In the past thirty five years NOAA, with help from NASA, has established a remote sensing capability on polar and geostationary platforms that has proven.

Slides:



Advertisements
Similar presentations
1 6th GOES Users' Conference, Madison, Wisconsin, Nov 3-5 WMO Activities and Plans for Geostationary and Highly Elliptical Orbit Satellites Jérôme Lafeuille.
Advertisements

1 Satellite Imagery Interpretation. 2 The SKY Biggest lab in the world. Available to everyone. We view from below. Satellite views from above.
Electromagnetic Radiation Electromagnetic Spectrum Radiation Laws Atmospheric Absorption Radiation Terminology.
OC3522Summer 2001 OC Remote Sensing of the Atmosphere and Ocean - Summer 2001 Review of EMR & Radiative Processes Electromagnetic Radiation - remote.
TRMM Tropical Rainfall Measurement (Mission). Why TRMM? n Tropical Rainfall Measuring Mission (TRMM) is a joint US-Japan study initiated in 1997 to study.
Landsat-based thermal change of Nisyros Island (volcanic)
1. 2 Definition 1 – Remote sensing is the acquiring of information about an object or scene without touching it through using electromagnetic energy a.
1 GOES Users’ Conference October 1, 2002 GOES Users’ Conference October 1, 2002 John (Jack) J. Kelly, Jr. National Weather Service Infusion of Satellite.
ATS 351 Lecture 8 Satellites
Monitoring the Arctic and Antarctic By: Amanda Kamenitz.
Energy interactions in the atmosphere
Satellite Imagery Meteorology 101 Lab 9 December 1, 2009.
Meteorological satellites – National Oceanographic and Atmospheric Administration (NOAA)-Polar Orbiting Environmental Satellite (POES) Orbital characteristics.
Satellite basics Estelle de Coning South African Weather Service
Satellite Imagery ARSET Applied Remote SEnsing Training A project of NASA Applied Sciences Introduction to Remote Sensing and Air Quality Applications.
Pat Arnott, ATMS 749 Atmospheric Radiation Transfer Chapter 6: Blackbody Radiation: Thermal Emission "Blackbody radiation" or "cavity radiation" refers.
Quick Review of Remote Sensing Basic Theory Paolo Antonelli CIMSS University of Wisconsin-Madison Benevento, June 2007.
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.
Meteorolojik Uzaktan Algılamaya Giriş Erdem Erdi Uzaktan Algılama Şube Müdürlüğü 7-8 Mayıs 2012, İzmir.
1 Review of Remote Sensing Fundamentals Allen Huang Cooperative Institute for Meteorological Satellite Studies Space Science & Engineering Center University.
Radiometric and Geometric Correction
Applications and Limitations of Satellite Data Professor Ming-Dah Chou January 3, 2005 Department of Atmospheric Sciences National Taiwan University.
Spectral Characteristics
Radiation in the Atmosphere (Cont.). Cloud Effects (2) Cloud effects – occur only when clouds are present. (a) Absorption of the radiant energy by the.
Satellite and Radar Imagery
What are the four principal windows (by wavelength interval) open to effective remote sensing from above the atmosphere ? 1) Visible-Near IR ( );
GIFTS - The Precursor Geostationary Satellite Component of a Future Earth Observing System GIFTS - The Precursor Geostationary Satellite Component of a.
Satellite-derived Sea Surface Temperatures Corey Farley Remote Sensing May 8, 2002.
SATELLITE METEOROLOGY BASICS satellite orbits EM spectrum
Satellite Imagery and Remote Sensing DeeDee Whitaker SW Guilford High EES & Chemistry
EG2234: Earth Observation Interactions - Land Dr Mark Cresswell.
Satellite Imagery ARSET - AQ Applied Remote SEnsing Training – Air Quality A project of NASA Applied Sciences NASA ARSET- AQ – EPA Training September 29,
1 Remote Sensing Fundamentals Part I: Radiation and the Planck Function Tim Schmit, NOAA/NESDIS ASPB Material from: Paul Menzel UW/CIMSS/AOS and Paolo.
Next Week: QUIZ 1 One question from each of week: –5 lectures (Weather Observation, Data Analysis, Ideal Gas Law, Energy Transfer, Satellite and Radar)
AOS 100: Weather and Climate Instructor: Nick Bassill Class TA: Courtney Obergfell.
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.
Quick Review of Remote Sensing Basic Theory Paolo Antonelli CIMSS University of Wisconsin-Madison Benevento, June 2007.
Interactions of EMR with the Earth’s Surface
Quick Review of Remote Sensing Basic Theory Paolo Antonelli CIMSS University of Wisconsin-Madison South Africa, April 2006.
Overview of Climate Observational Requirements for GOES-R Herbert Jacobowitz Short & Associates, Inc.
Summary Remote Sensing Seminar Summary Remote Sensing Seminar Lectures in Maratea Paul Menzel NOAA/NESDIS/ORA May 2003.
Quick Review of Remote Sensing Basic Theory Paolo Antonelli SSEC University of Wisconsin-Madison Monteponi, September 2008.
SCM x330 Ocean Discovery through Technology Area F GE.
Satellite Imagery and Remote Sensing DeeDee Whitaker SW Guilford High EES & Chemistry
Balance of Energy on Earth Yumna Sarah Maria. The global energy balance is the balance between incoming energy from the sun and outgoing heat from the.
Passive Microwave Remote Sensing
Using vegetation indices (NDVI) to study vegetation
Remote Sensing Fundamentals Part I: Radiation and the Planck Function
In the past thirty five years NOAA, with help from NASA, has established a remote sensing capability on polar and geostationary platforms that has proven.
NASA Aqua.
GOES visible (or “sun-lit”) image
GOES-R Hyperspectral Environmental Suite (HES) Requirements
In the past thirty five years NOAA, with help from NASA, has established a remote sensing capability on polar and geostationary platforms that has proven.
In the past thirty five years NOAA, with help from NASA, has established a remote sensing capability on polar and geostationary platforms that has proven.
Instrument Considerations
In the past thirty five years NOAA, with help from NASA, has established a remote sensing capability on polar and geostationary platforms that has proven.
In the past thirty five years NOAA, with help from NASA, has established a remote sensing capability on polar and geostationary platforms that has proven.
In the past thirty five years NOAA, with help from NASA, has established a remote sensing capability on polar and geostationary platforms that has proven.
In the past thirty five years NOAA, with help from NASA, has established a remote sensing capability on polar and geostationary platforms that has proven.
In the past thirty five years NOAA, with help from NASA, has established a remote sensing capability on polar and geostationary platforms that has proven.
Satellite Foundational Course for JPSS (SatFC-J)
Satellite Foundational Course for JPSS (SatFC-J)
Atmospheric Sciences 101 Weather Satellite 2019
In the past thirty five years NOAA, with help from NASA, has established a remote sensing capability on polar and geostationary platforms that has proven.
REMOTE SENSING.
In the past thirty five years NOAA, with help from NASA, has established a remote sensing capability on polar and geostationary platforms that has proven.
AIRS (Atmospheric Infrared Sounder) Level 1B data
Representing Climate Data II
Presentation transcript:

In the past thirty five years NOAA, with help from NASA, has established a remote sensing capability on polar and geostationary platforms that has proven useful in monitoring and predicting severe weather such as tornadic outbreaks, tropical cyclones, and flash floods in the short term, and climate trends indicated by sea surface temperatures, biomass burning, and cloud cover in the longer term. This has become possible first with the visible and infrared window imagery of the 1970s and has been augmented with the temperature and moisture sounding capability of the 1980s. The imagery from the NOAA satellites, especially the time continuous observations from geostationary instruments, dramatically enhanced our ability to understand atmospheric cloud motions and to predict severe thunderstorms. These data were almost immediately incorporated into operational procedures. Use of sounder data in the operational weather systems is more recently coming of age. The polar orbiting sounders are filling important data voids at synoptic scales. Applications include temperature and moisture analyses for weather prediction, analysis of atmospheric stability, estimation of tropical cyclone intensity and position, and global analyses of clouds. The Advanced TIROS Operational Vertical Sounder (ATOVS) includes both infrared and microwave observations with the latter helping considerably to alleviate the influence of clouds for all weather soundings. The Geostationary Operational Environmental Satellite (GOES) Imager and Sounder have been used to develop procedures for retrieving atmospheric temperature, moisture, and wind at hourly intervals in the northern hemisphere. Temporal and spatial changes in atmospheric moisture and stability are improving severe storm warnings. Atmospheric flow fields are helping to improve hurricane trajectory forecasting. Applications of these NOAA data also extend to the climate programs; archives from the last fifteen years offer important information about the effects of aerosols and greenhouse gases and possible trends in global temperature. This talk will indicate the present capabilities and foreshadow some of the developments anticipated in the next twenty years. Quick Review of Remote Sensing Basic Theory Paolo Antonelli SSEC University of Wisconsin-Madison Monteponi, September 2008

Outline Visible: RGB, Radiance and Reflectance Near Infrared: Absorption Infrared: Radiance and Brightness Temperature

Visible (Reflective Bands) Infrared (Emissive Bands)

Sensor Geometry Electronics Sensor Optics

Terminology of radiant energy Energy from the Earth Atmosphere Flux over time is which strikes the detector area Irradiance at a given wavelength interval Monochromatic Irradiance over a solid angle on the Earth Radiance observed by satellite radiometer is described by can be inverted to The Planck function Brightness temperature

Definitions of Radiation __________________________________________________________________ QUANTITY SYMBOL UNITS Energy dQ Joules Flux dQ/dt Joules/sec = Watts Irradiance dQ/dt/dA Watts/meter2 Monochromatic dQ/dt/dA/d W/m2/micron Irradiance or dQ/dt/dA/d W/m2/cm-1 Radiance dQ/dt/dA/d/d W/m2/micron/ster dQ/dt/dA/d/d W/m2/cm-1/ster

Visible: Reflective Bands Used to observe solar energy reflected by the Earth system in the: Visible between .4 and .7 µm NIR between .7 and 3 µm About 99% of the energy observed between 0 and 4 µm is solar reflected energy Only 1% is observed above 4 µm

Ocean: Dark Vegetated Surface: Dark NonVegetated Surface: Brighter Snow: Bright Clouds: Bright Sunglint

Ocean: Dark Vegetated Surface: Dark NonVegetated Surface: Brighter Snow: Bright Clouds: Bright Sunglint

Ocean: Dark Vegetated Surface: Dark NonVegetated Surface: Brighter Snow: Bright Clouds: Bright Sunglint

Reflectance To properly compare different reflective channels we need to convert observed radiance into a target physical property In the visible and near infrared this is done through the ratio of the observed radiance divided by the incoming energy at the top of the atmosphere The physical quantity is the Reflectance i.e. the fraction of solar energy reflected by the observed target

Soil Vegetation Snow Ocean

Reflectances On Same Color Scale

Before Atmospheric Correction Values Range [50 100] W/ster/cm2/ µm After Atmospheric Correction Values Range between [0 25] W/ster/cm2/ µm Radiance observed In the Blue Band At 0.41 µm More than 75% of the Observed energy Over Ocean In the blue bands Is due to atmospheric Scattering. Less than 25% is due to Water Leaving Energy

Band 4 (0.56 Micron) snow Transects of Reflectance clouds sea desert Band 1 Band 4 Band 3

Band 20 1.38 micron Strong H20

Only High Clouds Are Visible

Band 20 1.38 micron

Visible (Reflective Bands) Infrared (Emissive Bands)

Emissive Bands Used to observe terrestrial energy emitted by the Earth system in the IR between 4 and 15 µm About 99% of the energy observed in this range is emitted by the Earth Only 1% is observed below 4 µm At 4 µm the solar reflected energy can significantly affect the observations of the Earth emitted energy

Spectral Characteristics of Energy Sources and Sensing Systems IR 4 µm 11 µm

Observed Radiance at 4 micron Window Channel: little atmospheric absorption surface features clearly visible Range [0.2 1.7] Values over land Larger than over water Reflected Solar everywhere Stronger over Sunglint

Observed Radiance at 11 micron Window Channel: little atmospheric absorption surface features clearly visible Range [2 13] Values over land Larger than over water Undetectable Reflected Solar Even over Sunglint

Brightness Temperature To properly compare different emissive channels we need to convert observed radiance into a target physical property In the Infrared this is done through the Planck function The physical quantity is the Brightness Temperature i.e. the Temperature of a black body emitting the observed radiance

Observed BT at 4 micron Window Channel: little atmospheric absorption surface features clearly visible Range [250 335] Clouds are cold Values over land Larger than over water Reflected Solar everywhere Stronger over Sunglint

Observed BT at 11 micron Window Channel: little atmospheric absorption surface features clearly visible Range [220 320] Clouds are cold Values over land Larger than over water Undetectable Reflected Solar Even over Sunglint

Conclusions Radiance is the Energy Flux (emitted and/or reflected by the Earth) which strikes the Detector Area at a given Spectral Wavelength (wavenumber) over a Solid Angle on the Earth; Reflectance is the fraction of solar energy reflected to space by the target; Given an observed radiance, the Brightness Temperature is the temperature, in Kelvin, of a blackbody that emits the observed radiance; Knowing the spectral reflective (Vis) and emissive (IR) properties (spectral signatures) of different targets it is possible to detect: clouds, cloud properties, vegetation, fires, ice and snow, ocean color, land and ocean surface temperature ……