DISTRIBUTION OF LIDAR DATA VIA THE INTERNET Michael Hearne and Andrew Meredith Technology Planning and Management Corporation Coastal Remote Sensing Program.

Slides:



Advertisements
Similar presentations
Dynamic Digital Elevation Model DDEM NSF RII Track 2 Annual Meeting May 29, 2012.
Advertisements

SANITARY SEWER EXFILTRATION & INFILTRATION RISK ASSESSMENT Meredith S. Moore Penn State MGIS Program Advisor: Dr. Barry Evans GEOG 596A, Fall 2014.
The Seamless GIS Basemap Project Louisiana Department of Transportation and Development November 10, 2011.
National Ocean Service Budget Update for the NOAA Hydrographic Services Review Panel Glenn Boledovich, Chief NOS Policy, Planning and Analysis Division.
Brian S. Keiling Program Head – Forest Management Dabney S.Lancaster Community College.
Matthew Wight Pennsylvania State University - Master of Geographic Information Systems - GEOG 596A – Fall 2014 Enhancing Coastal Conservation Planning.
Bioinformatics GIS Applications Anatoly Petrov.
NOAA Coastal Management Fellowship: Coastal Hazards Analysis & Management Project (CHAMP) Coastal Hazards Analysis & Management Program (CHAMP)
Welcome to EDINA Digimap Digimap is an EDINA service offering online access to a range of spatial data. It is authenticated using Athens and is available.
Session 131 Hazard Mapping and Modeling Supporting Emergency Response Operations using GIS and Modeling.
CSDGM: Content Standard for Digital Geospatial Metadata February 7, 2006 Geog 458: Map Sources and Errors.
SEA LEVEL RISE: A California Perspective Julie Thomas Coastal Data Information Program Southern California Ocean Observing System Scripps Institution of.
Feedback on the New Datums 2015 Geospatial Summit April 13 to 14, 2015 North Carolina Geodetic Survey Gary W. Thompson.
Data Acquisition Lecture 8. Data Sources  Data Transfer  Getting data from the internet and importing  Data Collection  One of the most expensive.
Preliminary Flood Insurance Rate Maps. What is a Flood Insurance Rate Map (FIRM) and how do I use it?* A FIRM is a map created by the NFIP for floodplain.
U.S./European Partnerships in Coastal Atlases and Coastal/Ocean Informatics Coastal Zone 2007 – Portland, Oregon National Coastal Zone Management Community.
Finding An Ideal Ski Resort Location GIS Group Project: Meredith Faust Dana French Kalyna Malm.
UNDERSTANDING LIDAR LIGHT DETECTION AND RANGING LIDAR is a remote sensing technique that can measure the distance to objects on and above the ground surface.
Panel: Strategies for CyberGIS Partner Engagement.
OCEAN SAFETY Presented by: Ocean Safety and Lifeguard Services Division.
VDATUM: the Vertical Datum Transformation Tool
APPLICATION OF LIDAR IN FLOODPLAIN MAPPING Imane MRINI GIS in Water Resources University of Texas at Austin Source. Optech,Inc.
Mapping and GIS1 Implementation of Grid technology in GIS/Remote sensing Nov 21, 2006.
Barry Eakins, Jeff Danielson John Brock, Michael Sutherland, and Sue McLean Creating a framework for integrated U.S. digital elevation models 1.University.
Metadata Understanding the Value and Importance of Proper Data Documentation Exercise 2 Reading a Metadata File Exercise 3 Using the Workbook Exercise.
David Webb- VWCC. LIDAR, LiDAR, LIDaR, lidar and LADAR(laser altimetry). Light detection and ranging Laser Imaging, Detection and Ranging Combining the.
, Data for Disaster Planning, Response, Management and Awareness ASDC Introduction The Atmospheric Science Data Center (ASDC) at NASA Langley Research.
Coastal Water Quality Remote Sensing Welcome Dr. Jeff Payne Deputy Director NOAA Coastal Services Center October 7, 2003.
Introduction to Remote Sensing. Outline What is remote sensing? The electromagnetic spectrum (EMS) The four resolutions Image Classification Incorporation.
(Images from NOAA web site). How to use satellite data ?
Coastal GeoTools ’05, March 7, 2005 Coastal GeoTools ’05 Myrtle Beach, SC March 7, 2005 FGDC Marine and Coastal Spatial Data Subcommittee.
OVERVIEW GIS AN APPLICATION NATURAL RESOURCE By: Mangapul P.Tambunan Department of Geography Faculty of Mathematics and Natural Sciences University of.
Water Quality Data, Maps, and Graphs Over the Web · Chemical concentrations in water, sediment, and aquatic organism tissues.
Building the Digital Coast. Priority Coastal Issues Land use planning (growth management) Coastal conservation Hazards (flooding/inundation/storm surge)
Enabling Access to High-Resolution LiDAR Topography through Cyberinfrastructure-Based Data Distribution and Processing Christopher J. Crosby, J Ramón Arrowsmith.
Modeling coastal flooding in urbanized lowlands: a multi- dimensional high-resolution approach Brett F. Sanders, Professor Timu Gallien, Ph.D. Student.
AUTOMATING THE TERASCAN IMAGE PROCESS Mentor: Keisha Wilkins Brandi R. Brehon Jameson D. Gibbs.
U.S. Department of the Interior U.S. Geological Survey Access to MODIS Land Data Products Through the Land Processes DAAC John Dwyer and Carolyn Gacke,
Introduction to GIS. GIS Definitions A map connected to a database A computerized data base management system for capture, storage, retrieval, analysis,
Where to find LiDAR: Online Data Resources.
Office of Coast Survey Using Partnerships to Improve NOAA’s Storm Surge Products and Forecasts Jesse C. Feyen Storm Surge Roadmap Portfolio Manager National.
Preserved Digital Content: Value to Public Policy Decision Making Now and in the Future NC Geospatial Data Archiving Project (NCGDAP) North Carolina State.
1 A Sample of NCDDC's GCOOS-Related Data Management Activities Julie Bosch NOAA/ National Coastal Data Development Center GCOOS DMAC Committee Meeting.
Metadata Understanding the Value and Importance of Proper Data Documentation Exercise 2 Reading a Metadata File Exercise 3 Using the Workbook Exercise.
U.S. Department of the Interior U.S. Geological Survey The National Map Mark L. DeMulder Director, National Geospatial Program.
ECoastal: Tools for Coastal Structure Analysis Rose Dopsovic GIS Developer Mobile District, Spatial Data Branch.
Building an OpenNSPECT Database for Your Watershed Shan Burkhalter and Dave Eslinger National Oceanic and Atmospheric Administration (NOAA) Office for.
INTRODUCTION TO GIS  Used to describe computer facilities which are used to handle data referenced to the spatial domain.  Has the ability to inter-
The Integration of Bathymetry, Topography, and Shoreline and the Vertical Datum Transformations Behind it Charting and Mapping the Land-Sea Interface.
SWFWMD LiDAR Specifications – 18 April 2008 LiDAR Specifications at the SWFWMD Ekaterina Fitos & Al Karlin.
1 CALIPSO Search and Sub-setting Website Quick Tutorial.
GE 3128: Geographical Research Methods Mr. Idrissa Y. H. Assistant Lecturer In Geography Department of Social Sciences State University of Zanzibar Friday22.
From open data sources to transparent knowledge-based management and policy Seppo Rekolainen Finnish Environment Institute - SYKE.
Barrow Area Spatial Data Infrastructure A collaborative effort of the Barrow Arctic Science Consortium Digital Working Group Funding for this effort has.
Application of NASA ESE Data and Tools to Particulate Air Quality Management A proposal to NASA Earth Science REASoN Solicitation CAN-02-OES-01 REASoN:
Corn Yield Comparison Between EPIC-View Simulated Yield And Observed Yield Monitor Data by Chad M. Boshart Oklahoma State University.
Field Drainage Technology LiDAR John Nowatzki Extension Ag Machine Systems Specialist.
Field Drainage Technology LiDAR John Nowatzki Extension Ag Machine Systems Specialist.
NOAA’s Perspective On A National Lidar Initiative Dr. Kirk Waters NOAA Ocean Service February 15, 2007.
Module 3 Impacts to Sensitive Habitats Coastal Applications of ArcGIS.
ECoastal Training USACE Coastal CoP Meeting and Workshop Sorry for the delay. I was double booked this morning. The eCoastal workshop will begin at 8:30.
Illustrating NOAA’s Geospatial Role in Resilient Coastal Zones Joseph Klimavicz, NOAA CIO and Director of High Performance Computing and Communications.
Understanding the Value and Importance of Proper Data Documentation 5-1 At the conclusion of this module the participant will be able to List the seven.
ECoastal Training USACE Coastal CoP Meeting and Workshop eCoastal in a Nutshell: An Introduction to the eCoastal Program & Custom Applications Rose Dopsovic.
A LiDAR Processing Toolkit
GEOGRAPHICAL INFORMATION SYSTEM
INTRODUCTION TO GEOGRAPHICAL INFORMATION SYSTEM
Terrain Represent the “Surface” of the Earth
NOAA’s Nautical Charting Products and Services
Jenny Watts Coastal Process Scientist, Plymouth Coastal Observatory
Presentation transcript:

DISTRIBUTION OF LIDAR DATA VIA THE INTERNET Michael Hearne and Andrew Meredith Technology Planning and Management Corporation Coastal Remote Sensing Program NOAA Coastal Services Center Charleston, SC Abstract There are a large number of remotely sensed data sets in the public domain, but few of them are readily available or usable by the coastal resource management community. One of the goals of the NOAA Coastal Services Center is to take these data, remove the burden of data processing from the user, and create a more useful end product. LIDAR (LIght Detection and Ranging) is a technology that creates a promising, but difficult to use, data set. The Center has a vast quantity of high- resolution topographic LIDAR data for many of the beaches within the 48 contiguous U.S. states. To distribute this data to as many people with differing technological capabilities as possible, we developed the LIDAR DAta Retrieval Tool (LDART). LDART utilizes various web technologies that allow users to select data from specific areas and to define the final output product. The user can specify geographic projections, datums, and file formats. By providing this LIDAR data via the Internet, the Center aims to help coastal resource managers make environmentally sound, scientifically defensible policy decisions. What Is LIDAR? A remote sensing technology used to collect topographic data. Data collected via a partnership with NASA and the USGS, using an instrument called the Airborne Topographic Mapper. Data with a vertical accuracy of + 20 centimeters. What Is LDART? World Wide Web based LIDAR data selection tool created for: extracting data for a specific geographic area defining a high-resolution digital elevation data set Why Was It Created? A LIDAR data set of appreciable size contains hundreds of thousands of individual elevation measurements e.g., 320,000 individual measurements over a one-kilometer beach section. LDART was developed to remove the burden of data processing from the coastal manager,allowing them to: create a more usable data product than the raw x,y,z points easily incorporate this remote sensing data into a GIS create small, manageable data sets in a particular region of interest How Can I Define My LIDAR Data Set? The LDART User Interface allows user to define various options (Table 1): Select geographic boundaries Select state and period of interest Select survey date(s) Conclusions Topographic LIDAR data is being used for determining regulatory setback lines, and for identifying habitat for endangered beach plants. It has also been used to quantify sand volume changes on beaches in North Carolina, assess impacts from El Niño on the U.S. West Coast, and investigate variations in shoreline response to different storm events. Anyone interested in working with a high- resolution digital elevation model in coastal regions should investigate this data source. LDART can deliver GIS-ready remotely sensed data to anyone with a browser and a reasonably fast connection to the Internet, and the addition of GeoTiff as an output format allows those who are not as knowledgeable about GIS or remote sensing see the types of information that LIDAR can provide. LDART can be found at the following web address: Step 1: Enter user information Step 2: Define spatial bounds and survey dates Step 3: Select product options Where Was Data Collected? Since the Fall of 1996, the Center in partnership with NASA and USGS has surveyed over 6100 kilometers of U.S. coastline. Table 2 shows the breakdown of LIDAR data collection by region and year. What Can I Do with the Data? All of the above images are shaded relief maps of LIDAR, created using ArcView® Spatial Analyst. In each case, blue represents lower elevations, while red represents high. From the left: Pillar Point, south of San Francisco, CA. Getting the Data Examples of binning methods Example of x,y,z point data Table 1. LDART parameters and options. Table 2. LIDAR survey coverage