More Remote Sensing Today- - announcements - Review of few concepts - Measurements from imagery - Satellites and Scanners.

Slides:



Advertisements
Similar presentations
Remote Sensing. Readings: and lecture notes Figures to Examine: to Examine the Image from IKONOS, and compare it with the others.
Advertisements

Remote Sensing GIS/Remote Sensing Workshop June 6, 2013.
Interpreting land surface features SWAC module 3.
Aerial Photography Aerial platforms are primarily stable wing aircraft. Aircraft are often used to collect very detailed images and facilitate the collection.
WFM 6202: Remote Sensing and GIS in Water Management © Dr. Akm Saiful IslamDr. Akm Saiful Islam WFM 6202: Remote Sensing and GIS in Water Management Akm.
Resolution.
Landsat-based thermal change of Nisyros Island (volcanic)
Multispectral Remote Sensing Systems
Remote sensing in meteorology
Remote Sensing of Our Environment Using Satellite Digital Images to Analyze the Earth’s Surface.
Introduction to Remote Sensing Principles
Lecture 20: Introduction to Remote Sensing Principles By Weiqi Zhou University of Vermont Using GIS-- Introduction to GIS Thanks are due to Austin.
Remote Sensing What is Remote Sensing? What is Remote Sensing? Sample Images Sample Images What do you need for it to work? What do you need for it to.
CS 128/ES Lecture 9b1 Photogrammetry & Image Analysis.
January 20, 2006 Geog 258: Maps and GIS
Remote Sensing Part 1.
Integration of sensors for photogrammetry and remote sensing 8 th semester, MS 2005.
Principals of Remote Sensing
CS 128/ES Lecture 9a1 Principles of Remote Sensing Image from NASA – Goddard Space Flight Center, NOAA GOES-8 satellite, 2 Sep ’94, 1800 UT.
Introduction to Digital Data and Imagery
Carolyn J. Merry NCRST-Flows The Ohio State University.
Remote Sensing 2012 SUMMER INSTITUTE. Presented by: Mark A. Van Hecke National Science Olympiad Earth-Space Science Event Chair Roy Highberg North Carolina.
Satellite Imagery ARSET Applied Remote SEnsing Training A project of NASA Applied Sciences Introduction to Remote Sensing and Air Quality Applications.
Photogrammetry and Multispectral Remote Sensing Lecture 3 September 8, 2004.
Copyright © 2003 Leica Geosystems GIS & Mapping, LLC Turning Imagery into Information Suzie Noble, Product Specialist Leica Geosystems Denver, CO.
Remote Sensing What is Remote Sensing? What is Remote Sensing? Sample Images Sample Images What do you need for it to work? What do you need for it to.
Remote Sensing Applications Supporting Regional Transportation Database Development CLEM 2001 August 6, 2001 Santa Barbara, CA Chris Chiesa,
Introduction to Remote Sensing. Outline What is remote sensing? The electromagnetic spectrum (EMS) The four resolutions Image Classification Incorporation.
Aerial Photographs and Remote Sensing Aerial Photographs For years geographers have used aerial photographs to study the Earth’s surface. In many ways.
Digital Numbers The Remote Sensing world calls cell values are also called a digital number or DN. In most of the imagery we work with the DN represents.
Spectral Characteristics
Remotely Sensed Data EMP 580 Fall 2015 Dr. Jim Graham Materials from Sara Hanna.
Resolution A sensor's various resolutions are very important characteristics. These resolution categories include: spatial spectral temporal radiometric.
Resolution Resolution. Landsat ETM+ image Learning Objectives Be able to name and define the four types of data resolution. Be able to calculate the.
Pictures are worth a thousand words…. Introduction to Remote Sensing Spatial, spectral, temporal resolutions Image display alternatives Vegetation Indices.
10/23/2015 GEM Lecture 4 Content Electromagnetic wave.
Remote Sensing. Vulnerability is the degree to which a system is susceptible to, or unable to cope with, adverse effects of climate change, including.
Support the spread of “good practice” in generating, managing, analysing and communicating spatial information Introduction to Remote Sensing Images By:
Remote Sensing Introduction to light and color. What is remote sensing? Introduction to satellite imagery. 5 resolutions of satellite imagery. Satellite.
What is an image? What is an image and which image bands are “best” for visual interpretation?
Remote Sensing Data Acquisition. 1. Major Remote Sensing Systems.
Satellite Imagery and Remote Sensing DeeDee Whitaker SW Guilford High EES & Chemistry
Satellite Imagery ARSET - AQ Applied Remote SEnsing Training – Air Quality A project of NASA Applied Sciences NASA ARSET- AQ – EPA Training September 29,
CHARACTERISTICS OF OPTICAL SENSORS Course: Introduction to RS & DIP Mirza Muhammad Waqar Contact: EXT:2257 RG610.
Applying Pixel Values to Digital Images
Violet:  m Blue:  m Green:  m Yellow:  m Orange:  m Red:
Data Models, Pixels, and Satellite Bands. Understand the differences between raster and vector data. What are digital numbers (DNs) and what do they.
Introduction to Aerial Stereo Photographs
REMOTE SENSING DATA Markus Törmä Institute of Photogrammetry and Remote Sensing Helsinki University of Technology
Satellite Imagery and Remote Sensing DeeDee Whitaker SW Guilford High EES & Chemistry
Orbits and Sensors Multispectral Sensors. Satellite Orbits Orbital parameters can be tuned to produce particular, useful orbits Geostationary Sun synchronous.
Satellite Image Pixel Size vs Mapping Scale
Colour air photo: 15th / University Way
Landsat-based thermal change of Nisyros Island (volcanic)
ERT 247 SENSOR & PLATFORM.
Remote Sensing What is Remote Sensing? Sample Images
Digital Numbers The Remote Sensing world calls cell values are also called a digital number or DN. In most of the imagery we work with the DN represents.
GS 5102: Introduction to Remote Sensing
Satellite Sensors – Historical Perspectives
Introduction to Remote-Sensing
EMP 580 Fall 2015 Dr. Jim Graham Materials from Sara Hanna
Review of Satellite Imagery
Introduction and Basic Concepts
Landsat (same day) data viewer
Review of Satellite Imagery
Remote sensing in meteorology
Review of Satellite Imagery
Remote Sensing Landscape Changes Before and After King Fire 2014
Calculating land use change in west linn from
Presentation transcript:

More Remote Sensing Today- - announcements - Review of few concepts - Measurements from imagery - Satellites and Scanners

Announcements ► Should read chapter 6 for Thursday. Not on Syllabus! ► Bring rulers to class on Thursday… if you got one.

Last lecture we talked about… ► Remote sensing ► Map interpretation ► Geographical data acquisition, management, and analysis ► Introduction to Geographic Information Systems ► Map production

Remote Sensing ► …is the gathering of information by means of a sensor that is not in contact with the object being detected.

Nature of EM radiation

Atmospheric windows

Remote Sensing ► Types of sensors  Active  Passive

Remote Sensing ► See page 254 in Campbell  Film ► Panchromatic ► Color ► False Color IR  Sensors ► Narrow-band ► Multispectral devices

Remote Sensing ► How the image is taken..  Vertical  High-oblique (with horizon)  Low-oblique (without horizon)

Remote Sensing ► vertical

Remote Sensing ► oblique

Remote Sensing ► oblique

Remote Sensing ► Why use obliques??

Remote Sensing ► Why use obliques??

Remote Sensing ► Summary of a few things…  Remote sensing instruments can be divided in many different ways… ► Active / passive ► Film / sensor ► Narrow band / multispectral ► Angle of photo / scan

Remote Sensing ► Aerial Photos…  how they are made… p. 258  Planimetric Shift… p. 260

OK, so… some new stuff… ► Scale…..  Large and small

Scale ► Large scale is local ► Small scale is global

Scale ► Word scales ► Representative fraction ► Graphic

Scale ► 1:24,000 topos ► Brits do word scale.. 1 inch represents one mile A.K.A. 1 : 63,360

Graphic scale

Finding scale on an image ► Find something on photo with a known size ► Compare to a map or other photo with a known scale.

Measuring stuff on an image - Photogrammetry - ► Linear  Dimensional analysis

Measuring stuff on an image - Photogrammetry - ► Linear  Dimensional analysis ► Area

Measuring stuff on an image - Photogrammetry - ► But what if they are squiggly features??? ► Linear  Dimensional analysis ► Area

Measuring stuff on an image - Photogrammetry - ► Linear  Dimensional analysis ► Area ► Height  Shadows  Planimetric shift

See photo in Remote Sensing book ► Video projector

Measuring stuff on an image - Photogrammetry – ► What about the effects of mountains and terrain on measurements?? ► Linear  Dimensional analysis ► Area ► Height  Shadows  Planimetric shift

Scanners and satellite imagery ► How scanners work…. As opposed to photos ► Pixels ► Often 256 values 0 – 255 levels of detection ► Multispectral  Bands covered… 3 in visible, near IR and Far IR  Also radar and microwave (active systems)

► A brief history of satellites ► 1972 Landsat.  1-4 no longer work, 6 bit it. 5 and 7 still working  Cover same spot on earth about every 16 days  “Whisk broom scanner”  Multispectral scanner and thematic mapper Start here….. Scanners and satellite imagery

Scanners and satellite imagery ► Multispectral scanner  79 by 79 resolution  See page 272 (top) for bands covered

► The MSS can simulate rather crude spectral signatures. Bands 4, 5, and 6 each have a bandwidth of 0.1 µm; and band 7's width is 0.3 µm. We represent band responses by bars in a histogram-like plot, in which the height of the bar signifies the relative reflectances averaged for all wavelengths within the bandwidth interval.. From…

From /remotesens/iraq.php. Landsat image: MSS Bands 4, 2 and 1, taken on 16 February 1973, 14 February 1975 and 27 May /remotesens/iraq.php /remotesens/iraq.php

Scanners and satellite imagery ► Multispectral scanner  79 by 79 resolution  See page 272 (top) for bands covered ► thematic mapper  30 x 30 resolution (thermal – 120 or 60)  See page 273 for bands covered

Scanners and satellite imagery ► Resolution  Object needs to be 2x resolution to be seen (reliably)

► From ch/proser/remotesens/ iraq.php. Landsat image: ETM Bands 4, 3 and 2, taken on 26 March and 4 May ch/proser/remotesens/ iraq.php ch/proser/remotesens/ iraq.php

Atmospheric windows

► TM image ► Bands 2, 3, 4 ► Displayed blue, green, red

► 25-Meter MultispectraL, Landsat TM, Bands 7,4,3 (RGB), Acquired February 13, In this image of Hong Kong, vegetation appears in green, bare soil is reddish purple, and urban features are purple and white. This particular band combination easily distinguishes water/land boundaries because water bodies (shown in black) contrast strongly with colorful land features. ► From gov/images/gallery.html

Scanners and satellite imagery ► SPOT  ‘push-broom’ scanner  3 visible and near IR  20 meter multispect and 10 meter single  Fly-over same spot each 20 days (apx)  Can be pointed away from vertical. Uses? ► Stereopairs, more frequent observations

Scanners and satellite imagery ► IKONOS  1 meter (page 274 in book) ► Active  Radar and microwave ► Military  ??????

Scanners and satellite imagery ► Contrast stretching and edge enhancement (page. 276)

To Summarize……

Remote Sensing ► Summary of a few things…  Remote sensing instruments can be divided in many different ways… ► Active / passive ► Film / sensor ► Narrow band / multispectral ► Angle of photo / scan

Photogrammetry ► Summary  Scale  Measurements, linear, area, height  Dimensional analysis  Effects of topography

Scanners and satellite imagery ► Summary  Pixels and scanners  MSS, TM, SPOT, etc  Resolution  Bands  ‘false color’  Comparisons  Image enhancement