-1 Sensor: Satellite: Panchromatic – 0.41m x 0.41m res. (450–800 nm)

Slides:



Advertisements
Similar presentations
CEOS WGISS – 25 February 25-29, 2008 Sanya, Hainan Island, China Geo-Informatics and Space Technology Development Agency (GISTDA) THEOS / Land Surface.
Advertisements

SDMI Imagery Workshop GeoEye High Resolution Imagery Solutions for Alaska SDMI Tara Byrnes GeoEye Statewide Digital.
Resurs-P. Capabilities. Standard products. A. Peshkun The 14 th International Scientific and Technical Conference “From imagery to map: digital photogrammetric.
PLEIADES RACURS International Conference October 2009.
WorldView-1 By Michael Jones. Abstract  The WorldView-1 satellite is one part of what is to be a three satellite constellation. The group includes QuickBird,
Resolution.
Spencer Anderson Brent Fogleman Daryl Vonhagel.  Objectives:  C-band (w = 3.8 – 7.5 cm) & X-band (w = 2.4 – 3.8 cm) IFSAR to acquire topographic data.
Orbits and Sensors Multispectral Sensors
Introduction, Satellite Imaging. Platforms Used to Acquire Remote Sensing Data Aircraft Low, medium & high altitude Higher level of spatial detail Satellite.
Remote Sensing of Our Environment Using Satellite Digital Images to Analyze the Earth’s Surface.
Meteorological satellites – National Oceanographic and Atmospheric Administration (NOAA)-Polar Orbiting Environmental Satellite (POES) Orbital characteristics.
The image characteristics are usually referred to as:
Hyperspectral Satellite Imaging Planning a Mission Victor Gardner University of Maryland 2007 AIAA Region 1 Mid-Atlantic Student Conference National Institute.
By Sanket Dholaria ( ) M.Sc (ICT in ARD).
REMOTE SENSING and AERIAL PHOTOGRAPHY Roger Wheate NREM100 Fall 2010.
Using GNSS with Background Imagery Resolution vs Precision Presenter Warren Eade GeoSystems NZ Ltd.
Carolyn J. Merry NCRST-Flows The Ohio State University.
Course: Introduction to RS & DIP
Satellite Imagery Data Products & Services November 2011Pacific Geomatics Ltd.1 Farida Raghina Manager, Sales & Customer Relations November 29, 2011.
©2008 Austin Troy Lecture 21: Major Types of Satellite Imagery By Austin Troy and Weiqi Zhou University of Vermont Using GIS-- Introduction to GIS.
Remote Sensing High Resolution Satellite Systems.
Copyright © 2003 Leica Geosystems GIS & Mapping, LLC Turning Imagery into Information Suzie Noble, Product Specialist Leica Geosystems Denver, CO.
Geography 372 Christopher NeighOctober 3 rd Geography 372 Introduction to Remote Sensing Slide content from Geoeye & Space Imaging.
1. 2 Part II Remote Sensing using Reflected Visible and Infrared Radiation 602-MarCampus ClosedCh Mar7 Surface reflectance – Land Surfaces.
Geography 1010 Remote Sensing. Outline Last Lecture –Electromagnetic energy. –Spectral Signatures. Today’s Lecture –Spectral Signatures. –Satellite Remote.
UNCLASSIFIED 1 IMINT & GEOINT Imagery Intelligence & Geospatial Intelligence Ms. Heidi Buck SPAWAR Systems Center, San Diego Intelligence Surveillance.
Pollution Monitoring  Defense / Intelligence Planning  Yield Forecasting  Pesticide Applications Transportation Planning  Delivery Routing  Watershed.
1 Remote Sensing and Image Processing: 8 Dr. Mathias (Mat) Disney UCL Geography Office: 301, 3rd Floor, Chandler House Tel: (x24290)
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.
Resolution A sensor's various resolutions are very important characteristics. These resolution categories include: spatial spectral temporal radiometric.
10/8/2015DigitalGlobe Proprietary Power of the Constellation and WorldView-2.
Resolution Resolution. Landsat ETM+ image Learning Objectives Be able to name and define the four types of data resolution. Be able to calculate the.
Remote Sensing and Image Processing: 8 Dr. Hassan J. Eghbali.
Remote Sensing I Summer Term 2013 Lecturers: Astrid Bracher, Mathias Palm and Christian Melsheimer Contact: Prof. Dr. Astrid Bracher Dr. Mathias Palm Dr.
Juan de Dios Barrios, M.S. Research Associate Nick J. Rahall Appalachian Transportation Institute and James O. Brumfield, Ph. D. College of Science Marshall.
Remote Sensing SPOT and Other Moderate Resolution Satellite Systems
USA Select Briefing to The Federal Geographic Data Committee November 6, 2001 Glenn Geoghegan SPOT Image Corporation Reston, VA
Commercial High Resolution Sensors SatelliteResolutionSwath Width Pricing (%$USD)Applications Quickbird-20.61m Pan 2.44m MS 16.5 kmNew:$22/km 2 (min 64km.
CREATION OF DIGITAL SURFACE MODELS USING RESURS-P STEREO PAIRS Alexey Peshkun Deputy Head of Department 15th International Scientific and Technical Conference.
High resolution sensors: Orbview Sensor Pan 1m: 0.45 – 0.90 (= 450 – 900nm) MS 4m: B: G: R: NIR: Data: 11.
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.
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 Imagery Types and Sources GIS Management and Implementation GISC 6383 October 27, 2005 Neil K. Basu, Janice M. Jett, Stephen F. Meigs Jr.,
Satellite Image Pixel Size vs Mapping Scale
Orbits and Sensors Multispectral Sensors. Satellite Orbits Orbital parameters can be tuned to produce particular, useful orbits Geostationary Sun synchronous.
GEOG432/632: Remote Sensing
Michael Dyer & Robert Bell GEOE 2022 Sensor Assignment Presentation
WFM 6202: Remote Sensing and GIS in Water Management
PLATFORMS & SENSORS Platform:
Remote Sensing.
Satellite Image Pixel Size vs Mapping Scale
Basic Concepts of Remote Sensing
NASA – Sea-viewing Wide Field-of-view Sensor (SeaWiFS)
ERT 247 SENSOR & PLATFORM.
Digital Elevation Models (DEM) Digital Terrain Models (DTM) / Digital Surface Models (DSM) Brief Review Applications in image processing: Inclusion in.
From balloon, launched by students in Massachusetts, September 2, 2009
Toru Kouyama Supported by SELENE/SP Team HISUI calibration WG
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.
RapidEye 1-5 (Germany) Resolution: 5 m Bands: Altitude: 630 km
Satellite Sensors – Historical Perspectives
CNES’s SPOT 5 (Satellite Pour l’Observation de la Terre)
Introduction to Remote-Sensing
IKONOS ~Derived from the Greek term eikōn, meaning image~
Formosat-2 2m Panchromatic 8m multispectral 0.45 – 0.52µm blue
High Resolution Sensors – QuickBird
Cartosat Present Sensors: Satellite Hansen Aft
Landsat (same day) data viewer
Worldview II Launched October 8, 2009 Altitude: 770 km
Worldview-1 The DigitalGlobe constellation of very high resolution
Presentation transcript:

-1 Sensor: Satellite: Panchromatic – 0.41m x 0.41m res. (450–800 nm) Multispectral – 1.65m x 1.65m res.(450–510 nm (blue) 510–580 nm (green) 655–690 nm (red) 780–920 nm (near IR) ) Off-Nadir Imaging: Up to 60 degrees Data: 11bits per pixel, 15 km x 15 km (225 km2) Swath: Satellite: Launched: 06-Sep-08 Orbit altitude: 681 km Nodal Crossing: 10:30 am. Traveling speed: 17,000 miles/hr (7.5 km/sec.) Commercial High-resolution Earth observation satellite. Swath: N to S 14-16 km (15.2km at nadir)(on the ground) Overlaps in northern latitudes Life cycle of seven years. Orbit: 98 minutes, 15 times per day, revisit about every 3 days. 1

Extra Information: Product GeoEye-1 (0.5 / 2.0 m.)* Geo $25.00 US /km2 GeoProfessional $35.00 US /km2 GeoProfessional Precision ** $40.00 US /km2 GeoStereo / GeoStereo Precision ** Ad-hoc pricing Archive (Geo Product only) $12.50 US /km2 “We anticipate launching GeoEye-2, our next-generation satellite, in the 2012-2013 timeframe, to provide our customers with ongoing access to industry-leading imagery” (25 cm resolution?). Websites: http://www.geoeye.com Where to get imagery in BC: www.hatfieldgroup.com www.mcelhanney.com gs.mdacorporation.com www.pacgeo.com www.photosat.ca

Mount Nyiragongo, Congo

Applications: Port-au-Prince, Haiti Generate Digital Surface Models height accuracy: 1 – 2 m: http://www.asprs.org/publications/pers/2009journal/june/feature.pdf, <1 m :http://www.geoeye.com/CorpSite/assets/docs/technical-papers/2009/geoeye_accuracy_eritrea_sept09.pdf Mapping canopy mortality caused by mountain pine beetle outbreaks: http://www.geog.utah.edu/~pdennison/pubs/Dennison_RSE_MPB_2010.pdf Created 25cm contours to monitor mining activity: http://pacgeo.com/pgl/ Commercial: Broad area mapping Infrastructure management Planning Disaster response Situational awareness Location services Internet mapping Visualization and simulation modeling Port-au-Prince, Haiti