NOAA National Geophysical Data Center

Slides:



Advertisements
Similar presentations
GOES: Geostationary Orbiting Environmental Satellite Satellite (~36,000 km altitude) period ( 24 hours for each orbit) Always above same location. Must.
Advertisements

VIIRS Data Evaluation Over Thailand and Japan February 13, 2012 Chair, Chris Elvidge NOAA-NGDC 1.
NOAAs Comprehensive Large-data Array Stewardship System (CLASS) Robert Rank NOAA CLASS Program Chris Elvidge – NOAA-NGDC January 22, 2006.
The WMO Vision for Global Observing Systems in 2025 John Eyre, ET-EGOS Chair GCOS-WMO Workshop, Geneva, January 2011.
California Climate Observations: CalSat
GOFC/GOLD - Fire Requirements for Fire Observations.
JPSS and GOES-R SST Sasha Ignatov
Characterization of ATMS Bias Using GPSRO Observations Lin Lin 1,2, Fuzhong Weng 2 and Xiaolei Zou 3 1 Earth Resources Technology, Inc.
AVHRR Data for Monitoring Drought, Environment and Socioeconomic Activities Felix Kogan NOAA/NESDIS Office of Satellite Research and Applications.
1 6th GOES Users' Conference, Madison, Wisconsin, Nov 3-5 WMO Activities and Plans for Geostationary and Highly Elliptical Orbit Satellites Jérôme Lafeuille.
1 Satellite Imagery Interpretation. 2 The SKY Biggest lab in the world. Available to everyone. We view from below. Satellite views from above.
Multispectral Remote Sensing Systems
ATS 351 Lecture 8 Satellites
Detector Configurations Used for Panchromatic, Multispectral and Hyperspectral Remote Sensing Jensen, 2000.
Monitoring the Arctic and Antarctic By: Amanda Kamenitz.
Introduction, Satellite Imaging. Platforms Used to Acquire Remote Sensing Data Aircraft Low, medium & high altitude Higher level of spatial detail Satellite.
Remote Sensing of Mesoscale Vortices in Hurricane Eyewalls Presented by: Chris Castellano Brian Cerruti Stephen Garbarino.
Satellite Imagery Meteorology 101 Lab 9 December 1, 2009.
Meteorological satellites – National Oceanographic and Atmospheric Administration (NOAA)-Polar Orbiting Environmental Satellite (POES) Orbital characteristics.
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.
Fundamentals of Satellite Remote Sensing NASA ARSET- AQ Introduction to Remote Sensing and Air Quality Applications Winter 2014 Webinar Series ARSET -
Cooperative Institute for Meteorological Satellite Studies University of Wisconsin - Madison Steve Ackerman Director, Cooperative Institute for Meteorological.
Visible Satellite Imagery Spring 2015 ARSET - AQ Applied Remote Sensing Education and Training – Air Quality A project of NASA Applied Sciences Week –
Outline Further Reading: Chapter 04 of the text book - satellite orbits - satellite sensor measurements - remote sensing of land, atmosphere and oceans.
Remote Sensing Allie Marquardt Collow Met Analysis – December 3, 2012.
Satellite Imagery and Remote Sensing NC Climate Fellows June 2012 DeeDee Whitaker SW Guilford High Earth/Environmental Science & Chemistry.
MODIS: Moderate-resolution Imaging Spectroradiometer National-Scale Remote Sensing Imagery for Natural Resource Applications Mark Finco Remote Sensing.
Prospects for Improved Global Mapping of Development Using VIIRS Data Chris Elvidge Earth Observation Group NOAA-NESDIS National Geophysical Data Center.
Global NDVI Data for Climate Studies Compton Tucker NASA/Goddard Space Fight Center Greenbelt, Maryland
Future NOAA and NASA Satellites and Sensors For Volcano Studies NOAA Unable to Attend Slides taken from web sites and papers Open presentation. Please.
Assessment of Regional Vegetation Productivity: Using NDVI Temporal Profile Metrics Background NOAA satellite AVHRR data archive NDVI temporal profile.
1 Applications of Remote Sensing: SeaWiFS and MODIS Ocean Color Outline  Physical principles behind the remote sensing of ocean color parameters  Satellite.
MODIS Workshop An Introduction to NASA’s Earth Observing System (EOS), Terra, and the MODIS Instrument Michele Thornton
SATELLITE METEOROLOGY BASICS satellite orbits EM spectrum
Center for Satellite Applications and Research (STAR) Review 09 – 11 March 2010 Image: MODIS Land Group, NASA GSFC March 2000 Image: MODIS Land Group,
High Data Volume Transfer Issues at NOAA Christopher D. Elvidge Earth Observation Group National Oceanic and Atmospheric Administration National Geophysical.
Satellite Imagery and Remote Sensing DeeDee Whitaker SW Guilford High EES & Chemistry
Terra Launched December 18, 1999
EG2234: Earth Observation Interactions - Land Dr Mark Cresswell.
NASA Snow and Ice Products NASA Remote Sensing Training Geo Latin America and Caribbean Water Cycle capacity Building Workshop Colombia, November 28-December.
Andrew Heidinger and Michael Pavolonis
EUMETSAT Geostationary Programmes
Remote Sensing Meteorological Satellites Applied to Earth Surface Observation.
ISCCP Calibration 25 th Anniversary Symposium July 23, 2008 NASA GISS Christopher L. Bishop Columbia University New York, New York.
Preparing for GOES-R: old tools with new perspectives Bernadette Connell, CIRA CSU, Fort Collins, Colorado, USA ABSTRACT Creating.
Environmental Remote Sensing GEOG 2021 Lecture 8 Observing platforms & systems and revision.
Science of the Aqua Mission By: Michael Banta ESS 5 th class Ms. Jakubowyc December 7, 2006.
Land and cryosphere products from Suomi NPP VIIRS: Overview and Status Miguel Román, Code 619, NASA GSFC; Chris Justice, Ivan Csiszar, Eric Vermote, Robert.
DIRECT READOUT APPLICATIONS USING ATOVS ANTHONY L. REALE NOAA/NESDIS OFFICE OF RESEARCH AND APPLICATIONS.
Satellites Storm “Since the early 1960s, virtually all areas of the atmospheric sciences have been revolutionized by the development and application of.
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.
Data acquisition From satellites with the MODIS instrument.
1 GLIMPSING THE FIRST PRODUCTS FROM VIIRS Dr. Wayne Esaias NASA GSFC Thomas F. Lee Jeffrey Hawkins Arunas Kuciauskas Kim Richardson Jeremy Solbrig Naval.
Overview of Climate Observational Requirements for GOES-R Herbert Jacobowitz Short & Associates, Inc.
INSTITUTO DEL MAR DEL PERU REMOTE SENSING LABORATORY HIGH RESOLUTION AVHRR SST IN PERUVIAN COAST Carlos Paulino and Luis Escudero 25 June, 2010
SCM x330 Ocean Discovery through Technology Area F GE.
Satellite Imagery and Remote Sensing DeeDee Whitaker SW Guilford High EES & Chemistry
Reading assignments for chapter 6 Pages – – – –
Center for Satellite Applications and Research (STAR) Review 09 – 11 March 2010 Image: MODIS Land Group, NASA GSFC March 2000 STAR Enterprise Synthesis.
Presented by Beth Caissie
METimage Calibration Pepe Phillips GSICS Data & Research Working
NASA Aqua.
GEO-CAPE to TEMPO GEO-CAPE mission defined in 2007 Earth Science Decadal Survey Provide high temporal & spatial resolution observations from geostationary.
Using Sun Glint and Antarctic Ice Sheets to Calibrate MODIS and AVHRR Observations of Reflected Sunlight William R. Tahnk and James A. Coakley, Jr Cooperative.
Who We Are SSEC (Space Science and Engineering Center) is part of the Graduate School of the University of Wisconsin-Madison (UW). SSEC hosts CIMSS (Cooperative.
ABI Visible/Near-IR Bands
Satellite Sensors – Historical Perspectives
Generation of Cloud Products from NOAA’s Operational Satellite Imagers
Comparison of observed SST Vs. Satellite AVHRR SST
Representing Climate Data II
Presentation transcript:

NOAA National Geophysical Data Center Daily Global Observations of the Earth: From AVHRR To MODIS And On To VIIRS Chris Elvidge NOAA National Geophysical Data Center chris.elvidge@noaa.gov

MODIS Blue Marble – From GSFC

Why: The earth systems are in constant motion. Long term daily observation of the entire earth which can be used to establish baselines, from which it is possible detect and measure regional to global scale environmental changes.

How: Imaging sensors on polar orbiting satellites provide consistent sun-synchronous observation of the earth at a spatial and spectral resolution suitable for observing: Clouds and aerosols. Snow and ice. Ocean color and temperature. Land surface, vegetation and fire.

Disadvantages of Geostationary Satellite Data: Orbits at 35,000 km make it difficult to acquire sub-kilometer resolution imagery. Global constellation with spectral bands suitable for air, land, sea and ice observations has not been achieved. No polar coverage.

Fourteen orbits per day – global coverage

A Long Term Record Of Daily Global Observations of the Earth: AVHRR – Advanced Very High Resolution Radiometer flown on NOAA’s Polar Orbiting Environmental Satellites from 1978 to the present. MODIS – MODerate resolution imaging spectrometer flown on NASA Earth Observing System (Terra and Aqua satellites since December 1999. VIIRS – Visible Infrared Imaging Radiometer Suite – to be flown on the NOAA-NASA-DOD National Polar Orbiting Environmental Satellite System (NPOESS) with first launch expected in 2008-09.

Science Driven Improvements From AVHRR - Spectral Resolution Five Bands Vis, NIR, MIR, and two TIR MODIS 36 Bands VIIRS 20 Bands “The best of the MODIS Bands.”

Science Driven Improvements From AVHRR – Spatial Resolution Four km GAC One km LAC & HRPT MODIS Internested Bands at 250 m 500 m And 1 km VIIRS 15 bands at 800 m Five bands At 400 m

Science Driven Improvements From AVHRR – Geolocation Accuracy Variable. GCP’s Frequently Utilized. MODIS Sub- Kilometer. VIIRS Sub- Kilometer.

Science Driven Improvements From AVHRR – Radiometric Calibration Inadequate On-board calibration. MODIS Very good On-board Calibration. VIIRS Very good On-board calibration.

Raw Data Volume. MODIS AVHRR 4 GB / day. VIIRS 150 GB / day.

Who Started Archiving AVHRR Data? NASA. NOAA started its archiving effort year’s later.

Who Pioneered the Non-Meteorological Applications For AVHRR Data? NASA. NOAA focused on the weather community, who needed global observations in near real time.

MODIS Imagery Ice, frozen land & clouds

MODIS Imagery British Columbia

MODIS Imagery Mozambuique Channel

MODIS Imagery Florida

Summary NASA and NOAA have built a long record of daily global observations of the earth. The NASA-MODIS instrument provides data that are substantially better than the NOAA-AVHRR. The VIIRS instruments will continue MODIS style observations into the next decade and beyond. Establishing and operating new archives for MODIS and VIIRS for global environmental change research would require a very large effort in data transfer, data storage, and data processing.