Ge111A Remote Sensing and GIS Lecture

Size: px
Start display at page:

Download "Ge111A Remote Sensing and GIS Lecture"

Transcription

1 Ge111A Remote Sensing and GIS Lecture Remote Sensing - many different geophysical data sets. We concentrate on : Imagery (optical, infrared and radar) Topography Geographical Information Systems (GIS) a way to organize the imagery as well as point, line, and shapefile data; useful for cataloguing and searching regional data bases Note: Positions and Positions (GPS lecture next week) For more info there are Caltech classes: Introduction to the Physics of Remote Sensing (EE/Ae 157 ab) Geographic Information System for Geological & Planetary Sciences (Ge110)

2 Why use GIS in a field geophysics class? Understand what is in the field as best you can before you go there: Terrain & topography Geology Roads Access and land ownership (wilderness; military land; etc) Geomorphic features (faults, mountain ranges, drainages) Add your own data and locations to the map (locations of survey points and/or lines) Easily produce base maps showing where different surveys were conducted during the class activities

3

4 Equations relating wavelength, frequency, and speed: λ=c/f f=c/λ If the wave travels at the speed of light, c c=0.3 m/ns = 3x10 8 m/s. A wave with a frequency of Hz has a wavelength, λ, of 3 x 10-7 m, which is 300 nm or 0.3 µm in the ultraviolet part of the spectrum. Thought questions: 1) What happens to the wave if it travels in a medium with speed less than the speed of light? 2) Can you find the mistake in the graph on this page?

5 Measurements conducted from: Satellites Aircraft Handheld sensors Character of imagery is based on the reflectance and backscatter characteristics of the surface, f(λ) Different materials have different spectral behavior (rocks of different kinds, water, vegetation ) Both material type + physical state of material (grain size, weathering) are important

6 Ways you could correct for atmospheric absorption Make atmospheric observations simultaneous with the remote sensing (hard to get usually) Use an atmospheric model of absorption based on other dates or locations Make surface spectrometer measurements for calibration, during the survey or during similar season and time as original survey Don t use bands in the spectral area of max. absorption

7 Atmospheric absorption Spectra of common vegetation + Spectra of common rocks/minerals

8 Landsat: Only 7 spectral bands, not very useful for discerning material types But because of large image spatial extent and reasonable resolution, good for overview

9 ASTER (14 bands) Instrument VNIR SWIR TIR Bands Spatial resolution 15m 30m 90m Swath width 60km 60km 60km Cross track pointing ±318km(± 24 ) ±116km(± 8.6 ) ±116km(± 8.6 )) Quantization (bits) Note: Band 3 has nadir and backward telescopes for stereo pairs from a single orbit.

10 Example: Aster band combination Saline Valley Assign different λ bands or combination of bands to RGB to form color image Thermal infrared bands 13, 12 and 10 as RGB Variations in: quartz content appear as more or less red; carbonate rocks are green mafic volcanic rocks are purple

11 Sensitive to: energy states of electrons in outer shells of transition metals (visible wavelengths) Twisting, rotation, vibrations of bonds in compounds (3-14 micron region) From Hunt (1977) spectral locations of absorption signals for different minerals and rocks

12 Critical questions to ask when using imagery 1. Spatial resolution (pixel size) and does this vary for some reason? 2. Image extent (General rule: target is always on the boundary) 3. Wavelengths 4. $$$$ Common systems Platform Pixel (m) Extent (km) Cost ($) Aster 15/30 60 Free Landsat 4,5,7 15/ $400+* SPOT** 5/10 60 O(1000) Ikonos*** 1/4 10 O(1000) Planes/Helicopter O(10cm) 10**** Quickbird * A variety of cheaper combos exist ** French *** Military **** Camera + height above ground

13

14 Hyperspectral Imagery Multiple bands (images) each at different wavelengths e.g. AVIRIS bands Large data volumes!

15 What is the advantage of hyperspectral images? Much narrower wavelength bands easier to see smaller features in the absorption spectrum.

16 At radar wavelengths, the atmosphere is transparent Frequencies and Wavelength of the IEEE Radar Band designation Band Frequency (GHz) Wavelength (cm) L S C X Ku K Ka

17 SAR/InSAR Platforms Aircraft: Shown here: AIRSAR Measures topography, ocean currents Satellites: Repeat pass Fly over once, repeat days-years later Images Measures deformation and topography Space shuttle: Shuttle Radar Topography Mission (SRTM) From: H. Zebker Both from: JPL

18 Radar is active imaging Natural image coordinates are in units of time: along track & line-of-sight (LOS) range foreshortening layover shadows Imaging radar is side looking (why?) Achieve resolution by clever combination of consecutive radar images: Synthetic Aperture Radar (SAR)

19 Topography (DEM, DTM, DTED, topo, height, ) Methods Land surveys (now GPS or total station) Radar altimeter Air or space borne laser - point or swath mapping altimeter Stereo imagery (air photos, also now satellite) Radar interferometry a.k.a. InSAR (plane, shuttle, satellite) Optical interferometry a.k.a. LiDAR Practical availability U.S.: m/px (USGS, SRTM) on the net m (Airborne InSAR, optical, laser swath) - e.g., TOPSAR Foreign: 90 m/px (SRTM 60S-60N), m/px by begging (classified) 900 m/px open access Make your own (InSAR, optical) m/px

20 Practical Concerns with Imagery and DEMs 1. Continuity of adjacent images 2. Reference mapping information Origin Georeferencing how many tie points are needed? Datum (WGS84, NAD27, NAD83) Projections UTM - eastings and northings (m) Geographic - longitude and latitude (deg) 3. File format # px in x and y coordinates How to store multiple bands (BIL, BIP) Precision (bytes/band/pixel) - always in binary 4. Software (raster + vector) ESRI - ArcGIS ERDAS - Imagine Matlab/IDL (ENVI software) 5. Imaging combinations Shaded relief (intensity) + color (something else) Use Google Earth for simple tasks

21 The next few images are from Jane Dmochowski s PhD thesis (Caltech Seismo Lab, 2005) Isla San Luis is an active volcanic island in the Gulf of California (Mexico) The imagery is Modis-Aster Simulator (MASTER) airborne data, with about a 4 m pixel size. It was collected with a very lowflying small airplane. The MASTER sensor has 50 spectral bands from visible to thermal infrared (TIR).

22

23

24

25 LIDAR light detection and ranging works at optical frequencies; see Fugro s LiDAR Fact Sheet LIDAR images of San Andreas fault from P4 project (high resolution topography) can detect the ground below the trees (multiple return LiDAR processing)

26 Cajon Pass I-15 Fault Crossing

27 Another example of LIDAR data for topography along the San Andreas fault

28 Ge111a GIS project (status as of today) Topo maps 1:24k and 1:100k (USGS) Imagery - NAIP, ASTER, Landsat DEM - NAIP (National Agricultural Imaging Project) Hillshade - NAIP DOQQ - 24K and 100K Geographic features (roads, rivers) Township/range/section grids (BLM) Regional land status data base Data base of Quaternary faults (USGS)

29 Homework part 2 due Thurs March 5 th, Using the class GIS project, construct a basemap(s) of the NE Salton Sea region including the Mecca Hills and the Orocopia Mtns/Diligencia Basin, showing the mapped Quaternary faults. Annotate your map with any geologically or culturally important features (other faults, major alluvial fans, place names, names of faults, etc.) and include scale bars, a geographic reference (latitude/longitude ticks), and a North arrow, as well as legends for any colors or symbols that you use. Print out your map to turn in, but save the file because you will use it later on in the class. 2. Make a perspective image of the Mecca Hills using Google Earth or similar product (based on aerial photographs and an unknown DEM). Sketch on it the locations of major faults. Turn this in with your homework. 3. Use the two maps/images above as well as the results of Part 1 of this homework (the part you did using the GeoCommunicator web site). Write a page answering these two topics: What features are offset by the San Andreas fault in this area? How could you tell that the San Andreas fault is there (if you did not have the mapped trace of it already available to you in the GIS project)? Can you see evidence for any other major fault? Where in this region do you recommend that our class do geophysical surveys across the San Andreas fault? Why do you suggest these locations? The GIS Lab is available to you all the time. It opens with key card access after hours and on weekends. For workstation use, students doing classwork have priority over those doing research. There will be two sessions on Fri. Feb. 27 in the GIS lab: one at 11 and one at 3.

30 See you tomorrow in the GIS lab 309 North Mudd a.m. Thomas Vanessa Zhongwen Dongzhou Lori Sara 3-4 p.m. Nina Veronica

Ge111A Remote Sensing and GIS Lecture

Ge111A Remote Sensing and GIS Lecture Ge111A Remote Sensing and GIS Lecture Remote Sensing - many different geophysical data sets. We concentrate on the following: Imagery (optical and radar) Topography Geographical Information Systems (GIS)

More information

Today s Agenda. GPS Imagery (optical and radar)

Today s Agenda. GPS Imagery (optical and radar) Today s Agenda GPS Imagery (optical and radar) Topography For more info on Remote Sensing, there is a class: Introduction to the Physics of Remote Sensing (EE/Ge 157 abc) GPS Our use of GPS: Location of

More information

Module 3 Introduction to GIS. Lecture 8 GIS data acquisition

Module 3 Introduction to GIS. Lecture 8 GIS data acquisition Module 3 Introduction to GIS Lecture 8 GIS data acquisition GIS workflow Data acquisition (geospatial data input) GPS Remote sensing (satellites, UAV s) LiDAR Digitized maps Attribute Data Management Data

More information

1. Theory of remote sensing and spectrum

1. Theory of remote sensing and spectrum 1. Theory of remote sensing and spectrum 7 August 2014 ONUMA Takumi Outline of Presentation Electromagnetic wave and wavelength Sensor type Spectrum Spatial resolution Spectral resolution Mineral mapping

More information

The studies began when the Tiros satellites (1960) provided man s first synoptic view of the Earth s weather systems.

The studies began when the Tiros satellites (1960) provided man s first synoptic view of the Earth s weather systems. Remote sensing of the Earth from orbital altitudes was recognized in the mid-1960 s as a potential technique for obtaining information important for the effective use and conservation of natural resources.

More information

remote sensing? What are the remote sensing principles behind these Definition

remote sensing? What are the remote sensing principles behind these Definition Introduction to remote sensing: Content (1/2) Definition: photogrammetry and remote sensing (PRS) Radiation sources: solar radiation (passive optical RS) earth emission (passive microwave or thermal infrared

More information

9/12/2011. Training Course Remote Sensing Basic Theory & Image Processing Methods September 2011

9/12/2011. Training Course Remote Sensing Basic Theory & Image Processing Methods September 2011 Training Course Remote Sensing Basic Theory & Image Processing Methods 19 23 September 2011 Remote Sensing Platforms Michiel Damen (September 2011) damen@itc.nl 1 Overview Platforms & missions aerial surveys

More information

9/13/2011. Training Course Remote Sensing Basic Theory & Image Processing Methods September 2011

9/13/2011. Training Course Remote Sensing Basic Theory & Image Processing Methods September 2011 Training Course Remote Sensing Basic Theory & Image Processing Methods 19 23 September 2011 DIGITAL TERRAIN MODELS Introduction Michiel Damen (April 2011) damen@itc.nl 1 Digital Elevation and Terrain Models

More information

Lecture 13: Remotely Sensed Geospatial Data

Lecture 13: Remotely Sensed Geospatial Data Lecture 13: Remotely Sensed Geospatial Data A. The Electromagnetic Spectrum: The electromagnetic spectrum (Figure 1) indicates the different forms of radiation (or simply stated light) emitted by nature.

More information

NON-PHOTOGRAPHIC SYSTEMS: Multispectral Scanners Medium and coarse resolution sensor comparisons: Landsat, SPOT, AVHRR and MODIS

NON-PHOTOGRAPHIC SYSTEMS: Multispectral Scanners Medium and coarse resolution sensor comparisons: Landsat, SPOT, AVHRR and MODIS NON-PHOTOGRAPHIC SYSTEMS: Multispectral Scanners Medium and coarse resolution sensor comparisons: Landsat, SPOT, AVHRR and MODIS CLASSIFICATION OF NONPHOTOGRAPHIC REMOTE SENSORS PASSIVE ACTIVE DIGITAL

More information

Remote Sensing and GIS

Remote Sensing and GIS Remote Sensing and GIS Atmosphere Reflected radiation, e.g. Visible Emitted radiation, e.g. Infrared Backscattered radiation, e.g. Radar (λ) Visible TIR Radar & Microwave 11/9/2017 Geo327G/386G, U Texas,

More information

CHARACTERISTICS OF REMOTELY SENSED IMAGERY. Radiometric Resolution

CHARACTERISTICS OF REMOTELY SENSED IMAGERY. Radiometric Resolution CHARACTERISTICS OF REMOTELY SENSED IMAGERY Radiometric Resolution There are a number of ways in which images can differ. One set of important differences relate to the various resolutions that images express.

More information

Introduction to Remote Sensing Fundamentals of Satellite Remote Sensing. Mads Olander Rasmussen

Introduction to Remote Sensing Fundamentals of Satellite Remote Sensing. Mads Olander Rasmussen Introduction to Remote Sensing Fundamentals of Satellite Remote Sensing Mads Olander Rasmussen (mora@dhi-gras.com) 01. Introduction to Remote Sensing DHI What is remote sensing? the art, science, and technology

More information

Remote Sensing 1 Principles of visible and radar remote sensing & sensors

Remote Sensing 1 Principles of visible and radar remote sensing & sensors Remote Sensing 1 Principles of visible and radar remote sensing & sensors Nick Barrand School of Geography, Earth & Environmental Sciences University of Birmingham, UK Field glaciologist collecting data

More information

RADAR (RAdio Detection And Ranging)

RADAR (RAdio Detection And Ranging) RADAR (RAdio Detection And Ranging) CLASSIFICATION OF NONPHOTOGRAPHIC REMOTE SENSORS PASSIVE ACTIVE DIGITAL CAMERA THERMAL (e.g. TIMS) VIDEO CAMERA MULTI- SPECTRAL SCANNERS VISIBLE & NIR MICROWAVE Real

More information

3/31/03. ESM 266: Introduction 1. Observations from space. Remote Sensing: The Major Source for Large-Scale Environmental Information

3/31/03. ESM 266: Introduction 1. Observations from space. Remote Sensing: The Major Source for Large-Scale Environmental Information Remote Sensing: The Major Source for Large-Scale Environmental Information Jeff Dozier Observations from space Sun-synchronous polar orbits Global coverage, fixed crossing, repeat sampling Typical altitude

More information

IKONOS High Resolution Multispectral Scanner Sensor Characteristics

IKONOS High Resolution Multispectral Scanner Sensor Characteristics High Spatial Resolution and Hyperspectral Scanners IKONOS High Resolution Multispectral Scanner Sensor Characteristics Launch Date View Angle Orbit 24 September 1999 Vandenberg Air Force Base, California,

More information

Monitoring the Earth Surface from space

Monitoring the Earth Surface from space Monitoring the Earth Surface from space Picture of the surface from optical Imagery, i.e. obtained by telescopes or cameras operating in visual bandwith. Shape of the surface from radar imagery Surface

More information

9/12/2011. Training Course Remote Sensing Basic Theory & Image Processing Methods September 2011

9/12/2011. Training Course Remote Sensing Basic Theory & Image Processing Methods September 2011 Training Course Remote Sensing Basic Theory & Image Processing Methods 19 23 September 2011 Introduction to Remote Sensing Michiel Damen (September 2011) damen@itc.nl 1 Overview Some definitions Remote

More information

Introduction of Satellite Remote Sensing

Introduction of Satellite Remote Sensing Introduction of Satellite Remote Sensing Spatial Resolution (Pixel size) Spectral Resolution (Bands) Resolutions of Remote Sensing 1. Spatial (what area and how detailed) 2. Spectral (what colors bands)

More information

INTRODUCTORY REMOTE SENSING. Geob 373

INTRODUCTORY REMOTE SENSING. Geob 373 INTRODUCTORY REMOTE SENSING Geob 373 Landsat 7 15 m image highlighting the geology of Oman http://www.satimagingcorp.com/gallery-landsat.html ASTER 15 m SWIR image, Escondida Mine, Chile http://www.satimagingcorp.com/satellite-sensors/aster.html

More information

ACTIVE SENSORS RADAR

ACTIVE SENSORS RADAR ACTIVE SENSORS RADAR RADAR LiDAR: Light Detection And Ranging RADAR: RAdio Detection And Ranging SONAR: SOund Navigation And Ranging Used to image the ocean floor (produce bathymetic maps) and detect objects

More information

9/12/2011. Training Course Remote Sensing Basic Theory & Image Processing Methods September 2011

9/12/2011. Training Course Remote Sensing Basic Theory & Image Processing Methods September 2011 Training Course Remote Sensing Basic Theory & Image Processing Methods 19 23 September 2011 Popular Remote Sensing Sensors & their Selection Michiel Damen (September 2011) damen@itc.nl 1 Overview Low resolution

More information

An Introduction to Geomatics. Prepared by: Dr. Maher A. El-Hallaq خاص بطلبة مساق مقدمة في علم. Associate Professor of Surveying IUG

An Introduction to Geomatics. Prepared by: Dr. Maher A. El-Hallaq خاص بطلبة مساق مقدمة في علم. Associate Professor of Surveying IUG An Introduction to Geomatics خاص بطلبة مساق مقدمة في علم الجيوماتكس Prepared by: Dr. Maher A. El-Hallaq Associate Professor of Surveying IUG 1 Airborne Imagery Dr. Maher A. El-Hallaq Associate Professor

More information

Important Missions. weather forecasting and monitoring communication navigation military earth resource observation LANDSAT SEASAT SPOT IRS

Important Missions. weather forecasting and monitoring communication navigation military earth resource observation LANDSAT SEASAT SPOT IRS Fundamentals of Remote Sensing Pranjit Kr. Sarma, Ph.D. Assistant Professor Department of Geography Mangaldai College Email: prangis@gmail.com Ph. No +91 94357 04398 Remote Sensing Remote sensing is defined

More information

Some Basic Concepts of Remote Sensing. Lecture 2 August 31, 2005

Some Basic Concepts of Remote Sensing. Lecture 2 August 31, 2005 Some Basic Concepts of Remote Sensing Lecture 2 August 31, 2005 What is remote sensing Remote Sensing: remote sensing is science of acquiring, processing, and interpreting images and related data that

More information

Basic Hyperspectral Analysis Tutorial

Basic Hyperspectral Analysis Tutorial Basic Hyperspectral Analysis Tutorial This tutorial introduces you to visualization and interactive analysis tools for working with hyperspectral data. In this tutorial, you will: Analyze spectral profiles

More information

How to Access Imagery and Carry Out Remote Sensing Analysis Using Landsat Data in a Browser

How to Access Imagery and Carry Out Remote Sensing Analysis Using Landsat Data in a Browser How to Access Imagery and Carry Out Remote Sensing Analysis Using Landsat Data in a Browser Including Introduction to Remote Sensing Concepts Based on: igett Remote Sensing Concept Modules and GeoTech

More information

The studies began when the Tiros satellites (1960) provided man s first synoptic view of the Earth s weather systems.

The studies began when the Tiros satellites (1960) provided man s first synoptic view of the Earth s weather systems. Remote sensing of the Earth from orbital altitudes was recognized in the mid-1960 s as a potential technique for obtaining information important for the effective use and conservation of natural resources.

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

Textbook, Chapter 15 Textbook, Chapter 10 (only 10.6)

Textbook, Chapter 15 Textbook, Chapter 10 (only 10.6) AGOG 484/584/ APLN 551 Fall 2018 Concept definition Applications Instruments and platforms Techniques to process hyperspectral data A problem of mixed pixels and spectral unmixing Reading Textbook, Chapter

More information

On the use of water color missions for lakes in 2021

On the use of water color missions for lakes in 2021 Lakes and Climate: The Role of Remote Sensing June 01-02, 2017 On the use of water color missions for lakes in 2021 Cédric G. Fichot Department of Earth and Environment 1 Overview 1. Past and still-ongoing

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

Solid Earth Timeline with a smattering of cryosphere technology

Solid Earth Timeline with a smattering of cryosphere technology Solid Earth Timeline with a smattering of cryosphere technology Muhammed Kabiru Hassan * Rebecca Boon Image from http://www.clipartheaven.com/show/clipart/technology_&_communication/satellites/satellite_23-gif.html

More information

PEGASUS : a future tool for providing near real-time high resolution data for disaster management. Lewyckyj Nicolas

PEGASUS : a future tool for providing near real-time high resolution data for disaster management. Lewyckyj Nicolas PEGASUS : a future tool for providing near real-time high resolution data for disaster management Lewyckyj Nicolas nicolas.lewyckyj@vito.be http://www.pegasus4europe.com Overview Vito in a nutshell GI

More information

Remote Sensing for Rangeland Applications

Remote Sensing for Rangeland Applications Remote Sensing for Rangeland Applications Jay Angerer Ecological Training June 16, 2012 Remote Sensing The term "remote sensing," first used in the United States in the 1950s by Ms. Evelyn Pruitt of the

More information

Lecture 6: Multispectral Earth Resource Satellites. The University at Albany Fall 2018 Geography and Planning

Lecture 6: Multispectral Earth Resource Satellites. The University at Albany Fall 2018 Geography and Planning Lecture 6: Multispectral Earth Resource Satellites The University at Albany Fall 2018 Geography and Planning Outline SPOT program and other moderate resolution systems High resolution satellite systems

More information

DEMS BASED ON SPACE IMAGES VERSUS SRTM HEIGHT MODELS. Karsten Jacobsen. University of Hannover, Germany

DEMS BASED ON SPACE IMAGES VERSUS SRTM HEIGHT MODELS. Karsten Jacobsen. University of Hannover, Germany DEMS BASED ON SPACE IMAGES VERSUS SRTM HEIGHT MODELS Karsten Jacobsen University of Hannover, Germany jacobsen@ipi.uni-hannover.de Key words: DEM, space images, SRTM InSAR, quality assessment ABSTRACT

More information

An Introduction to Remote Sensing & GIS. Introduction

An Introduction to Remote Sensing & GIS. Introduction An Introduction to Remote Sensing & GIS Introduction Remote sensing is the measurement of object properties on Earth s surface using data acquired from aircraft and satellites. It attempts to measure something

More information

Chapter 8. Remote sensing

Chapter 8. Remote sensing 1. Remote sensing 8.1 Introduction 8.2 Remote sensing 8.3 Resolution 8.4 Landsat 8.5 Geostationary satellites GOES 8.1 Introduction What is remote sensing? One can describe remote sensing in different

More information

APCAS/10/21 April 2010 ASIA AND PACIFIC COMMISSION ON AGRICULTURAL STATISTICS TWENTY-THIRD SESSION. Siem Reap, Cambodia, April 2010

APCAS/10/21 April 2010 ASIA AND PACIFIC COMMISSION ON AGRICULTURAL STATISTICS TWENTY-THIRD SESSION. Siem Reap, Cambodia, April 2010 APCAS/10/21 April 2010 Agenda Item 8 ASIA AND PACIFIC COMMISSION ON AGRICULTURAL STATISTICS TWENTY-THIRD SESSION Siem Reap, Cambodia, 26-30 April 2010 The Use of Remote Sensing for Area Estimation by Robert

More information

COMPARISON OF INFORMATION CONTENTS OF HIGH RESOLUTION SPACE IMAGES

COMPARISON OF INFORMATION CONTENTS OF HIGH RESOLUTION SPACE IMAGES COMPARISON OF INFORMATION CONTENTS OF HIGH RESOLUTION SPACE IMAGES H. Topan*, G. Büyüksalih*, K. Jacobsen ** * Karaelmas University Zonguldak, Turkey ** University of Hannover, Germany htopan@karaelmas.edu.tr,

More information

THREE-DIMENSIONAL MAPPING USING BOTH AIRBORNE AND SPACEBORNE IFSAR TECHNOLOGIES ABSTRACT INTRODUCTION

THREE-DIMENSIONAL MAPPING USING BOTH AIRBORNE AND SPACEBORNE IFSAR TECHNOLOGIES ABSTRACT INTRODUCTION THREE-DIMENSIONAL MAPPING USING BOTH AIRBORNE AND SPACEBORNE IFSAR TECHNOLOGIES Trina Kuuskivi Manager of Value Added Products and Services, Intermap Technologies Corp. 2 Gurdwara Rd, Suite 200, Ottawa,

More information

ASSESSMENT OF SRTM, ACE2 AND ASTER-GDEM USING RTK-GPS

ASSESSMENT OF SRTM, ACE2 AND ASTER-GDEM USING RTK-GPS ASSESSMENT OF SRTM, ACE2 AND ASTER-GDEM USING RTK-GPS Hsing-Chung Chang, Xiaojing Li, Linlin Ge School of Surveying and Spatial Information Systems The University of New South Wales, Sydney, NSW 2052,

More information

Remote Sensing. Ch. 3 Microwaves (Part 1 of 2)

Remote Sensing. Ch. 3 Microwaves (Part 1 of 2) Remote Sensing Ch. 3 Microwaves (Part 1 of 2) 3.1 Introduction 3.2 Radar Basics 3.3 Viewing Geometry and Spatial Resolution 3.4 Radar Image Distortions 3.1 Introduction Microwave (1cm to 1m in wavelength)

More information

EnMAP Environmental Mapping and Analysis Program

EnMAP Environmental Mapping and Analysis Program EnMAP Environmental Mapping and Analysis Program www.enmap.org Mathias Schneider Mission Objectives Regular provision of high-quality calibrated hyperspectral data Precise measurement of ecosystem parameters

More information

746A27 Remote Sensing and GIS

746A27 Remote Sensing and GIS 746A27 Remote Sensing and GIS Lecture 1 Concepts of remote sensing and Basic principle of Photogrammetry Chandan Roy Guest Lecturer Department of Computer and Information Science Linköping University What

More information

Atmospheric interactions; Aerial Photography; Imaging systems; Intro to Spectroscopy Week #3: September 12, 2018

Atmospheric interactions; Aerial Photography; Imaging systems; Intro to Spectroscopy Week #3: September 12, 2018 GEOL 1460/2461 Ramsey Introduction/Advanced Remote Sensing Fall, 2018 Atmospheric interactions; Aerial Photography; Imaging systems; Intro to Spectroscopy Week #3: September 12, 2018 I. Quick Review from

More information

Remote Sensing Platforms

Remote Sensing Platforms Types of Platforms Lighter-than-air Remote Sensing Platforms Free floating balloons Restricted by atmospheric conditions Used to acquire meteorological/atmospheric data Blimps/dirigibles Major role - news

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

John P. Stevens HS: Remote Sensing Test

John P. Stevens HS: Remote Sensing Test Name(s): Date: Team name: John P. Stevens HS: Remote Sensing Test 1 Scoring: Part I - /18 Part II - /40 Part III - /16 Part IV - /14 Part V - /93 Total: /181 2 I. History (3 pts. each) 1. What is the name

More information

Ground Truth for Calibrating Optical Imagery to Reflectance

Ground Truth for Calibrating Optical Imagery to Reflectance Visual Information Solutions Ground Truth for Calibrating Optical Imagery to Reflectance The by: Thomas Harris Whitepaper Introduction: Atmospheric Effects on Optical Imagery Remote sensing of the Earth

More information

Introduction to Remote Sensing

Introduction to Remote Sensing Introduction to Remote Sensing Spatial, spectral, temporal resolutions Image display alternatives Vegetation Indices Image classifications Image change detections Accuracy assessment Satellites & Air-Photos

More information

Remote sensing in archaeology from optical to lidar. Krištof Oštir ModeLTER Scientific Research Centre of the Slovenian Academy of Sciences and Arts

Remote sensing in archaeology from optical to lidar. Krištof Oštir ModeLTER Scientific Research Centre of the Slovenian Academy of Sciences and Arts Remote sensing in archaeology from optical to lidar Krištof Oštir ModeLTER Scientific Research Centre of the Slovenian Academy of Sciences and Arts Introduction Optical remote sensing Systems Search for

More information

746A27 Remote Sensing and GIS. Multi spectral, thermal and hyper spectral sensing and usage

746A27 Remote Sensing and GIS. Multi spectral, thermal and hyper spectral sensing and usage 746A27 Remote Sensing and GIS Lecture 3 Multi spectral, thermal and hyper spectral sensing and usage Chandan Roy Guest Lecturer Department of Computer and Information Science Linköping University Multi

More information

Remote Sensing in Daily Life. What Is Remote Sensing?

Remote Sensing in Daily Life. What Is Remote Sensing? Remote Sensing in Daily Life What Is Remote Sensing? First time term Remote Sensing was used by Ms Evelyn L Pruitt, a geographer of US in mid 1950s. Minimal definition (not very useful): remote sensing

More information

Int n r t o r d o u d c u ti t on o n to t o Remote Sensing

Int n r t o r d o u d c u ti t on o n to t o Remote Sensing Introduction to Remote Sensing Definition of Remote Sensing Remote sensing refers to the activities of recording/observing/perceiving(sensing)objects or events at far away (remote) places. In remote sensing,

More information

Using Freely Available. Remote Sensing to Create a More Powerful GIS

Using Freely Available. Remote Sensing to Create a More Powerful GIS Using Freely Available Government Data and Remote Sensing to Create a More Powerful GIS All rights reserved. ENVI, E3De, IAS, and IDL are trademarks of Exelis, Inc. All other marks are the property of

More information

Geo/SAT 2 INTRODUCTION TO REMOTE SENSING

Geo/SAT 2 INTRODUCTION TO REMOTE SENSING Geo/SAT 2 INTRODUCTION TO REMOTE SENSING Paul R. Baumann, Professor Emeritus State University of New York College at Oneonta Oneonta, New York 13820 USA COPYRIGHT 2008 Paul R. Baumann Introduction Remote

More information

Remote sensing image correction

Remote sensing image correction Remote sensing image correction Introductory readings remote sensing http://www.microimages.com/documentation/tutorials/introrse.pdf 1 Preprocessing Digital Image Processing of satellite images can be

More information

Lecture 1 Introduction to Remote Sensing

Lecture 1 Introduction to Remote Sensing Lecture 1 Introduction to Remote Sensing Dr Ian Leiper School of Environmental and Life Sciences Bldg Purple 12.2.27 1 2 Lecture Outline Introductions Unit admin Learning outcomes Unit outline Practicals

More information

REMOTE SENSING INTERPRETATION

REMOTE SENSING INTERPRETATION REMOTE SENSING INTERPRETATION Jan Clevers Centre for Geo-Information - WU Remote Sensing --> RS Sensor at a distance EARTH OBSERVATION EM energy Earth RS is a tool; one of the sources of information! 1

More information

EE 529 Remote Sensing Techniques. Introduction

EE 529 Remote Sensing Techniques. Introduction EE 529 Remote Sensing Techniques Introduction Course Contents Radar Imaging Sensors Imaging Sensors Imaging Algorithms Imaging Algorithms Course Contents (Cont( Cont d) Simulated Raw Data y r Processing

More information

MODULE 7 LECTURE NOTES 3 SHUTTLE RADAR TOPOGRAPHIC MISSION DATA

MODULE 7 LECTURE NOTES 3 SHUTTLE RADAR TOPOGRAPHIC MISSION DATA MODULE 7 LECTURE NOTES 3 SHUTTLE RADAR TOPOGRAPHIC MISSION DATA 1. Introduction Availability of a reasonably accurate elevation information for many parts of the world was once very much limited. Dense

More information

Microwave Remote Sensing (1)

Microwave Remote Sensing (1) Microwave Remote Sensing (1) Microwave sensing encompasses both active and passive forms of remote sensing. The microwave portion of the spectrum covers the range from approximately 1cm to 1m in wavelength.

More information

Blacksburg, VA July 24 th 30 th, 2010 Remote Sensing Page 1. A condensed overview. For our purposes

Blacksburg, VA July 24 th 30 th, 2010 Remote Sensing Page 1. A condensed overview. For our purposes A condensed overview George McLeod Prepared by: With support from: NSF DUE-0903270 in partnership with: Geospatial Technician Education Through Virginia s Community Colleges (GTEVCC) The art and science

More information

GIS Data Collection. Remote Sensing

GIS Data Collection. Remote Sensing GIS Data Collection Remote Sensing Data Collection Remote sensing Introduction Concepts Spectral signatures Resolutions: spectral, spatial, temporal Digital image processing (classification) Other systems

More information

Geology, Exploration, and WorldView-3 SWIR Kumar Navulur, PhD

Geology, Exploration, and WorldView-3 SWIR Kumar Navulur, PhD Geology, Exploration, and WorldView-3 SWIR Kumar Navulur, PhD Mt Everest Digital Elevation Model 0.5 m WorldView 2 2m False Color IR Drape DigitalGlobe Proprietary. DigitalGlobe. All rights reserved. Agenda

More information

Synthetic aperture RADAR (SAR) principles/instruments October 31, 2018

Synthetic aperture RADAR (SAR) principles/instruments October 31, 2018 GEOL 1460/2461 Ramsey Introduction to Remote Sensing Fall, 2018 Synthetic aperture RADAR (SAR) principles/instruments October 31, 2018 I. Reminder: Upcoming Dates lab #2 reports due by the start of next

More information

ArcGIS Online Content

ArcGIS Online Content Esri International User Conference San Diego, California Technical Workshops July 25, 2012 ArcGIS Online Content Deane Kensok Sarah Osborne Today s Agenda Overview Esri Content Portfolio - What s Available,

More information

Multispectral Scanners for Wildland Fire Assessment NASA Ames Research Center Earth Science Division. Bruce Coffland U.C.

Multispectral Scanners for Wildland Fire Assessment NASA Ames Research Center Earth Science Division. Bruce Coffland U.C. Multispectral Scanners for Wildland Fire Assessment NASA Earth Science Division Bruce Coffland U.C. Santa Cruz Slide Fire Burn Area (MASTER/B200) R 2.2um G 0.87um B 0.65um Airborne Science & Technology

More information

RADAR REMOTE SENSING

RADAR REMOTE SENSING RADAR REMOTE SENSING Jan G.P.W. Clevers & Steven M. de Jong Chapter 8 of L&K 1 Wave theory for the EMS: Section 1.2 of L&K E = electrical field M = magnetic field c = speed of light : propagation direction

More information

The Global Imager (GLI)

The Global Imager (GLI) The Global Imager (GLI) Launch : Dec.14, 2002 Initial check out : to Apr.14, 2003 (~L+4) First image: Jan.25, 2003 Second image: Feb.6 and 7, 2003 Calibration and validation : to Dec.14, 2003(~L+4) for

More information

Satellite Imagery and Remote Sensing. DeeDee Whitaker SW Guilford High EES & Chemistry

Satellite Imagery and Remote Sensing. DeeDee Whitaker SW Guilford High EES & Chemistry Satellite Imagery and Remote Sensing DeeDee Whitaker SW Guilford High EES & Chemistry whitakd@gcsnc.com Outline What is remote sensing? How does remote sensing work? What role does the electromagnetic

More information

Designing a Remote Sensing Project. Many factors to consider: here lumped into 12 sections hold on!! first some basic concepts

Designing a Remote Sensing Project. Many factors to consider: here lumped into 12 sections hold on!! first some basic concepts Designing a Remote Sensing Project Many factors to consider: here lumped into 12 sections hold on!! first some basic concepts DVC Geography 160 Introduction to Remote Sensing J. Ellis DigitalGlobe (2006)

More information

ANALYSIS OF SRTM HEIGHT MODELS

ANALYSIS OF SRTM HEIGHT MODELS ANALYSIS OF SRTM HEIGHT MODELS Sefercik, U. *, Jacobsen, K.** * Karaelmas University, Zonguldak, Turkey, ugsefercik@hotmail.com **Institute of Photogrammetry and GeoInformation, University of Hannover,

More information

Abstract Quickbird Vs Aerial photos in identifying man-made objects

Abstract Quickbird Vs Aerial photos in identifying man-made objects Abstract Quickbird Vs Aerial s in identifying man-made objects Abdullah Mah abdullah.mah@aramco.com Remote Sensing Group, emap Division Integrated Solutions Services Department (ISSD) Saudi Aramco, Dhahran

More information

Principles of Remote Sensing. Shuttle Radar Topography Mission S R T M. Michiel Damen. Dept. Earth Systems Analysis

Principles of Remote Sensing. Shuttle Radar Topography Mission S R T M. Michiel Damen. Dept. Earth Systems Analysis Principles of Remote Sensing Shuttle Radar Topography Mission S R T M Michiel Damen Dept. Earth Systems Analysis Contents Present problems with DEMs Advantage of SRTM Cell size Mission and system Radar

More information

Fundamentals of Remote Sensing

Fundamentals of Remote Sensing Climate Variability, Hydrology, and Flooding Fundamentals of Remote Sensing May 19-22, 2015 GEO-Latin American & Caribbean Water Cycle Capacity Building Workshop Cartagena, Colombia 1 Objective To provide

More information

CHARACTERISTICS OF REMOTELY SENSED IMAGERY. Spatial Resolution

CHARACTERISTICS OF REMOTELY SENSED IMAGERY. Spatial Resolution CHARACTERISTICS OF REMOTELY SENSED IMAGERY Spatial Resolution There are a number of ways in which images can differ. One set of important differences relate to the various resolutions that images express.

More information

Aerial photography and Remote Sensing. Bikini Atoll, 2013 (60 years after nuclear bomb testing)

Aerial photography and Remote Sensing. Bikini Atoll, 2013 (60 years after nuclear bomb testing) Aerial photography and Remote Sensing Bikini Atoll, 2013 (60 years after nuclear bomb testing) Computers have linked mapping techniques under the umbrella term : Geomatics includes all the following spatial

More information

UNERSITY OF NAIROBI UNIT: PRICIPLES AND APPLICATIONS OF REMOTE SENSING AND APLLIED CLIMATOLOGY

UNERSITY OF NAIROBI UNIT: PRICIPLES AND APPLICATIONS OF REMOTE SENSING AND APLLIED CLIMATOLOGY UNERSITY OF NAIROBI DEPARTMENT OF METEOROLOGY UNIT: PRICIPLES AND APPLICATIONS OF REMOTE SENSING AND APLLIED CLIMATOLOGY COURSE CODE: SMR 308 GROUP TWO: SENSORS MEMBERS OF GROUP TWO 1. MUTISYA J.M I10/2784/2006

More information

Final Examination Introduction to Remote Sensing. Time: 1.5 hrs Max. Marks: 50. Section-I (50 x 1 = 50 Marks)

Final Examination Introduction to Remote Sensing. Time: 1.5 hrs Max. Marks: 50. Section-I (50 x 1 = 50 Marks) Final Examination Introduction to Remote Sensing Time: 1.5 hrs Max. Marks: 50 Note: Attempt all questions. Section-I (50 x 1 = 50 Marks) 1... is the technology of acquiring information about the Earth's

More information

GEO 428: DEMs from GPS, Imagery, & Lidar Tuesday, September 11

GEO 428: DEMs from GPS, Imagery, & Lidar Tuesday, September 11 GEO 428: DEMs from GPS, Imagery, & Lidar Tuesday, September 11 Global Positioning Systems GPS is a technology that provides Location coordinates Elevation For any location with a decent view of the sky

More information

Visualizing a Pixel. Simulate a Sensor s View from Space. In this activity, you will:

Visualizing a Pixel. Simulate a Sensor s View from Space. In this activity, you will: Simulate a Sensor s View from Space In this activity, you will: Measure and mark pixel boundaries Learn about spatial resolution, pixels, and satellite imagery Classify land cover types Gain exposure to

More information

NEC s EO Sensors and Data Applications

NEC s EO Sensors and Data Applications NEC s EO Sensors and Data Applications Second Singapore Space Symposium 30 September, 2015 Nanyang Technological University, Singapore Shimpei Kondo Space Technologies Department, Space System Division,

More information

(Presented by Jeppesen) Summary

(Presented by Jeppesen) Summary International Civil Aviation Organization SAM/IG/6-IP/06 South American Regional Office 24/09/10 Sixth Workshop/Meeting of the SAM Implementation Group (SAM/IG/6) - Regional Project RLA/06/901 Lima, Peru,

More information

Introduction to Remote Sensing

Introduction to Remote Sensing Introduction to Remote Sensing Dr. Mathias (Mat) Disney UCL Geography Office: 301, 3rd Floor, Chandler House Tel: 7670 4290 Email: mdisney@ucl.geog.ac.uk www.geog.ucl.ac.uk/~mdisney 1 Course outline Format

More information

REMOTE SENSING. Topic 10 Fundamentals of Digital Multispectral Remote Sensing MULTISPECTRAL SCANNERS MULTISPECTRAL SCANNERS

REMOTE SENSING. Topic 10 Fundamentals of Digital Multispectral Remote Sensing MULTISPECTRAL SCANNERS MULTISPECTRAL SCANNERS REMOTE SENSING Topic 10 Fundamentals of Digital Multispectral Remote Sensing Chapter 5: Lillesand and Keifer Chapter 6: Avery and Berlin MULTISPECTRAL SCANNERS Record EMR in a number of discrete portions

More information

DEFENSE APPLICATIONS IN HYPERSPECTRAL REMOTE SENSING

DEFENSE APPLICATIONS IN HYPERSPECTRAL REMOTE SENSING DEFENSE APPLICATIONS IN HYPERSPECTRAL REMOTE SENSING James M. Bishop School of Ocean and Earth Science and Technology University of Hawai i at Mānoa Honolulu, HI 96822 INTRODUCTION This summer I worked

More information

ESA Radar Remote Sensing Course ESA Radar Remote Sensing Course Radar, SAR, InSAR; a first introduction

ESA Radar Remote Sensing Course ESA Radar Remote Sensing Course Radar, SAR, InSAR; a first introduction Radar, SAR, InSAR; a first introduction Ramon Hanssen Delft University of Technology The Netherlands r.f.hanssen@tudelft.nl Charles University in Prague Contents Radar background and fundamentals Imaging

More information

ASTER ADVANCED SPACEBORNE THERMAL EMISSION AND REFLECTION RADIOMETER

ASTER ADVANCED SPACEBORNE THERMAL EMISSION AND REFLECTION RADIOMETER ASTER ADVANCED SPACEBORNE THERMAL EMISSION AND REFLECTION RADIOMETER Front Cover image: Simulated ASTER images of Death Valley, California. The visible image (left) shows vegetation in red, salt deposits

More information

to Geospatial Technologies

to Geospatial Technologies What s in a Pixel? A Primer for Remote Sensing What s in a Pixel Development UNH Cooperative Extension Geospatial Technologies Training Center Shane Bradt UConn Cooperative Extension Geospatial Technology

More information

Background Objectives Study area Methods. Conclusions and Future Work Acknowledgements

Background Objectives Study area Methods. Conclusions and Future Work Acknowledgements A DIGITAL PROCESSING AND DATA COMPILATION APPROACH FOR USING REMOTELY SENSED IMAGERY TO IDENTIFY GEOLOGICAL LINEAMENTS IN HARD-ROCK ROCK TERRAINS: AN APPLICATION FOR GROUNDWATER EXPLORATION IN NICARAGUA

More information

Introduction to Satellite Remote Sensing

Introduction to Satellite Remote Sensing Introduction to Satellite Remote Sensing Remote sensing of the Earth from orbital altitudes was recognized in the mid-1960 s as a potential technique for obtaining information important for the effective

More information

Remote Sensing of Active-Fire and Post-Fire Effects. Presentation 1-3 A Brief History of Fire-Related Remote Sensing

Remote Sensing of Active-Fire and Post-Fire Effects. Presentation 1-3 A Brief History of Fire-Related Remote Sensing Remote Sensing of Active-Fire and Post-Fire Effects Presentation 1-3 A Brief History of Fire-Related Remote Sensing Good Day! This lecture is entitled a brief history of fire-related remote sensing. In

More information

Outline for today. Geography 411/611 Remote sensing: Principles and Applications. Remote sensing: RS for biogeochemical cycles

Outline for today. Geography 411/611 Remote sensing: Principles and Applications. Remote sensing: RS for biogeochemical cycles Geography 411/611 Remote sensing: Principles and Applications Thomas Albright, Associate Professor Laboratory for Conservation Biogeography, Department of Geography & Program in Ecology, Evolution, & Conservation

More information

Satellite Imagery Characteristics, Uses and Delivery to GIS Systems. Wayne Middleton April 2014

Satellite Imagery Characteristics, Uses and Delivery to GIS Systems. Wayne Middleton April 2014 Satellite Imagery Characteristics, Uses and Delivery to GIS Systems Wayne Middleton April 2014 About Geoimage Founded in Brisbane 1988 Leading Independent company Specialists in satellite imagery and geospatial

More information

Microwave Remote Sensing

Microwave Remote Sensing Provide copy on a CD of the UCAR multi-media tutorial to all in class. Assign Ch-7 and Ch-9 (for two weeks) as reading material for this class. HW#4 (Due in two weeks) Problems 1,2,3 and 4 (Chapter 7)

More information

URBAN MONITORING USING PERSISTENT SCATTERER INSAR AND PHOTOGRAMMETRY

URBAN MONITORING USING PERSISTENT SCATTERER INSAR AND PHOTOGRAMMETRY URBAN MONITORING USING PERSISTENT SCATTERER INSAR AND PHOTOGRAMMETRY Junghum Yu *, Alex Hay-Man Ng, Sungheuk Jung, Linlin Ge, and Chris Rizos. School of Surveying and Spatial Information Systems, University

More information