Elevation Model Viewing service

Size: px
Start display at page:

Download "Elevation Model Viewing service"

Transcription

1 1(9) Date: Document version: Service's interface version : Product description: Elevation Model Viewing service

2 LANTMÄTERIET (9) List of contents 1 General description Contents Year collected Origin and quality Slope and Hillshading Geographic coverage Reference system Quality description Currency Positional accuracy Appearance and marking of data Information for printing List of changes... 9

3 LANTMÄTERIET (9) 1 General description The Elevation Model Viewing Service is one of Lantmäteriet s viewing services for maps and images. The service displays raster images of Sweden which visualise the form of the terrain in two different ways; slope and hillshading. The service also contains a metadata layer of information on origin and quality. The service fulfills the requirements from the European INSPIRE Directive. 1.1 Contents The Elevation Viewing Service presents the information in four separate layers: Year collected (Insamlingsår) Origin and quality (Ursprung och kvalitet) Slope (Terränglutning) Hillshading (Terrängskuggning) Year collected In the Year collected layer, elevation data collection areas are presented by the year in which the information was collected, colour-coded as per the image below. Example image Year collected, scale 1:1,100, Origin and quality In the Origin and quality layer, information on time, origin and method for collecting elevation data are presented as a text string for each defined area. In the scale range 1:2,000,000 to 1:480,000, the year of data collection and the area boundaries are presented. In the scale range 1:480,000 to 1:1, information regarding the date, original organisation and method of data collection is also presented. One example is LM-LS, where LM stands for Lantmäteriet and LS for laser scanning.

4 LANTMÄTERIET (9) Example image Origin and quality, scale 1:480, Slope and Hillshading The service contains two layers which visualise the form of the terrain in two different ways; slope and shading. The Slope layer reveals the calculated gradient in greyscale for each pixel. In the Hillshading layer, a raster image is presented in greyscale, produced by means of exposing an elevation model to a simulated light source. The layer has been produced from a terrain model in the form of a 1-metre resolution grid which has been created from laser points classified as ground. Calculation of the terrain model is achieved through linear interpolation in a TIN (Triangulated Irregular Network). osv. Rad 1 osv. Rad 2 xllcenter yllcenter Laser-scanned points Grid 1m Slope and Hillshading images Slope In the Slope layer, a raster image is presented in greyscale, where each pixel has been shaded in accordance with its calculated gradient value. The pixel values used in slope images normally come from the gradient value of each pixel calculated in degrees or per cent. It is important that the gradient is calculated using a method which retains details but which at the same time does not create too much noise in the image. In a slope image, it can be difficult to differentiate between elevations and depressions. As low gradient values are more common than high ones, the image is stretch in order to produce a higher level of contrast. The slope image in the Elevation Model Viewing Service has been stretched in accordance with the table below:

5 LANTMÄTERIET (9) Non-linear colour table for stretching images Greys cale Gradient in degrees Gradient in degrees Grey value In accordance with the table, pixels with no gradient (0 degrees) are allocated a grey value of 255, which corresponds to white. Pixels with a gradient of 5 degrees are allocated a grey value of 215, which is light-grey. This continues all the way to pixels with a 90-degree gradient, which receive a grey value of 0; black.

6 LANTMÄTERIET (9) Example image Slope, scale 1:150,000 Example image Slope, scale 1:5,000 Hillshading In the Hillshading layer, a raster image is presented in greyscale, produced by means of exposing a terrain model to a simulated light source. The appearance of the hillshading image is affected by a number of parameters which are set for the simulation. The parameters are azimuth, z factor and elevation (angle of sunlight). The azimuth is in degrees and determines from which point of the compass the light shall be cast on the terrain model. The z factor specifies how much the elevation values are to be exaggerated before the shading is produced and the elevation (angle of sunlight) specifies the angle between the horizon and the light source. The shading image in the Elevation Model Viewing Service is produced with parameter values in accordance with the below table: Azimuth NW (North-West) Z factor 2 Elevation (angle of sunlight) 45 degrees As shading images are affected by the angle from which the light is cast, elements such as shallow ditches may be more or less visible depending on their orientation. Hillshading is therefore better suited for visualisation than for analyses.

7 LANTMÄTERIET (9) Example image Hillshading, scale 1:150,000 Example image Hillshading, scale 1:5, Geographic coverage The Elevation Model Viewing Service covers all of Sweden, but as the nationwide elevation model is not yet finalised, the information in the service is incomplete. The model is available in this incomplete state and the information will be supplemented post-release. The progress of the elevation model is presented on Lantmäteriet s website. See under Elevation Data (Höjddata). 1.3 Reference system In plane: SWEREF 99 TM or one of the 12 local SWEREF 99 projection zones WGS84 ETRS89/LAEA Europe or LCC Europe ETRS89/TM32 or TM33, TM34, TM35 In height: RH2000 For information on RH 2000, refer to Infoblad 16, available from (Swedish only).

8 LANTMÄTERIET (9) 2 Quality description The information presented in the Elevation Model Viewing Service is produced using a terrain model as a basis and the terrain model in turn is based on elevation data from laser scanning of the ground. A good terrain model requires a good representation of ground points. In order to achieve the best ground representation, scanning needs to be done when as many laser pulses as possible have a chance of reaching the ground. The most suitable time for scanning is in the early spring before leafing or in the late autumn before the snow. The quality will however vary from one area to the next, depending on a number of different factors. These can be variation in terrain and vegetation and the time of scanning. In the visualised image of the terrain, it is possible to identify areas with a lower point density. In those areas the image will not contain information with the same sharpness of detail as other areas. For additional information on quality, refer to the product information for GSD- Elevation data, Grid 2+ on Currency The currency of the content in the raster images can be determined from the metadata layer in the service, where the time of collection and the origin are presented. The construction of a new national elevation model has been underway since The laser point cloud created during the laser scanning process captures a moment in time and will not be updated. There is no determined plan or level of ambition as yet with regard to updating the terrain model which is the basis of the raster images in the service. See also Information on the production of the new elevation data can be found under Elevation Data (Höjddata). 2.2 Positional accuracy Positional accuracy depends on the method of measurement used when collecting data. Positional accuracy can be said to describe how well a position corresponds to the actual position in the terrain for the object whose position has been determined. Positional accuracy is given in RMSE (Root Mean Square Error). In the Elevation Model Viewing Service RMSE in plane is an average of 0.3 m, where the point density is high and on flat well-defined surfaces. However, when using the elevation model it is important to always be aware of the fact that there may be large local variations.

9 LANTMÄTERIET (9) 3 Appearance and marking of data The information in the Year collected, Slope and Hillshading layers is shown in all scales. In the Origin and quality layer, a limit has been set on the marking of text. There, only the year is displayed for the scale range 1:2,000,000 to 1:480,000, and a more detailed text is presented for the scale range 1:480,000 to 1: Information for printing The maximum image size in the service is 4096*4096 pixels in order to facilitate the printing of map images in a larger paper format and/or in higher resolution. Users of the system are urged to only extract the largest image size as needed in connection with printing, in order to avoid performance issues. 4 List of changes The table specifies which version of the product description the change was made to. The date specified represents the day from which the change applies. Version Date Reason and change from previous version Synchronized with Swedish version Never published version

GSD-Elevation data, grid 50+ nh

GSD-Elevation data, grid 50+ nh 1(5) Date: Document version: 2016-12-01 1.1 Product description: GSD-Elevation data, grid 50+ nh LANTMÄTERIET 2016-12-01 2 (5) Table of contents 1 General description... 3 1.1 Contents... 3 1.2 Geographic

More information

GSD-Elevation data, Grid 2+

GSD-Elevation data, Grid 2+ Date: Document version: 2016-12-01 2.3 Product description: GSD-Elevation data, Grid 2+ LANTMÄTERIET 2016-12-01 2 (12) List of contents 1 General description... 3 1.1 Contents... 3 1.2 Geographic coverage...

More information

Terrain Analysis. Using QGIS and SAGA

Terrain Analysis. Using QGIS and SAGA Terrain Analysis Using QGIS and SAGA Tutorial ID: IGET_RS_010 This tutorial has been developed by BVIEER as part of the IGET web portal intended to provide easy access to geospatial education. This tutorial

More information

Tutorial 18: 3D and Spatial Analyst - Creating a TIN and Visual Analysis

Tutorial 18: 3D and Spatial Analyst - Creating a TIN and Visual Analysis Tutorial 18: 3D and Spatial Analyst - Creating a TIN and Visual Analysis Module content 18.1. Creating a TIN 18.2. Spatial Analyst Viewsheds, Slopes, Hillshades and Density. 18.1 Creating a TIN Sometimes

More information

High Resolution Digital Elevation Model (HRDEM) CanElevation Series Product Specifications. Edition

High Resolution Digital Elevation Model (HRDEM) CanElevation Series Product Specifications. Edition High Resolution Digital Elevation Model (HRDEM) CanElevation Series Product Specifications Edition 1.1 2017-08-17 Government of Canada Natural Resources Canada Telephone: +01-819-564-4857 / 1-800-661-2638

More information

Contents of Lecture. Surface (Terrain) Data Models. Terrain Surface Representation. Sampling in Surface Model DEM

Contents of Lecture. Surface (Terrain) Data Models. Terrain Surface Representation. Sampling in Surface Model DEM Lecture 13: Advanced Data Models: Terrain mapping and Analysis Contents of Lecture Surface Data Models DEM GRID Model TIN Model Visibility Analysis Geography 373 Spring, 2006 Changjoo Kim 11/29/2006 1

More information

The 3D Analyst extension extends ArcGIS to support surface modeling and 3- dimensional visualization. 3D Shape Files

The 3D Analyst extension extends ArcGIS to support surface modeling and 3- dimensional visualization. 3D Shape Files NRM 435 Spring 2016 ArcGIS 3D Analyst Page#1 of 9 0B3D Analyst Extension The 3D Analyst extension extends ArcGIS to support surface modeling and 3- dimensional visualization. 3D Shape Files Analogous to

More information

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 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

More information

GEOGRAPHIC INFORMATION SYSTEMS Lecture 25: 3D Analyst

GEOGRAPHIC INFORMATION SYSTEMS Lecture 25: 3D Analyst GEOGRAPHIC INFORMATION SYSTEMS Lecture 25: 3D Analyst 3D Analyst - 3D Analyst is an ArcGIS extension designed to work with TIN data (triangulated irregular network) - many of the tools in 3D Analyst also

More information

Digital Elevation Models (DEMs)

Digital Elevation Models (DEMs) Digital Elevation Models (DEM) - Terrain Models (DTM) How has relief depiction on maps and online changed with digital mapping/ GIS?.. Perhaps more than the other map elements / layers Digital Elevation

More information

DIGITAL SURFACE MODELS OF CITY AREAS BY VERY HIGH RESOLUTION SPACE IMAGERY

DIGITAL SURFACE MODELS OF CITY AREAS BY VERY HIGH RESOLUTION SPACE IMAGERY DIGITAL SURFACE MODELS OF CITY AREAS BY VERY HIGH RESOLUTION SPACE IMAGERY Jacobsen, K. University of Hannover, Institute of Photogrammetry and Geoinformation, Nienburger Str.1, D30167 Hannover phone +49

More information

Digital Elevation Model & Surface Analysis

Digital Elevation Model & Surface Analysis Topics: Digital Elevation Model & Surface Analysis 1. Introduction 2. Create raster DEM 3. Examine Lidar DEM 4. Deriving secondary surface products 5. Mapping contours 6. Viewshed Analysis 7. Extract elevation

More information

Applied Cartography and Introduction to GIS GEOG 2017 EL. Lecture-7 Chapters 13 and 14

Applied Cartography and Introduction to GIS GEOG 2017 EL. Lecture-7 Chapters 13 and 14 Applied Cartography and Introduction to GIS GEOG 2017 EL Lecture-7 Chapters 13 and 14 Data for Terrain Mapping and Analysis DEM (digital elevation model) and TIN (triangulated irregular network) are two

More information

Lecture 21 - Chapter 8 (Raster Analysis, part2)

Lecture 21 - Chapter 8 (Raster Analysis, part2) GEOL 452/552 - GIS for Geoscientists I Lecture 21 - Chapter 8 (Raster Analysis, part2) Today: Digital Elevation Models (DEMs), Topographic functions (surface analysis): slope, aspect hillshade, viewshed,

More information

Digital Elevation Models (DEM)

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

More information

Geographic Surfaces. David Tenenbaum EEOS 383 UMass Boston

Geographic Surfaces. David Tenenbaum EEOS 383 UMass Boston Geographic Surfaces Up to this point, we have talked about spatial data models that operate in two dimensions How about the rd dimension? Surface the continuous variation in space of a third dimension

More information

Hillshade Example. Custom product generation with elevation data

Hillshade Example. Custom product generation with elevation data Hillshade Example Custom product generation with elevation data Version 1.0 Mark Lucas 22 May 2005 Overview Performing Artificial Shading based on Elevation OSSIM and ImageLinker provide many capabilities

More information

Algorithms for GIS csci3225

Algorithms for GIS csci3225 Algorithms for GIS csci3225 Laura Toma Bowdoin College LiDAR data in GIS LiDAR (Light Detection and Ranging) Each point records: its geographic location x,y its height z the number of returns in its pulse

More information

NATIONWIDE POINT CLOUDS AND 3D GEO- INFORMATION: CREATION AND MAINTENANCE GEORGE VOSSELMAN

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

More information

Copyright The McGraw-Hill Companies, Inc. Permission required for reproduction or display.

Copyright The McGraw-Hill Companies, Inc. Permission required for reproduction or display. Chapter 13. TERRAIN MAPPING AND ANALYSIS 13.1 Data for Terrain Mapping and Analysis 13.1.1 DEM 13.1.2 TIN Box 13.1 Terrain Data Format 13.2 Terrain Mapping 13.2.1 Contouring 13.2.2 Vertical Profiling 13.2.3

More information

Raster GIS. Raster GIS 11/1/2015. The early years of GIS involved much debate on raster versus vector - advantages and disadvantages

Raster GIS. Raster GIS 11/1/2015. The early years of GIS involved much debate on raster versus vector - advantages and disadvantages Raster GIS Google Earth image (raster) with roads overlain (vector) Raster GIS The early years of GIS involved much debate on raster versus vector - advantages and disadvantages 1 Feb 21, 2010 MODIS satellite

More information

Files Used in this Tutorial

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

More information

TerraScan New Features

TerraScan New Features www.terrasolid.com TerraScan New Features Arttu Soininen 23.01.2018 Import Scanner Positions for Trajectories File / Import scanner positions menu command in Manage Trajectories reads scanner positions

More information

NEXTMap World 10 Digital Elevation Model

NEXTMap World 10 Digital Elevation Model NEXTMap Digital Elevation Model Intermap Technologies, Inc. 8310 South Valley Highway, Suite 400 Englewood, CO 80112 10012015 NEXTMap (top) provides an improvement in vertical accuracy and brings out greater

More information

Dijkstra's Algorithm

Dijkstra's Algorithm Shortest Path Algorithm Dijkstra's Algorithm To find the shortest path from the origin node to the destination node No matrix calculation Floyd s Algorithm To find all the shortest paths from the nodes

More information

DIGITAL HEIGHT MODELS BY CARTOSAT-1

DIGITAL HEIGHT MODELS BY CARTOSAT-1 DIGITAL HEIGHT MODELS BY CARTOSAT-1 K. Jacobsen Institute of Photogrammetry and Geoinformation Leibniz University Hannover, Germany jacobsen@ipi.uni-hannover.de KEY WORDS: high resolution space image,

More information

RASTER ANALYSIS GIS Analysis Winter 2016

RASTER ANALYSIS GIS Analysis Winter 2016 RASTER ANALYSIS GIS Analysis Winter 2016 Raster Data The Basics Raster Data Format Matrix of cells (pixels) organized into rows and columns (grid); each cell contains a value representing information.

More information

Light Detection and Ranging (LiDAR)

Light Detection and Ranging (LiDAR) Light Detection and Ranging (LiDAR) http://code.google.com/creative/radiohead/ Types of aerial sensors passive active 1 Active sensors for mapping terrain Radar transmits microwaves in pulses determines

More information

New Features in TerraScan. Arttu Soininen Software developer Terrasolid Ltd

New Features in TerraScan. Arttu Soininen Software developer Terrasolid Ltd New Features in TerraScan Arttu Soininen Software developer Terrasolid Ltd Default Coordinate Setup Default coordinate setup category added to Settings Defines coordinate setup to use if you open a design

More information

Accuracy Assessment of Ames Stereo Pipeline Derived DEMs Using a Weighted Spatial Dependence Model

Accuracy Assessment of Ames Stereo Pipeline Derived DEMs Using a Weighted Spatial Dependence Model Accuracy Assessment of Ames Stereo Pipeline Derived DEMs Using a Weighted Spatial Dependence Model Intro Problem Statement A successful lunar mission requires accurate, high resolution data products to

More information

L7 Raster Algorithms

L7 Raster Algorithms L7 Raster Algorithms NGEN6(TEK23) Algorithms in Geographical Information Systems by: Abdulghani Hasan, updated Nov 216 by Per-Ola Olsson Background Store and analyze the geographic information: Raster

More information

RASTER ANALYSIS GIS Analysis Fall 2013

RASTER ANALYSIS GIS Analysis Fall 2013 RASTER ANALYSIS GIS Analysis Fall 2013 Raster Data The Basics Raster Data Format Matrix of cells (pixels) organized into rows and columns (grid); each cell contains a value representing information. What

More information

Module: Rasters. 8.1 Lesson: Working with Raster Data Follow along: Loading Raster Data CHAPTER 8

Module: Rasters. 8.1 Lesson: Working with Raster Data Follow along: Loading Raster Data CHAPTER 8 CHAPTER 8 Module: Rasters We ve used rasters for digitizing before, but raster data can also be used directly. In this module, you ll see how it s done in QGIS. 8.1 Lesson: Working with Raster Data Raster

More information

GEO 465/565 - Lab 7 Working with GTOPO30 Data in ArcGIS 9

GEO 465/565 - Lab 7 Working with GTOPO30 Data in ArcGIS 9 GEO 465/565 - Lab 7 Working with GTOPO30 Data in ArcGIS 9 This lab explains how work with a Global 30-Arc-Second (GTOPO30) digital elevation model (DEM) from the U.S. Geological Survey. This dataset can

More information

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

Reality Check: Processing LiDAR Data. A story of data, more data and some more data Reality Check: Processing LiDAR Data A story of data, more data and some more data Red River of the North Red River of the North Red River of the North Red River of the North Introduction and Background

More information

START>PROGRAMS>ARCGIS>

START>PROGRAMS>ARCGIS> Department of Urban Studies and Planning Spring 2006 Department of Architecture Site and Urban Systems Planning 11.304J / 4.255J GIS EXERCISE 2 Objectives: To generate the following maps using ArcGIS Software:

More information

Advanced GIS Using GRASS to create SVF and LRM

Advanced GIS Using GRASS to create SVF and LRM Advanced GIS Using GRASS to create SVF and LRM Table of Contents Aims...2 Outcomes...2 How to use this booklet...2 Task 1 Creating a GRASS location from QGIS...3 Task 2 Changing the GRASS Region...8 Task

More information

Chapters 1 7: Overview

Chapters 1 7: Overview Chapters 1 7: Overview Photogrammetric mapping: introduction, applications, and tools GNSS/INS-assisted photogrammetric and LiDAR mapping LiDAR mapping: principles, applications, mathematical model, and

More information

MODULE 1 BASIC LIDAR TECHNIQUES

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

More information

Terrain Modeling and Mapping for Telecom Network Installation Using Scanning Technology. Maziana Muhamad

Terrain Modeling and Mapping for Telecom Network Installation Using Scanning Technology. Maziana Muhamad Terrain Modeling and Mapping for Telecom Network Installation Using Scanning Technology Maziana Muhamad Summarising LiDAR (Airborne Laser Scanning) LiDAR is a reliable survey technique, capable of: acquiring

More information

Vector Data Analysis Working with Topographic Data. Vector data analysis working with topographic data.

Vector Data Analysis Working with Topographic Data. Vector data analysis working with topographic data. Vector Data Analysis Working with Topographic Data Vector data analysis working with topographic data. 1 Triangulated Irregular Network Triangulated Irregular Network 2 Triangulated Irregular Networks

More information

Lidar and GIS: Applications and Examples. Dan Hedges Clayton Crawford

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

More information

HEURISTIC FILTERING AND 3D FEATURE EXTRACTION FROM LIDAR DATA

HEURISTIC FILTERING AND 3D FEATURE EXTRACTION FROM LIDAR DATA HEURISTIC FILTERING AND 3D FEATURE EXTRACTION FROM LIDAR DATA Abdullatif Alharthy, James Bethel School of Civil Engineering, Purdue University, 1284 Civil Engineering Building, West Lafayette, IN 47907

More information

I CALCULATIONS WITHIN AN ATTRIBUTE TABLE

I CALCULATIONS WITHIN AN ATTRIBUTE TABLE Geology & Geophysics REU GPS/GIS 1-day workshop handout #4: Working with data in ArcGIS You will create a raster DEM by interpolating contour data, create a shaded relief image, and pull data out of the

More information

NEXTMap World 30 Digital Surface Model

NEXTMap World 30 Digital Surface Model NEXTMap World 30 Digital Surface Model Intermap Technologies, Inc. 8310 South Valley Highway, Suite 400 Englewood, CO 80112 083013v3 NEXTMap World 30 (top) provides an improvement in vertical accuracy

More information

GISC9312- Geospatial Visualization

GISC9312- Geospatial Visualization GISC9312- Geospatial Visualization Assignment#D1 Ibeabuchi Nkemakolam April 17, 2013 Janet Finlay BA,.BSc. GIS-GM Program Professor Niagara College 135 Taylor Road Niagara-On-The-Lake, ON L0S 1J0 Dear

More information

Final project: Lecture 21 - Chapter 8 (Raster Analysis, part2) GEOL 452/552 - GIS for Geoscientists I

Final project: Lecture 21 - Chapter 8 (Raster Analysis, part2) GEOL 452/552 - GIS for Geoscientists I GEOL 452/552 - GIS for Geoscientists I Lecture 21 - Chapter 8 (Raster Analysis, part2) Talk about class project (copy follow_along_data\ch8a_class_ex into U:\ArcGIS\ if needed) Catch up with lecture 20

More information

2. POINT CLOUD DATA PROCESSING

2. POINT CLOUD DATA PROCESSING Point Cloud Generation from suas-mounted iphone Imagery: Performance Analysis A. D. Ladai, J. Miller Towill, Inc., 2300 Clayton Road, Suite 1200, Concord, CA 94520-2176, USA - (andras.ladai, jeffrey.miller)@towill.com

More information

17/07/2013 RASTER DATA STRUCTURE GIS LECTURE 4 GIS DATA MODELS AND STRUCTURES RASTER DATA MODEL& STRUCTURE TIN- TRIANGULAR IRREGULAR NETWORK

17/07/2013 RASTER DATA STRUCTURE GIS LECTURE 4 GIS DATA MODELS AND STRUCTURES RASTER DATA MODEL& STRUCTURE TIN- TRIANGULAR IRREGULAR NETWORK RASTER DATA STRUCTURE GIS LECTURE 4 GIS DATA MODELS AND STRUCTURES Space is subdivided into regular grids of square grid cells or other forms of polygonal meshes known as picture elements (pixels) the

More information

Tools, Tips and Workflows Geiger-Mode LIDAR Workflow Review GeoCue, TerraScan, versions and above

Tools, Tips and Workflows Geiger-Mode LIDAR Workflow Review GeoCue, TerraScan, versions and above GeoCue, TerraScan, versions 015.005 and above Martin Flood August 8, 2016 Geiger-mode lidar data is getting a lot of press lately as the next big thing in airborne data collection. Unlike traditional lidar

More information

A Method to Create a Single Photon LiDAR based Hydro-flattened DEM

A Method to Create a Single Photon LiDAR based Hydro-flattened DEM A Method to Create a Single Photon LiDAR based Hydro-flattened DEM Sagar Deshpande 1 and Alper Yilmaz 2 1 Surveying Engineering, Ferris State University 2 Department of Civil, Environmental, and Geodetic

More information

LiDAR Technical Report NE Washington LiDAR Production 2017

LiDAR Technical Report NE Washington LiDAR Production 2017 LiDAR Technical Report NE Washington LiDAR Production 2017 Presented to: Washington DNR 1111 Washington Street SE Olympia, Washington 98504 Submitted by: 860 McKinley St Eugene, OR 97402 July 26, 2017

More information

SPAR, ELMF 2013, Amsterdam. Laser Scanning on the UK Highways Agency Network. Hamish Grierson Blom Uk

SPAR, ELMF 2013, Amsterdam. Laser Scanning on the UK Highways Agency Network. Hamish Grierson Blom Uk SPAR, ELMF 2013, Amsterdam Laser Scanning on the UK Highways Agency Network Hamish Grierson Blom Uk www.blomasa.com www.blom-uk.co.uk Blom UK Part of the Blom Group Blom Group - Europe s largest aerial

More information

Lab 11: Terrain Analyses

Lab 11: Terrain Analyses Lab 11: Terrain Analyses What You ll Learn: Basic terrain analysis functions, including watershed, viewshed, and profile processing. There is a mix of old and new functions used in this lab. We ll explain

More information

Geometric Accuracy Evaluation, DEM Generation and Validation for SPOT-5 Level 1B Stereo Scene

Geometric Accuracy Evaluation, DEM Generation and Validation for SPOT-5 Level 1B Stereo Scene Geometric Accuracy Evaluation, DEM Generation and Validation for SPOT-5 Level 1B Stereo Scene Buyuksalih, G.*, Oruc, M.*, Topan, H.*,.*, Jacobsen, K.** * Karaelmas University Zonguldak, Turkey **University

More information

3D Data Modelling at Esri. Paul Hardy Business Development Consultant Esri Europe

3D Data Modelling at Esri. Paul Hardy Business Development Consultant Esri Europe 3D Data Modelling at Esri Paul Hardy phardy@esri.com Business Development Consultant Esri Europe Users of 3D GIS Local government Facilities management Civil engineering 3D GIS Defense / Public Safety

More information

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: 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

More information

FILTERING OF DIGITAL ELEVATION MODELS

FILTERING OF DIGITAL ELEVATION MODELS FILTERING OF DIGITAL ELEVATION MODELS Dr. Ing. Karsten Jacobsen Institute for Photogrammetry and Engineering Survey University of Hannover, Germany e-mail: jacobsen@ipi.uni-hannover.de Dr. Ing. Ricardo

More information

DECONFLICTION AND SURFACE GENERATION FROM BATHYMETRY DATA USING LR B- SPLINES

DECONFLICTION AND SURFACE GENERATION FROM BATHYMETRY DATA USING LR B- SPLINES DECONFLICTION AND SURFACE GENERATION FROM BATHYMETRY DATA USING LR B- SPLINES IQMULUS WORKSHOP BERGEN, SEPTEMBER 21, 2016 Vibeke Skytt, SINTEF Jennifer Herbert, HR Wallingford The research leading to these

More information

An Introduction to Lidar & Forestry May 2013

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

More information

Introduction to 3D Analysis. Jinwu Ma Jie Chang Khalid Duri

Introduction to 3D Analysis. Jinwu Ma Jie Chang Khalid Duri Introduction to 3D Analysis Jinwu Ma Jie Chang Khalid Duri Area & Volume 3D Analyst Features Detect Change Determine Cut/Fill Calculate Surface Area & Volume Data Management Data Creation Data Conversion

More information

Lidar Sensors, Today & Tomorrow. Christian Sevcik RIEGL Laser Measurement Systems

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

More information

Airborne discrete return LiDAR data was collected on September 3-4, 2007 by

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

More information

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 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

More information

Mobile LiDAR in Road Surface Quality Control and Renovation - Latest Development of Terrasolid Software

Mobile LiDAR in Road Surface Quality Control and Renovation - Latest Development of Terrasolid Software Geodesy, Mine Survey and Aerial Topography. At the turn of the centuries. Moscow 14 15 February 2013 Mobile LiDAR in Road Surface Quality Control and Renovation - Latest Development of Terrasolid Software

More information

Assimilation of Break line and LiDAR Data within ESRI s Terrain Data Structure (TDS) for creating a Multi-Resolution Terrain Model

Assimilation of Break line and LiDAR Data within ESRI s Terrain Data Structure (TDS) for creating a Multi-Resolution Terrain Model Assimilation of Break line and LiDAR Data within ESRI s Terrain Data Structure (TDS) for creating a Multi-Resolution Terrain Model Tarig A. Ali Department of Civil Engineering American University of Sharjah,

More information

Iowa Department of Transportation Office of Design. Photogrammetric Mapping Specifications

Iowa Department of Transportation Office of Design. Photogrammetric Mapping Specifications Iowa Department of Transportation Office of Design Photogrammetric Mapping Specifications March 2015 1 Purpose of Manual These Specifications for Photogrammetric Mapping define the standards and general

More information

Neighbourhood Operations Specific Theory

Neighbourhood Operations Specific Theory Neighbourhood Operations Specific Theory Neighbourhood operations are a method of analysing data in a GIS environment. They are especially important when a situation requires the analysis of relationships

More information

Measuring the potential impact of offshore mining on coastal instability through integrated time-series laser scanning and photography

Measuring the potential impact of offshore mining on coastal instability through integrated time-series laser scanning and photography Measuring the potential impact of offshore mining on coastal instability through integrated time-series laser scanning and photography by Neil Slatcher, Roberto Vargas, Chris Cox and Liene Starka, 3D Laser

More information

Bill Cusworth CREATING ORIENTEERING BASEMAPS USING LIDAR DATA

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

More information

Creating Contours using ArcMap

Creating Contours using ArcMap Creating Contours with ArcMap and ArcScene Digital elevation models (DEMs) are geospatial datasets that contain elevation values sampled according to a regularly spaced rectangular grid. They can be used

More information

Digital Photogrammetric System. Version 6.3 USER MANUAL. LIDAR Data processing

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

More information

[Youn *, 5(11): November 2018] ISSN DOI /zenodo Impact Factor

[Youn *, 5(11): November 2018] ISSN DOI /zenodo Impact Factor GLOBAL JOURNAL OF ENGINEERING SCIENCE AND RESEARCHES AUTOMATIC EXTRACTING DEM FROM DSM WITH CONSECUTIVE MORPHOLOGICAL FILTERING Junhee Youn *1 & Tae-Hoon Kim 2 *1,2 Korea Institute of Civil Engineering

More information

Using rasters for interpolation and visualization in GMS

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

More information

A METHODOLOGY FOR CREATING ANALYTICAL HILL-SHADING BY COMBINING DIFFERENT LIGHTING DIRECTIONS

A METHODOLOGY FOR CREATING ANALYTICAL HILL-SHADING BY COMBINING DIFFERENT LIGHTING DIRECTIONS A METHODOLOGY FOR CREATING ANALYTICAL HILL-SHADING BY COMBINING DIFFERENT LIGHTING DIRECTIONS Dimitrios Loisios *, Nikolaos Tzelepis **, Byron Nakos ** jbm@mail.ntua.gr - niktzel@survey.ntua.gr - bnakos@central.ntua.gr

More information

Automatic bridge detection in airborne laser scanned data. Master of Science Thesis DANIEL FORSBERG

Automatic bridge detection in airborne laser scanned data. Master of Science Thesis DANIEL FORSBERG Automatic bridge detection in airborne laser scanned data Master of Science Thesis DANIEL FORSBERG Chalmers University of Technology University of Gothenburg Department of Computer Science and Engineering

More information

QUESTIONS & ANSWERS FOR. ORTHOPHOTO & LiDAR AOT

QUESTIONS & ANSWERS FOR. ORTHOPHOTO & LiDAR AOT QUESTIONS & ANSWERS FOR ORTHOPHOTO & LiDAR AOT Question# 1. Section 3.2 Will the imagery be clipped to the 1000m boundary? If so, what color will be used for null valued pixels? Yes, the imagery will be

More information

A QUALITY ASSESSMENT OF AIRBORNE LASER SCANNER DATA

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,

More information

University of West Hungary, Faculty of Geoinformatics. Béla Márkus. Spatial Analysis 5. module SAN5. 3D analysis

University of West Hungary, Faculty of Geoinformatics. Béla Márkus. Spatial Analysis 5. module SAN5. 3D analysis University of West Hungary, Faculty of Geoinformatics Béla Márkus Spatial Analysis 5. module SAN5 3D analysis SZÉKESFEHÉRVÁR 2010 The right to this intellectual property is protected by the 1999/LXXVI

More information

LASERDATA LIS build your own bundle! LIS Pro 3D LIS 3.0 NEW! BETA AVAILABLE! LIS Road Modeller. LIS Orientation. LIS Geology.

LASERDATA LIS build your own bundle! LIS Pro 3D LIS 3.0 NEW! BETA AVAILABLE! LIS Road Modeller. LIS Orientation. LIS Geology. LIS 3.0...build your own bundle! NEW! LIS Geology LIS Terrain Analysis LIS Forestry LIS Orientation BETA AVAILABLE! LIS Road Modeller LIS Editor LIS City Modeller colors visualization I / O tools arithmetic

More information

Lab 10: Raster Analyses

Lab 10: Raster Analyses Lab 10: Raster Analyses What You ll Learn: Spatial analysis and modeling with raster data. You will estimate the access costs for all points on a landscape, based on slope and distance to roads. You ll

More information

Introduction to GIS 2011

Introduction to GIS 2011 Introduction to GIS 2011 Digital Elevation Models CREATING A TIN SURFACE FROM CONTOUR LINES 1. Start ArcCatalog from either Desktop or Start Menu. 2. In ArcCatalog, create a new folder dem under your c:\introgis_2011

More information

Review of Cartographic Data Types and Data Models

Review of Cartographic Data Types and Data Models Review of Cartographic Data Types and Data Models GIS Data Models Raster Versus Vector in GIS Analysis Fundamental element used to represent spatial features: Raster: pixel or grid cell. Vector: x,y coordinate

More information

N.J.P.L.S. An Introduction to LiDAR Concepts and Applications

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

More information

Remote sensing techniques applied to seismic vulnerability assessment

Remote sensing techniques applied to seismic vulnerability assessment Remote sensing techniques applied to seismic vulnerability assessment JJ Arranz (josejuan.arranz@upm.es), Y. Torres (y.torres@upm.es), A. Haghi (a.haghi@alumnus.upm.es), J. Gaspar (jorge.gaspar@upm.es)

More information

BUILDING DETECTION AND STRUCTURE LINE EXTRACTION FROM AIRBORNE LIDAR DATA

BUILDING DETECTION AND STRUCTURE LINE EXTRACTION FROM AIRBORNE LIDAR DATA BUILDING DETECTION AND STRUCTURE LINE EXTRACTION FROM AIRBORNE LIDAR DATA C. K. Wang a,, P.H. Hsu a, * a Dept. of Geomatics, National Cheng Kung University, No.1, University Road, Tainan 701, Taiwan. China-

More information

Interferometry Module for Digital Elevation Model Generation

Interferometry Module for Digital Elevation Model Generation Interferometry Module for Digital Elevation Model Generation In order to fully exploit processes of the Interferometry Module for Digital Elevation Model generation, the European Space Agency (ESA) has

More information

HAWAII KAUAI Survey Report. LIDAR System Description and Specifications

HAWAII KAUAI Survey Report. LIDAR System Description and Specifications HAWAII KAUAI Survey Report LIDAR System Description and Specifications This survey used an Optech GEMINI Airborne Laser Terrain Mapper (ALTM) serial number 06SEN195 mounted in a twin-engine Navajo Piper

More information

Valleys Deep and Mountains High

Valleys Deep and Mountains High Valleys Deep and Mountains High Purpose With this activity, you will learn and simulate how altitudes and the height of the Earth s surface can be measured from space. Later, you will explore different

More information

Third Rock from the Sun

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

More information

Principles of Architectural and Environmental Design EARC 2417 Lecture 2 Forms

Principles of Architectural and Environmental Design EARC 2417 Lecture 2 Forms Islamic University-Gaza Faculty of Engineering Architecture Department Principles of Architectural and Environmental Design EARC 2417 Lecture 2 Forms Instructor: Dr. Suheir Ammar 2016 1 FORMS ELEMENTS

More information

Surface Analysis. Data for Surface Analysis. What are Surfaces 4/22/2010

Surface Analysis. Data for Surface Analysis. What are Surfaces 4/22/2010 Surface Analysis Cornell University Data for Surface Analysis Vector Triangulated Irregular Networks (TIN) a surface layer where space is partitioned into a set of non-overlapping triangles Attribute and

More information

COMPONENTS. The web interface includes user administration tools, which allow companies to efficiently distribute data to internal or external users.

COMPONENTS. The web interface includes user administration tools, which allow companies to efficiently distribute data to internal or external users. COMPONENTS LASERDATA LIS is a software suite for LiDAR data (TLS / MLS / ALS) management and analysis. The software is built on top of a GIS and supports both point and raster data. The following software

More information

Lecture 4: Digital Elevation Models

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

More information

LIDAR and Terrain Models: In 3D!

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

More information

By Colin Childs, ESRI Education Services. Catalog

By Colin Childs, ESRI Education Services. Catalog s resolve many traditional raster management issues By Colin Childs, ESRI Education Services Source images ArcGIS 10 introduces Catalog Mosaicked images Sources, mosaic methods, and functions are used

More information

imos PLAN 2.0 We make every effort to ensure the content of this document is complete, accurate and up to date.

imos PLAN 2.0 We make every effort to ensure the content of this document is complete, accurate and up to date. imos PLAN 2.0 We make every effort to ensure the content of this document is complete, accurate and up to date. However, continuous development of the described software means it is not possible to guarantee

More information

DIGITAL TERRAIN MODELLING. Endre Katona University of Szeged Department of Informatics

DIGITAL TERRAIN MODELLING. Endre Katona University of Szeged Department of Informatics DIGITAL TERRAIN MODELLING Endre Katona University of Szeged Department of Informatics katona@inf.u-szeged.hu The problem: data sources data structures algorithms DTM = Digital Terrain Model Terrain function:

More information

Class #2. Data Models: maps as models of reality, geographical and attribute measurement & vector and raster (and other) data structures

Class #2. Data Models: maps as models of reality, geographical and attribute measurement & vector and raster (and other) data structures Class #2 Data Models: maps as models of reality, geographical and attribute measurement & vector and raster (and other) data structures Role of a Data Model Levels of Data Model Abstraction GIS as Digital

More information

Objectives Learn how GMS uses rasters to support all kinds of digital elevation models and how rasters can be used for interpolation in GMS.

Objectives Learn how GMS uses rasters to support all kinds of digital elevation models and how rasters can be used for interpolation in GMS. v. 9.1 GMS 9.1 Tutorial Using rasters for interpolation and visualization in GMS Objectives Learn how GMS uses rasters to support all kinds of digital elevation models and how rasters can be used for interpolation

More information