Kumar P., Alameda J., Bajcsy P., Folk M., Markus M. Hydroinformatics: Data Integrative Approaches in Computation, Analysis, and Modeling

Taylor & Francis Group, LLC., 2005. – 552 p. – ISBN: 0849328942.Modern hydrology is more interdisciplinary than ever. Staggering amounts and varieties of information pour in from GIS and remote sensing systems every day, and this information must be collected, interpreted, and shared efficiently. Hydroinformatics: Data Integrative Approaches in Computation, Analysis, and Modeling introduces the tools, approaches, and system considerations necessary to take full advantage of the abundant hydrological data available today.Data Integrative Studies in Hydroinformatics
Data Driven Investigations in Hydrology
UnifiedMod eling Language
Digital Library Technology for Hydrology
Hydrologic Metadata
Hydrologic Data Models
The Modelshed Geodata Model
Managing and Accessing Large Datasets
Data Models for Storage and Retrieval
Data Formats
HDF5
Data Communication
Web Services
Extensible Markup Language
GridComputing
IntegratedData Management System
Data Processing and Analysis
Introduction to Data Processing
Understanding Data Sources
Data Representation
Spatial Registration
Georeferencing
Data Integration
Feature Extraction
Feature Selection andAnalysis
Soft Computing
Statistical Data Mining
Artificial Neural Networks
Genetic Algorithms
Fuzzy Logic
Appendices
A Tutorial for Geodatabase and Modelshed Tools Operation
XSL Transformation File Example
The UTM Northern Hemisphere Projection
Molodensky Equations
Section IV Review Questions
Section IV Project Assignment