IRS-P4 OCM (Ocean Colour Monitor) Current Status of the Mission OCM is functioning normally and data is received at four ground stations.

Slides:

Advertisements

Similar presentations

Summary of Terra and Aqua MODIS Long-term Performance Jack Xiong 1, Brian Wenny 2, Sri Madhaven 2, Amit Angal 3, William Barnes 4, and Vincent Salomonson.

Advertisements

CHRIS (Compact High Resolution Imaging Spectrometer) sira group sira electro-optics Dr Mike Cutter EO & Technology Business Manager.

Satellite Ocean Color Overview Dave Siegel – UC Santa Barbara With help from Chuck McClain, Mike Behrenfeld, Bryan Franz, Jim Yoder, David Antoine, Gene.

Status of Current Ocean- Colour Missions Indian Remote Sensing Satellite (IRS) P4 OCM.

Achieving Global Ocean Color Climate Data Records ASLO Aquatic Sciences Meeting 17 February 2011 – San Juan, Puerto Rico Bryan A. Franz and the NASA Ocean.

Spencer Anderson Brent Fogleman Daryl Vonhagel.  Objectives:  C-band (w = 3.8 – 7.5 cm) & X-band (w = 2.4 – 3.8 cm) IFSAR to acquire topographic data.

Proposed participation of the MODIS Aerosol team and Si-Chee in the Dry/wet AMC + SMOCC campaign in Amazonia August-November 2002 (There are question marks.

Orbits and Sensors Multispectral Sensors

Introduction, Satellite Imaging. Platforms Used to Acquire Remote Sensing Data Aircraft Low, medium & high altitude Higher level of spatial detail Satellite.

Remote Sensing of Mesoscale Vortices in Hurricane Eyewalls Presented by: Chris Castellano Brian Cerruti Stephen Garbarino.

Meteorological satellites – National Oceanographic and Atmospheric Administration (NOAA)-Polar Orbiting Environmental Satellite (POES) Orbital characteristics.

ESTEC July 2000 Estimation of Aerosol Properties from CHRIS-PROBA Data Jeff Settle Environmental Systems Science Centre University of Reading.

Geosynchronous Orbit A satellite in geosynchronous orbit circles the earth once each day. The time it takes for a satellite to orbit the earth is called.

Hyperspectral Satellite Imaging Planning a Mission Victor Gardner University of Maryland 2007 AIAA Region 1 Mid-Atlantic Student Conference National Institute.

Cooperative Institute for Meteorological Satellite Studies University of Wisconsin - Madison Steve Ackerman Director, Cooperative Institute for Meteorological.

Satellite basics Estelle de Coning South African Weather Service

Engineering Team (ET) 2 nd NASA PACE SDT Meeting 14 March 2012.

OC3522Summer 2001 OC Remote Sensing of the Atmosphere and Ocean - Summer 2001 Land/Ice Surface & Applications.

The IOCCG Atmospheric Correction Working Group Status Report The Eighth IOCCG Committee Meeting Department of Animal Biology and Genetics University.

Ben Gurion University Mission scientists (PI's) : Gérard Dedieu & Arnon Kanieli G. Dedieu 1, O. Hagolle 2, A. Karnieli 3, S. Cherchali 2 P. Ferrier 2 and.

EARLINET and Satellites: Partners for Aerosol Observations Matthias Wiegner Universität München Meteorologisches Institut (Satellites: spaceborne passive.

Menghua Wang, NOAA/NESDIS/ORA Atmospheric Correction using the MODIS SWIR Bands (1240 and 2130 nm) Menghua Wang (PI, NASA NNG05HL35I) NOAA/NESDIS/ORA Camp.

Analysis of GOCI data in Preparation for GEO-CAPE Curtiss O. Davis 1 ZhongPing Lee 2 1 COAS, Oregon State University, Corvallis, OR USA

Remote Sensing & Satellite Research Group

Ocean Color Radiometer Measurements of Long Island Sound Coastal Observational platform (LISCO): Comparisons with Satellite Data & Assessments of Uncertainties.

1 Applications of Remote Sensing: SeaWiFS and MODIS Ocean Color Outline  Physical principles behind the remote sensing of ocean color parameters  Satellite.

SCM 330 Ocean Discovery through Technology Area F GE.

An Introduction to Remote Sensing NASA Remote Sensing Training Geo Latin America and Caribbean Water Cycle capacity Building Workshop Colombia, November.

 Introduction to Remote Sensing Example Applications and Principles  Exploring Images with MultiSpec User Interface and Band Combinations  Questions…

MERIS US Workshop, Silver Springs, 14 th July 2008 MERIS US Workshop, 14 July 2008, Washington (USA) Henri LAUR Envisat Mission Manager.

WP 8: Impact on Satellite Retrievals University of l’Aquila (DFUA [12]): Vincenzo Rizi Ecole Polytechnique (EPFL [13]): Bertrand Calpini Observatory of.

Ocean Color Remote Sensing Pete Strutton, COAS/OSU.

Terra Launched December 18, 1999

What is the key science driver for using Ocean Colour Radiometry (OCR) for research and applications? What is OCR, and what does it provide? Examples of.

Remote Sensing SPOT and Other Moderate Resolution Satellite Systems

Mirza Muhammad Waqar HYPERSPECTRAL REMOTE SENSING - SENSORS 1 Contact:

Menghua Wang, NOAA/NESDIS/ORA Refinement of MODIS Atmospheric Correction Algorithm Menghua Wang (PI, NASA NNG05HL35I) NOAA/NESDIS/ORA Camp Springs, MD.

As components of the GOES-R ABI Air Quality products, a multi-channel algorithm similar to MODIS/VIIRS for NOAA’s next generation geostationary satellite.

Within dr, L changes (dL) from… sources due to scattering & emission losses due to scattering & absorption Spectral Radiance, L(, ,  ) - W m -2 sr -1.

Satellites Storm “Since the early 1960s, virtually all areas of the atmospheric sciences have been revolutionized by the development and application of.

Polarization analysis in MODIS Gerhard Meister, Ewa Kwiatkowska, Bryan Franz, Chuck McClain Ocean Biology Processing Group 18 June 2008 Polarization Technology.

Optical Properties in coastal waters change rapidly on very fine spatial scales. The existence of multiple ocean color systems provides a unique capability.

Goddard Earth Sciences Data and Information Services Center, NASA/GSFC, Code 902, Greenbelt, Maryland 20771, USA INTRODUCTION  NASA Goddard Earth Sciences.

Geosynchronous Orbit A satellite in geosynchronous orbit circles the earth once each day. The time it takes for a satellite to orbit the earth is called.

KMA Proprietary Material 4 th GOES-R Users’ Conference 1 Introduction to Communication, Ocean & Meteorological Satellite Hee-Hoon Lee Korea Meteorological.

Data acquisition From satellites with the MODIS instrument.

OC3522Summer 2001 OC Remote Sensing of the Atmosphere and Ocean - Summer 2001 Ocean Color.

MODIS-Terra cross-calibration for ocean color bands Ewa Kwiatkowska Bryan Franz, Gerhard Meister Ocean Biology Processing Group 13 May 2008 MODIS Science.

Altimeter and scatterometer seminar SMHI, March 2012 Future of satellite altimeters Sentinel-3 and SWOT Julia Figa Saldaña With contributions from Sentinel-3.

Orbits and Sensors Multispectral Sensors. Satellite Orbits Orbital parameters can be tuned to produce particular, useful orbits Geostationary Sun synchronous.

GSICS meeting 5-8 March 2012, Beijing, China Slide: 1 Discussion Using GOME and SCIAMACHY as re- calibration reference for Visible and Near-Infrared channels.

GPM Global Precipitation Measurement 3. Future Program.

OCEAN COLOR INSTRUMENT (OCI) ON THE PLANKTON, AEROSOL, CLOUD AND OCEAN ECOSYSTEM (PACE) MISSION: CURRENT CONCEPT GERHARD MEISTER PACE INSTRUMENT SCIENTIST.

Satellite based Sensors for Agricultural Applications

Goal meeting : to inform each other about on-going/up-coming work related to CO TROPOMI to see if more/stronger collaboration is possible/needed to plan.

The Lodore Falls Hotel, Borrowdale

NOAA VIIRS Team GIRO Implementation Updates

Benjamin Scarino, David R

Lunar observation data set preparation

Deep Convective Clouds (DCC) BRDF Characterization Using PARASOL Bidirectional Observations Bertrand Fougnie CNES.

NASA – Sea-viewing Wide Field-of-view Sensor (SeaWiFS)

ERT 247 SENSOR & PLATFORM.

Using SCIAMACHY to calibrate GEO imagers

IKONOS ~Derived from the Greek term eikōn, meaning image~

Changchun Institute of Optics Fine Mechanics and Physics

MODIS L1B Data Product Uncertainty Index Jack Xiong (Xiaoxiong

Worldview II Launched October 8, 2009 Altitude: 770 km

Presentation Overview

Deep Convective Clouds (DCC) BRDF Characterization Using PARASOL Bidirectional Observations Bertrand Fougnie CNES.

GLAS Cloud Statistics and Their Implications for a Hybrid Mission

Presentation transcript:

IRS-P4 OCM (Ocean Colour Monitor) Current Status of the Mission OCM is functioning normally and data is received at four ground stations.

IRS-P4 OCM (Ocean Colour Monitor)  LAUNCH: May 26, 1999 (by PSLV from SHAR, India)  POLAR SUNSYNCHRONOUS (Alt: 720 km, incl: 98 o 28’)  EQUATORIAL CROSSING TIME: 1200 hrs  10 minutes (descending node)  ALONG TRACK TILT :  20 o (to avoid sun glint)  GROUND RESOLUTION: 360 m x 236 m  SWATH :  43  (1,420 km)  QUANTISATION : 12 bits

OCM payload : Main specifications

OCM data products Level -1: Geo & radiometrically corrected radiances for scenes of sizes (i) ~ 1420 km x 1420 km (ii) ~ 710 km x 710 km (quadrant products) (iii) ~ 100 km x 100 km Level -2: Standard products over the above scenes of (i) Chlorophyll (ii) Suspended sediments (iii) Yellow substance (iii) Diffuse attenuation coefficient (iv) Aerosol optical depth (v) Normalised water leaving radiances (to be incorporated)

OCM data products (Contd..) Level -3: Weekly and monthly averages on a trial basis being generated for (i) Chlorophyll (ii) Suspended (iii) Diffuse attenuation coefficient (iv) Aerosol optical depth OCM coverage around India is available for browsing in the NRSA website Level -1& 2 can be acquired by users directly from NRSA on payment The processing s/w developed at SAC is distributed to users for a nominal cost

Oceansat II - OCM Will have ocean Colour monitor (OCM) and scatterometer. Proposed launch during Spectral bands: 8 bands between nm. On-board recording for global coverage (1- 4 km). Provision of sun and moon calibration to assess stability of sensor performance. Sun-synchronous orbit with equatorial crossing at 1200 noon.

Spectral Bands BandsCentral wavelength (nm) Bandwidth (nm) Application Yellow substance absorption Low chlorophyll-a Moderate Chlorophyll-a High Chlorophyll-a Chlorophyll/sediments Sediments Atmospheric correction