Coco Rulinda (CGIS-NUR) for PGD 2009

Slides:



Advertisements
Similar presentations
Micro meter = millionth of a meter Micro meter = m Visible light 0.4 m to 0.7 m.
Advertisements

Preliminary Study of Lunar Calibration for Geostationary Imagers Japanese Multi-functional Transport SATellite-2 (MTSAT-2) incorporates the special device.
Radiometric Corrections
Measurement of Radiation - Solar radiation - Long wave radiation - Net radiation - Exposure of radiation sensors.
Resolution Resolving power Measuring of the ability of a sensor to distinguish between signals that are spatially near or spectrally similar.
Resolution.
Radiation and the Planck Function Lectures in Benevento June 2007 Paul Menzel UW/CIMSS/AOS.
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.
DN to Reflectance HONDA Kiyoshi. Contents Definition of NDVI Radiance Reflectance How to Calculate Radiance from DN Irradiance.
Radiometric Concepts Remote Sensing ERAU Dr. Darrel Smith September 30, 2008 Remote Sensing ERAU Dr. Darrel Smith September 30, 2008.
1. 2 Definition 1 – Remote sensing is the acquiring of information about an object or scene without touching it through using electromagnetic energy a.
Chapter 3 Continuous Spectrum of Light 3
Class 8: Radiometric Corrections
Image Preprocessing Image Preprocessing.
Solar Radiation Emission and Absorption
Satellites and instruments How RS works. This section More reflection Sensors / instruments and how they work.
Atmospheric scatterers
Introduction to Remote Sensing The Electromagnetic (EM) Spectrum.
Karthaus, September 2005 Wouter Greuell IMAU, Utrecht, NL -Why? -Cloud masking -Retrieval method -An application: estimate surface mass balance from satellite.
Satellites Observations Temperature and albedo. What we need to do How do we get values of temperature and albedo (reflectance) using the instruments.
Lecture 5: Radiative transfer theory where light comes from and how it gets to where it’s going Wednesday, 19 January 2010 Ch 1.2 review, 1.3, 1.4
Radiometric Correction
Lecture 2 Remote Sensing: Radiation Theory and Solar Radiation Professor Menglin S. Jin Department of Meteorology San Jose State University.
Understanding Multispectral Reflectance  Remote sensing measures reflected “light” (EMR)  Different materials reflect EMR differently  Basis for distinguishing.
Remote Sensing II Introduction. Scientists formulate hypotheses and then attempt to accept or reject them in a systematic, unbiased fashion. The data.
Rachel Klima (on behalf of the MASCS team) JHU/APL MASCS/VIRS Data Users’ Workshop LPSC 2014, The Woodlands, TX March 17,2014 MASCS Instrument & VIRS Calibration.
Solar Radiation Emission and Absorption
Conversations with the Earth Tom Burbine
Spectral contrast enhancement
Radiometric and Atmospheric Correction
Quick Review of Remote Sensing Basic Theory Paolo Antonelli CIMSS University of Wisconsin-Madison Benevento, June 2007.
Remote Sensing Image Rectification and Restoration
Meteorolojik Uzaktan Algılamaya Giriş Erdem Erdi Uzaktan Algılama Şube Müdürlüğü 7-8 Mayıs 2012, İzmir.
Image Restoration and Atmospheric Correction Lecture 3 Prepared by R. Lathrop 10/99 Revised 2/04.
Radiometric and Geometric Correction
Solar Energy Part 1: Resource San Jose State University FX Rongère January 2009.
Remote Sensing Basics | August, Calibrated Landsat Digital Number (DN) to Top of Atmosphere (TOA) Reflectance Conversion Richard Irish - SSAI/GSFC.
1 Pixel and Image Characteristics Prof. Arnon Karnieli The Remote Sensing Laboratory Jacob Blaustein Institute for Desert Research Ben-Gurion University.
Addendum to Exercise 6 and 7 Handling and Processing Satellite (Landsat) Images.
Resolution Resolution. Landsat ETM+ image Learning Objectives Be able to name and define the four types of data resolution. Be able to calculate the.
Version 1.2, 25 February 2005 APPLICATIONS OF METEOSAT SECOND GENERATION (MSG) CONVERSION FROM COUNTS TO RADIANCES AND FROM RADIANCES TO BRIGHTNESS TEMPERATURES.
Digital Image Processing GSP 216. Digital Image Processing Pre-Processing – Correcting for radiometric and geometric errors in data Image Rectification.
CE 401 Climate Change Science and Engineering solar input, mean energy budget, orbital variations, radiative forcing January 2012.
Satellite-derived Sea Surface Temperatures Corey Farley Remote Sensing May 8, 2002.
Remote Sensing Realities | June 2008 Remote Sensing Realities.
Radiometric Correction and Image Enhancement Modifying digital numbers.
Lecture 5: Radiative transfer theory where light comes from and how it gets to where it’s going Tuesday, 19 January 2010 Ch 1.2 review, 1.3, 1.4
Assessment of Atmospheric Correction Methods for Landsat TM Data Applicable to Amazon Basin Research Dengsheng Lu, Paul Mausel (Department of Geography,
Conversations with the Earth Tom Burbine
Quick Review of Remote Sensing Basic Theory Paolo Antonelli CIMSS University of Wisconsin-Madison Benevento, June 2007.
Quick Review of Remote Sensing Basic Theory Paolo Antonelli CIMSS University of Wisconsin-Madison South Africa, April 2006.
NOTE, THIS PPT LARGELY SWIPED FROM
Planck’s law  Very early in the twentieth century, Max Karl Ernest Ludwig Planck put forth the idea of the quantum theory of radiation.  It basically.
Electro-optical systems Sensor Resolution
Radiation  Solar radiation drives the atmosphere.  The amount of radiation the Earth’s surface and atmosphere receives is dependent on: l The angle at.
Radiometric Calibration and Atmospheric Corrections
Understanding Multispectral Reflectance
NOAA VIIRS Team GIRO Implementation Updates
Radiometric Preprocessing: Atmospheric Correction
DATA PROCESSING & ANALYSIS
REMOTE SENSING Fundamentals of Remote Sensing
An Overview of MODIS Reflective Solar Bands Calibration and Performance Jack Xiong NASA / GSFC GRWG Web Meeting on Reference Instruments and Their Traceability.
Data Preparation for ASTER
Downloading Landsat Data
Terminology.
Atmospheric Correction
Instrument Considerations
Downwelling Spectral Solar Irradiance and IR Radiance Measurements ATMS 360 Spring 2008 Preliminary Results.
Spectral Transformation
Presentation transcript:

Coco Rulinda (CGIS-NUR) for PGD 2009 Radiometric calibration Coco Rulinda (CGIS-NUR) for PGD 2009 Based on slides by Boudewijn van Leeuwen, ITC-RSG-GTS June 2 2009 Advanced Remote Sensing – PGD 2009

The Remote Sensing process Orange ball: sensor

Image Data

Why Radiometric calibration? There are a number of important reasons to calibrate remote sensing data. The raw sensor DNs are simply numbers, without physical units. Each sensor has its own gain and offsets applied to the recorded signals to create the DNs. To do inter-sensor data comparison, they must be converted to at-sensor radiances. This step is called sensor calibration. If we desire to compare surface features over time, or to laboratory, or field reflectance data, corrections must be made for atmospheric, solar and topographic correction. We call this entire calibration and correction process radiometric calibration. Date 1 Subject 1

Radiometric calibration process Convert sensor’s DNs to at-sensor radiances  requires sensor calibration information Convert at-sensor’s radiances to radiance at earth surface  difficult to achieve: view path atmospheric conditions at the time and locations of the image and sensor is required. Correct from atmospheric, solar and topographic effects  from surface radiance to surface reflectance

At-satellite Calibration

Radiance (L) Energy measured by the sensor in Watt per square Meter per Steradian per Micron (Wm-2sr-1μm-1) or Milliwat per square Centimeter per Steradian per Micron (mWcm-2sr-1μm-1)

DN to Radiance Conversion Lmin = minimum radiance (in Wm-2sr-1μm-1 ) Lmax=maximum radiance (in Wm-2sr-1μm-1 ) QCALmax=maximum DN value possible (=255) QCALmin=minimum DN value possible (=0 or 1)

Gain Settings Scene specific Usually described in the header file To prevent saturation Band 6 Low Band 6 High When converting DNs to radiances always check the gain settings!

Radiance to Reflectance Conversion of Radiance to Reflectance, why? Reflectance (ρ) = wavelength dependent ratio between reflected and incoming energy Unitless (0 – 1 or 0 - 100) Normalization of Sun Angle Normalization of irradiance

Reflectance (ρ) = Measured Energy Reflectance = ratio between reflected and incoming energy = Measured Energy Incoming Energy =LλЛd2 ESUNλcos θz Lλ= Radiance at sensor (in Wm-2sr-1μm-1 ) d2= Earth-Sun Distance (AU) θz = Solar Zenith Angle (deg) ESUN = Band dependent Exoatmospheric Irradiance (Wm-2μm-1 ) At-satellite reflectance ≠Surface reflectance

Earth – Sun Distance (d) - LUT Distance Sun to Earth = ± 149 mln Km = 1 AU (Astronomical unit) J= Julian day Julian day: January 1st=001 Sin is in radian January 2nd=002

Exoterrestrial Solar Irradiance (ESUN)-LUT Mean Irradiance for a specific bandwidth Watt per square meter per micron (Wm-2μm-1 )

Reflectance (ρ) - All Lλ = Radiance at sensor (in Wm-2sr-1μm-1) D2 = Earth-Sun Distance (AU) ESUN = Band dependent Exoatmospheric Irradiance (Wm-2μm-1) Θz = Solar Zenith Angle (deg)

Radiance to Temperature Brightness Temperature; temperature of a blackbody (= perfect emitter) At-satellite temperature ≠surface temperature

Temperature (T)

Sensor Calibration Pre-flight calibration Sensors degrade, so there is a need for: In-flight calibration Internal blackbody references; multiple calibrated lamps or panels Solar calibrators Hot and cold black body reference Cross Calibration with space, airborne and ground measurements

Calibration Updates

More information Landsat 7 Science Data Users handbook: http://ltpwww.gsfc.nasa/IAS/handbook/handbook_toc.html NOAA Solar Position Calculator http://www.srrb.noaa.gov/highlights/sunrise/azel.html