A. K Mitra, A.K Sharma and Shailesh Parihar

Slides:



Advertisements
Similar presentations
NOAA National Geophysical Data Center
Advertisements

Future Directions and Initiatives in the Use of Remote Sensing for Water Quality.
Preliminary Study of Lunar Calibration for Geostationary Imagers Japanese Multi-functional Transport SATellite-2 (MTSAT-2) incorporates the special device.
UPRM Lidar lab for atmospheric research 1- Cross validation of solar radiation using remote sensing equipment & GOES Lidar and Ceilometer validation.
TRMM Tropical Rainfall Measurement (Mission). Why TRMM? n Tropical Rainfall Measuring Mission (TRMM) is a joint US-Japan study initiated in 1997 to study.
Class 8: Radiometric Corrections
Xin Kong, Lizzie Noyes, Gary Corlett, John Remedios, Simon Good and David Llewellyn-Jones Earth Observation Science, Space Research Centre, University.
Lunar Observations of Changes in the Earth’s Albedo (LOCEA) Alexander Ruzmaikin Jet Propulsion Laboratory, California Institute of Technology in collaboration.
ESTEC July 2000 Estimation of Aerosol Properties from CHRIS-PROBA Data Jeff Settle Environmental Systems Science Centre University of Reading.
Cooperative Institute for Meteorological Satellite Studies University of Wisconsin - Madison Steve Ackerman Director, Cooperative Institute for Meteorological.
Surface Reflectance over Land: Extending MODIS to VIIRS Eric Vermote NASA GSFC Code 619 MODIS/VIIRS Science Team Meeting, May.
2010 CEOS Field Reflectance Intercomparisons Lessons Learned K. Thome 1, N. Fox 2 1 NASA/GSFC, 2 National Physical Laboratory.
Implementation of Vicarious Calibration for High Spatial Resolution Sensors Stephen J. Schiller Raytheon Space and Airborne Systems El Segundo, CA Collaborators:
Satellite Imagery and Remote Sensing NC Climate Fellows June 2012 DeeDee Whitaker SW Guilford High Earth/Environmental Science & Chemistry.
EARLINET and Satellites: Partners for Aerosol Observations Matthias Wiegner Universität München Meteorologisches Institut (Satellites: spaceborne passive.
October 29-30, 2001MEIDEX - Crew Tutorial - Calibration F - 1 MEIDEX – Crew Tutorial Calibration of IMC-201 Adam D. Devir, MEIDEX Payload Manager.
Center for Satellite Applications and Research (STAR) Review 09 – 11 March 2010 Image: MODIS Land Group, NASA GSFC March 2000 Image: MODIS Land Group,
Page 1 ENVISAT Validation Review – Frascati – 9-13 December st Envisat Validation Workshop MERIS, December 2002 Conclusions and Recommendations.
Modern Era Retrospective-analysis for Research and Applications: Introduction to NASA’s Modern Era Retrospective-analysis for Research and Applications:
Spectral unmixing of vegetation, soil and dry carbon cover in arid regions: comparing multispectral and hyperspectral observations G.P.Asner and K.B.Heidebrecht.
2005 ARM Science Team Meeting, March 14-18, Daytona Beach, Florida Canada Centre for Remote Sensing - Centre canadien de télédétection Geomatics Canada.
The Second TEMPO Science Team Meeting Physical Basis of the Near-UV Aerosol Algorithm Omar Torres NASA Goddard Space Flight Center Atmospheric Chemistry.
14 ARM Science Team Meeting, Albuquerque, NM, March 21-26, 2004 Canada Centre for Remote Sensing - Centre canadien de télédétection Geomatics Canada Natural.
R. T. Pinker, H. Wang, R. Hollmann, and H. Gadhavi Department of Atmospheric and Oceanic Science, University of Maryland, College Park, Maryland Use of.
Calibration and validation of satellite sensors 1 Sharlene-Asia Naicker Maanda Rambau Sedzani Elia Muravha Amanda Forbes Busisiwe Nkuzani Busisiwe Nkuzani.
Center for Satellite Applications and Research (STAR) Review 09 – 11 March 2010 Image: MODIS Land Group, NASA GSFC March 2000 Image: MODIS Land Group,
Progress of in-flight Calibration of HJ-1A/HSI Li Chuanrong Invited expert of NRSCC Professor and Vice President Academy of Opto-Electronics,CAS Phuket,
Use of the Moon as a calibration reference for NPP VIIRS Frederick S. Patt, Robert E. Eplee, Robert A. Barnes, Gerhard Meister(*) and James J. Butler NASA.
Interannual Variability and Decadal Change of Solar Reflectance Spectra Zhonghai Jin Costy Loukachine Bruce Wielicki (NASA Langley research Center / SSAI,
Preliminary results from the new AVHRR Pathfinder Atmospheres Extended (PATMOS-x) Data Set Andrew Heidinger a, Michael Pavolonis b and Mitch Goldberg a.
Overview of Climate Observational Requirements for GOES-R Herbert Jacobowitz Short & Associates, Inc.
References: 1)Ganguly, S., Samanta, A., Schull, M. A., Shabanov, N. V., Milesi, C., Nemani, R. R., Knyazikhin, Y., and Myneni, R. B., Generating vegetation.
Japan Meteorological Agency, June 2016 Coordination Group for Meteorological Satellites - CGMS JMA’s Cal/Val activities Presented to CGMS-44 Working Group.
The International Ocean Colour Coordinating Group International Network for Sensor Inter- comparison and Uncertainty assessment for Ocean Color Radiometry.
Agency xxx, version xx, Date xx 2016 [update in the slide master] Coordination Group for Meteorological Satellites - CGMS Introduction to GSICS Presented.
A Rising Expectation for ISCCP to produce Long-Term Climate Data Records on Satellite Cloud Climatology over 30 years prepared by Toshiyuki KURINO, JMA.
Calibration of INSAT-3D Meteorological Satellite Imager Using the Moon Shailesh Parihar, A.K. Mitra, A.K. Sharma Ministry of Earth Sciences India Meteorological.
INSAT-3D CAL/VAL Site Joint Campaign Observations Data Analysis GSICS meeting dated By A.K. Sharma,Dr.Senthil Kumar,Dr Hiren Bhatt,Dr.A.D.Jeyaseelan,
Visible vicarious calibration using RTM
Thomas C. Stone U.S. Geological Survey, Flagstaff, AZ USA GSICS Research Working Group Meeting EUMETSAT 24−28 March 2014 Using the Moon as a Radiometric.
INSAT-3D Calibration Using Moon at IMD A.K. Mitra, Shailesh Parihar, S.K Peshin A.K. Sharma Ministry of Earth Sciences India Meteorological Department,
A.K. Mitra, Shailesh Parihar, S.K. Peshin Ministry of Earth Sciences
Committee on Earth Observation Satellites
Fourth TEMPO Science Team Meeting
Pre-launch Characteristics and Calibration
NOAA VIIRS Team GIRO Implementation Updates
. Agency Report of India Meteorological Department (GRWG+GRDG 2015)
Deep Convective Clouds (DCC) BRDF Characterization Using PARASOL Bidirectional Observations Bertrand Fougnie CNES.
Spectral Band Adjustment Factor (SBAF) Tool
Meteorological Satellite Center Japan Meteorological Agency
Vicarious calibration by liquid cloud target
The ROLO Lunar Calibration System Description and Current Status
Using Sun Glint and Antarctic Ice Sheets to Calibrate MODIS and AVHRR Observations of Reflected Sunlight William R. Tahnk and James A. Coakley, Jr Cooperative.
Centre National d’Etudes Spatiales - Toulouse - France
MODIS Lunar Calibration Data Preparation and Results for GIRO Testing
DETERMINATION OF PHOTOSYNTHETICALLY ACTIVE RADIATION
Update on Advancing Development of the ROLO Lunar Calibration System
USGS Status Frank Kelly, USGS EROS CEOS Plenary 2017 Agenda Item #4.14
GOES-R Hyperspectral Environmental Suite (HES) Requirements
Mina Kang1, Myoung-Hwan Ahn1, Quintus Kleipool2 and Pepijn Veefkind2
Towards achieving continental scale field validation and multi-sensor interoperability of satellite derived surface reflectance in Australia Medhavy Thankappan1,
Deep Convective Cloud BRDF characterization using PARASOL
The Successor of the TOU
Lunar reflectance model based on SELENE/SP data
Changchun Institute of Optics Fine Mechanics and Physics
Inter-calibration of the SEVIRI solar bands against MODIS Aqua, using Deep Convective Clouds as transfer targets Sébastien Wagner, Tim Hewison In collaboration.
Recent activities of OCR-VC
TanSat/CAPI Calibration and validation
Early calibration results of FY-4A/GIIRS during in-orbit testing
Consistent calibration of VIRR onboard FY-3A to FY-3C
Presentation transcript:

A. K Mitra, A.K Sharma and Shailesh Parihar CALIBRATION APPRACH FOR INSAT-3D SATELLTIE : FIRST JOINT CAMPAIGN IN JAISALMER, RAJASTHAN A. K Mitra, A.K Sharma and Shailesh Parihar Ministry of Earth Sciences India Meteorological Department New Delhi-INDIA 16-20 March 2015

Overview Vicarious calibration methods are one approach that has been used successfully for the absolute radiometric calibration. One of these vicarious calibration methods is the reflectance-based approach that is applied here for radiometric calibration of sensors onboard for geostationary satellite INSAT-3D. A joint campaign for radiometric calibration of optical sensor of INSAT-3D in the year 2013 has been made for a suitable site of atleast 5 km x 5 km area of time invariant and uniform reflectance over Thar Desert (desert sand), Jaisalmer in the state of Rajasthan. The initial field campaigns were made at the site and in-situ measurements were carried out to check the suitability of selected Calibration/Validation (Cal/Val) site.

Test carried out with hyper-spectral Spectroradiometer covering spectral range of 350nm-2500nm and Sun photometer / Ozonometer for measuring the atmospheric parameters in the region for radiometric characterization of site. The spectral signature and top of the atmosphere (TOA) radiance were computed using radiative transfer model 6S (Second Simulation of the Satellite Signal in the Solar Spectrum). The computed 6S TOA radiances then compared with the INSAT-3D measured radiances.

Major Tasks to performed… Radiometric calibration quality of INSAT-3D Imager data Sensor Performance, Ground Processing and Calibration Radiometric Accuracy & Consistency Data Products used for weather and climate applications

Payloads INSAT-3D has the following payloads on board the spacecraft: Six channel imager Nineteen channel sounder Data Relay Transponder(DRT) Satellite Aided Search and Rescue (SAS & R) System Visible (1 Km resolution) & Infra-red telescopes are the principle instruments on board the remote sensing satellites. These instruments need to be calibrated frequently, so that physically meaningful results can be obtained.

The Purpose of the Presentation Effort to produce consistent, well-calibrated data from the calibration of INSAT-3D Emphasis on systematic calibration/Validation on INSAT-3D Imager products Improve the vicarious calibration method through Radiative Transfer Model Establish best suited ground site for vicarious calibration method

Justification for having a CAL/VAL site Post-launch calibration and characterization of meteorological satellite sensors is a keenly felt need in most applications of satellite data for climate research which requires very high accuracies which can only be assured if the calibration of the instruments on board different satellites is accurately known and maintained. Since the visible sensor on INSAT-3D has no onboard calibration device, it is necessary to develop post-launch calibration coefficients (or slopes) which take into account the in-orbit degradation of the sensor so that the derived products are rendered accurate. A Cal/Val site therefore needs to be established and maintained

Site selection criteria In order to calibrate and validate low and mid resolution optical sensors using vicarious calibration first is the need of finding a suitable test site where regular ground campaigns can be made. So, for this purpose we proposed to establish a land based Cal/Val site for INSAT-3D satellite for Visible and SWIR channel over Jaisalmer, Rajasthan, India

Reflectance Based Approach

Field Campagin

Second Simulation of the Satellite Signal in the Solar Spectrum (6S) 6S model which can accurately simulate the problems introduced by the presence of the atmosphere along the path from Sun to Target (surface) to Senor. It can be said with the different comparison and validation exercises that 6S complies well with the standard RT model accuracy requirement of calculations within 1% [Vermote & Kotchenova, 2008].

Ground Measure Data In-situ data collected and analysis Wavelength range of Spectroradiometer Meteorological Parameters (AOT, OZONE, WV) Wind Direction Ground reflectance data with INSAT-3D albedo comparison Combined plot of ground reflectance and removed wild points from 17-21, Dec 2013 Ground measured reflectance averaged over pixel area (Five Pixels are considered) Sensor Measured (INSAT-3D) and TOA Radiance along with dates Combined plot of TOA radiance for SAC, Ahmedabad and RRSC-W NRSC (ISRO), Jodhpur and INSAT-3D radiance 6S TOA Radiance and INSAT-3D Radiance

Measurements'

Wavelength range of Spectroradiometer

Meteorological Parameters

In-situ ground reflectance

Sensor Measured (INSAT-3D) and 6S Computed TOA Radiance Negative correlation has been observed between 6s simulated radiance and INSAT-3D measured radiance

Conclusion High variation in reflectance and less statistical correlation agreement do not satisfy the condition of “Radiometrically uniform calibration site” in its present condition. It was jointly suggested by the Cal/Val team to search some other suitable site for INSAT-3D Cal/Val.

Proposals Pros: The on-board calibration provided us accuracy of data products. It is beneficial for climate studies and re-analysis of NWP models. Cons: The magnitude and impact of climate change are not, at present, clearly defined. We do not presently observe Earth’s climate system with sufficient accuracy to establish a climate record that is tested and trusted, nor are climate observations in place that can adequately constrain climate model predictions. Poor understanding of the optical properties and spatial distribution of atmospheric aerosols and other variable components necessary for tying ground-based measurements to satellite measurements. For in-situ Cal/Val, need for standardized ways of procedures and combining data from different sources to ensure interoperability and promotes the international exchange of technical information and documentation, joint experiments, and the sharing of facilities, expertise, and resources..

Collaborative activities between the world’s major space agencies in the area of climate monitoring with the overarching goal to improve the systematic availability of Climate Data Records through the coordinated implementation and further development of a global architecture for climate monitoring from space. Identify test sites and encourage continuing observations and intercomparison of data from these sites. REFERENCE CALIBRATION/VALIDATION OF INSAT-3D SATELLITE: FIRST JOINT CAMPAIGN IN JAISALMER DURING 14-23, DECEMBER 2013 Meteorological Monograph No. ESSO/IMD/SATMET/01/2014/07 (2014)

Thank You