Paper Info
Title
BOMBER: A tool for estimating water quality and bottom properties from remote sensing images
Abstract
BOMBER (Bio-Optical Model Based tool for Estimating water quality and bottom properties from Remote sensing images) is a software package for simultaneous retrieval of the optical properties of water column and bottom from remotely sensed imagery, which makes use of bio-optical models for optically deep and optically shallow waters. Several menus allow the user to choose the model type, to specify the input and output files, and to set all of the variables involved in the model parameterization and inversion. The optimization technique allows the user to retrieve the maps of chlorophyll concentration, suspended particulate matter concentration, coloured dissolved organic matter absorption and, in case of shallow waters, bottom depth and distributions of up to three different types of substrate, defined by the user according to their albedo. The software requires input image data that must be atmospherically corrected to remote sensing reflectance values. For both deep and shallow water models, a map of the relative error involved in the inversion procedure is also given. The tool was originally intended to estimate water quality in lakes; however thanks to its general design, it can be applied to any other aquatic environments (e.g., coastal zones, estuaries, lagoons) for which remote sensing reflectance values are known. BOMBER is fully programmed in IDL (Interactive Data Language) and uses IDL widgets as graphical user interface. It runs as an add-on tool for the ENVI+IDL image processing software and is available on request.
Year
DOI
Venue
2012
10.1016/j.cageo.2011.11.022
Computers & Geosciences
Keywords
Field
DocType
shallow water,water quality,bio-optical model,idl widget,water column,idl image processing software,bottom property,graphical user interface,reflectance value,estimating water quality,shallow water model,water,inversion
Waves and shallow water,Inversion (meteorology),Computer science,Remote sensing,Albedo,Input/output,Software,Graphical user interface,Water quality,Approximation error
Journal
Volume
ISSN
Citations 
45,
0098-3004
14
PageRank 
References 
Authors
1.92
2
6
Name
Order
Citations
PageRank
Claudia Giardino1279.02
Gabriele Candiani2235.29
Mariano Bresciani3349.61
Zhongping Lee4318.52
Stefano Gagliano5141.92
Monica Pepe6142.26