A LiDAR Processing Toolkit

Slides:



Advertisements
Similar presentations
Jim Thompson, Eric Anderson, & Rob Austin NC State University, Department of Soil Science Jim Thompson, Eric Anderson, & Rob Austin NC State University,
Advertisements

Tom Craven Matt Simon Anne Trainor.  Construct a RHESSys ecohydrologic model for Sandhills Region.
LiDAR Overview What LiDAR is Light Detection And Ranging... highly accurate topographic data... Active Sensing System - Uses its own energy source,
Esri UC 2014 | Technical Workshop | ArcGIS 3D Analyst - Lidar Applications Clayton Crawford.
Applied Geographics, Inc./Tennessee Regional Forums/Enhanced Elevation/August 2011Slide 1 Tennessee Business Planning Technical Overview on Enhanced Elevation.
Using GIS to Display Well Bore Stratigraphy and Analytical Data in 3D April 9 th, 2009 Graham S. Hayes, Ph.D., GISP Wendel Duchscherer Architects & Engineers.
Optimizing Laser Scanner Locations using Viewshed Analysis MEA 592 Final Project November 20,2009 Jeff Smith.
3D and Surface/Terrain Analysis
FOR 474: Forest Inventory Plot Level Metrics from Lidar Heights Other Plot Measures Sources of Error Readings: See Website.
Raster Data. The Raster Data Model The Raster Data Model is used to model spatial phenomena that vary continuously over a surface and that do not have.
Lecture by Austin Troy © 2005 Lecture 13: Introduction to Raster Spatial Analysis Using GIS-- Introduction to GIS Lecture Notes by Austin Troy, University.
Maps as Numbers Lecture 3 Introduction to GISs Geography 176A Department of Geography, UCSB Summer 06, Session B.
Spatial Analyst Raster vs. Vector. Spatial Analyst Extension.
Map Analysis with Raster Datasets Francisco Olivera, Ph.D., P.E. Department of Civil Engineering Texas A&M University.
Airborne LIDAR The Technology Slides adapted from a talk given by Mike Renslow - Spencer B. Gross, Inc. Frank L.Scarpace Professor Environmental Remote.
Spatial Analysis with Raster Datasets - 2 Francisco Olivera, Ph.D., P.E. Srikanth Koka Department of Civil Engineering Texas A&M University.
Esri International User Conference | San Diego, CA Technical Workshops | Lidar Solutions in ArcGIS Clayton Crawford July 2011.
Processing Terrain Data in the River Proximity Arc Hydro River Workshop December 1, 2010 Erin Atkinson, PE, CFM, GISP Halff Associates, Inc.
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.
Habitat Analysis in ArcGIS Use of Spatial Analysis to characterize used resources Thomas Bonnot
Fundamentals of GIS Lecture Materials by Austin Troy except where noted © 2008 Lecture 13: Introduction to Raster Spatial Analysis Using GIS-- By.
APPLICATION OF LIDAR IN FLOODPLAIN MAPPING Imane MRINI GIS in Water Resources University of Texas at Austin Source. Optech,Inc.
LiDAR Data Collection Status Northwest Florida Water Management District.
ESRM 250 & CFR 520: Introduction to GIS © Phil Hurvitz, KEEP THIS TEXT BOX this slide includes some ESRI fonts. when you save this presentation,
GIS2: Geo-processing and Metadata Treg Christopher.
Automated H&H and Advanced Terrain Processing
Terrain Mapping DEMs Contours Slope Aspect Hillshades.
Lidar and GIS Applications and Examples
Advanced Topics in GIS. Natural Hazards Landslide Susceptibility.
Introduction to Raster Spatial Analysis Using GIS-- Introduction to GIS Raster Query Map Calculation Zonal statistics Terrain functions Viewshed.
.LAS files (Log ASCII Standard) Not useable directly in ArcGIS A single X-Y position can have multiple Z values Must be converted to MultiPoint file.
3D VIEWS OF TREES AND FOREST SAMPLE PLOTS Christopher Legg The spatial distribution of trees in forest sample plots can be analysed statistically and using.
CFR 250/590 Introduction to GIS, Autumn D Analysis & Surface Modeling © Phil Hurvitz, vector_analysis_1.ppt 1  Overview 3D Analysis &
Advanced GIS Using ESRI ArcGIS 9.3 3D Analyst part 2.
Fundamentals of GIS Lecture Materials by Austin Troy except where noted © 2008 Lecture 13: Introduction to Raster Spatial Analysis Using GIS-- By.
LIDAR – Light Detection And Ranging San Diego State University.
GIS Data Structures How do we represent the world in a GIS database?
Raster Analysis. Learning Objectives Develop an understanding of the principles underlying lab 4 Introduce raster operations and functions Show how raster.
Spatial Analyst/Digital Soil Mapping Workshop Terrain Analysis Applications Using Digital Elevation Data Dwain Daniels Central National Technology Support.
LiDAR Remote Sensing of Forest Vegetation Ryan Anderson, Bruce Cook, and Paul Bolstad University of Minnesota.
Creating Digital Elevation Models. What is a DEM? Raster files with specific elevation values at specific grid point locations.
Beyond Spectral and Spatial data: Exploring other domains of information: 4 GEOG3010 Remote Sensing and Image Processing Lewis RSU.
LiDAR (Light Detection And Ranging) is a technology that can be used as a topographic survey for many projects, including wetland creation. Flying LiDAR.
Management and Use of LiDAR-Derived Information Elizabeth Cook USDA-NRCS Columbia, MO.
LIDAR Originally Delivered to AIMS as: –LAS files –Intensity Images.
Module 3 Impacts to Sensitive Habitats Coastal Applications of ArcGIS.
Using LiDAR Data to Automatically Delineate Sinkholes in Southeastern Minnesota Nate Green and Jacob Hartle Forest and Natural Resource Management 3262.
LIDAR. Light detection and ranging  Produces high resolution, accurate elevation information.
Lidar Point Clouds for Developing Canopy Height Models (CHM) for Bankhead National Forest Plots By: Soraya Jean-Pierre REU Program at Alabama A & M University.
ANALYSIS OF AIRBORNE LIDAR DATA FOR ROAD INVENTORY CLAY WOODS 4/25/2016 NIRDOSH GAIRE CEE 6190 YI HE ZHAOCAI LIU.
Surface Analysis Tools. Lesson 7 overview  Topographic data  Sources  Uses  Topographic analysis  Hillshade  Visibility  Contours  Slope, aspect,
Copyright - Spatial Systems Associates, Inc
Best Practices for Managing and Serving Lidar and Elevation Data Cody Benkelman.
Using ArcGIS to Design Wetland Restorations By Scott Ralston, USFWS Windom, MN Available for Download from: SKRalston.com/USFWS/
LIDAR.
Chapter 8 Raster Analysis.
Lidar and GIS: Applications and Examples
DIGITAL ELEVATION MODEL (DEM), ITS DERIVATIVES & APPLICATIONS
Using LiDAR Data within Smallworld
Utilizing ArcScene to Visualize Catch Basin Contributing Areas
Terrain Represent the “Surface” of the Earth
Light Detection & Ranging (LiDAR) – Enhanced Forest Inventory
Lidar Image Processing
Washington Geological Survey
Review- vector analyses
Introduction to Geographic Information Science
Warm-up slide Jan : end of The World: Dubai island development sinks back into sea - financial crisis.
Raster Data Analysis.
Geoprocessing Sample Tools for Lidar Data Management
Geoprocessing Sample Tools for Lidar
Presentation transcript:

A LiDAR Processing Toolkit An automated and centralized approach to LiDAR processing and DEM creation.

Introduction What is LiDAR? Light Detection and Ranging LiDAR systems are Active and use their own source of energy (laser) rather than natural reflections (i.e. photo). Ranges or measurements are based on the time difference between laser emission and reflection

Introduction The Research Project Department of Defense’s Strategic Environmental Research and Development Program (SERDP) Mapping Habitat Connectivity for Multiple Rare, Threatened, and Endangered Species on and Around Military Installations. LiDAR used for DEM creation and mapping vegetation canopy structure

Problems with LiDAR LiDAR contains extremely high volumes of data; prohibitive to use. There is a need to create an easy way to explore LiDAR data. Relate field measures and field knowledge to LiDAR-derived measures of vegetation canopy. This would allow the user to easily create forest structure maps (could be tailored for specific applications).

All Data Vegetation Removed

Data Availability SERDP North Carolina Floodplain Mapping Program First and Last Return (Bare Earth and Extracted Features) 1.0 m DEM (in .xyzi format) North Carolina Floodplain Mapping Program Bare Earth (avg. 5m spot spacing) for TIN 20 Ft DEM, 50 Ft. DEM in asci format

Example of a DEM derived from LiDAR on Hillshade in the Fort Brag Area.

Objective: An efficient way to process LiDAR Develop a toolbar or GUI that will streamline the processing of LiDAR text data Currently there is no way to automate the asci to grid command in Arc. Provide tools to perform simple raster calculator operations, create contours, clip DEMs as well as spatial analysis like hillshade, slope, etc.

LiDAR Text File DEM Grid to Polygon SINKS SLOPE Potential ASPECT HILLSHADE ASPECT Salamander Habitat Potential Wetlands 30 cm Contours Grid to Polygon