TauDEM and CyberGIS. Johnathan Rush
|
|
- Jemimah French
- 7 years ago
- Views:
Transcription
1 TauDEM and CyberGIS Johnathan Rush CyberGIS Center for Advanced Digital and Spatial Studies cybergis.illinois.edu National Center for Supercomputing Applications (NCSA) University of Illinois at Urbana-Champaign CyberInfrastructure and Geospatial Information Laboratory (CIGI) cigi.illinois.edu Department of Geography and Geographic Information Science School of Earth, Society and Environment 1
2 Intro to TauDEM TauDEM (Terrain Analysis Using Digital Elevation Models) is a suite of Digital Elevation Model (DEM) tools for the extraction and analysis of hydrologic information from topography as represented by a DEM. TauDEM provides the following capability: Development of hydrologically correct (pit removed) DEMs using the flooding approach Calculates flow paths (directions) and slopes Calculates contributing area using single and multiple flow direction methods Multiple methods for the delineation of stream networks including topographic formbased methods sensitive to spatially variable drainage density Objective methods for determination of the channel network delineation threshold based on stream drops Delineation of watersheds and subwatersheds draining to each stream segment and association between watershed and segment attributes for setting up hydrologic models 2
3 Intro to TauDEM Specialized functions for terrain analysis, including: Calculates the slope/area ratio that is the basis for the topographic wetness index Calculates both the distance up to ridges and down to streams in horizontal, vertical, along slope and direct variants Maps locations upslope where activities have an effect on a downslope location Evaluates upslope contribution subject to decay or attenuation Calculates accumulation where the uptake is subject to concentration limitations Calculates accumulation where the uptake is subject to transport limitations Evaluates reverse accumulation Evaluates potential avalanche runout areas 3
4 Windows command line Unix command line ArcGIS Toolbox Compute Clusters CyberGIS Gateway TauDEM Platforms 4
5 CyberGIS CyberGIS is Geographic Information Science and Systems based on advanced cyberinfrastructure. Cyberinfrastructure includes: (high performance) computing systems data storage systems advanced instruments data repositories visualization environments people linked by high speed networks 5
6 Big Data Big Compute Big Collaboration Big Problems 6
7 Research Application Focus Areas: Agriculture and Food Disaster and Emergency Earth and Environment Energy and Water Resources Health and Wellness
8 GISolve Middleware CyberGIS Toolkit DB Controller Data Storage CyberGIS Gateway Computing Environment Job Panel Data Selection Job Job Wrappers Analysis Input Panels Geo-Input Editing Data Visualization Data Retrieval Workflow Mapping Geo Data Processing Visualization Sharing Data Servers Mapping Servers Metadata Servers External Data Sources Execution Setup Parallel Computing Post-processing Geo-visualization 8
9 CyberGIS Toolkit cybergis.cigi.uiuc.edu/cybergiswiki/doku.php/ct 9
10 GISolve Middleware 10
11 Infrastructure NSF Blue UofI 13,300 TFlop/s NSF XSEDE: SDSC Trestles 100 TFlop/s CyberGIS Roger ~60 TFlop/s
12 CyberGIS Gateway gateway.cybergis.org sandbox.cybergis.org 12
13 CyberGIS Gateway Applications 13
14 TauDEM on Gateway 14
15 Workflows 15
16 TauDEM Functions Hydrologically Conditioned Elevation Grid (Pit Remove) D8 Flow Direction D8 Slope D8 Contributing Area Dinfinity Flow Direction Dinfinity Slope Dinfinity Specific Catchment Area Contributing Area Stream Raster Peuker Douglas Stream Raster Stream Network And Subwatersheds Topographic Wetness Index 16
17 TauDEM Functions Move outlets to streams Gage Subwatersheds Drop Analysis Slope-Area Stream Raster D8 Flow Accumulation D8 Distance To Streams Dinfinity Flow Accumulation D-Infinity Distance Down, D-Infinity Distance Up Grid Network: Path Length, Strahler Order, Total Length Slope Area Ratio Slope Average Down 17
18 Workflow Provenance 18
19 Workflow Provenance 19
20 Workflow Provenance 20
21 Visualization Tool
22 Job Time and ROGER TauDEM currently runs on 64 cores on Trestles ROGER has around 1040 cores available 22
23 Optimization Increasing data size as elevation data resolution National Elevation Dataset o 30 meters: 175 GB o 10 meters: 500 GB o 1 meter: 50 TB to 4-5 PB OpenTopography Lidar-derived DEM data Other Lidar sources, including ISGS XSEDE Extended Collaborative Support Service (ECSS) Improve the productivity of the XSEDE user community through both successful, meaningful collaborations and well-planned training activities in order to optimize their applications, improve their work and data flows, and increase their effective use of the XSEDE digital infrastructure; engage with members of underrepresented demographic communities and in underrepresented domain areas to broadly expand the XSEDE user base. 23
24 TauDEM Collaboration TauDEM 5.0 Lidarderived DEMs OpenTopography Scalability Enhancement (XSEDE ECSS) TauDEM 5.x CyberGIS DEMs USGS NED OT User DEMs OT TauDEM Services CyberGIS- TauDEM App TauDEM-enabled Research 24
25 Optimization Parallel programming model: Message Passing Interface (MPI) Spatial data decomposition o Each process reads a sub-region for processing o MPI communication for exchanging runtime hydrological information o Each process writes a sub-region defined by output data decomposition Parallel input/output (IO) o In-house GeoTIFF library (no support for files >4GB) o MPI IO for DEM read and write 25
26 Multi-File Input mpiexec n 5 pitremove Uses five processes, splitting domain into horizontal stripes. 5 Input files (red rectangles) may be arbitrarily positioned and may overlap or not fill domain completely. All files in folder are taken to comprise domain. 4GB file limit corresponds to roughly 32000x32000 rows and columns. 26
27 Multi-File Output 3 -mf 3 2 Multifile option allows each input stripe being output as multiple files, in this case, 3 columns and two rows
28 CyberGIS Improvements Improved file IO increased scalability. - Fan et al
29 CyberGIS Improvements Before ECSS round of improvements, the largest DEM size that could be processed was 6GB Test results on 36GB: Target is 500GB 10m NED with cores 29
30 Acknowledgements XSEDE (NSF Grant No ) This material is based in part upon work supported by NSF under Grant Numbers and TauDEM team work is supported by the US Army Research and Development Center contract No. W912HZ-11-P-0338 and the NSF Grant Number Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author and do not necessarily reflect the views of the National Science Foundation 30
31 Thanks! Johnathan Rush: Shaowen Wang: Sign up on mailing list or visit our webpage to find out about upcoming speakers, training, and other events! lists.illinois.edu/lists/subscribe/cybergis-center cybergis.illinois.edu 31
CSDMS TauDEM Clinic "Hands On" Exercise
CSDMS TauDEM Clinic "Hands On" Exercise David Tarboton, dtarb@usu.edu Utah State University Goal Be able to use TauDEM tools to derive hydrologically useful information from Digital Elevation Models (DEMs)
More informationEarth Data Science in The Era of Big Data and Compute
Earth Data Science in The Era of Big Data and Compute E. Lynn Usery U.S. Geological Survey usery@usgs.gov http://cegis.usgs.gov U.S. Department of the Interior U.S. Geological Survey Board on Earth Sciences
More informationA Method Using ArcMap to Create a Hydrologically conditioned Digital Elevation Model
A Method Using ArcMap to Create a Hydrologically conditioned Digital Elevation Model High resolution topography derived from LiDAR data is becoming more readily available. This new data source of topography
More informationImpact of water harvesting dam on the Wadi s morphology using digital elevation model Study case: Wadi Al-kanger, Sudan
Impact of water harvesting dam on the Wadi s morphology using digital elevation model Study case: Wadi Al-kanger, Sudan H. S. M. Hilmi 1, M.Y. Mohamed 2, E. S. Ganawa 3 1 Faculty of agriculture, Alzaiem
More informationManaging Lidar (and other point cloud) Data. Lindsay Weitz Cody Benkelman
(and other point cloud) Data Lindsay Weitz Cody Benkelman Presentation Context What is lidar, and how does it work? Not this presentation! What can you do with lidar in ArcGIS? What does Esri recommend
More informationSelection of Drainage Network Using Raster GIS A Case Study
International Journal of Engineering Science Invention ISSN (Online): 2319 6734, ISSN (Print): 2319 6726 Volume 2 Issue 8 ǁ August. 2013 ǁ PP.35-40 Selection of Drainage Network Using Raster GIS A Case
More informationBig Data in OpenTopography
Big Data in OpenTopography Vishu Nandigam San Diego Supercomputer Center NSF Big Data in Educa
More informationWhitebox Geospatial Analysis Tools Tutorial Series. Tutorial 3: Streams and Watershed Extraction
1 Whitebox Geospatial Analysis Tools Tutorial Series Tutorial 3: Streams and Watershed Extraction 2 Tutorial version 1.0, March, 2010 Written by John Lindsay, Whitebox Geospatial Analysis Tools Project
More informationFirst Steps. Setup, data import, visualization and basic terrain analysis. Volker Wichmann
SAGA First Steps Setup, data import, visualization and basic terrain analysis Volker Wichmann SAGA Setup on Windows Download of SAGA 2.0.8 binaries (1) www.saga-gis.org (2) >> Downloads (@ SourceForge)
More informationFort Dodge Stormwater Master Planning. Prepared By: Ralph C. Stark, Jr., P.E., C.F.M. Joel N. Krause, P.E., C.F.M.
Fort Dodge Stormwater Master Planning Prepared By: Ralph C. Stark, Jr., P.E., C.F.M. Joel N. Krause, P.E., C.F.M. Project Location Project Background Flooding History Localized flooding and storm sewer
More informationA HYDROLOGIC NETWORK SUPPORTING SPATIALLY REFERENCED REGRESSION MODELING IN THE CHESAPEAKE BAY WATERSHED
A HYDROLOGIC NETWORK SUPPORTING SPATIALLY REFERENCED REGRESSION MODELING IN THE CHESAPEAKE BAY WATERSHED JOHN W. BRAKEBILL 1* AND STEPHEN D. PRESTON 2 1 U.S. Geological Survey, Baltimore, MD, USA; 2 U.S.
More informationA Theory of the Spatial Computational Domain
A Theory of the Spatial Computational Domain Shaowen Wang 1 and Marc P. Armstrong 2 1 Academic Technologies Research Services and Department of Geography, The University of Iowa Iowa City, IA 52242 Tel:
More informationGIS Databases With focused on ArcSDE
Linköpings universitet / IDA / Div. for human-centered systems GIS Databases With focused on ArcSDE Imad Abugessaisa g-imaab@ida.liu.se 20071004 1 GIS and SDBMS Geographical data is spatial data whose
More informationMrSID Plug-in for 3D Analyst
LizardTech MrSID Plug-in for 3D Analyst User Manual Copyrights Copyright 2009 2010 LizardTech. All rights reserved. Information in this document is subject to change without notice. The software described
More informationCreate a folder on your network drive called DEM. This is where data for the first part of this lesson will be stored.
In this lesson you will create a Digital Elevation Model (DEM). A DEM is a gridded array of elevations. In its raw form it is an ASCII, or text, file. First, you will interpolate elevations on a topographic
More informationDevelopment of an Impervious-Surface Database for the Little Blackwater River Watershed, Dorchester County, Maryland
Development of an Impervious-Surface Database for the Little Blackwater River Watershed, Dorchester County, Maryland By Lesley E. Milheim, John W. Jones, and Roger A. Barlow Open-File Report 2007 1308
More informationUsing the Spatial Database Engine to develop a FEMA friendly Database and Asset Management Tool José Maria Guzmán, PE February 2009 GAFM 4th Annual Technical Conference Columbus, GA Outline Typical Datasets
More informationThe following was presented at DMT 14 (June 1-4, 2014, Newark, DE).
DMT 2014 The following was presented at DMT 14 (June 1-4, 2014, Newark, DE). The contents are provisional and will be superseded by a paper in the DMT 14 Proceedings. See also presentations and Proceedings
More informationApplying GIS in seismic hazard assessment and data integration for disaster management
Applying GIS in seismic hazard assessment and data integration for disaster management Rumiana Vatseva, Dimcho Solakov, Emilia Tcherkezova, Stela Simeonova, Petya Trifonova National Institute of Geophysics,
More informationHow To Write An Nccwsc/Csc Data Management Plan
Guidance and Requirements for NCCWSC/CSC Plans (Required for NCCWSC and CSC Proposals and Funded Projects) Prepared by the CSC/NCCWSC Working Group Emily Fort, Data and IT Manager for the National Climate
More informationDEVELOPING AN INUNDATION MAP STANDARD FOR THE U.S. ARMY CORPS OF ENGINEERS
DEVELOPING AN INUNDATION MAP STANDARD FOR THE U.S. ARMY CORPS OF ENGINEERS Will Breitkreutz, Geographer, U.S. Army Corps of Engineers Kansas City District, Kansas City, Missouri, will.l.breitkreutz@usace.army.mil
More informationGuidance for Flood Risk Analysis and Mapping. Changes Since Last FIRM
Guidance for Flood Risk Analysis and Mapping Changes Since Last FIRM May 2014 This guidance document supports effective and efficient implementation of flood risk analysis and mapping standards codified
More informationWeb-based GIS Application of the WEPP Model
Web-based GIS Application of the WEPP Model Dennis C. Flanagan Research Agricultural Engineer USDA - Agricultural Research Service National Soil Erosion Research Laboratory West Lafayette, Indiana, USA
More informationGEOENGINE MSc in Geomatics Engineering (Master Thesis) Anamelechi, Falasy Ebere
Master s Thesis: ANAMELECHI, FALASY EBERE Analysis of a Raster DEM Creation for a Farm Management Information System based on GNSS and Total Station Coordinates Duration of the Thesis: 6 Months Completion
More informationMichigan Tech Research Institute Wetland Mitigation Site Suitability Tool
Michigan Tech Research Institute Wetland Mitigation Site Suitability Tool Michigan Tech Research Institute s (MTRI) Wetland Mitigation Site Suitability Tool (WMSST) integrates data layers for eight biophysical
More informationDesign and Implementation of a Web Service-Oriented Gateway to Facilitate Environmental Modeling using HPC Resources
International Environmental Modelling and Software Society (iemss) 7th Intl. Congress on Env. Modelling and Software, San Diego, CA, USA, Daniel P. Ames, Nigel W.T. Quinn and Andrea E. Rizzoli (Eds.) http://www.iemss.org/society/index.php/iemss-2014-proceedings
More information2D Modeling of Urban Flood Vulnerable Areas
2D Modeling of Urban Flood Vulnerable Areas Sameer Dhalla, P.Eng. Dilnesaw Chekol, Ph.D. A.D. Latornell Conservation Symposium November 22, 2013 Outline 1. Toronto and Region 2. Evolution of Flood Management
More informationDEVELOPMENT OF WEB-BASED GIS INTERFACES FOR APPLICATION OF THE WEPP MODEL
DEVELOPMENT OF WEB-BASED GIS INTERFACES FOR APPLICATION OF THE WEPP MODEL D.C. Flanagan A, J.R. Frankenberger A, C.S. Renschler B and B.A. Engel C A National Soil Erosion Research Laboratory, USDA-ARS,
More informationA SEMI-AUTOMATED TOOL FOR REDUCING THE CREATION OF FALSE CLOSED DEPRESSIONS FROM A FILLED LIDAR-DERIVED DIGITAL ELEVATION MODEL
A SEMI-AUTOMATED TOOL FOR REDUCING THE CREATION OF FALSE CLOSED DEPRESSIONS FROM A FILLED LIDAR-DERIVED DIGITAL ELEVATION MODEL John Wall Department of Marine, Earth & Atmospheric Sciences, 2800 Faucette
More informationBig Data, Cloud Computing, Spatial Databases Steven Hagan Vice President Server Technologies
Big Data, Cloud Computing, Spatial Databases Steven Hagan Vice President Server Technologies Big Data: Global Digital Data Growth Growing leaps and bounds by 40+% Year over Year! 2009 =.8 Zetabytes =.08
More informationData source, type, and file naming convention
Exercise 1: Basic visualization of LiDAR Digital Elevation Models using ArcGIS Introduction This exercise covers activities associated with basic visualization of LiDAR Digital Elevation Models using ArcGIS.
More informationNotable near-global DEMs include
Visualisation Developing a very high resolution DEM of South Africa by Adriaan van Niekerk, Stellenbosch University DEMs are used in many applications, including hydrology [1, 2], terrain analysis [3],
More informationApplying GIS Analysis to Archaeological Research in Canada
Applying GIS Analysis to Archaeological Research in Canada T A L K B Y D R. K I S H A S U P E R N A N T P R E S E N T E D A T G E O A L B E R T A 2 0 1 3 S E P T E M B E R 2 3, 2 0 1 3 Overview Review
More informationYear 3 Project Report NSF SI2-SSI: CyberGIS Software Integration for Sustained Geospatial Innovation
Year 3 Project Report NSF SI2-SSI: CyberGIS Software Integration for Sustained Geospatial Innovation Executive Committee Shaowen Wang, Principal Investigator Luc Anselin, Co-Principal Investigator Budhendra
More informationUsing D2K Data Mining Platform for Understanding the Dynamic Evolution of Land-Surface Variables
Using D2K Data Mining Platform for Understanding the Dynamic Evolution of Land-Surface Variables Praveen Kumar 1, Peter Bajcsy 2, David Tcheng 2, David Clutter 2, Vikas Mehra 1, Wei-Wen Feng 2, Pratyush
More informationUSGS StreamStats Web Application for Kentucky
USGS StreamStats Web Application for Kentucky Implementation of selected low- and mean-flow estimating equations Gary Martin, Hydrologist Project Chief U.S. Geological Survey, Kentucky Water Science Center
More informationOklahoma s Open Source Spatial Data Clearinghouse: OKMaps
Oklahoma s Open Source Spatial Data Clearinghouse: OKMaps Presented by: Mike Sharp State Geographic Information Coordinator Oklahoma Office of Geographic Information MAGIC 2014 Symposium April 28-May1,
More informationNATIONAL CLIMATE CHANGE & WILDLIFE SCIENCE CENTER & CLIMATE SCIENCE CENTERS DATA MANAGEMENT PLAN GUIDANCE
NATIONAL CLIMATE CHANGE & WILDLIFE SCIENCE CENTER & CLIMATE SCIENCE CENTERS DATA MANAGEMENT PLAN GUIDANCE Prepared by: NCCWSC/CSC Data Management Working Group US Geological Survey February 26, 2013 Version
More informationDATA VISUALIZATION GABRIEL PARODI STUDY MATERIAL: PRINCIPLES OF GEOGRAPHIC INFORMATION SYSTEMS AN INTRODUCTORY TEXTBOOK CHAPTER 7
DATA VISUALIZATION GABRIEL PARODI STUDY MATERIAL: PRINCIPLES OF GEOGRAPHIC INFORMATION SYSTEMS AN INTRODUCTORY TEXTBOOK CHAPTER 7 Contents GIS and maps The visualization process Visualization and strategies
More informationFiles Used in this Tutorial
Generate Point Clouds Tutorial This tutorial shows how to generate point clouds from IKONOS satellite stereo imagery. You will view the point clouds in the ENVI LiDAR Viewer. The estimated time to complete
More informationVersion 3.0, April 16, 2012, updated for ArcGIS 10.0 Produced by the Geographic Information Network of Alaska http://www.gina.alaska.
Using the AlaskaMapped Web Services in ESRI ArcGIS Version 3.0, April 16, 2012, updated for ArcGIS 10.0 Produced by the Geographic Information Network of Alaska http://www.gina.alaska.edu AlaskaMapped
More informationRequest for Proposals for Topographic Mapping. Issued by: Teton County GIS and Teton County Engineering Teton County, Wyoming
Request for Proposals for Topographic Mapping Issued by: Teton County GIS and Teton County Engineering Teton County, Wyoming Proposals due: 2:00PM MDT July 1, 2015 Proposals may be delivered to: Teton
More informationCloud-based Geospatial Data services and analysis
Cloud-based Geospatial Data services and analysis Xuezhi Wang Scientific Data Center Computer Network Information Center Chinese Academy of Sciences 2014-08-25 Outlines 1 Introduction of Geospatial Data
More informationA Web-Based Library and Algorithm System for Satellite and Airborne Image Products
DISTRIBUTION STATEMENT A: Approved for public release; distribution is unlimited. A Web-Based Library and Algorithm System for Satellite and Airborne Image Products W. Paul Bissett Florida Environmental
More informationStream-Network Navigation in the U.S. Geological Survey StreamStats Web Application
2009 International Conference on Advanced Geographic Information Systems & Web Services Stream-Network Navigation in the U.S. Geological Survey StreamStats Web Application Kernell G. Ries III, Peter A.
More informationLiDAR Data Management Lessons for Geospatial Data Managers
LiDAR Data Management Lessons for Geospatial Data Managers By: Morris County Department of Planning, Development & Technology Background 2005 Morris County LiDAR Acquisition 5 year Orthophotography Plan
More informationLIDAR and Digital Elevation Data
LIDAR and Digital Elevation Data Light Detection and Ranging (LIDAR) is being used by the North Carolina Floodplain Mapping Program to generate digital elevation data. These highly accurate topographic
More informationBig Data and Analytics: Getting Started with ArcGIS. Mike Park Erik Hoel
Big Data and Analytics: Getting Started with ArcGIS Mike Park Erik Hoel Agenda Overview of big data Distributed computation User experience Data management Big data What is it? Big Data is a loosely defined
More informationSustainable Development with Geospatial Information Leveraging the Data and Technology Revolution
Sustainable Development with Geospatial Information Leveraging the Data and Technology Revolution Steven Hagan, Vice President, Server Technologies 1 Copyright 2011, Oracle and/or its affiliates. All rights
More informationAppendix C - Risk Assessment: Technical Details. Appendix C - Risk Assessment: Technical Details
Appendix C - Risk Assessment: Technical Details Page C1 C1 Surface Water Modelling 1. Introduction 1.1 BACKGROUND URS Scott Wilson has constructed 13 TUFLOW hydraulic models across the London Boroughs
More informationBasics on Geodatabases
Basics on Geodatabases 1 GIS Data Management 2 File and Folder System A storage system which uses the default file and folder structure found in operating systems. Uses the non-db formats we mentioned
More informationRemote Sensing, GPS and GIS Technique to Produce a Bathymetric Map
Remote Sensing, GPS and GIS Technique to Produce a Bathymetric Map Mark Schnur EES 5053 Remote Sensing Fall 2007 University of Texas at San Antonio, Department of Earth and Environmental Science, San Antonio,
More informationWatershed Delineation
ooooo Appendix D: Watershed Delineation Department of Environmental Protection Stream Survey Manual 113 Appendix D: Watershed Delineation Imagine a watershed as an enormous bowl. As water falls onto the
More informationADWR GIS Metadata Policy
ADWR GIS Metadata Policy 1 PURPOSE OF POLICY.. 3 INTRODUCTION.... 4 What is metadata?... 4 Why is it important? 4 When to fill metadata...4 STANDARDS. 5 FGDC content standards for geospatial metadata...5
More informationTutorial 8 Raster Data Analysis
Objectives Tutorial 8 Raster Data Analysis This tutorial is designed to introduce you to a basic set of raster-based analyses including: 1. Displaying Digital Elevation Model (DEM) 2. Slope calculations
More informationIntroduction to GIS (Basics, Data, Analysis) & Case Studies. 13 th May 2004. Content. What is GIS?
Introduction to GIS (Basics, Data, Analysis) & Case Studies 13 th May 2004 Content Introduction to GIS Data concepts Data input Analysis Applications selected examples What is GIS? Geographic Information
More informationIntegrated Information Management System, Development of Web Interface, a.k.a. Online Data Portal (ODP)
Integrated Information Management System, Development of Web Interface, a.k.a. Online Data Portal (ODP) USBR Science and Technology Project ID 3625 Eric Peterson, May 2014. Duration: Fiscal Year 2010 through
More informationReview for Introduction to Remote Sensing: Science Concepts and Technology
Review for Introduction to Remote Sensing: Science Concepts and Technology Ann Johnson Associate Director ann@baremt.com Funded by National Science Foundation Advanced Technological Education program [DUE
More informationPractical, Easy-to-Use, Free GIS and Remote Sensing Tools for Resource Management
Practical, Easy-to-Use, Free GIS and Remote Sensing Tools for Resource Management Andrew Lister Research Forester 11 Campus Blvd, Ste. 200 Newtown Square, PA 19073 alister@fs.fed.us Abstract: Geographic
More informationHigh-Performance Visualization of Geographic Data
High-Performance Visualization of Geographic Data Presented by Budhendra Bhaduri Alexandre Sorokine Geographic Information Science and Technology Computational Sciences and Engineering Managed by UT-Battelle
More informationHow To Hydrologically Condition A Digital Dam
Program: Funding: Conservation Applications of LiDAR Data http://tsp.umn.edu/lidar Environment and Natural Resources Trust Fund Module: Instructor: Hydrologic Applications Sean Vaughn, DNR GIS Hydrologist
More informationENVI THE PREMIER SOFTWARE FOR EXTRACTING INFORMATION FROM GEOSPATIAL IMAGERY.
ENVI THE PREMIER SOFTWARE FOR EXTRACTING INFORMATION FROM GEOSPATIAL IMAGERY. ENVI Imagery Becomes Knowledge ENVI software uses proven scientific methods and automated processes to help you turn geospatial
More informationRemote Graphical Visualization of Large Interactive Spatial Data
Remote Graphical Visualization of Large Interactive Spatial Data ComplexHPC Spring School 2011 International ComplexHPC Challenge Cristinel Mihai Mocan Computer Science Department Technical University
More informationAn Grid Service Module for Natural Resource Managers
An Grid Service Module for Natural Resource Managers Dali Wang 1, Eric Carr 1, Mark Palmer 1, Michael W. Berry 2 and Louis J. Gross 1 1 The Institute for Environmental Modeling 569 Dabney Hall, University
More informationXSEDE Science Gateway Use Cases
25th October 2012 Version 0.4 Page 1 Table of Contents A. Document History B. Document Scope C. Science Gateway Use Cases D. Foundational (general XSEDE) use case that is a prerequisite for one of the
More informationIntroduction to GIS. http://libguides.mit.edu/gis
Introduction to GIS http://libguides.mit.edu/gis 1 Overview What is GIS? Types of Data and Projections What can I do with GIS? Data Sources and Formats Software Data Management Tips 2 What is GIS? 3 Characteristics
More informationMinnesota State Plan Review Level 2 Hazus-MH 2.1 County Model for Flooding Dakota County Evaluation
Overview Minnesota State Plan Review Level 2 Hazus-MH 2.1 County Model for Flooding Dakota County Evaluation Minnesota Homeland Security and Emergency Management (HSEM) is responsible for supporting activities
More informationNumerical Modeling and Simulation of Extreme Flood Inundation to Assess Vulnerability of Transportation Infrastructure Assets
Numerical Modeling and Simulation of Extreme Flood Inundation to Assess Vulnerability of Transportation Infrastructure Assets 2015 University Transportation Center (UTC) Conference for the Southeastern
More informationSpatial Analyst Tutorial
Copyright 1995-2010 Esri All rights reserved. Table of Contents About the ArcGIS Spatial Analyst Tutorial......................... 3 Exercise 1: Preparing for analysis............................ 5 Exercise
More informationINTEROPERABLE IMAGE DATA ACCESS THROUGH ARCGIS SERVER
INTEROPERABLE IMAGE DATA ACCESS THROUGH ARCGIS SERVER Qian Liu Environmental Systems Research Institute 380 New York Street Redlands, CA92373, U.S.A - qliu@esri.com KEY WORDS: OGC, Standard, Interoperability,
More informationAmerican-Eurasian Journal of Sustainable Agriculture
Copyright 2015, American-Eurasian Network for Scientific Information publisher American-Eurasian Journal of Sustainable Agriculture ISSN: 1995-0748 JOURNAL home page: http://www.aensiweb.com/aejsa 2015
More informationHydroDesktop Overview
HydroDesktop Overview 1. Initial Objectives HydroDesktop (formerly referred to as HIS Desktop) is a new component of the HIS project intended to address the problem of how to obtain, organize and manage
More informationImporting Terrain and Imagery into STK
Importing Terrain and Imagery into STK CONTENTS OVERVIEW... 2 IMPORTING TERRAIN DATA TO A SCENARIO... 3 USING THE IMAGERY AND TERRAIN CONVERTER... 3 Creating a 3D Image Inlay... 3 Displaying Your Image
More information1 Portland State University. 506 SW Mill St., Suite 750, Portland, OR 97201 Telephone: 1 (971) 404-1843 Email: jvoelkel@pdx.edu
Geocomputation for Urban Planning in the era of big data: Developing automated tools for analyzing lidar data to inform urban planning and policy in Portland, OR J. L. Voelkel 1, V. Shandas 2, M. Rao 3,
More information06 - NATIONAL PLUVIAL FLOOD MAPPING FOR ALL IRELAND THE MODELLING APPROACH
06 - NATIONAL PLUVIAL FLOOD MAPPING FOR ALL IRELAND THE MODELLING APPROACH Richard Kellagher 1, Mike Panzeri 1, Julien L Homme 1, Yannick Cesses 1, Ben Gouldby 1 John Martin 2, Oliver Nicholson 2, Mark
More informationBhuvan. Indian Earth Observation Visualization. Indian Space Research Organisation. http://bhuvan.nrsc.gov.in. Multi Resolution. Societal Applications
Multi Resolution Bhuvan Societal Applications Indian Earth Observation Visualization http://bhuvan.nrsc.gov.in 3D Geographic Models Seamless Fly Through Indian Space Research Organisation Thematic Vectors
More informationA quick overview of geographic information systems (GIS) Uwe Deichmann, DECRG <udeichmann@worldbank.org>
A quick overview of geographic information systems (GIS) Uwe Deichmann, DECRG Why is GIS important? A very large share of all types of information has a spatial component ( 80
More informationPage 1 of 7 (document version 1)
Lecture 2 - Data exploration This lecture will cover: Attribute queries Spatial queries Basic spatial analyses: Buffering Voronoi tessellation Cost paths / surfaces Viewsheds Hydrological modelling Autocorrelation
More informationIntroduction to Imagery and Raster Data in ArcGIS
Esri International User Conference San Diego, California Technical Workshops July 25, 2012 Introduction to Imagery and Raster Data in ArcGIS Simon Woo slides Cody Benkelman - demos Overview of Presentation
More informationFinding GIS Data and Preparing it for Use
Finding_Data_Tutorial.Doc Page 1 of 19 Getting Ready for the Tutorial Sign Up for the GIS-L Listserv Finding GIS Data and Preparing it for Use The Yale University GIS-L Listserv is an internal University
More informationResearch Computing Building Blocks INFRASTRUCTURE FOR DATA AT PURDUE PRESTON SMITH, DIRECTOR OF RESEARCH SERVICES PSMITH@PURDUE.
Research Computing Building Blocks INFRASTRUCTURE FOR DATA AT PURDUE PRESTON SMITH, DIRECTOR OF RESEARCH SERVICES PSMITH@PURDUE.EDU Discussion http://www.geartechnology.com/blog/wp- content/uploads/2015/11/opportunity-
More informationENVI Services Engine: Scientific Data Analysis and Image Processing for the Cloud
ENVI Services Engine: Scientific Data Analysis and Image Processing for the Cloud Bill Okubo, Greg Terrie, Amanda O Connor, Patrick Collins, Kevin Lausten The information contained in this document pertains
More informationSWAMP DATA MANAGEMENT PLAN
SWAMP DATA MANAGEMENT PLAN Station Template Surface Water Ambient Monitoring Program August 27, 2013 TABLE OF CONTENTS C. Data Entry...3 D. Field Data Entry...3 1. PROGRAMS NEEDED FOR SWAMP DATA ENTRY
More informationEvaluation of surface runoff conditions. scanner in an intensive apple orchard
Evaluation of surface runoff conditions by high resolution terrestrial laser scanner in an intensive apple orchard János Tamás 1, Péter Riczu 1, Attila Nagy 1, Éva Lehoczky 2 1 Faculty of Agricultural
More informationGeo Spatial Service. the Indiana Flood GRID. A People/Sensor/Machine Workflow Orchestration. Neil Devadasan, Yu Ma, Jun Wang, Jun Ji,
Geo Spatial Service Oriented Architecture of Oriented Architecture of the Indiana Flood GRID A People/Sensor/Machine Workflow Orchestration Neil Devadasan, Yu Ma, Jun Wang, Jun Ji, M l Pi Marlon Pierce,
More informationHYDROLOGY OF THE TRANSBOUNDARY DRIN RIVER BASIN
University of Texas at Austin GIS in Water Resources Instructor: Dr. David Maidment HYDROLOGY OF THE TRANSBOUNDARY DRIN RIVER BASIN Wikipedia Elisabeta Poci December, 2011 1 Table of Contents: 1. Introduction
More informationOn the CyberShARE site you will find this interpolated version (labeled SRTMv4_90m)
SRTM Data on Cyber-ShARE The Shuttle Radar Topography Mission (SRTM) data collected by NASA represents the most up-to-date, globally collected topography data set of the Earth. It makes up the first globally
More informationSilviu Panica, Marian Neagul, Daniela Zaharie and Dana Petcu (Romania)
Silviu Panica, Marian Neagul, Daniela Zaharie and Dana Petcu (Romania) Outline Introduction EO challenges; EO and classical/cloud computing; EO Services The computing platform Cluster -> Grid -> Cloud
More informationRaster: The Other GIS Data
04-Raster_Tutorial_Arcgis_93.Doc Page 1 of 11 Raster: The Other GIS Data Objectives Understand the raster format and how it is used to model continuous geographic phenomena Understand how projections &
More informationCityGML goes to Broadway
CityGML goes to Broadway Thomas H. Kolbe, Barbara Burger, Berit Cantzler Chair of Geoinformatics thomas.kolbe@tum.de September 11, 2015 Photogrammetric Week 2015, Stuttgart The New York City Open Data
More informationSCIENCE-BASED GIS SOLUTIONS. www.earthanalytic.com
SCIENCE-BASED GIS SOLUTIONS www.earthanalytic.com Pipeline Routing, Site Selection, Cost Estimation and Risk Management Tools for Energy SmartFootprint is an extension to ArcGIS designed to assist planning,
More informationGIS Solutions for FTTx Design. David Nelson, GISP
GIS Solutions for FTTx Design David Nelson, GISP Telecom GIS Manager, Black & Veatch Agenda Intro to GIS Telecom GIS Vision GIS Strategy Project Execution Mobile Online Services Dashboards Client Deliverables
More informationIntroducing Web-Based Decision Tools for Watershed Management. http://www.epa.gov/ waterspace/
Introducing Web-Based Decision Tools for Watershed Management http://www.epa.gov/ waterspace/ Locally Led Watershed Management Bringing together scientific information Screening alternatives Writing, evaluating,
More informationEnterprise GIS Solutions to GIS Data Dissemination
Enterprise GIS Solutions to GIS Data Dissemination ESRI International User Conference July 13 17, 2009 Wendy M. Turner Senior GIS Engineer & Program Manager Freedom Consulting Group, LLC Building the Enterprise
More informationVisualize your World. Democratization i of Geographic Data
Visualize your World Democratization i of Geographic Data Session Agenda Google GEO Solutions - More than just a Map Enabling our Government Customers- Examples Summary & Invite to Learn More About Google
More informationBig Data and Analytics: A Conceptual Overview. Mike Park Erik Hoel
Big Data and Analytics: A Conceptual Overview Mike Park Erik Hoel In this technical workshop This presentation is for anyone that uses ArcGIS and is interested in analyzing large amounts of data We will
More informationMetadata for Big River Watershed Geologic and Geomorphic Data
Metadata for Big River Watershed Geologic and Geomorphic Data Metadata are descriptions and information regarding compiled data. This appendix contains the metadata that describes the compiled data used
More informationBuilding Platform as a Service for Scientific Applications
Building Platform as a Service for Scientific Applications Moustafa AbdelBaky moustafa@cac.rutgers.edu Rutgers Discovery Informa=cs Ins=tute (RDI 2 ) The NSF Cloud and Autonomic Compu=ng Center Department
More information3D Model of the City Using LiDAR and Visualization of Flood in Three-Dimension
3D Model of the City Using LiDAR and Visualization of Flood in Three-Dimension R.Queen Suraajini, Department of Civil Engineering, College of Engineering Guindy, Anna University, India, suraa12@gmail.com
More informationDescription of Simandou Archaeological Potential Model. 13A.1 Overview
13A Description of Simandou Archaeological Potential Model 13A.1 Overview The most accurate and reliable way of establishing archaeological baseline conditions in an area is by conventional methods of
More information