Juan de Dios Barrios, M.S. Research Associate Nick J. Rahall Appalachian Transportation Institute and James O. Brumfield, Ph. D. College of Science Marshall.

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

Resolution.
Remote Sensing Media Aircraft BasedAircraft Based –photography (BW, Color), infrared (BW, Color) –RADAR (SLAR, SAR) –LIDAR (light detection and ranging)
Orbits and Sensors Multispectral Sensors
Multispectral Remote Sensing Systems
Remote Sensing of Our Environment Using Satellite Digital Images to Analyze the Earth’s Surface.
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.
Introduction, Satellite Imaging. Platforms Used to Acquire Remote Sensing Data Aircraft Low, medium & high altitude Higher level of spatial detail Satellite.
Oceanography from Space. Landsat images show how much energy from the sun (electromagnetic radiation) was reflecting off the Earth's surface when.
Geosynchronous Orbit A satellite in geosynchronous orbit circles the earth once each day. The time it takes for a satellite to orbit the earth is called.
More Remote Sensing Today- - announcements - Review of few concepts - Measurements from imagery - Satellites and Scanners.
Hyperspectral Satellite Imaging Planning a Mission Victor Gardner University of Maryland 2007 AIAA Region 1 Mid-Atlantic Student Conference National Institute.
Aerial photography and satellite imagery as data input GEOG 4103, Feb 20th Adina Racoviteanu.
Carolyn J. Merry NCRST-Flows The Ohio State University.
Course: Introduction to RS & DIP
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.
Visible Satellite Imagery Spring 2015 ARSET - AQ Applied Remote Sensing Education and Training – Air Quality A project of NASA Applied Sciences Week –
Copyright © 2003 Leica Geosystems GIS & Mapping, LLC Turning Imagery into Information Suzie Noble, Product Specialist Leica Geosystems Denver, CO.
An Overview of 3S Technology (GIS/GPS/RS) with an Example of District Transport Master Plan (DTMP) By Binod Dhakal 12/20/2014Binod Dhakal1.
OC3522Summer 2001 OC Remote Sensing of the Atmosphere and Ocean - Summer 2001 Land/Ice Surface & Applications.
Geography 1010 Remote Sensing. Outline Last Lecture –Electromagnetic energy. –Spectral Signatures. Today’s Lecture –Spectral Signatures. –Satellite Remote.
Satellite Imagery and Remote Sensing NC Climate Fellows June 2012 DeeDee Whitaker SW Guilford High Earth/Environmental Science & Chemistry.
Imagery for the Nation and the changing landscape Remote sensing systems overview Geo-spatial requirements for GIS Technology advancements in sensing systems.
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.
Geography 372 Fall 2003November 4, Remote Sensing of the Land Surface: High Spatial Resolution Michael D. King & Compton J. Tucker Outline  Land.
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.
Learning Objectives Nature of Light Color & Spectroscopy ALTA Spectrophotometer Spectral Signature of Substances Interpretation of Satellite Images.
Spectral Characteristics
Remotely Sensed Data EMP 580 Fall 2015 Dr. Jim Graham Materials from Sara Hanna.
Remote Sensing with Multispectral Scanners. Multispectral scanners First developed in early 1970’s Why use? Concept: Gather data from very specific wavelengths.
Slide: 1 27 th CEOS Plenary |Montréal | November 2013 Vu Anh TUAN Earth Observation Satellite projects in Vietnam.
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.
10/12/2015 GEM Lecture 10 Content Other Satellites.
Christine Urbanowicz Prepared for NC Climate Fellows Workshop June 21, 2011.
What is an image? What is an image and which image bands are “best” for visual interpretation?
TRIVIA (?) Why are plants green in spring/summer and brown in autumn?
 Introduction to Remote Sensing Example Applications and Principles  Exploring Images with MultiSpec User Interface and Band Combinations  Questions…
Remote Sensing Data Acquisition. 1. Major Remote Sensing Systems.
Satellite Imagery and Remote Sensing DeeDee Whitaker SW Guilford High EES & Chemistry
Remote Sensing SPOT and Other Moderate Resolution Satellite Systems
S.A.T.E.L.L.I.T.E.S. Project Students And Teachers Evaluating Local Landscapes to Interpret The Earth from Space Cloud Frog picture, research project name,
Satellite Imagery ARSET - AQ Applied Remote SEnsing Training – Air Quality A project of NASA Applied Sciences NASA ARSET- AQ – EPA Training September 29,
November 18, 2008 General Session II 1:30 pm to 3:00 pm Room: Grand Ballroom II Insights and Visions of Land Imaging as Seen Through the Eyes of Past Pecora.
1 October 8, 2015 GIS Day 2015 Geospatial Technologies GPS (global positioning system) –Car GPS systems, yield monitors, smart phones RS (remote sensing)
Violet:  m Blue:  m Green:  m Yellow:  m Orange:  m Red:
SATELLITE ORBITS The monitoring capabilities of the sensor are, to a large extent, governed by the parameters of the satellite orbit. Different types of.
REMOTE SENSING DATA Markus Törmä Institute of Photogrammetry and Remote Sensing Helsinki University of Technology
Estimating intra-annual changes in the surface area of Sand Mesa Reservoir #1 using multi-temporal Landsat images Cody A. Booth 1 with Ramesh Sivanpillai.
Chapter 1 Lesson 3 Mapping Technology How are maps made? What are GPS and GIS?
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.
The History of Mapmaking and New Mapmaking Technology
1.4 Technology is used to map earth.
Contemporary Tools.
ERT 247 SENSOR & PLATFORM.
Remote Sensing What is Remote Sensing? Sample Images
Landsat Program The World’s Most Sophisticated Optical Observatories of the Earth The World’s Model for International Collaboration in Earth Observation.
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.
Satellite Sensors – Historical Perspectives
Introduction to Remote-Sensing
EMP 580 Fall 2015 Dr. Jim Graham Materials from Sara Hanna
Worldview II Launched October 8, 2009 Altitude: 770 km
By Carmen Parks Mentor: Lela Prashad
Ch. 1, L2 The Geographer’s Tools
Remote Sensing Landscape Changes Before and After King Fire 2014
Calculating land use change in west linn from
Presentation transcript:

Juan de Dios Barrios, M.S. Research Associate Nick J. Rahall Appalachian Transportation Institute and James O. Brumfield, Ph. D. College of Science Marshall University November, 9, 2008 Historical Landsat Images for Rivers and Streams

 Geographic Information Systems Computer software tools for analyzing geo- referenced spatial data.  Remote Sensing Systems Sensor Systems used to collect information some remote distance from the subject.  Global Positioning Systems Earth Orbital Satellites Systems used to determined position on the earth’s surface. Water Dynamics Workshop, November Burlington Vermont

 The power of Geospatial Sciences is based in the capability to integrate different geospatial data into a comprehensive geoanalytical system.  This can result in the development of proper applications for scientific, social and cultural models. Water Dynamics Workshop, November Burlington Vermont

 A historical record of the Earth’s land surface from July 1972 to July1976.  First Satellite, Landsat I Launched 7/23/1972 Named Earth Resources Technology (ERTS-1). Later NASA changed the name to Landsat 1  Second Satellite, Landsat II Launched 7/22/75 Named Earth Resources Technology (ERTS-B). Later NASA changed the name to Landsat 2 Water Dynamics Workshop, November Burlington Vermont

 Altitude 920 Km  18 day coverage  185 km wide image swaths  Sun-synchronous Crossing times  Landsat 1 8:30 am  Landsat 2 9:00 am With Landsat I and II operational 9 day imaging cycles Water Dynamics Workshop, November Burlington Vermont

Landsats I and II  Return Beam Vidicon (RBV) RBV did not have film down linked to ground receiving stations  Multispectral Scanner (MSS) down linked to ground receiving stations stored on tape and converted to scanned film. Water Dynamics Workshop, November Burlington Vermont

 Four Bands Green µm. Red µm. Infrared µm. Infrared µm. Water Dynamics Workshop, November Burlington Vermont

Band 1 (Green)  Healthy vegetation Band 2 (Red)  Chlorophyll Water Dynamics Workshop, November Burlington Vermont

Near Infrared  Healthy green vegetation  Water lands Water Dynamics Workshop, November Burlington Vermont

 In a Near Infrared, Red and Green (false color) combination Water bodies appear brown to blue to black in color. Deep clear water appears dark blue to black in color, while sediment-laden or shallow waters appear lighter in color. Urban areas appear blue-gray in color. Water Dynamics Workshop, November Burlington Vermont

BAND FIVEBAND SIX Water Dynamics Workshop, November Burlington Vermont

N W Water Dynamics Workshop, November Burlington Vermont

BAND FOURBAND FIVE Water Dynamics Workshop, November Burlington Vermont

N39-02 w Water Dynamics Workshop, November Burlington Vermont

 Marshall University College of Science has access to imagery from July 1972 to July 1976 of Landsat I and Landsat II providing an opportunity for global coverage.  Only selected digital information is available in the form of tiff files.  Availability of data is currently under evaluation.  The data can be made available for educational research or academic uses. Water Dynamics Workshop, November Burlington Vermont

Juan de Dios Barrios