. Mobley at Sequoia Scientific, Inc., and Dr. Paul Bissett at FERI, under other 6.1/6.2 program funding.