Washtenaw County 2008 LiDAR Project Overview Nate Arnold, GIS Developer Washtenaw County Support Services 734-222-6792.

Slides:



Advertisements
Similar presentations
Reality Check: Processing LiDAR Data A story of data, more data and some more data.
Advertisements

Remote Sensing GIS/Remote Sensing Workshop June 6, 2013.
September 5, 2013 Tyler Jones Research Assistant Dept. of Geology & Geography Auburn University.
LiDAR Overview What LiDAR is Light Detection And Ranging... highly accurate topographic data... Active Sensing System - Uses its own energy source,
Applied Geographics, Inc./Tennessee Regional Forums/Enhanced Elevation/August 2011Slide 1 Tennessee Business Planning Technical Overview on Enhanced Elevation.
Fort Bragg Cantonment Area Background The USGS is working with the U.S. Army at Fort Bragg to develop a Storm Water Pollution Prevention Plan (SWP3). The.
A Fully Automated Approach to Classifying Urban Land Use and Cover from LiDAR, Multi-spectral Imagery, and Ancillary Data Jason Parent Qian Lei University.
Brian S. Keiling Program Head – Forest Management Dabney S.Lancaster Community College.
Land Use Change and Effects on Water Quality in the Lake Tahoe Basin: Applications of GIS Christian Raumann Research and Technology Team USGS Western Geographic.
Upper Brushy Creek Flood Study – Flood mapping and management Rainfall depths were derived using USGS SIR , Atlas of Depth Duration Frequency.
Use of GIS Analysis in Historic Preservation Disaster Response.
Modeling Digital Remote Sensing Presented by Rob Snyder.
NOAA Coastal Management Fellowship: Coastal Hazards Analysis & Management Project (CHAMP) Coastal Hazards Analysis & Management Program (CHAMP)
Remote Sensing in Modern Military Operations. Outline ► Background ► Former cruise missile technology ► Current cruise missile technology ► GIS on the.
Session 131 Hazard Mapping and Modeling Supporting Emergency Response Operations using GIS and Modeling.
Airborne LIDAR The Technology Slides adapted from a talk given by Mike Renslow - Spencer B. Gross, Inc. Frank L.Scarpace Professor Environmental Remote.
GIS In Maryland Ken Miller Director, Watershed Information Services.
Comparison of LIDAR Derived Data to Traditional Photogrammetric Mapping David Veneziano Dr. Reginald Souleyrette Dr. Shauna Hallmark GIS-T 2002 August.
An Introduction to Lidar Mark E. Meade, PE, PLS, CP Photo Science, Inc.
Adams County Lidar Project
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.
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.
Map Modernization Management Support Best Practices Project - FEMA State of Idaho Idaho Department of Water Resources Boise, Idaho November 2008.
APPLICATION OF LIDAR IN FLOODPLAIN MAPPING Imane MRINI GIS in Water Resources University of Texas at Austin Source. Optech,Inc.
11 th Annual Z/I Camera Conference February 2007 Post Hurricane Katrina & Rita 6-inch DMC Digital Orthophotography.
An Object-oriented Classification Approach for Analyzing and Characterizing Urban Landscape at the Parcel Level Weiqi Zhou, Austin Troy& Morgan Grove University.
Minnesota Elevation Mapping Project Metro Area Collect 1/13/2011 Tim Loesch Minnesota Department of Natural Resources.
Morphum Environmental Ltd Environmental Engineers and Consultants
Winnebago County Winnebago County GIS Winnebago County GIS& Winnebago County Emergency Management Partnering for a Safer Community.
Hydro-enhancement of LiDAR Data to Support Floodplain Modeling 2011 ASFPM Annual Conference Louisville, Kentucky May 18, 2011 Mark W. Ellard, PE, CFM Associate,
Hurricane Mitch – October 1998
How to Read a Map: Notes on Map Analysis Entry #12.
Karst Topography – Developing a Sinkhole Inventory to Protect Groundwater Quality Presenters: Stacey Jarboe and John-Paul Brashear Stantec Consulting Services.
 The textbook GIS methods section: Provides basic understanding of GIS concepts What is RS? How can we use RS for GIS, when, where and why?
1 Coordinator’s Report VGIN Advisory Board Dan Widner Coordinator, Virginia Geographic Information Network January 7,
James River in Richmond, Virginia looking upriver from the Robert E. Lee bridge. Belle Isle is on the right, November What is happening in this.
U.S. Department of the Interior U.S. Geological Survey Elevation Data Product Needs and Requirements Larry Sugarbaker Senior Advisor - Geography.
© TAFE MECAT 2008 Chapter 6(b) Where & how we take measurements.
Mapping Tile Lines with Remote Sensing and GIS Jim Giglierano Formerly with Iowa DNR - Geological and Water Survey Iowa State University
LiDAR Contour Options Randy Mayden, VP Business Development
Károly Róbert College The GREEN College. Remote sensing applications in disaster management Tibor Bíró dean Károly Róbert College Faculty of Natural Resources.
LIDAR Technology Everett Hinkley USDA Forest Service Geospatial Management Office Prepared for Congressman Allan Mollahan's Office.
Aerial Surveying & Mapping Section Florida Department of TRANSPORTATION Surveying & Mapping Office Brett C. Wood, PSM Aerial Mapping Manager Florida Department.
LIDAR – Light Detection And Ranging San Diego State University.
Wetlands Investigation Utilizing GIS and Remote Sensing Technology for Lucas County, Ohio: a hybrid analysis. Nathan Torbick Spring 2003 Update on current.
Remote Sensing 13/10/2009 Dr. Ahmad BinTouq URL: GEO.
LIght Detection And Ranging LIDAR gathers data through laser light striking the surfaces of the earth and measuring the time of pulse return A LIDAR system.
When you begin a project, a reference data layer is placed on the map first. This initial layer(s) is called the base map. There are different types of.
© 2006, The Sanborn Map Company, Inc. Privileged and confidential information. Distribution or copying prohibited unless approved in writing. 1 CAPCOG.
SWFWMD LiDAR Specifications – 18 April 2008 LiDAR Specifications at the SWFWMD Ekaterina Fitos & Al Karlin.
Flood Inundation Mapping Program
Types of Maps Chapter 3, Section 3
Citation: Moskal., L. M. and D. M. Styers, Land use/land cover (LULC) from high-resolution near infrared aerial imagery: costs and applications.
SGM as an Affordable Alternative to LiDAR
Introduction to Aerial Stereo Photographs
Models of the Earth Section 3 Section 3: Types of Maps Preview Key Ideas Topographic Maps Topographic Maps and Contour Lines Index Contour, Contour Interval,
Contour Mapping from LiDAR Presented by: Dave Bullington Surdex Corporation St. Louis, MO
In complete sentences, describe three (3) ways you have used maps.
Field Drainage Technology LiDAR John Nowatzki Extension Ag Machine Systems Specialist.
Field Drainage Technology LiDAR John Nowatzki Extension Ag Machine Systems Specialist.
Development of a High-Resolution Flood Inundation Model of Charles City, Iowa Nathan Young Associate Research Engineer Larry Weber.
Integrating LiDAR Intensity and Elevation Data for Terrain Characterization in a Forested Area Cheng Wang and Nancy F. Glenn IEEE GEOSCIENCE AND REMOTE.
Remote Sensing Dr. Ahmad BinTouq GEO440: GIS for Urban & Regional Planning.
Evacuation Procedures City Council October 20, 2015.
Ontario’s Current LiDAR Acquisition Initiative
Learning Objectives I can compare photographs with other types of remote sensing images. I can describe the uses & importance of the global positioning.
Lidar at the TRCA Applications and Uses for a Conservation Authority
Understanding LIDAR Technology
How(UAVs) are used in Disaster Management
Drain office uses for LiDAR
Presentation transcript:

Washtenaw County 2008 LiDAR Project Overview Nate Arnold, GIS Developer Washtenaw County Support Services

What is LiDAR Light Detection and Ranging (LiDAR) is a remote sensing system used to collect high-resolution elevation data. A LiDAR sensor is mounted on-board an aircraft. During the flight, the LiDAR sensor pulses a narrow, high frequency laser beam toward the earth. The LiDAR sensor records the time difference between the emission of a laser beam and the return of the reflected laser signal to the aircraft. The data is provided as a set of elevation points, an intensity image and an image classified into land cover categories

Washtenaw County Project Collect LiDAR data Fall Sq Mile County plus ½ mile buffer around all sides 1 meter point spacing / 30 % side lap Classified by land cover type (building, vegetation, bare earth, water, etc.) Create 2’ Contours Hydro enforced Create Building Footprints Buildings 10’x 10’ or greater Attributed with building height

Project Partners The 2008 LiDAR collection is a cooperative project between the: US Geological Survey (USGS) National Resource Conservation Services (NRCS) Wayne County Monroe County City of Ann Arbor Washtenaw County

Applications of LiDAR Data Flood inundation studies Disaster recovery analysis Line of sight analysis Vegetation studies (street tree mapping, agricultural land studies, etc.) Drainage and runoff analysis Floodplain delineation Change detection for assessment purposes Transportation analysis Improved orthophoto accuracy (LiDAR surface used in photo correction) Some examples of these applications are outlined below:

The Raw LiDAR Data will be classified by land use category to provide a clear picture of the County’s Urban, Suburban, and Rural landscape. Blue = Buildings Green = Vegetation Red = Bare Earth White = Impervious Surface

Flood Inundation Studies With LiDAR elevation data, EMD personnel can study the effects of heavy rainfall by calculating “what if” scenarios. In this example, the analyst looked at what would happen to Ohio Stadium if the Olentangy river rose 10 feet.

Data can be examined as a cross section for runoff calculations and flood recovery analysis

First responders can utilize the LiDAR information to visualize the effects of flood events on emergency response and evacuation routes

In addition, emergency personnel can visualize water depth across the affected area.

LiDAR data can also be used to model the effect of dam or levee breaks.

Using LiDAR data and building footprints, EMD staff in Volusia County, Florida were able to examine the effect of a tornado strike and calculate the amount of debris removal needed. Event Recovery

Tornado Path Path digitized from post-event aerial imagery

Pre-Event LiDAR data

Post-Event analysis

Tornado path extrapolated on LiDAR base data Volume of debris calculated from LiDAR data analysis was used to estimate remedial costs (trucks, equipment, etc.)

Users can create 3 dimensional fly-throughs to better visualize project sites for a variety of applications 3-D Visualization

Detailed building extrusions can be created to show building facets and enhance analysis and visualization 3-D Visualization

Line of Sight Analysis Viewshed from ground levelViewshed from elevated level - Event Planning- Civic Planning - Tactical Operations- Security Cameras

Line of Sight Analysis in Cleveland, Ohio Area visible from Key Bank Building in Cleveland (Blue)

Area visible from cheap seats at Brown Stadium (Yellow)

Area visible from Brown Stadium and Key Bank (Pink)

Washtenaw County Examples 800 MHz tower locations Determine highest elevation on given site parcel Determine necessary height to overcome obstacles and select sites based on line of sight Outdoor warning sirens Incorporate viewshed analysis Possible to create “sound contours” to model dB at given location ALOHA/CAMEO Contaminant vapors may follow topography Plume models may be combined with LiDAR-generated surface

Project Budget Product Amount BudgetedActualVariance Lidar Project$250,000$500,000*($250,000) *1m Raw LiDAR Data, Bldg footprints, and 2’ contours Total Variance($250,000) Project Partners: Savings From Regional Effort $ 14,500 City of Ann Arbor Contribution $ 30,000 Variance w/Partners($205,500)

Project Area LiDAR collection will include the entirety of Washtenaw, Wayne and Monroe Counties Monroe County: $100,000 (funded through UASI) Wayne County: $50,870 Washtenaw County: $145,500* 3 meter data will be public domain and available through the USGS. 1 meter data will be owned by the individual counties. Each participating county will have access to the data for the entire project area. * Cost for LiDAR collection only. Cost for building footprints and contours are included in the overall project budget outline below.

Project Timeline September - October 2008 – Funding agreement signed with USGS and project partners November 2008 – Data collection begins January 2009 – 1/3 of project cost due March 2009 –Delivery of Raw LiDAR data to project partners, 1/3 of project cost due June 2009 – Contour and Building Footprint delivery to partners, Remaining 1/3 of project costs due

Questions Contact: Nate Arnold, GIS Developer Washtenaw County Support Services