Worldview II Launched October 8, 2009 Altitude: 770 km

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.
CHRIS (Compact High Resolution Imaging Spectrometer) sira group sira electro-optics Dr Mike Cutter EO & Technology Business Manager.
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.
Orbits and Sensors Multispectral Sensors
Lecture 6 Multispectral Remote Sensing Systems. Overview Overview.
Detector Configurations Used for Panchromatic, Multispectral and Hyperspectral Remote Sensing Jensen, 2000.
History and Features of Landsat 7 By: Andy Vogelsberg Photo of Landsat 7 taken from tures/litho/landsat/land.jpg.
Remote Sensing of Mesoscale Vortices in Hurricane Eyewalls Presented by: Chris Castellano Brian Cerruti Stephen Garbarino.
Remote Sensing Part 1.
Meteorological satellites – National Oceanographic and Atmospheric Administration (NOAA)-Polar Orbiting Environmental Satellite (POES) Orbital characteristics.
Principals of Remote Sensing
Hyperspectral Satellite Imaging Planning a Mission Victor Gardner University of Maryland 2007 AIAA Region 1 Mid-Atlantic Student Conference National Institute.
Fundamentals of Satellite Remote Sensing NASA ARSET- AQ Introduction to Remote Sensing and Air Quality Applications Winter 2014 Webinar Series ARSET -
Introduction to Digital Data and Imagery
Carolyn J. Merry NCRST-Flows The Ohio State University.
Photogrammetry and Multispectral Remote Sensing Lecture 3 September 8, 2004.
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.
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.
Pollution Monitoring  Defense / Intelligence Planning  Yield Forecasting  Pesticide Applications Transportation Planning  Delivery Routing  Watershed.
Introduction to Remote Sensing. Outline What is remote sensing? The electromagnetic spectrum (EMS) The four resolutions Image Classification Incorporation.
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.
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.
Chapter 5 Remote Sensing Crop Science 6 Fall 2004 October 22, 2004.
Juan de Dios Barrios, M.S. Research Associate Nick J. Rahall Appalachian Transportation Institute and James O. Brumfield, Ph. D. College of Science Marshall.
1 Applications of Remote Sensing: SeaWiFS and MODIS Ocean Color Outline  Physical principles behind the remote sensing of ocean color parameters  Satellite.
10/23/2015 GEM Lecture 4 Content Electromagnetic wave.
Estimating Water Optical Properties, Water Depth and Bottom Albedo Using High Resolution Satellite Imagery for Coastal Habitat Mapping S. C. Liew #, P.
Image Data Purchase and Pre-processing Litia Gaunavou SPC-SOPAC.
Remote Sensing Introduction to light and color. What is remote sensing? Introduction to satellite imagery. 5 resolutions of satellite imagery. Satellite.
Spectral classification of WorldView-2 multi-angle sequence Atlanta city-model derived from a WorldView-2 multi-sequence acquisition N. Longbotham, C.
Remote Sensing Data Acquisition. 1. Major Remote Sensing Systems.
Remote Sensing SPOT and Other Moderate Resolution Satellite Systems
CREATION OF DIGITAL SURFACE MODELS USING RESURS-P STEREO PAIRS Alexey Peshkun Deputy Head of Department 15th International Scientific and Technical Conference.
Data Models, Pixels, and Satellite Bands. Understand the differences between raster and vector data. What are digital numbers (DNs) and what do they.
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.
IRS-P4 OCM (Ocean Colour Monitor) Current Status of the Mission OCM is functioning normally and data is received at four ground stations.
Reading assignments for chapter 6 Pages – – – –
Orbits and Sensors Multispectral Sensors. Satellite Orbits Orbital parameters can be tuned to produce particular, useful orbits Geostationary Sun synchronous.
WFM 6202: Remote Sensing and GIS in Water Management
PLATFORMS & SENSORS Platform:
Remote Sensing.
Hyperspectral Sensing – Imaging Spectroscopy
Satellite Image Pixel Size vs Mapping Scale
NASA – Sea-viewing Wide Field-of-view Sensor (SeaWiFS)
LANDSAT OBSERVATİON SATELITE SYSTEM
ERT 247 SENSOR & PLATFORM.
This week’s earth observatory: false colour image
From balloon, launched by students in Massachusetts, September 2, 2009
Data Preparation for ASTER
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)
-1 Sensor: Satellite: Panchromatic – 0.41m x 0.41m res. (450–800 nm)
IKONOS ~Derived from the Greek term eikōn, meaning image~
Formosat-2 2m Panchromatic 8m multispectral 0.45 – 0.52µm blue
Lunar Observation Data for GIRO Landsat–8 Operational Land Imager
High Resolution Sensors – QuickBird
Planning a Remote Sensing Project
Worldview-1 The DigitalGlobe constellation of very high resolution
Presentation transcript:

Worldview II Launched October 8, 2009 Altitude: 770 km Vandenberg Air Force Base, California Altitude: 770 km Swath width: 16.4 km at nadir Radiometric resolution: 11-bit per pixel Max viewing angle nominally +/- 45° off-nadir (higher angles available) Orbit: Sun-synchronous 10:30 am descending node, 100 minute period Time-frame: 1.1 days at 1 m 3.7 days at 20° off-nadir

Sensor Panchromatic Multispectral: 46 cm at nadir 52 cm at 20° off-nadir Multispectral: 4 standard colors: blue, green, red, near-IR1 4 new colors: coastal blue, yellow, red edge, near-IR2 1.84 m at nadir 2.08 m at 20° off-nadir Imagery resampled to 50 cm and 2 m resolutions for non-government users

Mission life: 7.25 years No issues so far; equipped with: Control moment gyroscope, and selectable Time Delay Integration (TDI) levels A wide variety of images available for free Actual cost of imagery not listed on site Official website: http://www.digitalglobe.com/index.php/88/WorldView-2 Usage in 3 main areas of remote sensing: Vegetative analysis Feature extraction Bathymetry

Sydney Opera house, Australia; captured October 20, 2009 (12 days after launch)

Mudslide in Zhugqu, China; captured August 10, 2010