CALCON Landsat-8 OLI: On-Orbit Spatial Uniformity, Absolute Calibration and Stability

Similar documents
LANDSAT 8 Level 1 Product Performance

Landsat Monitoring our Earth s Condition for over 40 years

STAR Algorithm and Data Products (ADP) Beta Review. Suomi NPP Surface Reflectance IP ARP Product

Multiangle cloud remote sensing from

Noise Evaluation of early images for Landsat 8 Operational Land Imager

High Resolution Information from Seven Years of ASTER Data

Spectral Response for DigitalGlobe Earth Imaging Instruments

Hyperion Data Collection: Performance Assessment and Science Application

Review for Introduction to Remote Sensing: Science Concepts and Technology

16 th IOCCG Committee annual meeting. Plymouth, UK February mission: Present status and near future

Definition of KOMPSAT-3 Product Quality

ENVI Classic Tutorial: Atmospherically Correcting Multispectral Data Using FLAASH 2

ENVI Classic Tutorial: Atmospherically Correcting Hyperspectral Data using FLAASH 2

SLSTR Breakout Summary - Gary Corlett (22/03/2012)

CBERS Program Update Jacie Frederico dos Santos Liporace AMS Kepler

MODIS IMAGES RESTORATION FOR VNIR BANDS ON FIRE SMOKE AFFECTED AREA

Lake Monitoring in Wisconsin using Satellite Remote Sensing

The Sentinel-4/UVN instrument on-board MTG-S

MOD09 (Surface Reflectance) User s Guide

Fig.1. The DAWN spacecraft

Advanced Himawari Imager (AHI) Design and Operational Flexibility Dr. Paul C. Griffith

LANDSAT 7 - GROUND SEGMENT ACTIVITIES AT THE GERMAN REMOTE SENSING DATA CENTER. Deutsches Fernerkundungsdatenzentrum (DFD) DLR (*)

The contribution of ROSAS automated photometric station to vicarious calibration of PLEIADES PHR1A satellite

The USGS Landsat Big Data Challenge

Validating MOPITT Cloud Detection Techniques with MAS Images

MODULATION TRANSFER FUNCTION MEASUREMENT METHOD AND RESULTS FOR THE ORBVIEW-3 HIGH RESOLUTION IMAGING SATELLITE

WATER BODY EXTRACTION FROM MULTI SPECTRAL IMAGE BY SPECTRAL PATTERN ANALYSIS

Automated Spacecraft Scheduling The ASTER Example

SPOT Satellite Earth Observation System Presentation to the JACIE Civil Commercial Imagery Evaluation Workshop March 2007

Cloud detection and clearing for the MOPITT instrument

Virtual constellations, time series, and cloud screening opportunities for Sentinel 2 and Landsat

Optical multi-spectral images: processing and applications

How to calculate reflectance and temperature using ASTER data

Passive Remote Sensing of Clouds from Airborne Platforms

How To Measure Solar Spectral Irradiance

Data Processing Developments at DFD/DLR. Stefanie Holzwarth Martin Bachmann, Rudolf Richter, Martin Habermeyer, Derek Rogge

Landsat 7 Automatic Cloud Cover Assessment

Use of the Moon to support on-orbit sensor calibration for climate change measurements

Remote Sensing Satellite Information Sheets Geophysical Institute University of Alaska Fairbanks

Evaluation of VIIRS cloud top property climate data records and their potential improvement with CrIS

Data Processing Flow Chart

SAMPLE MIDTERM QUESTIONS

A remote sensing instrument collects information about an object or phenomenon within the

Remote Sensing of Clouds from Polarization

Obtaining and Processing MODIS Data

Ocean Colour experience SeaWiFS / MODIS / VIIRS

Resolutions of Remote Sensing

AAFC Medium-Resolution EO Data Activities for Agricultural Risk Assessment

Remote sensing and GIS applications in coastal zone monitoring

Cloud Detection over Snow and Ice Using MISR Data

CLOUD MASKING AND CLOUD PRODUCTS ROUNDTABLE EXPECTED PARTICIPANTS: ACKERMAN, HALL, WAN, VERMOTE, BARKER, HUETE, BROWN, GORDON, KAUFMAN, SCHAAF, BAUM

Ocean Level-3 Standard Mapped Image Products June 4, 2010

EO Information Services in support of West Africa Coastal vulnerability - Service Utility Review -

Finding and Downloading Landsat Data from the U.S. Geological Survey s Global Visualization Viewer Website

Quantifying Seasonal Variation in Cloud Cover with Predictive Models

P1.24 USE OF ACTIVE REMOTE SENSORS TO IMPROVE THE ACCURACY OF CLOUD TOP HEIGHTS DERIVED FROM THERMAL SATELLITE OBSERVATIONS

Using Remote Sensing Imagery to Evaluate Post-Wildfire Damage in Southern California

Lectures Remote Sensing

INVESTIGA I+D+i 2013/2014

Cloud Masking and Cloud Products

Satellite'&'NASA'Data'Intro'

2.3 Spatial Resolution, Pixel Size, and Scale

Surface Atmosphere Radia3on Budget (SARB) working group update

How Landsat Images are Made

Assessment of the Visible Channel Calibrations of the VIRS on TRMM and MODIS on Aqua and Terra

V6 AIRS Spectral Calibra2on

Improving global data on forest area & change Global Forest Remote Sensing Survey

Supervised Classification workflow in ENVI 4.8 using WorldView-2 imagery

Evaluations of the CALIPSO Cloud Optical Depth Algorithm Through Comparisons with a GOES Derived Cloud Analysis

Electromagnetic Radiation (EMR) and Remote Sensing

Comparison of NOAA's Operational AVHRR Derived Cloud Amount to other Satellite Derived Cloud Climatologies.

Land Use/Land Cover Map of the Central Facility of ARM in the Southern Great Plains Site Using DOE s Multi-Spectral Thermal Imager Satellite Images

PIXEL-LEVEL IMAGE FUSION USING BROVEY TRANSFORME AND WAVELET TRANSFORM

Evaluation of the Effect of Upper-Level Cirrus Clouds on Satellite Retrievals of Low-Level Cloud Droplet Effective Radius

Hyperspectral Satellite Imaging Planning a Mission

Saharan Dust Aerosols Detection Over the Region of Puerto Rico

Estimating Firn Emissivity, from 1994 to1998, at the Ski Hi Automatic Weather Station on the West Antarctic Ice Sheet Using Passive Microwave Data

Assessing Cloud Spatial and Vertical Distribution with Infrared Cloud Analyzer

The MODIS online archive and on-demand processing

Using Remote Sensing to Monitor Soil Carbon Sequestration

TerraColor White Paper

Broadband and Spectral Shortwave Calibration Results from ARESE II

Studying cloud properties from space using sounder data: A preparatory study for INSAT-3D

Digital image processing

An Introduction to the MTG-IRS Mission

RESULTS FROM A SIMPLE INFRARED CLOUD DETECTOR

Software requirements * :

THE GOCI INSTRUMENT ON COMS MISSION THE FIRST GEOSTATIONARY OCEAN COLOR IMAGER

VIIRS-CrIS mapping. NWP SAF AAPP VIIRS-CrIS Mapping

A KNOWLEDGE-BASED APPROACH FOR REDUCING CLOUD AND SHADOW ABSTRACT

3D VISUALIZATION OF GEOTHERMAL WELLS DIRECTIONAL SURVEYS AND INTEGRATION WITH DIGITAL ELEVATION MODEL (DEM)

FRESCO. Product Specification Document FRESCO. Authors : P. Wang, R.J. van der A (KNMI) REF : TEM/PSD2/003 ISSUE : 3.0 DATE :

Towards agreed data quality layers for airborne hyperspectral imagery

Determining the Antarctic Ice Sheet Grounding Line with Photoclinometry using LANDSAT Imagery and ICESat Laser Altimetry

Dynamic IR Scene Projector Based Upon the Digital Micromirror Device

SATELLITE IMAGES IN ENVIRONMENTAL DATA PROCESSING

Assessment of Camera Phone Distortion and Implications for Watermarking

Measurement of the effect of biomass burning aerosol on inhibition of cloud formation over the Amazon

Remote sensing is the collection of data without directly measuring the object it relies on the

The Surface Energy Budget

Transcription:

CALCON 2013 Landsat-8 OLI: On-Orbit Spatial Uniformity, Absolute Calibration and Stability D. Helder F. Pesta J. Brinkmann L. Leigh D. Aaron --South Dakota State University Brian Markham Julia Barsi --NASA Goddard Space Flight Center Ron Morfitt Esad Micijevic --USGS EROS Jeff Czapla-Myers --University of Arizona 1

Outline On-orbit spatial uniformity Side-slither Lifetime statistics Absolute radiometric calibration PICS Vicarious Temporal Stability Diffuser Stim Lamps Acknowledgement: SDSU s contribution was supported by the NASA Landsat Project Science Office and USGS EROS. 2

OLI On-Orbit Spatial Stability: Side Slither Maneuver 3

FPA Projection Effect Side Slither 4

SS uncertainties vs. FPM Position FPM 1 FPM 2 FPM 13 FPM 14 1.004 1.002 Side-Slither Temporal Analysis - Band 1 FPM 1 Det. 1 Classic SMA Total 1.01 1.008 Side-Slither Temporal Analysis - Band 1 FPM 2 Det. 103 Classic SMA Total 1.01 1.008 Side-Slither Temporal Analysis - Band 1 FPM 13 Det. 402 Classic SMA Total 1.01 1.008 Side-Slither Temporal Analysis - Band 1 FPM 14 Det. 490 Classic SMA Total 1 1.006 1.006 1.006 0.998 1.004 1.004 1.004 Relative Gain 0.996 0.994 0.992 Relative Gain 1.002 1 0.998 Relative Gain 1.002 1 0.998 Relative Gain 1.002 1 0.998 0.99 0.996 0.996 0.996 0.988 0.994 0.994 0.994 0.986 0.992 0.992 0.992 0.984 03/2013 04/2013 05/2013 06/2013 Date of Collect 0.99 03/2013 04/2013 05/2013 06/2013 Date of Collect 0.99 03/2013 04/2013 05/2013 06/2013 Date of Collect 0.99 03/2013 04/2013 05/2013 06/2 Date of Collect Notes: 1. Plots show one representative detector rel gain across focal plane; grid division = 0.002 2. All vertical axes at same scale. 3. Error bars indicate standard deviation of measurement at each site. Relative Gain 1.015 1.013 1.011 1.009 1.007 1.005 1.003 1.001 0.999 0.997 Side-Slither Temporal Analysis - Band 1 FPM 7 Det. 203 Classic SMA Total 0.995 03/2013 04/2013 05/2013 06/2013 Date of Collect 1 FPM 7 FPM 8 2 7 Relative Gain 1.01 1.008 1.006 1.004 1.002 1 0.998 0.996 0.994 0.992 Side-Slither Temporal Analysis - Band 1 FPM 8 Det. 303 Classic SMA Total 0.99 03/2013 04/2013 05/2013 06/2013 Date of Collect 8 13 14 Notes: 1. Center FPMs indicate a sweet spot. --increased interaction between SS maneuver and site variability. --likely due to FPM alignment during SS maneuver. 2. Some indication of differences between desert and snow/ice sites --FPM 7 is an example 5

Relative Gain Analysis Greenland, Band 1 FPM 1 Default CPF Gains Streaking Metric S i = L i 1/2 L i 1 + L i+1 /L Libya SS Gains 6

OLI On-Orbit Spatial Stability: Relative Gains via Lifetime Statistics 7

Data Available Over a sufficiently large sample of orbits, the Earth can be treated as a pseudo-random process. Averaging pixel response should show residual pixel differences to uniform illumination USGS Earth Resources Observation and Science (EROS) stores linearized, background subtracted histogram statistics into their Trending Database These are Digital Counts before any absolute or relative gain correction is applied Relative gain estimation works best across scenes with both high scene mean high standard deviation Greenland Mali Ocean 8

Sahara Work Around 175/40 The Sahara Desert has high values in many bands, so it is a sample of the Global Distribution Using the average of 480 Available Scenes to find the average pixel column stats for each band 205/50 Then using the classic histogram method relative gains were calculation with FOV as reference RG i = L i L These relative gains were tested on a uniform scene over ice in Greenland 9

Coastal Aerosol (Band 1) 'LC80160042013118LGN01': 'Greenland Ice' Default Histogram Stats 10

Coastal Aerosol (Band 1) 'LC80160042013118LGN01': 'Greenland Ice' Default 11

Histogram Stats Coastal Aerosol (Band 1) 'LC80160042013118LGN01': 'Greenland Ice' 12

Striping Coastal Aerosol (Band 1) The streaking metric was reduced dramatically in Band 1 Greenland S i = L i 1/2 L i 1 + L i+1 /L Current (Pre-launch) Histogram Relative Gains Mali Ocean 13

OLI ABSOLUTE CALIBRATION: PICS 14

OLI On-Orbit Calibration: PICS Absolute Cal Model Calibrated detector-based approach using Terra MODIS Spectral information based on Hyperion The absolute calibration model is of the form ρ LLLLL 4 λ, SSS, VVV = K λ ρ h λ f A (t) [1 SSS 33 m 1 λ VVV λ m 2 λ VVV 2 m 3 λ ] Where, K = scaling factor, ρ h = spectral content of the scene obtained using Hyperion f A (t) = atmospheric model The BRDF coefficients for view zenith angle were derived using Terra MODIS and was scaled to 30 degrees solar zenith angle The BRDF coefficients for view zenith angle were derived using Hyperion measurements (± 18 deg) 15/39

Landsat 8 Trending Over Libya 4 6 Collects over Libya 4 starting from April 16. Clouds were visible in 2 images along the South-East Region Trended with smaller ROIs to avoid cloud ~ 60 km x 40 km 16/39

OLI Calibration Results over Libya 4 In general, all the bands are within 3%. Higher Differences in Blue, Green and SWIR. Random uncertainty is within 1.5% and systematic uncertainty is within 3% for all bands. 17/39

ON ORBIT ABSOLUTE CALIBRATION: UNIV. OF ARIZONA Jeff Czapla-Myers 18

SUMMARY OF UNIV. OF ARIZONA WORK FROM DSL 30-90 (18 MAR 11 MAY 2013) Number of days in field: 29 Field campaigns: 8 Field sites: 5 Landsat 8 OLI attempts: 11 Successful collects: 6 (2 during tandem flight with Landsat 7) Miles driven: ~11 000 19

CALCON 2013 COLLECTION SITES 1 2 1. Alkali Lake, NV (P41) 2. Railroad Valley, NV (P40) 3. Ivanpah Playa, CA (P39) 4. Red Lake Playa, AZ (P38 & P39) 5. McLaws Playa, AZ (P36) 3 4 5 20

Alkali Lake RRV Ivanpah Red Lake 21

SUMMARY OF ALL BANDS 6 successful Univ. of Arizona field collections 4 different sites in Arizona, California, and Nevada (Alkali Lake, NV clouded over) Uncertainty bars are 1-sigma standard deviation of the results TOA Spectral Radiance TOA Reflectance 22

23

OLI STABILITY: Lifetime Response Trends 24

Diamonds = Stim Lamps Squares = Diffuser 0.6% 25

VNIR Band Stability Blue Band 2: Δ = -0.2% Green Band 3: Δ 0.2% Red Band 4: Δ = +0.2% NIR Band 5: Δ = +0.1% 26

SWIR, Pan, & Cirrus Band Stability SWIR 1 Band 6: Δ 0.2% SWIR 2 Band 7: Δ 0.2% Pan Band 8: Δ = 0.2% Cirrus Band 9: Δ 0.2% 27

Summary & Conclusions On-orbit Spatial Uniformity Very uniform sensor, difficult to find scenes with stripes; coastal aerosol band worst offender Side-slither and lifetime statistics methods are effective in removing striping to streaking metric < 0.2% Vicarious Absolute Calibration: Reflectance-based PICS-based abs cal shows 3% deviation in Coastal aerosol while hovering around 1% in other bands Vicarious approach shows 5% and 4% in Coastal Aerosol and Blue bands and under 3% in the rest Vicarious Absolute Calibration: Radiance-based Initial results indicate within 5% requirement On-Orbit Temporal Stability Very stable instrument in all bands with stim lamps and diffuser in good agreement; no long term degradation apparent. Worst case stability in Coastal Aerosol band with degradation of 0.6% since launch, all other bands at 0.2% 28