Digital Remote Sensing Data Processing Digital Remote Sensing Data Processing and Analysis: An Introduction and Analysis: An Introduction

Save this PDF as:
 WORD  PNG  TXT  JPG

Size: px
Start display at page:

Download "Digital Remote Sensing Data Processing Digital Remote Sensing Data Processing and Analysis: An Introduction and Analysis: An Introduction"

Transcription

1 Digital Remote Sensing Data Processing Digital Remote Sensing Data Processing and Analysis: An Introduction and Analysis: An Introduction Content Remote sensing data Spatial, spectral, radiometric and temporal resolution Digital image processing tasks and scenarios Hardware and software Academic journals What is Remote Sensing? The non-contact recording of information from the ultraviolet, visible, infrared, and microwave regions of the electromagnetic spectrum by means of instruments such as camera, scanners, lasers, linear arrays, and/or area arrays located on platforms such as aircraft or spacecraft, and the analysis of acquired information by means of visual and digital image processing. Remote Sensing, GIS, Cartography, and Remote Sensing, GIS, Cartography, and Geography Interaction Model Depicting the Relationships of the Mapping Sciences as they relate to Mathematics and Logic, and the Physical, Biological, and Social Sciences Collects and/or processes spatial data derived from existing maps, remote sensors, field observation, interactive terminal, digitizers, text files, scanners, magnetic media etc. Characteristics and Components of A Remote Sensing System Measurements or observations are taken without making direct physical contact with the object in question Remote Sensing Data Acquisition A remote sensing instrument collects information about an object or phenomenon within the instantaneous field-of-view (IFOV) of the sensor system without being in direct physical contact with it. The sensor is located on a suborbital or satellite platform. 1

2 In Situ Data Collection In Situ Data Acquisition Problems Associated with In Situ Data Collection Scientists can collect data in the field using biased procedures often referred to as method-produced error. Such error can be introduced by: sampling design does not capture the spatial variability of the phenomena under investigation (i.e., some phenomena or geographic areas are oversampled while others are undersampled); improper operation of in situ measurement instruments; or uncalibrated in situ measurement instruments. In situ Measurement In Support of Remote Sensing Measurement In situ spectro-radiometer measurement of soybeans In situ ceptometer leaf-area-index (LAI) measurement Ground Reference Information It is a misnomer to refer to in situ data as ground truth data. Instead, we should refer to it simply as in situ ground reference data, and acknowledge that it also contains error. Characteristics and Components of A Remote Sensing System The electromagnetic spectrum is the energy that carries information through the atmosphere from the Earth's surface to the sensing device The remote sensing instrument used to record the EM signals are often to be referred to a sensor: camera, scanner, altimeters, and other photographic (analog) and digital remote sensing sensors; Remote: at a distance from the object or area of interest Remote sensing of the terrestrial Earth from platforms: aircraft, satellite, and space shuttles Science or Art or Both? Scientific aspects Image processing of remote sensing data involves developing algorithms or techniques that can be extract information from the detected EM energy exiting an object or area Art aspects Visual interpretation of images requires training and learned knowledge about the world, heuristic rules of thumb to extract valuable information from the imagery, widely traveling and seeing various landscapes and geographical areas 2

3 Advantages of Remote Sensing Advantages of Remote Sensing Observation of Earth s Surface Limitations of Remote Sensing Aerial vs. Space-borne Remote Sensing Airborne High-spatial, high-spectral resolution aerial photographs offer detailed view of the Earth s surface; Ground coverage is relatively small, and expensive to acquire; Severe geometric distortion may occur due to atmospheric turbulence and difficult to correct On less regular temporal basis Satellite-based Satellite photographs and images provide synoptic, less detailed view; Ground coverage is large, and relatively cheap; On regular and consistent temporal basis; Stable orbit, and better geometric integrity; Types of Remote Sensing Passive Remote Sensing Systems Active Remote Sensing Systems Visible & Infrared Remote Sensing Thermal remote sensing Radar remote sensing Lidar remote sensing Passive microwave remote sensing The Remote Sensing Process The remote sensing data-collection and analysis procedures used for Earth resource applications are often implemented in a systematic fashion referred to as the remote sensing process. In situ and collateral data necessary to calibrate the remote sensor data and/or judge its geometric, radiometric, and thematic characteristics are collected Remote sensor data are collected passively or actively using analog or digital remote sensing instruments, ideally at the same time as the in situ data In situ and remotely sensed data are processed using a) analog image processing, b) digital image processing, c) modeling, and d) n-dimensional visualization Remote Sensing Data Collection Resolution/Resolving Power/Scale of Remote Sensing Data Spatial resolution A measure of the smallest angular or linear separation between two objects that can be resolved by the sensor satellite sensors with fixed orbit and fixed optical 3

4 systems have a constant instantaneous-field-of-view (IFOV) Spectral Resolution The number and dimension of specific wavelength intervals in the EM spectrum to which a remote sensing instrument is sensitive Radiometric Resolution Temporal Resolution Angular Information Remote sensing systems record very specific angular characteristics associated with each exposed silver halide crystal or pixel There is always an angle of incidence associated with the incoming energy that illuminates the terrain and an angle of existence from the terrain to the sensor system. This bidirectional nature of remote sensing data collection is known to influence the spectral and polarization characteristics of the at-sensor radiance, L, recorded by the remote sensing system Remote Sensing Data Analysis The analysis of remotely sensed data is performed using a variety of image processing techniques, including: analog (visual) image processing, and digital image processing. Earth Resource Analysis Perspective Earth resource information is defined as any information concerning terrestrial vegetation, soils, minerals, rocks, water, certain atmospheric characteristics, and urban infrastructure Tasks and Scenario of Image Processing and Analysis Image Preprocessing-rectification and restoration Image Enhancement Image Transformation Image Classification Image Integration and Fusion Image Acquisition Imaging sensor & capability to digitize the signal collected by the sensor Video camera Digital camera Conventional camera & analog-to-digital converter Various sensors on the airborne or space-borne platforms Preprocessing To improve the image to ensure the success of further processes 4

5 Segmentation & Classification To partition the image into its constituent parts (objects) Representation & Description Feature selection (description) deals with extracting: features that result in quantitative information of interest or features that are important for differentiating one class of objects from another Knowledge Base Guides the operation of each processing module and controls the interaction between modules Recognition & Interpretation To assign a label to an object based on information provided by the descriptors To assign meaning to a group of recognized objects Comments Image enhancement for human visual interpretation usually stops at preprocessing Recognition and interpretation are associated with image analysis applications where the objective is automation (automated extraction of information from images) Nature of Digital Image A digital image is two-dimensional array of DN values Information from Remote Sensing Information about an Object or Area Such information may be useful for modeling Image Processing System Hardware /Software Considerations Interactive versus Batch Processing Non-interactive, batch processing is of value for time-consuming processes such as image rectification, mosaicking, orthophoto creation, filtering, etc Serial and Parallel Image Processing It is possible to obtain PCs, workstations, and mainframe computers that have multiple CPUs that operate concurrently. Specially written parallel processing software can parse (distribute) the remote sensor data to specific CPUs to perform digital image processing. Storage and Archiving Considerations Digital image processing of remote sensing and related GIS data requires substantial mass storage resources. 5

6 Commercial and Public Digital Image Processing Systems Major Commercial Software Major Public Digital Image Processing Systems ENVI Software ENVI is written in Interactive Data Language (IDL), a structured programming language Important Image System Functions Preprocessing (Radiometric and Geometric) Display and Enhancement Information Extraction Photogrammetric Information Extraction Metadata and Image/Map Lineage Documentation Image and Map Cartographic Composition Geographic Information Systems (GIS) Integrated Image Processing and GIS Utilities Sources of Digital Image Processing Systems Suggested Reading Chapter 1 and 3 in Jensen, J.R Introductory digital image processing: a remote sensing perspective, 3rd Edition, Upper Saddle River, NJ, Prentice Hall. 526pp. Please see the class slides for the details. 6

Remote Sensing in Natural Resources Mapping

Remote Sensing in Natural Resources Mapping Remote Sensing in Natural Resources Mapping NRS 516, Spring 2016 Overview of Remote Sensing in Natural Resources Mapping What is remote sensing? Why remote sensing? Examples of remote sensing in natural

More information

A remote sensing instrument collects information about an object or phenomenon within the

A remote sensing instrument collects information about an object or phenomenon within the Satellite Remote Sensing GE 4150- Natural Hazards Some slides taken from Ann Maclean: Introduction to Digital Image Processing Remote Sensing the art, science, and technology of obtaining reliable information

More information

2.3 Spatial Resolution, Pixel Size, and Scale

2.3 Spatial Resolution, Pixel Size, and Scale Section 2.3 Spatial Resolution, Pixel Size, and Scale Page 39 2.3 Spatial Resolution, Pixel Size, and Scale For some remote sensing instruments, the distance between the target being imaged and the platform,

More information

Types of Scanning. Different radiation principles Same operating principles Same image geometry. Multispectral scanning Thermal scanning

Types of Scanning. Different radiation principles Same operating principles Same image geometry. Multispectral scanning Thermal scanning Types of Scanning Multispectral scanning Thermal scanning Different radiation principles Same operating principles Same image geometry Hyperspectral scanning Multispectral Scanners Advantages over multiband

More information

ENVIRONMENTAL MONITORING Vol. I - Remote Sensing (Satellite) System Technologies - Michael A. Okoye and Greg T. Koeln

ENVIRONMENTAL MONITORING Vol. I - Remote Sensing (Satellite) System Technologies - Michael A. Okoye and Greg T. Koeln REMOTE SENSING (SATELLITE) SYSTEM TECHNOLOGIES Michael A. Okoye and Greg T. Earth Satellite Corporation, Rockville Maryland, USA Keywords: active microwave, advantages of satellite remote sensing, atmospheric

More information

Lectures Remote Sensing

Lectures Remote Sensing Lectures Remote Sensing OPTICAL REMOTE SENSING dr.ir. Jan Clevers Centre of Geo-Information Environmental Sciences Wageningen UR EM Spectrum and Windows reflection emission 0.3 0.6 1.0 5.0 10 50 100 200

More information

Review for Introduction to Remote Sensing: Science Concepts and Technology

Review for Introduction to Remote Sensing: Science Concepts and Technology Review for Introduction to Remote Sensing: Science Concepts and Technology Ann Johnson Associate Director ann@baremt.com Funded by National Science Foundation Advanced Technological Education program [DUE

More information

SAMPLE MIDTERM QUESTIONS

SAMPLE MIDTERM QUESTIONS Geography 309 Sample MidTerm Questions Page 1 SAMPLE MIDTERM QUESTIONS Textbook Questions Chapter 1 Questions 4, 5, 6, Chapter 2 Questions 4, 7, 10 Chapter 4 Questions 8, 9 Chapter 10 Questions 1, 4, 7

More information

Chapter Contents Page No

Chapter Contents Page No Chapter Contents Page No Preface Acknowledgement 1 Basics of Remote Sensing 1 1.1. Introduction 1 1.2. Definition of Remote Sensing 1 1.3. Principles of Remote Sensing 1 1.4. Various Stages in Remote Sensing

More information

CLIENT GUIDE TO DIGITAL ORTHO- PHOTOGRAPHY

CLIENT GUIDE TO DIGITAL ORTHO- PHOTOGRAPHY ISSUE 2 SEPTEMBER 2014 TSA Endorsed by: CLIENT GUIDE TO DIGITAL ORTHO- PHOTOGRAPHY The Survey Association s Client Guides are primarily aimed at other professionals such as engineers, architects, planners

More information

Remote Sensing of Global Climate Change

Remote Sensing of Global Climate Change of Global Climate Change 2009 TECHNICAL STUFF... WHERE ON THE EARTH IS THAT??? Students should understand various geographic coordinate systems used to locate images, and how to translate these into distances

More information

INVESTIGA I+D+i 2013/2014

INVESTIGA I+D+i 2013/2014 INVESTIGA I+D+i 2013/2014 SPECIFIC GUIDELINES ON AEROSPACE OBSERVATION OF EARTH Text by D. Eduardo de Miguel October, 2013 Introducction Earth observation is the use of remote sensing techniques to better

More information

WATER BODY EXTRACTION FROM MULTI SPECTRAL IMAGE BY SPECTRAL PATTERN ANALYSIS

WATER BODY EXTRACTION FROM MULTI SPECTRAL IMAGE BY SPECTRAL PATTERN ANALYSIS WATER BODY EXTRACTION FROM MULTI SPECTRAL IMAGE BY SPECTRAL PATTERN ANALYSIS Nguyen Dinh Duong Department of Environmental Information Study and Analysis, Institute of Geography, 18 Hoang Quoc Viet Rd.,

More information

Digital Image Processing Hardware and Software Functions

Digital Image Processing Hardware and Software Functions Digital Image Processing Hardware and Software Functions A digital image processing system is the combination of the computer hardware and the image processing software. Basic computer hardware for digital

More information

ENVI THE PREMIER SOFTWARE FOR EXTRACTING INFORMATION FROM GEOSPATIAL IMAGERY.

ENVI THE PREMIER SOFTWARE FOR EXTRACTING INFORMATION FROM GEOSPATIAL IMAGERY. ENVI THE PREMIER SOFTWARE FOR EXTRACTING INFORMATION FROM GEOSPATIAL IMAGERY. ENVI Imagery Becomes Knowledge ENVI software uses proven scientific methods and automated processes to help you turn geospatial

More information

Remote Sensing for Geographical Analysis

Remote Sensing for Geographical Analysis Remote Sensing for Geographical Analysis Geography 651, Fall 2008 Department of Geography Texas A&M University (3 credit hours) Instructor: Dr. Hongxing Liu Office hours: Tue & Thur 10:00AM-12:00AM, O&M

More information

Remote sensing is the collection of data without directly measuring the object it relies on the

Remote sensing is the collection of data without directly measuring the object it relies on the Chapter 8 Remote Sensing Chapter Overview Remote sensing is the collection of data without directly measuring the object it relies on the reflectance of natural or emitted electromagnetic radiation (EMR).

More information

The premier software for extracting information from geospatial imagery.

The premier software for extracting information from geospatial imagery. Imagery Becomes Knowledge ENVI The premier software for extracting information from geospatial imagery. ENVI Imagery Becomes Knowledge Geospatial imagery is used more and more across industries because

More information

Digital image processing

Digital image processing 746A27 Remote Sensing and GIS Lecture 4 Digital image processing Chandan Roy Guest Lecturer Department of Computer and Information Science Linköping University Digital Image Processing Most of the common

More information

GEOG 579 - Remote Sensing 76634-001

GEOG 579 - Remote Sensing 76634-001 GEOG 579 - Remote Sensing 76634-001 Syllabus Instructor: Dr. Ron Resmini Course description and objective: GEOG 579, Remote Sensing, will provide graduate students with the concepts, principles, and methods

More information

Radiometric Calibration of a Modified DSLR for NDVI

Radiometric Calibration of a Modified DSLR for NDVI Radiometric Calibration of a Modified DSLR for NDVI Christian Taylor Carlson Center for Imaging Science, Rochester Institute of Technology ABSTRACT Silicon CCD detectors found in commercial DSLR cameras

More information

Chapter 1 Overview of imaging GIS

Chapter 1 Overview of imaging GIS Chapter 1 Overview of imaging GIS Imaging GIS, a term used in the medical imaging community (Wang 2012), is adopted here to describe a geographic information system (GIS) that displays, enhances, and facilitates

More information

Sensor Models 2. Reading: Chapter 3. ECE/OPTI 531 Image Processing Lab for Remote Sensing Fall 2005

Sensor Models 2. Reading: Chapter 3. ECE/OPTI 531 Image Processing Lab for Remote Sensing Fall 2005 Sensor Models Reading: Chapter 3 ECE/OPTI 53 Image Processing Lab for Remote Sensing Fall 25 Sensor Models LSI System Model Spatial Response Spectral Response Signal Amplification, Sampling, and Quantization

More information

D.S. Boyd School of Earth Sciences and Geography, Kingston University, U.K.

D.S. Boyd School of Earth Sciences and Geography, Kingston University, U.K. PHYSICAL BASIS OF REMOTE SENSING D.S. Boyd School of Earth Sciences and Geography, Kingston University, U.K. Keywords: Remote sensing, electromagnetic radiation, wavelengths, target, atmosphere, sensor,

More information

RESOLUTION MERGE OF 1:35.000 SCALE AERIAL PHOTOGRAPHS WITH LANDSAT 7 ETM IMAGERY

RESOLUTION MERGE OF 1:35.000 SCALE AERIAL PHOTOGRAPHS WITH LANDSAT 7 ETM IMAGERY RESOLUTION MERGE OF 1:35.000 SCALE AERIAL PHOTOGRAPHS WITH LANDSAT 7 ETM IMAGERY M. Erdogan, H.H. Maras, A. Yilmaz, Ö.T. Özerbil General Command of Mapping 06100 Dikimevi, Ankara, TURKEY - (mustafa.erdogan;

More information

Image Analysis CHAPTER 16 16.1 ANALYSIS PROCEDURES

Image Analysis CHAPTER 16 16.1 ANALYSIS PROCEDURES CHAPTER 16 Image Analysis 16.1 ANALYSIS PROCEDURES Studies for various disciplines require different technical approaches, but there is a generalized pattern for geology, soils, range, wetlands, archeology,

More information

How Landsat Images are Made

How Landsat Images are Made How Landsat Images are Made Presentation by: NASA s Landsat Education and Public Outreach team June 2006 1 More than just a pretty picture Landsat makes pretty weird looking maps, and it isn t always easy

More information

Emerging remote environmental monitoring techniques. Remote Sensing

Emerging remote environmental monitoring techniques. Remote Sensing Emerging remote environmental monitoring techniques Remote Sensing Satellite and airborne Remote Sensing techniques Emerging trends in remote sensing are occurring largely in four broad areas: 1. advances

More information

APPLICATION OF TERRA/ASTER DATA ON AGRICULTURE LAND MAPPING. Genya SAITO*, Naoki ISHITSUKA*, Yoneharu MATANO**, and Masatane KATO***

APPLICATION OF TERRA/ASTER DATA ON AGRICULTURE LAND MAPPING. Genya SAITO*, Naoki ISHITSUKA*, Yoneharu MATANO**, and Masatane KATO*** APPLICATION OF TERRA/ASTER DATA ON AGRICULTURE LAND MAPPING Genya SAITO*, Naoki ISHITSUKA*, Yoneharu MATANO**, and Masatane KATO*** *National Institute for Agro-Environmental Sciences 3-1-3 Kannondai Tsukuba

More information

Analysis of Landsat ETM+ Image Enhancement for Lithological Classification Improvement in Eagle Plain Area, Northern Yukon

Analysis of Landsat ETM+ Image Enhancement for Lithological Classification Improvement in Eagle Plain Area, Northern Yukon Analysis of Landsat ETM+ Image Enhancement for Lithological Classification Improvement in Eagle Plain Area, Northern Yukon Shihua Zhao, Department of Geology, University of Calgary, zhaosh@ucalgary.ca,

More information

Remote Sensing Image Processing

Remote Sensing Image Processing Remote Sensing Image Processing -Pre-processing -Geometric Correction -Atmospheric correction -Image enhancement -Image classification Division of Spatial Information Science Graduate School Life and Environment

More information

INTRODUCTION REMOTE SENSING

INTRODUCTION REMOTE SENSING INTRODUCTION REMOTE SENSING dr.ir. Jan Clevers Centre for Geo-Information Dept. Environmental Sciences Wageningen UR Remote Sensing --> RS Sensor at a distance EARTH OBSERVATION EM energy Earth RS is a

More information

Hyperspectral Satellite Imaging Planning a Mission

Hyperspectral Satellite Imaging Planning a Mission Hyperspectral Satellite Imaging Planning a Mission Victor Gardner University of Maryland 2007 AIAA Region 1 Mid-Atlantic Student Conference National Institute of Aerospace, Langley, VA Outline Objective

More information

REGIONAL CENTRE FOR TRAINING IN AEROSPACE SURVEYS (RECTAS) MASTER IN GEOINFORMATION PRODUCTION AND MANAGEMENT

REGIONAL CENTRE FOR TRAINING IN AEROSPACE SURVEYS (RECTAS) MASTER IN GEOINFORMATION PRODUCTION AND MANAGEMENT REGIONAL CENTRE FOR TRAINING IN AEROSPACE SURVEYS (RECTAS) MASTER IN GEOINFORMATION PRODUCTION AND MANAGEMENT PROGRAMME DESCRIPTION October 2014 1. The programme The academic programme shall be referred

More information

Mapping Earth from Space Remote sensing and satellite images. Remote sensing developments from war

Mapping Earth from Space Remote sensing and satellite images. Remote sensing developments from war Mapping Earth from Space Remote sensing and satellite images Geomatics includes all the following spatial technologies: a. Cartography "The art, science and technology of making maps" b. Geographic Information

More information

VCS REDD Methodology Module. Methods for monitoring forest cover changes in REDD project activities

VCS REDD Methodology Module. Methods for monitoring forest cover changes in REDD project activities 1 VCS REDD Methodology Module Methods for monitoring forest cover changes in REDD project activities Version 1.0 May 2009 I. SCOPE, APPLICABILITY, DATA REQUIREMENT AND OUTPUT PARAMETERS Scope This module

More information

Synthetic Sensing: Proximity / Distance Sensors

Synthetic Sensing: Proximity / Distance Sensors Synthetic Sensing: Proximity / Distance Sensors MediaRobotics Lab, February 2010 Proximity detection is dependent on the object of interest. One size does not fit all For non-contact distance measurement,

More information

Resolution Enhancement of Photogrammetric Digital Images

Resolution Enhancement of Photogrammetric Digital Images DICTA2002: Digital Image Computing Techniques and Applications, 21--22 January 2002, Melbourne, Australia 1 Resolution Enhancement of Photogrammetric Digital Images John G. FRYER and Gabriele SCARMANA

More information

Chapter 1 Introduction

Chapter 1 Introduction Chapter 1 Introduction 1.1 What is digital image processing 1.2 The origins of digital image processing 1.3 Examples of fields that use DIP 1.4 Fundamental Steps in DIP 1.5 Components of an image processing

More information

Big data and Earth observation New challenges in remote sensing images interpretation

Big data and Earth observation New challenges in remote sensing images interpretation Big data and Earth observation New challenges in remote sensing images interpretation Pierre Gançarski ICube CNRS - Université de Strasbourg 2014 Pierre Gançarski Big data and Earth observation 1/58 1

More information

Supervised Classification workflow in ENVI 4.8 using WorldView-2 imagery

Supervised Classification workflow in ENVI 4.8 using WorldView-2 imagery Supervised Classification workflow in ENVI 4.8 using WorldView-2 imagery WorldView-2 is the first commercial high-resolution satellite to provide eight spectral sensors in the visible to near-infrared

More information

MASTERS OF PHILOSOPHY (M. PHIL.) GEOGRAPHY DETAILED SYLLABUS SESSION 2013-14

MASTERS OF PHILOSOPHY (M. PHIL.) GEOGRAPHY DETAILED SYLLABUS SESSION 2013-14 MASTERS OF PHILOSOPHY (M. PHIL.) GEOGRAPHY DETAILED SYLLABUS SESSION 2013-14 UNIT - I PAPER I RESEARCH METHODOLOGY THEORY AND TECHNIQUES Research: Definition, Importance and Meaning of research, Characteristics

More information

Field Techniques Manual: GIS, GPS and Remote Sensing

Field Techniques Manual: GIS, GPS and Remote Sensing Field Techniques Manual: GIS, GPS and Remote Sensing Section A: Introduction Chapter 1: GIS, GPS, Remote Sensing and Fieldwork 1 GIS, GPS, Remote Sensing and Fieldwork The widespread use of computers

More information

Advanced Image Management using the Mosaic Dataset

Advanced Image Management using the Mosaic Dataset Esri International User Conference San Diego, California Technical Workshops July 25, 2012 Advanced Image Management using the Mosaic Dataset Vinay Viswambharan, Mike Muller Agenda ArcGIS Image Management

More information

Principles of Satellite Remote Sensing

Principles of Satellite Remote Sensing Chapter 5 Principles of Satellite Remote Sensing Goal: Give a overview on the characteristics of satellite remote sensing. Satellites have several unique characteristics which make them particularly useful

More information

INSPIRE implementation pilot project

INSPIRE implementation pilot project INSPIRE implementation pilot project Implementation of INSPIRE directive in Hungarian e-environment sector KEOP-7.6.3.0-2008-0020 Tamás Tomor PhD, project manager Trans-Tisza Environmental Inspectorate

More information

Preface. Ko Ko Lwin Division of Spatial Information Science University of Tsukuba 2008

Preface. Ko Ko Lwin Division of Spatial Information Science University of Tsukuba 2008 1 Preface Remote Sensing data is one of the primary data sources in GIS analysis. The objective of this material is to provide fundamentals of Remote Sensing technology and its applications in Geographical

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

Geomorphology G322 Introduction to Aerial Photographs

Geomorphology G322 Introduction to Aerial Photographs Geomorphology G322 Introduction to Aerial Photographs I. Introduction to Air Photos A. Aerial photographs are acquired by airpcraft especially equipped with cameras and view ports. 1. Early Work... Balloon-based

More information

Aerial Films CHAPTER AERIAL FILMS

Aerial Films CHAPTER AERIAL FILMS CHAPTER 3 Aerial Films 3.1 AERIAL FILMS Aerial film is similar in construction to the film popularly used in handheld 35-mm cameras. It comes in rolls that are 10 in. wide and range in length from 200

More information

Imagery. 1:50,000 Basemap Generation From Satellite. 1 Introduction. 2 Input Data

Imagery. 1:50,000 Basemap Generation From Satellite. 1 Introduction. 2 Input Data 1:50,000 Basemap Generation From Satellite Imagery Lisbeth Heuse, Product Engineer, Image Applications Dave Hawkins, Product Manager, Image Applications MacDonald Dettwiler, 3751 Shell Road, Richmond B.C.

More information

MULTIPURPOSE USE OF ORTHOPHOTO MAPS FORMING BASIS TO DIGITAL CADASTRE DATA AND THE VISION OF THE GENERAL DIRECTORATE OF LAND REGISTRY AND CADASTRE

MULTIPURPOSE USE OF ORTHOPHOTO MAPS FORMING BASIS TO DIGITAL CADASTRE DATA AND THE VISION OF THE GENERAL DIRECTORATE OF LAND REGISTRY AND CADASTRE MULTIPURPOSE USE OF ORTHOPHOTO MAPS FORMING BASIS TO DIGITAL CADASTRE DATA AND THE VISION OF THE GENERAL DIRECTORATE OF LAND REGISTRY AND CADASTRE E.ÖZER, H.TUNA, F.Ç.ACAR, B.ERKEK, S.BAKICI General Directorate

More information

LIDAR and Digital Elevation Data

LIDAR and Digital Elevation Data LIDAR and Digital Elevation Data Light Detection and Ranging (LIDAR) is being used by the North Carolina Floodplain Mapping Program to generate digital elevation data. These highly accurate topographic

More information

Introduction to GIS (Basics, Data, Analysis) & Case Studies. 13 th May 2004. Content. What is GIS?

Introduction to GIS (Basics, Data, Analysis) & Case Studies. 13 th May 2004. Content. What is GIS? Introduction to GIS (Basics, Data, Analysis) & Case Studies 13 th May 2004 Content Introduction to GIS Data concepts Data input Analysis Applications selected examples What is GIS? Geographic Information

More information

Instruments onboard Polar and Geostationary Satellites. Satellite Course May 2014

Instruments onboard Polar and Geostationary Satellites. Satellite Course May 2014 Instruments onboard Polar and Geostationary Satellites Satellite Course 2014 6 May 2014 Outline Technical Development of Satellite Remote Sensing Instruments Ultraviolet earth-observing satellite remote

More information

Geography 403 Lecture 7 Scanners, Thermal, and Microwave

Geography 403 Lecture 7 Scanners, Thermal, and Microwave Geography 403 Lecture 7 Scanners, Thermal, and Microwave Needs: Lect_403_7.ppt A. Basics of Passive Electric Sensors 1. Sensors absorb EMR and produce some sort of response, such as voltages differences

More information

LEOworks - a freeware to teach Remote Sensing in Schools

LEOworks - a freeware to teach Remote Sensing in Schools LEOworks - a freeware to teach Remote Sensing in Schools Wolfgang Sulzer Institute for Geography and Regional Science University of Graz Heinrichstrasse 36, A-8010 Graz/Austria wolfgang.sulzer@uni-graz.at

More information

REAL TIME 3D FUSION OF IMAGERY AND MOBILE LIDAR INTRODUCTION

REAL TIME 3D FUSION OF IMAGERY AND MOBILE LIDAR INTRODUCTION REAL TIME 3D FUSION OF IMAGERY AND MOBILE LIDAR Paul Mrstik, Vice President Technology Kresimir Kusevic, R&D Engineer Terrapoint Inc. 140-1 Antares Dr. Ottawa, Ontario K2E 8C4 Canada paul.mrstik@terrapoint.com

More information

Preprocessing in Remote Sensing. Introduction Geo Information (GRS 10306)

Preprocessing in Remote Sensing. Introduction Geo Information (GRS 10306) Preprocessing in Remote Sensing Lammert Kooistra Contact: Lammert.Kooistra@wur.nl Introduction Geo Information (GRS 10306) The art of remote sensing source: ASTER satellite (earthobservatory.nasa.gov)

More information

The USGS Landsat Big Data Challenge

The USGS Landsat Big Data Challenge The USGS Landsat Big Data Challenge Brian Sauer Engineering and Development USGS EROS bsauer@usgs.gov U.S. Department of the Interior U.S. Geological Survey USGS EROS and Landsat 2 Data Utility and Exploitation

More information

3D VISUALIZATION OF GEOTHERMAL WELLS DIRECTIONAL SURVEYS AND INTEGRATION WITH DIGITAL ELEVATION MODEL (DEM)

3D VISUALIZATION OF GEOTHERMAL WELLS DIRECTIONAL SURVEYS AND INTEGRATION WITH DIGITAL ELEVATION MODEL (DEM) Presented at Short Course VII on Exploration for Geothermal Resources, organized by UNU-GTP, GDC and KenGen, at Lake Bogoria and Lake Naivasha, Kenya, Oct. 27 Nov. 18, 2012. GEOTHERMAL TRAINING PROGRAMME

More information

Traffic Monitoring Systems. Technology and sensors

Traffic Monitoring Systems. Technology and sensors Traffic Monitoring Systems Technology and sensors Technology Inductive loops Cameras Lidar/Ladar and laser Radar GPS etc Inductive loops Inductive loops signals Inductive loop sensor The inductance signal

More information

Evaluating GCM clouds using instrument simulators

Evaluating GCM clouds using instrument simulators Evaluating GCM clouds using instrument simulators University of Washington September 24, 2009 Why do we care about evaluation of clouds in GCMs? General Circulation Models (GCMs) project future climate

More information

Information Contents of High Resolution Satellite Images

Information Contents of High Resolution Satellite Images Information Contents of High Resolution Satellite Images H. Topan, G. Büyüksalih Zonguldak Karelmas University K. Jacobsen University of Hannover, Germany Keywords: satellite images, mapping, resolution,

More information

GIS and Remote Sensing in Diachronic Study of Agriculture in Greece

GIS and Remote Sensing in Diachronic Study of Agriculture in Greece GIS and Remote Sensing in Diachronic Study of Agriculture in Greece Maria Androulidaki a, Michail Salampasis b, Vagis Samathrakis c, Christos Batzios d a Alexander Technology Educational Institute of Thessaloniki,

More information

How to calculate reflectance and temperature using ASTER data

How to calculate reflectance and temperature using ASTER data How to calculate reflectance and temperature using ASTER data Prepared by Abduwasit Ghulam Center for Environmental Sciences at Saint Louis University September, 2009 This instructions walk you through

More information

Orthophotography CHAPTER GENERAL

Orthophotography CHAPTER GENERAL CHAPTER 14 Orthophotography 14.1 GENERAL Today, many uses for geospatial mapping products require current planimetric feature data. Analysis and design from geospatial data sets generally require a known

More information

STATE OF NEVADA Department of Administration Division of Human Resource Management CLASS SPECIFICATION

STATE OF NEVADA Department of Administration Division of Human Resource Management CLASS SPECIFICATION STATE OF NEVADA Department of Administration Division of Human Resource Management CLASS SPECIFICATION TITLE PHOTOGRAMMETRIST/CARTOGRAPHER V 39 6.102 PHOTOGRAMMETRIST/CARTOGRAPHER II 33 6.110 PHOTOGRAMMETRIST/CARTOGRAPHER

More information

A GIS helps you answer questions and solve problems by looking at your data in a way that is quickly understood and easily shared.

A GIS helps you answer questions and solve problems by looking at your data in a way that is quickly understood and easily shared. A Geographic Information System (GIS) integrates hardware, software, and data for capturing, managing, analyzing, and displaying all forms of geographically referenced information. GIS allows us to view,

More information

Interactions Between Electromagnetic Wave and Targets

Interactions Between Electromagnetic Wave and Targets Interactions Between Electromagnetic Wave and Targets Electromagnetic radiation wavelength λ, frequency ν and the velocity υ have the following relation. λ = υ/ν by: Dr. Kiyoshi Honda Space Technology

More information

Assessment Tasks Pass theory exams at > 70%. Meet, or exceed, outcome criteria for projects and assignments.

Assessment Tasks Pass theory exams at > 70%. Meet, or exceed, outcome criteria for projects and assignments. CENTRAL OREGON COMMUNITY COLLEGE: GEOGRAPHIC INFORMATION SYSTEM PROGRAM 1 CENTRAL OREGON COMMUNITY COLLEGE Associate Degree Geographic Information Systems Program Outcome Guide (POG) Program Outcome Guide

More information

A PHOTOGRAMMETRIC APPRAOCH FOR AUTOMATIC TRAFFIC ASSESSMENT USING CONVENTIONAL CCTV CAMERA

A PHOTOGRAMMETRIC APPRAOCH FOR AUTOMATIC TRAFFIC ASSESSMENT USING CONVENTIONAL CCTV CAMERA A PHOTOGRAMMETRIC APPRAOCH FOR AUTOMATIC TRAFFIC ASSESSMENT USING CONVENTIONAL CCTV CAMERA N. Zarrinpanjeh a, F. Dadrassjavan b, H. Fattahi c * a Islamic Azad University of Qazvin - nzarrin@qiau.ac.ir

More information

METHODOLOGY FOR LANDSLIDE SUSCEPTIBILITY AND HAZARD MAPPING USING GIS AND SDI

METHODOLOGY FOR LANDSLIDE SUSCEPTIBILITY AND HAZARD MAPPING USING GIS AND SDI The 8th International Conference on Geo-information for Disaster Management Intelligent Systems for Crisis Management METHODOLOGY FOR LANDSLIDE SUSCEPTIBILITY AND HAZARD MAPPING USING GIS AND SDI T. Fernández

More information

The Role of SPOT Satellite Images in Mapping Air Pollution Caused by Cement Factories

The Role of SPOT Satellite Images in Mapping Air Pollution Caused by Cement Factories The Role of SPOT Satellite Images in Mapping Air Pollution Caused by Cement Factories Dr. Farrag Ali FARRAG Assistant Prof. at Civil Engineering Dept. Faculty of Engineering Assiut University Assiut, Egypt.

More information

Using Remote Sensing Imagery to Evaluate Post-Wildfire Damage in Southern California

Using Remote Sensing Imagery to Evaluate Post-Wildfire Damage in Southern California Graham Emde GEOG 3230 Advanced Remote Sensing February 22, 2013 Lab #1 Using Remote Sensing Imagery to Evaluate Post-Wildfire Damage in Southern California Introduction Wildfires are a common disturbance

More information

Keystone Image Management System

Keystone Image Management System Image management solutions for satellite and airborne sensors Overview The Keystone Image Management System offers solutions that archive, catalogue, process and deliver digital images from a vast number

More information

Resolutions of Remote Sensing

Resolutions of Remote Sensing Resolutions of Remote Sensing 1. Spatial (what area and how detailed) 2. Spectral (what colors bands) 3. Temporal (time of day/season/year) 4. Radiometric (color depth) Spatial Resolution describes how

More information

Active and Passive Microwave Remote Sensing

Active and Passive Microwave Remote Sensing Active and Passive Microwave Remote Sensing Passive remote sensing system record EMR that was reflected (e.g., blue, green, red, and near IR) or emitted (e.g., thermal IR) from the surface of the Earth.

More information

High Resolution Information from Seven Years of ASTER Data

High Resolution Information from Seven Years of ASTER Data High Resolution Information from Seven Years of ASTER Data Anna Colvin Michigan Technological University Department of Geological and Mining Engineering and Sciences Outline Part I ASTER mission Terra

More information

EVALUATION OF AIRBORNE LIDAR DIGITAL TERRAIN MAPPING FOR HIGHWAY CORRIDOR PLANNING AND DESIGN

EVALUATION OF AIRBORNE LIDAR DIGITAL TERRAIN MAPPING FOR HIGHWAY CORRIDOR PLANNING AND DESIGN Waheed Uddin Director, Center for Advanced Infrastructure Technology, Carrier Hall 203 The University of Mississippi, University, MS 38677-1848, USA cvuddin@olemiss.edu KEY WORDS: Terrain, mapping, airborne,

More information

SESSION 8: GEOGRAPHIC INFORMATION SYSTEMS AND MAP PROJECTIONS

SESSION 8: GEOGRAPHIC INFORMATION SYSTEMS AND MAP PROJECTIONS SESSION 8: GEOGRAPHIC INFORMATION SYSTEMS AND MAP PROJECTIONS KEY CONCEPTS: In this session we will look at: Geographic information systems and Map projections. Content that needs to be covered for examination

More information

DEPARTMENT OF REMOTE SENSING

DEPARTMENT OF REMOTE SENSING DEPARTMENT OF REMOTE SENSING Ph. D. RESEARCH AREA Natural Hazards Disaster Management Natural Resource Management Watershed Management Himalayan Geoenvironment Glaciology Hydrology & Water Resources Climate

More information

Integrating Airborne Hyperspectral Sensor Data with GIS for Hail Storm Post-Disaster Management.

Integrating Airborne Hyperspectral Sensor Data with GIS for Hail Storm Post-Disaster Management. Integrating Airborne Hyperspectral Sensor Data with GIS for Hail Storm Post-Disaster Management. *Sunil BHASKARAN, *Bruce FORSTER, **Trevor NEAL *School of Surveying and Spatial Information Systems, Faculty

More information

DIABLO VALLEY COLLEGE CATALOG 2015-2016

DIABLO VALLEY COLLEGE CATALOG 2015-2016 GEOGRAPHY GEOG Tish Young, Dean Physical Sciences and Engineering Division Physical Sciences Building, Room 263 Possible career opportunities Geography is an interdisciplinary study focusing on the spatial

More information

Contributions of the geospatial fields to monitoring sustainability of urban environments John Trinder. School of Civil and Environmental Engineering

Contributions of the geospatial fields to monitoring sustainability of urban environments John Trinder. School of Civil and Environmental Engineering Contributions of the geospatial fields to monitoring sustainability of urban environments John Trinder School of Civil and Environmental Engineering 2 IMPACT OF HUMAN DEVELOPMENT Humans are modifying the

More information

Notable near-global DEMs include

Notable near-global DEMs include Visualisation Developing a very high resolution DEM of South Africa by Adriaan van Niekerk, Stellenbosch University DEMs are used in many applications, including hydrology [1, 2], terrain analysis [3],

More information

Passive Remote Sensing of Clouds from Airborne Platforms

Passive Remote Sensing of Clouds from Airborne Platforms Passive Remote Sensing of Clouds from Airborne Platforms Why airborne measurements? My instrument: the Solar Spectral Flux Radiometer (SSFR) Some spectrometry/radiometry basics How can we infer cloud properties

More information

MODULE 1 LECTURE NOTES 4 ENERGY INTERACTIONS WITH EARTH SURFACE FEATURES

MODULE 1 LECTURE NOTES 4 ENERGY INTERACTIONS WITH EARTH SURFACE FEATURES MODULE 1 LECTURE NOTES 4 ENERGY INTERACTIONS WITH EARTH SURFACE FEATURES Energy incident on the Earth s surface is absorbed, transmitted or reflected depending on the wavelength and characteristics of

More information

GIS for Educators. Overview:

GIS for Educators. Overview: GIS for Educators Topic 5: Raster Data Objectives: Keywords: Understand what raster data is and how it can be used in a GIS. Raster, Pixel, Remote Sensing, Satellite, Image, Georeference Overview: In the

More information

Calculating surface temperature using Landsat thermal imagery

Calculating surface temperature using Landsat thermal imagery Calculating surface temperature using Landsat thermal imagery Abduwasit Ghulam, PhD Department of Earth & Atmospheric Sciences, and Center for Environmental Sciences Saint Louis University St. Louis, MO

More information

REMOTE SENSING AND ENVIRONMENTAL MONITORING. P. M. Mather School of Geography, The University of Nottingham, U.K.

REMOTE SENSING AND ENVIRONMENTAL MONITORING. P. M. Mather School of Geography, The University of Nottingham, U.K. REMOTE SENSING AND ENVIRONMENTAL MONITORING P. M. Mather School of Geography, The University of Nottingham, U.K. Keywords: Earth observation, image processing, lidar, pattern recognition, radar Contents

More information

The RapidEye optical satellite family for high resolution imagery

The RapidEye optical satellite family for high resolution imagery 'Photogrammetric Week 01' D. Fritsch & R. Spiller, Eds. Wichmann Verlag, Heidelberg 2001. Scherer, Krischke 139 The RapidEye optical satellite family for high resolution imagery STEFAN SCHERER and MANFRED

More information

MAPPING BY AIRBORNE SYNTHETIC APERTURE RADAR (SAR)

MAPPING BY AIRBORNE SYNTHETIC APERTURE RADAR (SAR) MAPPING BY AIRBORNE SYNTHETIC APERTURE RADAR (SAR) Henning SKRIVER, Jesper SCHOU, and Wolfgang DIERKING Department of Electromagnetic Systems Technical University of Denmark, Denmark hs@emi.dtu.dk, www.emi.dtu.dk

More information

Remote Sensing and Land Use Classification: Supervised vs. Unsupervised Classification Glen Busch

Remote Sensing and Land Use Classification: Supervised vs. Unsupervised Classification Glen Busch Remote Sensing and Land Use Classification: Supervised vs. Unsupervised Classification Glen Busch Introduction In this time of large-scale planning and land management on public lands, managers are increasingly

More information

Digital Image Processing

Digital Image Processing Digital Image Processing Muzamil Bhat Abstract: With the large cost involved in launching satellites, probes, sensors to keep an eye on the resources and entities of commercial value necessitates to strengthen

More information

Digital Orthophoto Production In the Desktop Environment 1

Digital Orthophoto Production In the Desktop Environment 1 Digital Orthophoto Production In the Desktop Environment 1 By Dr. Roy A. Welch and Thomas R. Jordan Digital orthophotos are proving suitable for a variety of mapping, GIS and environmental monitoring tasks.

More information

Availability and Potential Use of Low Resolution Satellite Imagery for Peacekeeping and Disaster Management. Mryka Hall-Beyer

Availability and Potential Use of Low Resolution Satellite Imagery for Peacekeeping and Disaster Management. Mryka Hall-Beyer Availability and Potential Use of Low Resolution Satellite Imagery for Peacekeeping and Disaster Management Mryka Hall-Beyer Spatial resolution: The ability to see detail Expectations people have: to be

More information

Satellite Remote Sensing of Volcanic Ash

Satellite Remote Sensing of Volcanic Ash Marco Fulle www.stromboli.net Satellite Remote Sensing of Volcanic Ash Michael Pavolonis NOAA/NESDIS/STAR SCOPE Nowcasting 1 Meeting November 19 22, 2013 1 Outline Getty Images Volcanic ash satellite remote

More information

3D-Canopy Models from Photogrammetry und Radargrammetry

3D-Canopy Models from Photogrammetry und Radargrammetry 3D-Canopy Models from Photogrammetry und Radargrammetry Mathias Schardt JOANNEUM RESEARCH Research Group Remote Sensing and Geoinformation Graz Technical University Institute of Remote Sensing and Photogrammetry

More information

Lecture 1. The nature of electromagnetic radiation.

Lecture 1. The nature of electromagnetic radiation. Lecture 1. The nature of electromagnetic radiation. 1. Basic introduction to the electromagnetic field: Dual nature of electromagnetic radiation Electromagnetic spectrum. Basic radiometric quantities:

More information