Roy Yaniv Department of Geophysics and Planetary Science, Tel Aviv University, Israel Yoav Yair, Open University of Israel, Ra’anana, Israel Colin Price,

Slides:



Advertisements
Similar presentations
Validation of SCIAMACHY polarisation using POLDER as a reference (bonus: reflectance validation) Tiger Team Meeting 23, SRON, 23 May 2006.
Advertisements

THROUGHPUT OF A NORMAL INCIDENCE SPECTROMETER DESIGN IN DIFFERENT WAVELENGTH RANGES Luca Teriaca Max Planck Institut für Sonnensystemforschung.
AITA 9, MERTIS Team – MERTIS Calibration, Oct 2007 Folie 1 Development of a calibration concept for the MErcury Thermal Infrared Spectrometer Thomas Saeuberlich,
Validation of SCIAMACHY using POLDER as a reference 25 April 2006.
Image classification in natural scenes: Are a few selective spectral channels sufficient?
Calibration Scenarios for PICASSO-CENA J. A. REAGAN, X. WANG, H. FANG University of Arizona, ECE Dept., Bldg. 104, Tucson, AZ MARY T. OSBORN SAIC,
Radiometric Concepts Remote Sensing ERAU Dr. Darrel Smith September 30, 2008 Remote Sensing ERAU Dr. Darrel Smith September 30, 2008.
IR Cloud Camera D. Burke DES Calibration Telecon May 13, 2009.
Modelling, calibration and correction of nonlinear illumination-dependent fixed pattern noise in logarithmic CMOS image sensors Dileepan Joseph and Steve.
Spectrophotometer Jan 28, 2002 Deryck Hong Suryadi Gunawan.
E Usadi, NPL Low Temperature Blackbody for CAVIAR: Characterisation & Calibration Eric Usadi Thanks to Chris Price Theo Theocharous Title E Usadi 02Jun08.
Modeling the imaging system Why? If a customer gives you specification of what they wish to see, in what environment the system should perform, you as.
The Mediterranean Israeli Dust Experiment (MEIDEX) Joachim H. Joseph, Zev Levin, Yuri Mekler, Adam Devir, Eliezer Ganor, Peter Israelevich, Edmund Klodzh,
Observations and statistics of small-scale streamer and bead features in sprites Robert A. Marshall, Umran S. Inan STAR Laboratory, Stanford University,
Symposium in Honour of Philippe Lemaire's Retirement Four Solar Cycles of Space Instrumentation Institut d’Astronomie Spatiale, Orsay M.C.E. Huber Radiometry.
Lunar Observations of Changes in the Earth’s Albedo (LOCEA) Alexander Ruzmaikin Jet Propulsion Laboratory, California Institute of Technology in collaboration.
Extracting the Mystery from the Red Rectangle Meghan Canning, Zoran Ninkov, and Robert Slawson Chester Carlson Center for Imaging Science Rochester Institute.
Multi-Dimensional Analysis of An Oil Painting Center of Imaging Science Rochester Institute of Technology Pano Spiliotis May 7,1999.
Can people meet from 2:40 to 3:30 on Tuesday, September 5?
Digital Technology 14.2 Data capture; Digital imaging using charge-coupled devices (CCDs)
Introduction to Digital Data and Imagery
1 Satellite Tracking Using a Portable 8” Aperture Telescope July 26, 2006 Jayson Nakakura University of Hawaii at Manoa.
1 Measurement of Solar Cell Using LED-based Differential Spectral Responsivity Comparator under High Background Irradiance Ghufron Zaid 1,2, Seongchong.
Spectral contrast enhancement
Live Cell Fluorescence Imaging Presented by: Nicholas Beavers – Media Cybernetics, Inc. Welcome to Sponsored by Starting Soon…
February 2006Chuck DiMarzio, Northeastern University ECEG398 Quantum Optics Course Notes Part 2: Thermal Imagers Prof. Charles A. DiMarzio and.
Microwave Radiometry. 2Outline Introduction Thermal Radiation Black body radiation –Rayleigh-Jeans Power-Temperature correspondence Non-Blackbody radiation.
Predicting Engine Exhaust Plume Spectral Radiance & Transmittance
SPECTROSCOPIC DIAGNOSTIC COMPLEX FOR STUDYING PULSED TOKAMAK PLASMA Yu. Golubovskii, Yu. Ionikh, A. Mestchanov, V. Milenin, I. Porokhova, N. Timofeev Saint-Petersburg.
TCG Challenge #1 CALCULATING CAMERA SNR. Agenda SNR definition Calculation Method Visual Results Results Conclusions.
Thermal Infrared Multispectral Mapper Computer Model of the Experiment It is a model of the EXPERIMENT, it is not a model of the DEVICE Special models.
Remote Sensing Basics | August, Calibrated Landsat Digital Number (DN) to Top of Atmosphere (TOA) Reflectance Conversion Richard Irish - SSAI/GSFC.
Miriam Israelowitz 1 and Dr. David L. Wilson 2 1 Department of Physics, Case Western Reserve University, Cleveland OH, 2 Deparment of Biomedical Engineering,
In-Situ Measurements for Chemical Mechanical Polishing James Vlahakis Caprice Gray CMP-MIC February 20, 2006.
October 29-30, 2001MEIDEX - Crew Tutorial - Calibration F - 1 MEIDEX – Crew Tutorial Calibration of IMC-201 Adam D. Devir, MEIDEX Payload Manager.
Hand-on Tutorial Sprite hunting system Our website: Roy Yaniv Department.
Eusoballoon optics test Baptiste Mot, Gilles Roudil, Camille Catalano, Peter von Ballmoos Test configuration Calibration of the light beam Exploration.
On the possibility of sprites on other planets Yoav Yair and Roy Yaniv.
1 An Observatory for Ocean, Climate and Environment SAC-D/Aquarius HSC - Radiometric Calibration H Raimondo M Marenchino 7th SAC-D Aquarius Science Meeting.
Thermal Cameras II September 18 th, 2015 Carlos Vergel-Infante.
Coordinated Global Measurements of TLE from the Space Shuttle and Ground Stations during MEIDEX Yoav Yair 1, Colin Price, Zev Levin, Peter Israelevitch,
NCKU UCB Tohoku ISUAL / ROCSAT-2 August 2001 Sprites observation by ISUAL on the ROCSAT-2 satellite J. L. Chern, R. R. Hsu, H. T. Su, A. B. Chen, and L.
MEIDEX – MEDITERRANEAN ISRAELI DUST EXPERIMENT - A SPACE, AIR AND GROUND BASED STUDY OF DESERT AEROSOL Z. Levin, J. Joseph, Y. Mekler, P. Israelevich,
Coordinated Measurements of Transient Luminous Events - SPRITES – from the Space Shuttle and Ground Stations during MEIDEX Zev Levin, Yoav Yair, Colin.
The Second TEMPO Science Team Meeting Physical Basis of the Near-UV Aerosol Algorithm Omar Torres NASA Goddard Space Flight Center Atmospheric Chemistry.
1 Statistics, Data Analysis and Image Processing Lectures Vlad Stolojan Advanced Technology Institute University of Surrey.
Line-by-Line Radiative Transfer Model (LBLRTM) Calculations for Gas Corrections for MODIS Falguni Patadia, Rob Levy November 8, 2012 Aerosol Retreat.
Predicting Engine Exhaust Plume Spectral Radiance & Transmittance Engineering Project MANE 6980 – Spring 2010 Wilson Braz.
Spectral Image Analysis of a natural color sample using Rewritable Transparent Broad-band Filters Kanae Miyazawa (1), Markku Hauta-Kasari (2), and Satoru.
A Method for Correcting for Telescope Spectral Transmission in the Geosynchronous Imaging Fourier Transform Spectrometer (GIFTS) John D. Elwell, Deron.
SPRITE OBSERVATIONS DURING MEIDEX Yoav Yair, Colin Price, Zev Levin and Adam Devir Department of Geophysics and Planetary Sciences, Tel Aviv University,
Data Models, Pixels, and Satellite Bands. Understand the differences between raster and vector data. What are digital numbers (DNs) and what do they.
Student of the Week. Essential Idea:  Resolution places an absolute limit on the extent to which an optical or other system can separate images of.
Validation of OMPS-LP Radiances P. K. Bhartia, Leslie Moy, Zhong Chen, Steve Taylor NASA Goddard Space Flight Center Greenbelt, Maryland, USA.
ISUAL Design Concept S. Mende. SDR 7 Jun NCKU UCB Tohoku ISUAL Design Concept S. Mende Sprite Example Sprite Image obtained by Berkeley/NCKU 1999.
Zhaoxia Fu, Yan Han Measurement Volume 45, Issue 4, May 2012, Pages 650–655 Reporter: Jing-Siang, Chen.
Digital Imaging and Remote Sensing Laboratory thermal infrared data 1 Processing of TIMS data to emissivity spectra TIMS bands for this analysis 8.407,
IMC 2016 June 2-5, Egmond - the Netherlands Martin Dubs, FMA, Switzerland Koji Maeda, Nippon Meteor Society and University of Miyazaki, Japan Meteor Spectroscopy,
E. Ponce2-1, G. Garipov2, B. Khrenov2, P. Klimov2, H. Salazar1
Radiometric Preprocessing: Atmospheric Correction
Relative Spectral Response and Flat Fields with Internal Calibration Lamps Luisa M. Lara IAA-CSIC Granada (SPAIN)
Absolute calibration of sky radiances, colour indices and O4 DSCDs obtained from MAX-DOAS measurements T. Wagner1, S. Beirle1, S. Dörner1, M. Penning de.
How Could You Measure IR Directly On Buildings?
Topic- Black-Body Radation Laws
Black Body Radiation Mr. Sonaji V. Gayakwad Asst. professor
Downwelling Spectral Solar Irradiance and IR Radiance Measurements ATMS 360 Spring 2008 Preliminary Results.
Early calibration results of FY-4A/GIIRS during in-orbit testing
This waveform is 35.0 cm long. How long is the wavelength?
RADIATION LAWS.
Presentation transcript:

Roy Yaniv Department of Geophysics and Planetary Science, Tel Aviv University, Israel Yoav Yair, Open University of Israel, Ra’anana, Israel Colin Price, Tel Aviv University, Tel Aviv, Israel Adam D. Devir, IARD Institute for Advanced R&D, Haifa, Israel

Contents Equipment Calibration set-up GL Analysis Calibration and image analysis Measuring TLEs - GL of different ROIs GL distribution - definition of TLE pixels in the ROI Radiance calculations Recent results

Equipment A Black Body for radiometric calibration (CI Model SR-20) A CCD camera (Watec Model 902H) with a well-defined band-pass filter ( nm). Video/Image capturing software Image processing software (ImageJ) Calibration method for CCD cameras (conversion of gray-level (GL) to radiance (or Rayleigh units) And…….images of Sprites or Elves

Camera Calibration set-up GL=0GL=255 T c =400C T c =460C T c =430C T c =490C

GL analysis Example: For T c =450C the mean Gray Level is =164 ROI

Calibration and image analysis

Where: K’ – Calibration constant [GL/(ph/sec/mic)] IFOV – Instantaneous FOV of a camera pixel [str] A opt – Clear aperture of the CCD lens [cm 2 ] P(,T c ) – Planck’s function at wavelength and cal. temp. T c [W/str/cm 2 /mic]  c – Atmospheric transmittance during the calibration (=1) F( ) – Filter transmittance QE – Quantum efficiency of the CCD Calibration and image analysis (cont.)

But we need From these equations we get Where: N( ) – The radiance of the TLE [ph/sec/str/cm 2 /mic]  m – atmospheric transmittance during the measurements (~1) Calibration and image analysis (cont.)

Assuming the atmospheric transmittance -  m is almost 1, then we get: Where It should be noted that N is expressed in Rayleigh units 1R = 10 6 /4  [ph/sec/str/cm 2 ] Calibration and image analysis (cont.)

470 C K 450 C K 420 C K 400 C K Radiance [Rayleigh] Gray Level mean value (std) Black Body Temp[C 0 ]Black body Image Calibration and image analysis (cont.)

In our CCD the calibration constant K’ has quadratic dependence on the GL

Measuring TLEs - GL of different ROIs

GL distribution - definition of TLE pixels in the ROI Pixels with GL<49 originate from the background Pixels with GL>49 originate from the TLE

1.From Image J ROI analysis we get for each ROI (background and TLE) a list of all gray levels and the number of pixels in each GL 2.We find the largest GL value that define the GL distribution of the backgrounds – GL bckg-max 3.For all GL>GL bckg-max in the ROI of the TLE we calculate the radiance value [R] of the pixels with this GL using: 4.The average radiance of the TLE is calculated from the GL distribution Measuring TLEs: Radiance calculations

Recent results Left Sprite: 269 KR* Right Sprite: 301 KR* Elve: (“Upper part”) 5.3 MR^ Elve: (“Lower part”) 4.82 MR^ Enhanced image * Assuming the duration of the TLE is 30ms. ^ Assuming the duration of the TLE is 1ms.

Conclusions: The fun is in capturing TLEs…. We developed a reliable and accurate method for calibrating Commercial CCD camera. This method enables radiometric measurements of TLE luminosity. Using spectral filters enables us to Identify energy levels of ionozation in TLEs.

The End Thank You