Processing LiDAR data: FUSION Tutorial
|
|
|
- Adela Hamilton
- 6 years ago
- Views:
Transcription
1 Processing LiDAR data: FUSION Tutorial Douglas Bolton Nicholas Coops Piotr Tompalski, Chris Mulverhill Department of Forest Resource Management Forest Sciences Centre Main Mall. University of British Columbia. 1
2 Tutorial Objectives Open/Visualize LiDAR data in Fusion Derive surface products (2 m) - Digital elevation model (DEM) - Digital surface model (DSM) - Canopy height model (CHM) Extract LiDAR data for plots - Calculate LiDAR metrics for plots Calculate gridded LiDAR metrics Learn to work with multiple LiDAR tiles Apply models in R to predict forest attributes - We won t develop models here, just apply existing models 2
3 What s on the usb drive Tutorial_March_8_2017 folder - Material we will work through together today Additional_lab_exercises folder - Written labs that expand upon the material we cover - Includes lab documents and data 3
4 Lidar data collection Discrete return LiDAR data collected in 2010 over the Malcolm Knapp Research Forest - Collected by McElhanney Consulting Services Ltd using a ALS50-II Leica system - Average of 3.1 pulses/m2 - Multiple returns per pulse - Aerial photos were collected on the same flight Malcolm Knapp Research Forest - UBC Research Forest - Located in the Coast Western Hemlock biogeoclimatic subzone near Maple Ridge, BC 4
5 Tutorial Objectives Open/Visualize LiDAR data in Fusion Derive surface products (2 m) - Digital elevation model (DEM) - Digital surface model (DSM) - Canopy height model (CHM) Extract LiDAR data for plots - Calculate LiDAR metrics for plots Calculate gridded LiDAR metrics Learn to work with multiple LiDAR tiles Apply models in R to predict forest attributes - We won t develop models here, just apply existing models 5
6 Digital Elevation Model (DEM) Step 1: Extract probable ground returns (Groundfilter) Step 2: Create surface from ground returns (GridSurfaceCreate) Lidar visualizations produced with FUSION/LDA software USDA Forest Service 6
7 Creating A Digital Surface Model (DSM) Create a digital surface model (CanopyModel) Lidar visualizations produced with FUSION/LDA software USDA Forest Service 7
8 Creating A Digital Surface Model (DSM) Create a digital surface model (CanopyModel) Lidar visualizations produced with FUSION/LDA software USDA Forest Service 8
9 Creating A Digital Surface Model (DSM) Create a digital surface model (CanopyModel) Lidar visualizations produced with FUSION/LDA software USDA Forest Service 9
10 Creating A Digital Surface Model (DSM) Visualization for Malcolm Knapp Research Forest 10
11 Creating A Digital Surface Model (DSM) Visualization for Malcolm Knapp Research Forest Lidar visualizations produced with FUSION/LDA software USDA Forest Service 11
12 Derive heights in relation to the surface Point elevation Surface elevation Height (m) Point height above surface Lidar visualizations produced with FUSION/LDA software USDA Forest Service 12
13 Derive heights in relation to the surface Height (m) Lidar visualizations produced with FUSION/LDA software USDA Forest Service 13
14 Derive heights in relation to the surface Height (m) m 35.9 m 34.4 m 35.6 m 40.7 m 34.8 m Lidar visualizations produced with FUSION/LDA software USDA Forest Service 14
15 Plot level analysis Lidar Point Cloud for Alex Fraser Research Forest Extract LiDAR data for plots (Clipdata) Lidar visualizations produced with FUSION/LDA software USDA Forest Service 15
16 Plot level analysis Lidar Point Cloud for Alex Fraser Research Forest Extract LiDAR data for plots (Clipdata) 16
17 Height (m) Calculating Lidar metrics Calculate Cover Metrics % 16% Cover Above 2 m Calculate metrics (Cloudmetrics) 5 0 High Volume Site Low Volume Site 17
18 Height (m) Calculating Lidar metrics Calculate Height Metrics m 15.6 m Mean Height Calculate metrics (Cloudmetrics) 5 0 High Volume Site Low Volume Site 18
19 Height (m) Calculating Lidar metrics Calculate Height Metrics m 21 m 75 th Percentile Calculate metrics (Cloudmetrics) 5 0 High Volume Site Low Volume Site 19
20 Height (m) Calculating Lidar metrics Calculate Height Metrics m 29 m 95 th Percentile Calculate metrics (Cloudmetrics) 5 0 High Volume Site Low Volume Site 20
21 From metrics to attributes 21
22 Wall-to-wall estimates of forest attributes Step 1: Calculate gridded metrics Step 2: Apply Statistical model 22
Processing LiDAR data: Fusion tutorial
Processing LiDAR data: Fusion tutorial Douglas Bolton Rory Tooke Nicholas Coops University of British Columbia Tutorial Objectives Open/Visualize LiDAR data in Fusion Derive surface products (2 m) - Digital
LiDAR Data Processing:
LiDAR Data Processing: Concepts and Methods for LEFI Production Gordon W. Frazer GWF LiDAR Analytics Outline of Presentation Data pre-processing Data quality checking and options for repair Data post-processing
Best practices for generating forest inventory attributes from airborne laser scanning data using the area-based approach
1 Best practices for generating forest inventory attributes from airborne laser scanning data using the area-based approach Joanne White Research Scientist Canadian Forest Service CIF Best Practices Workshop
An Introduction to Lidar & Forestry May 2013
An Introduction to Lidar & Forestry May 2013 Introduction to Lidar & Forestry Lidar technology Derivatives from point clouds Applied to forestry Publish & Share Futures Lidar Light Detection And Ranging
Introduction to LiDAR Technology and Applications in Forest Management
Introduction to LiDAR Technology and Applications in Forest Management Presented by Rory Tooke, Douglas Bolton and Nicholas Coops Integrated Remote Sensing Studio Faculty of Forestry University of British
LiDAR-Maps. and More for. Engineers. TechTime New Mapping Tools for Transportation Engineering. Airborne LiDAR. Digital Cameras
LiDAR-Maps Airborne LiDAR and More for Digital Cameras Engineers and Their Applications Presenter: Azadeh Koohzare, Ph.D., P.Eng. Project Manager, Geodesy and Geomatics AKoohzare@mcelhanney.com 604-683-8521
Exercise 1: Introduction to LiDAR Point Cloud Data using the Fusion Software Package
Exercise 1: Introduction to LiDAR Point Cloud Data using the Fusion Software Package Christopher Crosby, San Diego Supercomputer Center / OpenTopography (Adapted from tutorial by Ian Madin, DOGAMI) Last
LiForest Software White paper. TRGS, 3070 M St., Merced, 93610, Phone , LiForest
0 LiForest LiForest is a platform to manipulate large LiDAR point clouds and extract useful information specifically for forest applications. It integrates a variety of advanced LiDAR processing algorithms
EXERCISE 4 Calculate Lidar Metrics
EXERCISE 4 Calculate Lidar Metrics Objective Last Updated: April, 2016 Version: Fusion 3.50 There are three parts to this exercise. Part 1 describes the process to extract metrics from the fixed radius
LiDAR and its use for the enhanced forest inventory
LiDAR and its use for the enhanced forest inventory Richard Fournier Département de géomatique appliquée Workshop of the Canadian Institute of Forestry Corner Brook, Newfoundland, March 27 2013 LiDAR -
Lidar and GIS: Applications and Examples. Dan Hedges Clayton Crawford
Lidar and GIS: Applications and Examples Dan Hedges Clayton Crawford Outline Data structures, tools, and workflows Assessing lidar point coverage and sample density Creating raster DEMs and DSMs Data area
Lecture 11. LiDAR, RADAR
NRMT 2270, Photogrammetry/Remote Sensing Lecture 11 Calculating the Number of Photos and Flight Lines in a Photo Project LiDAR, RADAR Tomislav Sapic GIS Technologist Faculty of Natural Resources Management
FOR 474: Forest Inventory. Plot Level Metrics: Getting at Canopy Heights. Plot Level Metrics: What is the Point Cloud Anyway?
FOR 474: Forest Inventory Plot Level Metrics from Lidar Heights Other Plot Measures Sources of Error Readings: See Website Plot Level Metrics: Getting at Canopy Heights Heights are an Implicit Output of
Automated Feature Extraction from Aerial Imagery for Forestry Projects
Automated Feature Extraction from Aerial Imagery for Forestry Projects Esri UC 2015 UC706 Tuesday July 21 Bart Matthews - Photogrammetrist US Forest Service Southwestern Region Brad Weigle Sr. Program
Volumetric Calculations. Sample Data
Volumetric Calculations Sample Data Stockpiles of industrial materials are often difficult to measure accurately. LiDAR offers a fast and extremely accurate solution for taking periodical inventory of
N.J.P.L.S. An Introduction to LiDAR Concepts and Applications
N.J.P.L.S. An Introduction to LiDAR Concepts and Applications Presentation Outline LIDAR Data Capture Advantages of Lidar Technology Basics Intensity and Multiple Returns Lidar Accuracy Airborne Laser
FUSION/LDV: Software for LIDAR Data Analysis and Visualization
United States Department of Agriculture Forest Service Pacific Northwest Research Station FUSION/LDV: Software for LIDAR Data Analysis and Visualization Robert J. McGaughey January 2018 FUSION Version
Tutorial (Intermediate level): Dense Cloud Classification and DTM generation with Agisoft PhotoScan Pro 1.1
Tutorial (Intermediate level): Dense Cloud Classification and DTM generation with Agisoft PhotoScan Pro 1.1 This tutorial illustrates how to perform dense point cloud classification in manual and automatic
Airborne LiDAR Data Acquisition for Forestry Applications. Mischa Hey WSI (Corvallis, OR)
Airborne LiDAR Data Acquisition for Forestry Applications Mischa Hey WSI (Corvallis, OR) WSI Services Corvallis, OR Airborne Mapping: Light Detection and Ranging (LiDAR) Thermal Infrared Imagery 4-Band
Plantation Resource Mapping using LiDAR
IFA Symposium Improving Plantation Productivity Mt Gambier, 12-14 May 2014 Field Day Tour Plantation Resource Mapping using LiDAR Christine Stone (NSW DPI) and Jan Rombouts (ForestrySA) Airborne Laser
MODELLING FOREST CANOPY USING AIRBORNE LIDAR DATA
MODELLING FOREST CANOPY USING AIRBORNE LIDAR DATA Jihn-Fa JAN (Taiwan) Associate Professor, Department of Land Economics National Chengchi University 64, Sec. 2, Chih-Nan Road, Taipei 116, Taiwan Telephone:
Municipal Projects in Cambridge Using a LiDAR Dataset. NEURISA Day 2012 Sturbridge, MA
Municipal Projects in Cambridge Using a LiDAR Dataset NEURISA Day 2012 Sturbridge, MA October 15, 2012 Jeff Amero, GIS Manager, City of Cambridge Presentation Overview Background on the LiDAR dataset Solar
Photogrammetry for forest inventory.
Photogrammetry for forest inventory. Marc Pierrot Deseilligny. IGN/ENSG, France. Jonathan Lisein. Ulg Gembloux Agro-Bio Tech, Belgium. 1- Photogrammetry 2- Application to forestry 3- Tools and proposed
2010 LiDAR Project. GIS User Group Meeting June 30, 2010
2010 LiDAR Project GIS User Group Meeting June 30, 2010 LiDAR = Light Detection and Ranging Technology that utilizes lasers to determine the distance to an object or surface Measures the time delay between
LiDAR Applications. Examples of LiDAR applications. forestry hydrology geology urban applications
LiDAR Applications Examples of LiDAR applications forestry hydrology geology urban applications 1 Forestry applications canopy heights individual tree and crown mapping estimated DBH and leaf area index
Investigating the Structural Condition of Individual Trees using LiDAR Metrics
Investigating the Structural Condition of Individual Trees using LiDAR Metrics Jon Murray 1, George Alan Blackburn 1, Duncan Whyatt 1, Christopher Edwards 2. 1 Lancaster Environment Centre, Lancaster University,
OPTIONAL EXERCISE 3 Creating a Fusion Project Part C
OPTIONAL EXERCISE 3 Creating a Fusion Project Part C Objective Last Updated: April, 2016 Version: Fusion 3.50 In this exercise you will continue building the Fusion project data by creating a Canopy Surface
PROJECT NUMBER Y081155
ENHANCING CONVENTIONAL FOREST INVENTORY HYPERSPECTRAL AND LIDAR REMOTELY SENSED DATA PROJECT NUMBER Y081155 Prepared for: FIA-FSP Prepared by: Brian J. Calder B.Sc. Timberline Natural Resource Group Ltd.
National Science Foundation Engineering Research Center. Bingcai Zhang BAE Systems San Diego, CA
Bingcai Zhang BAE Systems San Diego, CA 92127 Bingcai.zhang@BAESystems.com Introduction It is a trivial task for a five-year-old child to recognize and name an object such as a car, house or building.
LiDAR Engineering and Design Applications. Sample Data
LiDAR Engineering and Design Applications Sample Data High density LiDAR will return points on any visible part of a structure. Modeling of Existing Structures 2 The distance between any two positions
EXERCISE 4: CALCULATE LIDAR METRICS
Exercise Objec ves There are three parts to this exercise. Part 1 describes the process to extract metrics from the fixed radius plot subsets created in the last exercise. Part 2 describes how to extract
FUSION/LDV: Software for LIDAR Data Analysis and Visualization
United States Department of Agriculture Forest Service Pacific Northwest Research Station FUSION/LDV: Software for LIDAR Data Analysis and Visualization Robert J. McGaughey April 2008 The Forest Service
Using Lidar and ArcGIS to Predict Forest Inventory Variables
Using Lidar and ArcGIS to Predict Forest Inventory Variables Dr. Kevin S. Lim kevin@limgeomatics.com P.O. Box 45089, 680 Eagleson Road Ottawa, Ontario, K2M 2G0, Canada Tel.: 613-686-5735 Fax: 613-822-5145
EXERCISE 2: GETTING STARTED WITH FUSION
Document Updated: May, 2010 Fusion v2.8 Introduction In this exercise, you ll be using the fully-prepared example data to explore the basics of FUSION. Prerequisites Successful completion of Exercise 1
FUSION/LDV: Software for LIDAR Data Analysis and Visualization
United States Department of Agriculture Forest Service Pacific Northwest Research Station FUSION/LDV: Software for LIDAR Data Analysis and Visualization Robert J. McGaughey January 2014 FUSION Version
Lesson 7: Gathering Stand-Level Information
Lesson 7: Gathering Stand-Level Information Review and Introduction In previous lessons, you learned how to establish and take measurements in sample plots. Now we will begin to transition toward using
Integration of airborne LiDAR and hyperspectral remote sensing data to support the Vegetation Resources Inventory and sustainable forest management
Integration of airborne LiDAR and hyperspectral remote sensing data to support the Vegetation Resources Inventory and sustainable forest management Executive Summary This project has addressed a number
Introduction to LiDAR
Introduction to LiDAR Our goals here are to introduce you to LiDAR data. LiDAR data is becoming common, provides ground, building, and vegetation heights at high accuracy and detail, and is available statewide.
Vegetation height maps derived from digital elevation models the next innovation in the production of orienteering maps?
Vegetation height maps derived from digital elevation models the next innovation in the production of orienteering maps? Development of Orienteering Maps. 1. Revolution 20 years ago: Digital Cartography
An Introduction to Using Lidar with ArcGIS and 3D Analyst
FedGIS Conference February 24 25, 2016 Washington, DC An Introduction to Using Lidar with ArcGIS and 3D Analyst Jim Michel Outline Lidar Intro Lidar Management Las files Laz, zlas, conversion tools Las
Alberta's LiDAR Experience Lessons Learned Cosmin Tansanu
Alberta's LiDAR Experience Lessons Learned Cosmin Tansanu Analysis Forester Alberta Environment and Sustainable Resource Development We are mandated to provide environmental leadership. We need to push
Airborne Laser Scanning: Remote Sensing with LiDAR
Airborne Laser Scanning: Remote Sensing with LiDAR ALS / LIDAR OUTLINE Laser remote sensing background Basic components of an ALS/LIDAR system Two distinct families of ALS systems Waveform Discrete Return
Converting Lidar Data to Shapefile and Raster File Format for Analysis and Viewing
Converting Lidar Data to Shapefile and Raster File Format for Analysis and Viewing 1. Create a File Based Geodatabase Open ArcCatolog and right click under contents and click New and File Geodatabase where
CLASSIFICATION OF NONPHOTOGRAPHIC REMOTE SENSORS
CLASSIFICATION OF NONPHOTOGRAPHIC REMOTE SENSORS PASSIVE ACTIVE DIGITAL CAMERA THERMAL (e.g. TIMS) VIDEO CAMERA MULTI- SPECTRAL SCANNERS VISIBLE & NIR MICROWAVE HYPERSPECTRAL (e.g. AVIRIS) SLAR Real Aperture
LiDAR Applications in Surveying and Engineering
LiDAR Applications in Surveying and Engineering 2013 NC GIS Conference Raleigh, NC Frank A. Alex Rankin, III PE, PLS What is LiDAR? Light Detection and Ranging Analogous to RADAR, but using a different
Third Rock from the Sun
Geodesy 101 AHD LiDAR Best Practice The Mystery of LiDAR Best Practice Glenn Jones SSSi GIS in the Coastal Environment Batemans Bay November 9, 2010 Light Detection and Ranging (LiDAR) Basic principles
A new flexible software tool for rapidly counting individual trees using point cloud data from lidar or photogrammetry
A new flexible software tool for rapidly counting individual trees using point cloud data from lidar or photogrammetry Mitch Bryson 1, Lee Stamm 2, Amrit Kathuria 3 and Christine Stone 3 1 Australian Centre
INTEGRATION OF TREE DATABASE DERIVED FROM SATELLITE IMAGERY AND LIDAR POINT CLOUD DATA
INTEGRATION OF TREE DATABASE DERIVED FROM SATELLITE IMAGERY AND LIDAR POINT CLOUD DATA S. C. Liew 1, X. Huang 1, E. S. Lin 2, C. Shi 1, A. T. K. Yee 2, A. Tandon 2 1 Centre for Remote Imaging, Sensing
UTILIZACIÓN DE DATOS LIDAR Y SU INTEGRACIÓN CON SISTEMAS DE INFORMACIÓN GEOGRÁFICA
UTILIZACIÓN DE DATOS LIDAR Y SU INTEGRACIÓN CON SISTEMAS DE INFORMACIÓN GEOGRÁFICA Aurelio Castro Cesar Piovanetti Geographic Mapping Technologies Corp. (GMT) Consultores en GIS info@gmtgis.com Geographic
Leica - Airborne Digital Sensors (ADS80, ALS60) Update / News in the context of Remote Sensing applications
Luzern, Switzerland, acquired with GSD=5 cm, 2008. Leica - Airborne Digital Sensors (ADS80, ALS60) Update / News in the context of Remote Sensing applications Arthur Rohrbach, Sensor Sales Dir Europe,
LIDAR an Introduction and Overview
LIDAR an Introduction and Overview Rooster Rock State Park & Crown Point. Oregon DOGAMI Lidar Project Presented by Keith Marcoe GEOG581, Fall 2007. Portland State University. Light Detection And Ranging
Multi-temporal LIDAR data for forestry an approach to investigate timber yield changes
Multi-temporal LIDAR data for forestry an approach to investigate timber yield changes UniSA Stefan Peters, Jixue Liu, David Bruce, Jiuyong Li ForestrySA Jim O Hehir, Mary-Anne Larkin, Anthony Hay 1 Why
LiDAR data pre-processing for Ghanaian forests biomass estimation. Arbonaut, REDD+ Unit, Joensuu, Finland
LiDAR data pre-processing for Ghanaian forests biomass estimation Arbonaut, REDD+ Unit, Joensuu, Finland Airborne Laser Scanning principle Objectives of the research Prepare the laser scanning data for
Forest Structure and Bird Nesting Habitat Derived from LiDAR Data
Forest Structure and Bird Nesting Habitat Derived from LiDAR Data Doug Newcomb USFWS, Dr. William Hargrove at the USDA Eastern Forest Threat Center, Forrest Hoffman, and Dr. Jitendra Kumar with Oak Ridge
Lidar Technical Report
Lidar Technical Report Oregon Department of Forestry Sites Presented to: Oregon Department of Forestry 2600 State Street, Building E Salem, OR 97310 Submitted by: 3410 West 11st Ave. Eugene, OR 97402 April
Alaska Department of Transportation Roads to Resources Project LiDAR & Imagery Quality Assurance Report Juneau Access South Corridor
Alaska Department of Transportation Roads to Resources Project LiDAR & Imagery Quality Assurance Report Juneau Access South Corridor Written by Rick Guritz Alaska Satellite Facility Nov. 24, 2015 Contents
High resolution survey and orthophoto project of the Dosso-Gaya region in the Republic of Niger. by Tim Leary, Woolpert Inc.
High resolution survey and orthophoto project of the Dosso-Gaya region in the Republic of Niger by Tim Leary, Woolpert Inc. Geospatial Solutions Photogrammetry & Remote Sensing LiDAR Professional Surveying
EXERCISE 7: CREATING A FUSION PROJECT PART 2
Document Updated: January, 2009 Fusion ver2.65 Important: leave the symbol set to none. Introduction This exercise continues with the creation of a Fusion project. In the last exercise you: examined the
APPENDIX E2. Vernal Pool Watershed Mapping
APPENDIX E2 Vernal Pool Watershed Mapping MEMORANDUM To: U.S. Fish and Wildlife Service From: Tyler Friesen, Dudek Subject: SSHCP Vernal Pool Watershed Analysis Using LIDAR Data Date: February 6, 2014
Analysis of Airborne Laser Scanning Data with Regional Shape Descriptors
Analysis of Airborne Laser Scanning Data with Regional Shape Descriptors Zehra Shah 1, Stewart He 2, Peter Tittmann 3 & Nina Amenta 4 1 Computer Science, UC Davis - zshah@ucdavis.edu 2 Computer Science,
ANALYSIS OF MIDDLE PULSE DATA BY LIDAR IN THE FOREST
ANALYSIS OF MIDDLE PULSE DATA BY LIDAR IN THE FOREST Katsutoshi. OKAZAKI a, *, Noritsuna. FUJII a a Asia Air Survey Co.Ltd,, 1-2-2, Manpukuji, Asao-ku, Kawasaki, Kanagawa, Japan - (kts.okazaki, nor.fujii)@ajiko.co.jp
Improving wide-area DEMs through data fusion - chances and limits
Improving wide-area DEMs through data fusion - chances and limits Konrad Schindler Photogrammetry and Remote Sensing, ETH Zürich How to get a DEM for your job? for small projects (or rich people) contract
LiDAR Derived Contours
LiDAR Derived Contours Final Delivery June 10, 2009 Prepared for: Prepared by: Metro 600 NE Grand Avenue Portland, OR 97232 Watershed Sciences, Inc. 529 SW Third Avenue, Suite 300 Portland, OR 97204 Metro
FOR 274: Surfaces from Lidar. Lidar DEMs: Understanding the Returns. Lidar DEMs: Understanding the Returns
FOR 274: Surfaces from Lidar LiDAR for DEMs The Main Principal Common Methods Limitations Readings: See Website Lidar DEMs: Understanding the Returns The laser pulse travel can travel through trees before
GEO 6895: Airborne laser scanning - workflow, applications, value. Christian Hoffmann
GEO 6895: Airborne laser scanning - workflow, applications, value. Christian Hoffmann Agenda Why LiDAR? The value of an end-to-end workflow The Trimble AX-Series Data processing & modelling Information
OPTIONAL EXERCISE 2 Creating a Fusion Project Part B
OPTIONAL EXERCISE 2 Creating a Fusion Project Part B Objective Last Updated: April, 2016 Version: Fusion 3.50 This exercise continues with the creation of a Fusion project. In the last exercise you: examined
Digital Elevation Models (DEM)
Digital Elevation Models (DEM) Digital representation of the terrain surface also referred to as Digital Terrain Models (DTM) Digital Elevation Models (DEM) How has relief depiction changed with digital
Airborne discrete return LiDAR data was collected on September 3-4, 2007 by
SUPPLEMENTAL MATERIAL 2 LiDAR Specifications Airborne discrete return LiDAR data was collected on September 3-4, 2007 by Watershed Sciences, Inc. (Corvallis, Oregon USA). LiDAR was collected approximately
LIDAR Based Delineation in Forest Stands
LIDAR Based Delineation in Forest Stands Alicia A. Sullivan A thesis submitted in partial fulfillment of the requirements for the degree of Master of Science University of Washington 2008 Program Authorized
Lidar Sensors, Today & Tomorrow. Christian Sevcik RIEGL Laser Measurement Systems
Lidar Sensors, Today & Tomorrow Christian Sevcik RIEGL Laser Measurement Systems o o o o Online Waveform technology Stand alone operation no field computer required Remote control through wireless network
Multisensoral UAV-Based Reference Measurements for Forestry Applications
Multisensoral UAV-Based Reference Measurements for Forestry Applications Research Manager D.Sc. Anttoni Jaakkola Centre of Excellence in Laser Scanning Research 2 Outline UAV applications Reference level
MODULE 1 BASIC LIDAR TECHNIQUES
MODULE SCENARIO One of the first tasks a geographic information systems (GIS) department using lidar data should perform is to check the quality of the data delivered by the data provider. The department
Voxelised metrics for forest inventory. Grant Pearse Phenotype Cluster Group Meeting April 2018
Voxelised metrics for forest inventory Grant Pearse Phenotype Cluster Group Meeting April 2018 Overview Voxelisation for forest inventory Background on LiDAR metric analysis Voxelisation what and why?
LIDAR and Terrain Models: In 3D!
LIDAR and Terrain Models: In 3D! Stuart.green@teagasc.ie http://www.esri.com/library/whitepapers/pdfs/lidar-analysis-forestry.pdf http://www.csc.noaa.gov/digitalcoast/_/pdf/refinement_of_topographic_lidar_to_create_a_bare_e
Esri International User Conference. July San Diego Convention Center. Lidar Solutions. Clayton Crawford
Esri International User Conference July 23 27 San Diego Convention Center Lidar Solutions Clayton Crawford Outline Data structures, tools, and workflows Assessing lidar point coverage and sample density
Coastal Survey of archaeological sites using drones
Coastal Survey of archaeological sites using drones In Poseidon s Realm XXI Underwater archaeology - interdisciplinary approaches and technical innovations Dimitrios Skarlatos, Savvidou Eleni Photogrammetric
PIXEL VS OBJECT-BASED IMAGE CLASSIFICATION TECHNIQUES FOR LIDAR INTENSITY DATA
PIXEL VS OBJECT-BASED IMAGE CLASSIFICATION TECHNIQUES FOR LIDAR INTENSITY DATA Nagwa El-Ashmawy ab, Ahmed Shaker a, *, Wai Yeung Yan a a Ryerson University, Civil Engineering Department, Toronto, Canada
LiDAR forest inventory with single-tree, double- and single-phase procedures
LiDAR forest inventory with single-tree, double- and single-phase procedures Robert C. Parker and David L. Evans Department of Forestry, Forest and Wildlife Research Center, Mississippi State University,
Exercise 4: Extracting Information from DEMs in ArcMap
Exercise 4: Extracting Information from DEMs in ArcMap Introduction This exercise covers sample activities for extracting information from DEMs in ArcMap. Topics include point and profile queries and surface
Using Oracle/SDE to Teach ArcGIS in a Windows Active Directory Environment
Using Oracle/SDE to Teach ArcGIS in a Windows Active Directory Environment Jerry Maedel, Michael J. Meitner, Ionut Aron Collaborative for Advanced Landscape Planning Department of Forest Resources Management
Using rasters for interpolation and visualization in GMS
v. 10.3 GMS 10.3 Tutorial Using rasters for interpolation and visualization in GMS Objectives This tutorial teaches how GMS uses rasters to support all kinds of digital elevation models and how rasters
Laser scanners with echo digitization for full waveform analysis
Laser scanners with echo digitization for full waveform analysis Peter Rieger, Andreas Ullrich, Rainer Reichert RIEGL Laser Measurement Systems GmbH DI Peter Rieger Project Management RIEGL LMS GmbH A-3580
Concept Mode Tutorial 5 Two Storey House (CDN)
Concept Mode Tutorial 5 Two Storey House (CDN) The Sizer file (.wwa) created from going through this tutorial can be downloaded by clicking here. 5.1 Introduction In this tutorial you will create and design
BRIEF EXAMPLES OF PRACTICAL USES OF LIDAR
BRIEF EXAMPLES OF PRACTICAL USES OF LIDAR PURDUE ROAD SCHOOL - 3/9/2016 CHRIS MORSE USDA-NRCS, STATE GIS COORDINATOR LIDAR/DEM SOURCE DATES LiDAR and its derivatives (DEMs) have a collection date for data
LIDAR Workshop IPSRS Commission 1
LIDAR Workshop IPSRS Commission 1 2-Jul-2007, Ljubliana, Slovenia Arthur Rohrbach, Leica Geosystems, Switzerland Presentation topics 1. Basics of Airborne LIDAR Sensing Technology 2. Typical Applications
Files Used in this Tutorial
Generate Point Clouds and DSM Tutorial This tutorial shows how to generate point clouds and a digital surface model (DSM) from IKONOS satellite stereo imagery. You will view the resulting point clouds
Daniel Edward Jensen. Master of Science. Forest Management and Biology. Department of Renewable Resources University of Alberta
Identifying and Assessing the Yield Implications of Forest Canopy Gaps in Forest Management Using Full Feature LiDAR by Daniel Edward Jensen A thesis submitted in partial fulfillment of the requirements
A QUALITY ASSESSMENT OF AIRBORNE LASER SCANNER DATA
A QUALITY ASSESSMENT OF AIRBORNE LASER SCANNER DATA E. Ahokas, H. Kaartinen, J. Hyyppä Finnish Geodetic Institute, Geodeetinrinne 2, 243 Masala, Finland Eero.Ahokas@fgi.fi KEYWORDS: LIDAR, accuracy, quality,
WMS 9.1 Tutorial GSSHA WMS Basics Watershed Delineation using DEMs and 2D Grid Generation Delineate a watershed and create a GSSHA model from a DEM
v. 9.1 WMS 9.1 Tutorial GSSHA WMS Basics Watershed Delineation using DEMs and 2D Grid Generation Delineate a watershed and create a GSSHA model from a DEM Objectives Learn how to delineate a watershed
A COMPARISON OF FOREST CANOPY MODELS DERIVED FROM LIDAR AND INSAR DATA IN A PACIFIC NORTHWEST CONIFER FOREST
A COMPARISON OF FOREST CANOPY MODELS DERIVED FROM LIDAR AND INSAR DATA IN A PACIFIC NORTHWEST CONIFER FOREST Hans-Erik Andersen a, *, Robert J. McGaughey b, Ward W. Carson b, Stephen E. Reutebuch b, Bryan
Bill Cusworth CREATING ORIENTEERING BASEMAPS USING LIDAR DATA
Bill Cusworth CREATING ORIENTEERING BASEMAPS USING LIDAR DATA 1 BILL CUSWORTH Started Orienteering in 1992 in Seattle with Cascade Orienteering Club. Started making maps in 1993 and became more serious
Overview. 1. Aerial LiDAR in Wisconsin (20 minutes) 2. Demonstration of data in CAD (30 minutes) 3. High Density LiDAR (20 minutes)
Overview 1. Aerial LiDAR in Wisconsin (20 minutes) 2. Demonstration of data in CAD (30 minutes) 3. High Density LiDAR (20 minutes) 4. Aerial lidar technology advancements (15 minutes) 5. Q & A 1. Aerial
Lecture 4: Digital Elevation Models
Lecture 4: Digital Elevation Models GEOG413/613 Dr. Anthony Jjumba 1 Digital Terrain Modeling Terms: DEM, DTM, DTEM, DSM, DHM not synonyms. The concepts they illustrate are different Digital Terrain Modeling
QUANTIFICATION OF AVAILABLE SOLAR IRRADIATION ON ROOFTOPS USING ORTHOPHOTOGRAPH AND LIDAR DATA
August 11 13, QUANTIFICATION OF AVAILABLE SOLAR IRRADIATION ON ROOFTOPS USING ORTHOPHOTOGRAPH AND LIDAR DATA Chanikarn Yimprayoon 1, Mojtaba Navvab 1 1 University of Michigan, Ann Arbor, MI ABSTRACT Residential
ENY-C2005 Geoinformation in Environmental Modeling Lecture 4b: Laser scanning
1 ENY-C2005 Geoinformation in Environmental Modeling Lecture 4b: Laser scanning Petri Rönnholm Aalto University 2 Learning objectives To recognize applications of laser scanning To understand principles
NATIONWIDE POINT CLOUDS AND 3D GEO- INFORMATION: CREATION AND MAINTENANCE GEORGE VOSSELMAN
NATIONWIDE POINT CLOUDS AND 3D GEO- INFORMATION: CREATION AND MAINTENANCE GEORGE VOSSELMAN OVERVIEW National point clouds Airborne laser scanning in the Netherlands Quality control Developments in lidar
Digital Photogrammetric System. Version 6.3 USER MANUAL. LIDAR Data processing
Digital Photogrammetric System Version 6.3 USER MANUAL Table of Contents 1. About... 3 2. Import of LIDAR data... 3 3. Load LIDAR data window... 4 4. LIDAR data loading and displaying... 6 5. Splitting
2017 PROGRAM OVERVIEW. Geospatial Intelligence for Better Outcomes
2017 PROGRAM OVERVIEW Geospatial Intelligence for Better Outcomes NICB SOLUTION : GEOSPATIAL INTELLIGENCE CENTER Key Program Areas 1. CAT / Disaster Response 2. National Imagery Program 3. Digital Delivery
WMS 10.1 Tutorial GSSHA WMS Basics Watershed Delineation using DEMs and 2D Grid Generation Delineate a watershed and create a GSSHA model from a DEM
v. 10.1 WMS 10.1 Tutorial GSSHA WMS Basics Watershed Delineation using DEMs and 2D Grid Generation Delineate a watershed and create a GSSHA model from a DEM Objectives Learn how to delineate a watershed
GeoEarthScope NoCAL San Andreas System LiDAR pre computed DEM tutorial
GeoEarthScope NoCAL San Andreas System LiDAR pre computed DEM tutorial J Ramón Arrowsmith Chris Crosby School of Earth and Space Exploration Arizona State University ramon.arrowsmith@asu.edu http://lidar.asu.edu