HICO Calibration and Atmospheric Correction

Similar documents
HICO OSU Website and Data Products

Hyperspectral Atmospheric Correction

HICO Science Mission Overview

Estimation of ocean contribution at the MODIS near-infrared wavelengths along the east coast of the U.S.: Two case studies

Vicarious calibrations of HICO data acquired from the International Space Station

Impacts of Atmospheric Corrections on Algal Bloom Detection Techniques

Coastal Characterization Using EO-1 Hyperion Data

Optical Theory Basics - 1 Radiative transfer

9/12/2011. Training Course Remote Sensing - Basic Theory & Image Processing Methods September 2011

Atmospheric Correction for Satellite Ocean Color Radiometry

Simulation of UV-VIS observations

A new perspective on aerosol direct radiative effects in South Atlantic and Southern Africa

MSI aerosol retrieval algorithm for the Multi- Spectral Imager (MSI) on EarthCare

NASA's Plankton, Aerosol, Cloud, ocean Ecosystem (PACE) mission update

In-Orbit Vicarious Calibration for Ocean Color and Aerosol Products

MERIS, A-MODIS, SeaWiFS, AATSR and PARASOL over the Salar de Uyuni March 2006 MAVT 2006 Marc Bouvet, ESA/ESTEC

EXTRACTION OF THE DISTRIBUTION OF YELLOW SAND DUST AND ITS OPTICAL PROPERTIES FROM ADEOS/POLDER DATA

VIIRS SDR Cal/Val: S-NPP Update and JPSS-1 Preparations

GMES: calibration of remote sensing datasets

Simulated Radiances for OMI

GSICS UV Sub-Group Activities

Satellite remote sensing of aerosols & clouds: An introduction

Menzel/Matarrese/Puca/Cimini/De Pasquale/Antonelli Lab 2 Ocean Properties inferred from MODIS data June 2006

Astrid Bracher PHYTOOPTICS group, Climate Sciences, AWI & IUP, University Bremen

The Coastal Ocean Imaging Spectrometer (COIS) and Coastal Ocean Remote Sensing

Radiation in the atmosphere

Chapter 4 Nadir looking UV measurement. Part-I: Theory and algorithm

BAYESIAN METHODOLOGY FOR ATMOSPHERIC CORRECTION OF PACE OCEAN-COLOR IMAGERY

Polarization measurements in coastal waters using a hyperspectral multiangular sensor

HYPERSPECTRAL IMAGING

5.5. Coastal and inland waters

1-2 Aerosol models We obtain the aerosol reflectance for 678nm and 865nm bands including the interaction part as follows,

Aerosol Retrieved from MODIS: Algorithm, Products, Validation and the Future

THE GLI 380-NM CHANNEL APPLICATION FOR SATELLITE REMOTE SENSING OF TROPOSPHERIC AEROSOL

Minutes of the First Meeting. of the IOCCG Working Group. L1 Requirements for Ocean-Colour Remote Sensing. April 20-21, 2010

Atmospheric Lidar The Atmospheric Lidar (ATLID) is a high-spectral resolution lidar and will be the first of its type to be flown in space.

The Spectral Radiative Effects of Inhomogeneous Clouds and Aerosols

Vicarious calibration of GLI by global datasets. Calibration 5th Group Hiroshi Murakami (JAXA EORC)

Atmospheric Correction of Ocean Color RS Observations

VERIFICATION OF MERIS LEVEL 2 PRODUCTS: CLOUD TOP PRESSURE AND CLOUD OPTICAL THICKNESS

Apparent optical properties and radiative transfer theory*

Tracking On-orbit Radiometric Accuracy and Stability of Suomi NPP VIIRS using Extended Low Latitude SNOs

Topics: Visible & Infrared Measurement Principal Radiation and the Planck Function Infrared Radiative Transfer Equation

Atmospheric Correction Using Hyperion

NIR Solar Reference Spectrum Algorithm for the Orbiting Carbon Observatory (OCO)

Using HARP measurements for deriving cloud, aerosol, and surface properties for TORERO. K. Sebastian Schmidt and Bruce Kindel 31 Oct 2011

APPLICATIONS WITH METEOROLOGICAL SATELLITES. W. Paul Menzel. Office of Research and Applications NOAA/NESDIS University of Wisconsin Madison, WI

Remote Sensing Systems Overview

Atmospheric Correction of Satellite Ocean-Color Imagery In the Presence of Semi-Transparent Clouds

Eight Years MOS-IRS Summary of Calibration Activities

Atmospheric Measurements from Space

Calibration of Ocean Colour Sensors

Hyperspectral imaging of river systems

WATER VAPOUR RETRIEVAL FROM GOME DATA INCLUDING CLOUDY SCENES

Verification of Sciamachy s Reflectance over the Sahara J.R. Acarreta and P. Stammes

Making Accurate Field Spectral Reflectance Measurements By Dr. Alexander F. H. Goetz, Co-founder ASD Inc., Boulder, Colorado, 80301, USA October 2012

Extraction of incident irradiance from LWIR hyperspectral imagery

Current Application of Vicarious Calibration for Geostationary Ocean Color Imager (GOCI) DATA

Status of VIIRS Reflective Solar Bands On-orbit Calibration and Performance

Moderate Spectral Resolution Radiative Transfer Modeling Based on Modified Correlated-k Method

In-flight Spectral Calibration of MERIS/OLCI. Jürgen Fischer, Rene Preusker, Rasmus Lindstrot Institute for Space Science Free University Berlin

Atmospheric correction in presence of sun glint: the POLYMER Algorithm

Outline. December 14, Applications Scattering. Chemical components. Forward model Radiometry Data retrieval. Applications in remote sensing

In-flight Evaluation of the SPOT-6 Radiometric Calibration based on Acquisitions over Natural Targets and Automated in-situ Measurements

Using Sun Glint to Check the Relative Calibration of Reflected Spectral Radiances

RadCalNet Quick Start Guide. RadCalNet Quick Start Guide

A Comparative Study and Intercalibration Between OSMI and SeaWiFS

An Observational Study of the Relationship between Cloud, Aerosol and Meteorology in Marine Stratus Regions

OCEAN COLOUR MONITOR ON-BOARD OCEANSAT-2

Automated ocean color product validation for the Southern California Bight

Antitwilight II: Monte Carlo simulations

A Method for MERIS Aerosol Correction : Principles and validation. David Béal, Frédéric Baret, Cédric Bacour, Kathy Pavageau

Monday 9 September, :30-11:30 Class#03

THE SOLAR RESOURCE: PART I MINES ParisTech Center Observation, Impacts, Energy (Tel.: +33 (0) )

The O 2 A-band Spectrometer on the NASA Orbiting Carbon Observatory-2 (OCO-2)

Sentinel-3 Sea and Land Surface Temperature Radiometer (SLSTR) Mireya Etxaluze (STFC RAL Space)

Lecture 2 Overview of Light in Water

In-flight Calibration Techniques Using Natural Targets. CNES Activities on Calibration of Space Sensors

NASA s Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) AVIRIS: PEARL HARBOR, HAWAII

Calculating equation coefficients

Report Benefits and Challenges of Geostationary Ocean Colour Remote Sensing - Science and Applications. Antonio Mannino & Maria Tzortziou

ECNU WORKSHOP LAB ONE 2011/05/25)

Once a specific data set is selected, NEO will list related data sets in the panel titled Matching Datasets, which is to the right of the image.

CLOUD CLASSIFICATION AND CLOUD PROPERTY RETRIEVAL FROM MODIS AND AIRS

Polarimetric measurements of long-wave infrared spectral radiance from water

REMOTE SENSING TEST!!

Questions you should be able to answer after reading the material

(A)ATSR and SLSTR VIS/SWIR Channels Calibration

Impact of Aerosol Model Selection on Water-Leaving Radiance Retrievals from Satellite Ocean Color Imagery

Reminder: All answers MUST GO ON ANSWER SHEET! Answers recorded in the exam booklet will not count.

Aerosol absorption retrievals from base-line OCI observations

What are Aerosols? Suspension of very small solid particles or liquid droplets Radii typically in the range of 10nm to

ABSTRACT 1. INTRODUCTION 2. MATERIALS AND METHODS

Accuracy and Precision Requirements for Climate-Level Data Sets

Determination of aerosol optical depth using a Micro Total Ozone Spectrometer II. (MICROTOPS II) sun-photometer

Monitoring CO 2 Sources and Sinks from Space with the Orbiting Carbon Observatory (OCO)

Detection of ship NO 2 emissions over Europe from satellite observations

MERIS SMILE EFFECT CHARACTERISATION AND CORRECTION DOCUMENT. document title/ titre du document. prepared by/préparé par MERIS ESL

Overview of AVIRIS Acquisitions in Argentina as Part of the NM EO-1 Campaign in 2001

FIRST VALIDATION OF MERIS AEROSOL PRODUCT OVER LAND

Transcription:

HICO Calibration and Atmospheric Correction Curtiss O. Davis College of Earth Ocean and Atmospheric Sciences Oregon State University, Corvallis, OR, USA 97331 cdavis@coas.oregonstate.edu Oregon State

Introduction and Outline HICO calibrated radiances On orbit Maintenance of calibration Atmospheric correction Cloud shadow NASA ATREM and Tafkaa Discussion

HICO On-Orbit Calibration HICO fully calibrated in the laboratory (Lucke et al, 2011) Radiometric calibration Spectral calibration Dark current correction Second Order correction HICO does not have a second order filter or an on-board calibrator. Cannot ask the ISS to rotate to point at the moon. On-orbit calibrations using natural scenes (Gao et al, 2012) Spectral calibration using Fraunhofer lines and oxygen line Radiometric calibration using land calibration targets Second order correction using water scenes HICO spectra a) normal (5.7 nm) resolution and b) at full (1.9 nm) resolution used for spectral calibrations.

Calibrated Spectral Radiances X X X X X Left: Spectra extracted from pixels along the east-west transect shown in yellow. Approximate locations of the spectra are indicated by same color Xs on the image. Spectra are scaled calibrated at-sensor radiances. Right: Mean and standard deviation of 1295 pixels in the red Region of Interest. The SNR (µ/σ including all sensor and environmental variations) is >300:1 for much of the spectra. Spectra are scaled calibrated atsensor radiances.

Radiometric Comparison of HICO to MODIS (Aqua) Nearly coincident HICO and MODIS images of turbid ocean off Shanghai, China demonstrates that HICO is well-calibrated HICO Date: 18 January 2010 Time: 04:40:35 UTC Solar zenith angle: 53 Pixel size: 95 m East China Sea off Shanghai MODIS (Aqua) Date: 18 January 2010 Time: 05:00:00 UTC Solar zenith angle: 52 Pixel size: 1000 m Top-Of-Atmosphere Spectral Radiance Image location 50 km R.-R. Li, NRL

Chlorophyll Comparison of HICO to MODIS (Aqua) Nearly coincident MODIS and HICO TM images of the Yangtze River, China taken on January 18, 2010. Left, MODIS image (0500 GMT) of Chlorophyll-a Concentration (mg/m3) standard product from GSFC. The box indicates the location of the HICO image relative to the MODIS image. Right, HICO TM image (0440 GMT) of Chlorophyll-a Concentration (mg/m3) from HICO TM data using ATREM atmospheric correction and a standard chlorophyll algorithm. (R-R Li and B-C Gao.)

Full Spectral Atmospheric Correction 1 0.8 Transmittance 0.6 0.4 0.2 Total H 2 O Ozone 0 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 1.1 1.2 1.3 1.4 1.5 1.6 1.7 1.8 Wavelength (µm) Multispectral channels selected to avoid water vapor and other absorptions Must correct the full spectrum for hyperspectral data Figure From Menghua Wang, NOAA/NESDIS/STAR

Difficulty of Atmospheric Removal over water Atmosphere most of signal Radiance (W/m^2/sr/micron) Radiance calculated from measured coastal spectrum 70 60 radiance above atmosphere 50 radiance at surface 40 contribution of atmosphere 30 20 10 0 0.4 0.5 0.6 0.7 0.8 0.9 1 Wavelength (micron) Atmospheric gasses are well mixed, well understood Water is variable Aerosols variable in space & time Accurate aerosol models and radiative transfer necessary

Tafkaa Atmospheric Corrections Tafkaa-6-S Based on ATREM (Gao & Davis 1997 PROC SPIE) Uses 6-S atmospheric model User selects aerosol model and optical depth Handles data from all altitudes Changes from ATREM include ability to parse image header file, improve speed, use larger set of aerosol models Tafkaa-Tabular Much of the code based on ATREM (Gao & Davis 1997, PROC SPIE) Changes as listed above plus: Uses a large look-up table for the aerosol correction Table created using Zia Ahmed s full vector radiative transfer model Can use dark pixel assumption for open ocean scenes Includes a correction for reflections off of the sea surface Only works for near sea-level data Originally described in (Gao, Montes, Ahmad, & Davis, Applied Optics 2000), modifications in several SPIE proceedings

Tafkaa Atmospheric Correction The apparent reflectance ρ obs at a hyperspectral sensor for a given wavelength is ρ obs = πl obs /(μ o F o ) (1) where L obs is the radiance of the ocean atmosphere system measured by the sensor, μ o is the cosine of the solar zenith angle, and F o is the extraterrestrial downward solar irradiance at the top of the atmosphere. Then ρ obs can be expressed as: ρ obs = T g [ρ atm+sfc + ρ w t d t u /(1 sρ w )] (2) where T g is the total atmospheric gaseous transmittance on the sun-surface sensor path, ρ atm+sfc is the reflectance resulting from scattering by the atmosphere and specular reflection by ocean surface facets, t d is the downward transmittance (direct + diffuse), t u is the upward transmittance, s is the spherical albedo that takes into account the reflectance of the atmosphere for isotropic radiance incident at its base, and ρ w is the water- leaving reflectance. Solving (2) for ρ w yields ρ w =ρ obs/t g ρ atm+sfc/[t d t u +s (ρ obs/t g ρ atm+sfc)] (3) Given L obs, the water-leaving reflectance can be derived according to (1) and (3) and the other quantities in the right hand side of (3) modeled theoretically.

Tafkaa-Tabular Look-up Table Generation We use a modified version of the Ahmad and Fraser code to generate lookup tables for retrieving the required atmospheric parameters. This code includes an atmospheric layering structure that allows for the proper mixing of aerosol particles with atmospheric molecules and the treatment of wind-roughened water surfaces. The lookup table quantities ρ atm+sfc, t d, t u, and s are functions of wavelength (λ), solar zenith angle (θ o ), view zenith angle (θ), relative azimuth angle (φ φ o ), aerosol model, optical depth (τ a ), and surface wind speed (W). The values of ρ atm+sfc. In our lookup table are obtained for a total of 25 aerosol models, 16 MODIS channels, and for the following values of independent variables: τ a 0, 0.1, 0.2, 0.3, 0.5, 0.7, 1.0, 1.3, 1.6, and 2.0 at 0.55 μm; θ o 1.5, 12, 24, 36, 48, 54, 60, 66, and 72 ; 193 θ 0, 1.5, 6, 12, 18, 24, 30, 36, 42, 48, 54, 60, 66, 72, 78, 84, and 88.5 ; φ o 0; φ 0, 12, 24, 36, 48, 60, 72, 84, 90, 96, 108, 120, 132, 144, 156, 168, and 180 ; W 2, 6, and 10 m/s;

Tafkaa Tabular Including Surface Glint Correction for Ocean Scenes A B C D AVIRIS data were atmospherically corrected using the Tafkaa Tabular algorithm for ocean scenes. The data are corrected for skylight reflected off the sea surface and then it is assumed that the water leaving radiance is 0 for wavelengths greater than 1.0 micron. (Gao, et al., Appl. Opt. 39, 887-896, 2000)

Birth of a New Island, Canary Islands HICO Image of the new underwater volcano off the small Canary Island of El Hierro, December 22, 2011.