BOMBER: A Tool for Estimating Water Quality and Bottom Properties from Remote Sensing Images

Computers & GeosciencesComputers & Geosciences, Volume 45, August 2012, Pages 313–318

Claudia Giardino, Gabriele Candiani, Mariano Bresciani, Zhongping Lee, Stefano Gagliano, and Monica Pepe

“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.”

Free Webinar: Integrating Geographic Information into AutoCAD

Esri logoAugust 2, 2012

9:00 a.m., 11:00 a.m., and 3:00 p.m. (Pacific daylight time)

ArcGIS for AutoCAD from Esri makes it easy for AutoCAD users to access maps and data from ArcGIS for use in computer-aided design (CAD) drawings. This free downloadable application also helps them prepare CAD data for use within ArcGIS while still maintaining CAD standards.

To become familiar with the application, join Esri for a free live training seminar, ArcGIS for AutoCAD, on August 2, 2012. After viewing this seminar, you will understand how to do the following:

  • Prepare GIS data using AutoCAD
  • Edit geodatabases within AutoCAD
  • Access, manage, edit, and view geographic information via ArcGIS for Server while in AutoCAD
  • View and use maps from ArcGIS Online within AutoCAD
  • Extract geometry and attributes while in AutoCAD from ArcGIS Online and your organization’s ArcGIS for Server maps

This live training seminar is geared toward AutoCAD and ArcGIS users who want to share geographic information in their project workflows. A basic understanding of AutoCAD and ArcGIS is recommended.

Attendees need a broadband Internet connection and an Esri Global Account to watch the live training seminar. Creating an Esri Global Account is easy and free: visit, click Login, and register your name and address.

Spatial and Temporal Analysis of Urban Flood Risk Assessment

Urban Water JournalUrban Water Journal, Published 27 July 2012

Shohan S. Ahmad & Slobodan P. Simonovicb

“Urban flood risk assessment requires quantification of uncertainty that is spatially and temporally variable. This paper presents a new approach to urban flood risk assessment by: (a) integrating objective and subjective uncertainties and (b) providing full insight into spatial and temporal change of flood risk. A 1-D storm sewer model and a 2-D surface flow model are integrated to describe the dynamic interactions between overland flow on the streets and flow through the storm sewer network. The fuzzy set theory approach is used to assess spatial and temporal variability of urban flood damage, and the acceptable level of partial flood damage. The spatial and temporal variability of fuzzy performance indices: (i) combined reliability-vulnerability; (ii) robustness and (iii) resiliency, are generated as the outcome of the urban flood risk analysis. The methodology is illustrated using the residential community of Cedar Hollow (London, Ontario, Canada) as a case study.”