Archaeological Prospection, published online 21 June 2012
“A ground-penetrating radar survey was conducted inside the Cathedral of Tarragona in order to explore the first 2 m beneath the ground surface. Initial processing and interpretation revealed a square perimeter related to a massive structure between 1 and 1.4 m below the ground surface. The results of the survey were used to test geostatistical tools by achieving a quantified data analysis and by filtering the data. The data analysis provided a description of the resolution and of the spatial distribution of the data. It included the characterization of the acquisition noise that was then filtered out by factorial kriging. This filtering technique allowed removing the acquisition noise, before the time-slice computation or any interpolation of the data, using weights of interpolation that are based on the spatial variations of the data. Having performed the filtering on the data at acquisition sampling allowed the use of optimized parameters for the visualization of the results, without having to remove remaining acquisition noise with the visualization operators. ”
Computers & 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.”
August 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 esri.com/lts, click Login, and register your name and address.
Urban 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.”
Journal of Fish Diseases, Published online 16 July 2012
J-C Avarre1, A Santika, A Bentenni, Z Zainun, J-P Madeira, M Maskur, L Bigarré, and D Caruso
“Cyprinid herpesvirus 3 (CyHV-3), the causative agent of koi herpesvirus disease, is a major threat for carp populations in many countries worldwide, including Indonesia. It has been shown that many genotypes circulate worldwide, all highly related to one of the two known lineages U/I and J. In this study, we evaluated the spatial and temporal distribution of CyHV-3 strains in a small enzootic area, the lake of Cirata (West Java, Indonesia). Of the 365 samples analysed, from clinical or asymptomatic fish, 244 were found positive for CyHV-3, suggesting a high occurrence of the virus. Genotyping of these viral specimens with a range of molecular markers revealed the presence of numerous haplotypes in the host population, all related to the J lineage. In single individuals, mixed-genotype infections occurred at high frequency. The present results demonstrate that polymorphic molecular markers are suitable to monitor the genetic evolution of a viral population in an enzootic area.”
Computers & Geosciences, Volume 45, August 2012, Pages 98–108
Kristin Stock, Tim Stojanovic, Femke Reitsma, Yang Ou, Mohamed Bishr, Jens Ortmann, and Anne Robertson
“A geospatial knowledge infrastructure consists of a set of interoperable components, including software, information, hardware, procedures and standards, that work together to support advanced discovery and creation of geoscientific resources, including publications, data sets and web services. The focus of the work presented is the development of such an infrastructure for resource discovery. Advanced resource discovery is intended to support scientists in finding resources that meet their needs, and focuses on representing the semantic details of the scientific resources, including the detailed aspects of the science that led to the resource being created.
“This paper describes an information model for a geospatial knowledge infrastructure that uses ontologies to represent these semantic details, including knowledge about domain concepts, the scientific elements of the resource (analysis methods, theories and scientific processes) and web services. This semantic information can be used to enable more intelligent search over scientific resources, and to support new ways to infer and visualise scientific knowledge.
The COMPASS user interface.
“The work describes the requirements for semantic support of a knowledge infrastructure, and analyses the different options for information storage based on the twin goals of semantic richness and syntactic interoperability to allow communication between different infrastructures. Such interoperability is achieved by the use of open standards, and the architecture of the knowledge infrastructure adopts such standards, particularly from the geospatial community. The paper then describes an information model that uses a range of different types of ontologies, explaining those ontologies and their content. The information model was successfully implemented in a working geospatial knowledge infrastructure, but the evaluation identified some issues in creating the ontologies.”
Masters thesis, Texas State University-San Marcos, August 2012
Ryan Thomas Schuermann
“This research uses Geographical Information Science methods to establish spatial information pertaining to archaeological sites within the middle Malpaso Valley, Zacatecas, Mexico. Analysis of residual and Root Mean Square Error of geo-rectification produces both localized and overall geodetic accuracy assessments of a historic 1974 survey map. Ground control points acquired using Global Positioning System provide a basis for establishing confidence in the geo-rectified map. This research is a technological continuation of previous work in the Malpaso Valley, and aims to produce a useful map for spatial analysis and data management in future research.”
Example of ASL ambiguity between warped map and