Available Ocean Color Satellite Imagery
|
|
|
- Kerrie Gibson
- 5 years ago
- Views:
Transcription
1 Available Ocean Color Satellite Imagery Mati Kahru Scripps Institution of Oceanography UCSD, La Jolla, CA , USA also at WimSoft, /12/2010 Wimsoft
2 12/12/2010 Wimsoft C Mati Kahru,
3 Historical Ocean-Colour Sensors SENSOR AGENCY SATELLITE CZCS CMODIS COCTS CZI GLI MMRS NASA (USA) CNSA (China) CNSA (China) CNSA (China) NASDA (Japan) CONAE (Argentina) Nimbus-7 (USA) SZ-3 (China) HY-1A (China) HY-1A (China) ADEOS-II (Japan) SAC-C (Argentina) OPERATING DATES 24/10/78-22/6/86 25/3/02-15/9/02 15/5/02-1/4/04 15/5/02-1/4/04 14/12/02-24/10/03 21/11/00 ~ 2009 SWATH (km) RESOLUTION (m) # OF BANDS SPECTRAL COVERAGE(n m) ORBIT Polar ,500 Polar ,500 Polar Polar / ,500 Polar Polar MOS DLR (Germany) IRS P3 (India) 21/3/96-31/5/ Polar OCI NEC (Japan) ROCSAT-1 (Taiwan) 27/01/99-16/6/ ,500 Polar OCTS NASDA (Japan) ADEOS (Japan) 17/8/96-29/6/ ,500 Polar OSMI KARI (Korea) KOMPSAT-1 /Arirang- 1(Korea) 20/12/99-31/1/ Polar POLDER CNES (France) ADEOS (Japan) 17/8/96-29/6/ km Polar POLDER-2 CNES (France) ADEOS-II (Japan) 14/12/02-24/10/ updated 02/23/2010
4 4
5 5
6 SeaWiFS sensor on OrbView 2 Orbit: Type: Sun-synchronous Altitude: 705 km Equatorial Crossing: Noon ± 20 min Inclination: 98.2 Period: 99 minutes <- before launch SeaWiFS, launched in 1997, still the gold standard in ocean color due to best orbit (noon), tilting away from the Sun glint, and best calibration SeaWiFS/OrbView 2 - the only sensor on the platform while MODIS/Aqua, MERIS/Envisat, etc have many instruments with conflicting requirements SeaWiFS calibration is a mixture of in-flight calibration against the Moon plus vicarious calibration versus MOBY 6
7 SeaWiFS, 1997/09 present, ~4 km (GAC) globally, 1 km (merged LAC) available globally , from 2006 for ~N America 7
8 CZCS on NIMBUS-7, 1978/ /06, 1 km, reprocessed 2006 gap, 1986/ /10, ~ 10 years (local and interrupted coverage by MOS in 1996) OCTS on ADEOS, 1996/ /06, (1 km) 4 km, reprocessed 2006 gap, 1997/ /09, ~ 2 months SeaWiFS, 1997/09 present, 1 km, after 2005 limited LAC (MLAC), GAC, interrupted data flow from 2008 on MODIS onterra, 1999-, 1 km, 250 m, bad calibration MERIS on ENVISAT, 2002, 1 km (RR), 300 m (FR), Sentinel follow-on) MODIS on Aqua, 2002/11-present, 1 km, 250 m GLI on ADEOS-2, failed after ~6 months, 2003 VIIRS on NPP (NPOESS Preparatory Mission), Oct. 2011? VIIRS on JPSS1 (Joint Polar Satellite System), formerly NPOESS, ~3/2015? VIIRS on JPSS2, ~5/2018? ACE, GEO-CAPE, Hyspiri 8
9 Processing Level: Level 0 - raw radiance counts from sensor, spacecraft and instrument telemetry data Level 1A -Level-0 data with appended calibration and navigation data, instrument and spacecraft telemetry Level 1B calibrated radiances at sensor level, i.e. TOA Level 2 - geophysical values, derived from Level-1A by applying sensor calibration, atmospheric corrections, and bio-optical algorithms, e.g. chlor_a, Rrs412, Rrs443,.. Level 3 - Binned (time and space), SMI (Standard Mapped Image) mapped to Equidistant Cylindrical projection, at ~ 4.6 km, 9 km spatial resolution Level 4 After application of models (e.g. Net Primary Production, Export Flux of Carbon) to L3 data 9
10 Examples: Level 2 - geophysical values, derived by applying calibrations, atmospheric corrections, and bio-optical algorithms, e.g. chlor_a, Rrs412, Rrs443,.. Level 3 - Binned (time and space), SMI (Standard Mapped Image) mapped to Equidistant Cylindrical projection, at ~ 4.6 km, 9 km spatial resolution Level 4 After application of models (e.g. Net Primary Production, Export Flux of Carbon) to L3 data 10
11 Use Level-1&2 browser to download individual L2 datasets (swaths), or order multiple sets of L2 data Use FTP (wget) to download global mapped L3 (SMI) data, then bzip2 d or gzip -d
12
13 Contents of a MODIS L2 file (R2009.1): longitude, latitude aot_869, angstrom Rrs_412, 443, 469, 488, 531, 547, 555, 645, 667, 678 chlor_a Kd_490 pic poc cdom_index ipar nflh par l2_flags In earlier versions: nlw_412, nlw_443, nlw_488, nlw_531, nlw_551, nlw_667, sst 13
14 Contents of a MODIS SST L2 file (R2007): longitude, latitude sst qual_sst l2_flags 14
15 Contents of a SeaWiFS L2 file (R2009.1): longitude, latitude aot_865 angstrom Rrs_412, 443, 490, 510, 555, 670 chlor_a Kd_490 pic poc cdom_index par l2_flags 15
16 MERIS RR (reduced resolution, = 1 km) data freely available Dataset Product type Server Address MERIS RR reprocessed dataset MER_RR 1P MER_RR 2P Caution: downloading slow and tricky MERIS FR (Full Resolution, = 300 m) data available with restrictions U s P e a r n s a w o m e r d
17 Contents of a MERIS L2 RR file: reflec_1,, reflec_14 water_vapour algal_1 (empirical band ratio algorithm) algal_2 (NN algorithm) yellow_subs total_susp photosyn_rad toa_veg, boa_veg rect_refl_red, rect_refl_nir surf_press aero_alpha aero_opt_tick_443, 550, 865 cloud_albedo, cloud_opt_thick, cloud_top_press, cloud_type l2_flags 17
18 FTP service: ftp.acri.fr, login globcolour_data, password fgh678 Directories: GLOB_4KM, EURO_4KM, EURO_2KM
19 FTP service: ftp.acri.fr, login globcolour_data, password fgh678 Directories: GLOB_4KM, EURO_4KM, EURO_2KM Directory structure under FPS: Contents of a GLobColour 4 km CHL1 file: CHL1_mean in ISIN projection (4.7 km)
20 Tools SeaDAS Pros: Free, developed by NASA, essential for L1->L2 processing (calibration, atmospheric correction), source code in C, IDL Cons: antiquated user interface, no native Windows version (through virtual machine) BEAM Pros: Free, developed by Brockmann Consult for ESA, modern user interface written in Java Cons: primarily for MERIS and other Envisat sensors WIM/WAM Pros: Many high-level applications, e.g. anomalies, fronts, EOF, trend detection, native Windows interface Cons: not free,
21 Course materials:
Light penetration within a clear water body. E z = E 0 e -kz
THE BLUE PLANET 1 2 Light penetration within a clear water body E z = E 0 e -kz 3 4 5 6 Pure Seawater Phytoplankton b w 10-2 m -1 b w 10-2 m -1 b w, Morel (1974) a w, Pope and Fry (1997) b chl,loisel and
Light penetration within a clear water body. E z = E 0 e -kz
THE BLUE PLANET 1 2 Light penetration within a clear water body E z = E 0 e -kz 3 4 5 Pure Seawater Phytoplankton b w 10-2 m -1 b w 10-2 m -1 b w, Morel (1974) a w, Pope and Fry (1997) b chl,loisel and
Sustained Ocean Color Research and Operations
Sustained Ocean Color Research and Operations What are the minimum requirements to continue the SeaWiFS/MODIS time-series? Based on a National Research Council report by the Ocean Studies Board May 2011
NASA OBPG Satellite Ocean Color Update
NASA OBPG Satellite Ocean Color Update Bryan Franz and the Ocean Biology Processing Group NASA Goddard Space Flight Center IOCS Meeting Ocean Color Research Team Meeting 18 May 2017, Lisbon, Portugal NASA
DEVELOPING AN OCEAN COLOUR SERVICE SUPPORTING GLOBAL CARBON-CYCLE RESEARCH AND OPERATIONAL OCEANOGRAPHY
DEVELOPING AN OCEAN COLOUR SERVICE SUPPORTING GLOBAL CARBON-CYCLE RESEARCH AND OPERATIONAL OCEANOGRAPHY Odile Fanton d'andon 1, Samantha Lavender 2, Antoine Mangin 1 and Simon Pinnock 3 (1) ACRI-ST, France
On the use of water color missions for lakes in 2021
Lakes and Climate: The Role of Remote Sensing June 01-02, 2017 On the use of water color missions for lakes in 2021 Cédric G. Fichot Department of Earth and Environment 1 Overview 1. Past and still-ongoing
MERIS instrument. Muriel Simon, Serco c/o ESA
MERIS instrument Muriel Simon, Serco c/o ESA Workshop on Sustainable Development in Mountain Areas of Andean Countries Mendoza, Argentina, 26-30 November 2007 ENVISAT MISSION 2 Mission Chlorophyll case
The OCR-VC addresses the following strategic objectives towards these goals:
TERMS OF REFERENCE FOR THE CEOS OCEAN COLOR RADIOMETRY VIRTUAL CONSTELLATION VERSION 3.1 LAST MODIFIED: 19 DECEMBER 2013 CONSTELLATION NAME: Ocean Color Radiometry Virtual Constellation (OCR-VC) MISSION
MERIS data access over diagnostic sites for calibration and validation purposes
MERIS data access over diagnostic sites for calibration and validation purposes Philippe Goryl ESA / ESRIN Philippe.Goryl@esa.int Carsten Brockman Brockman Consult Workshop on Inter-Comparison of Large
Operational Satellite Missions
Operational Satellite Missions Francois Parisot (EUMETSAT) with contributions from the plenary paper co-authors Slide: 1 Outline 1. What do we mean by an Operational Satellite Missions or by Transition
The Global Imager (GLI)
The Global Imager (GLI) Launch : Dec.14, 2002 Initial check out : to Apr.14, 2003 (~L+4) First image: Jan.25, 2003 Second image: Feb.6 and 7, 2003 Calibration and validation : to Dec.14, 2003(~L+4) for
Geospatial Vision and Policies Korean Industry View 26 November, 2014 SI Imaging Services
Geospatial Vision and Policies Korean Industry View 26 November, 2014 SI Imaging Services Distribution Limitation, SI Imaging Services Proprietary Data : The data contained in this document, without the
Detection of Change with Time Series of Satellite Images
Detection of Change with Time Series of Satellite Images Please see \Course\4\Detection_of_Change.pdf on DVD or http://www.wimsoft.com/course/4/detection_of_change.pdf Detection of change is a hot topic
9/12/2011. Training Course Remote Sensing Basic Theory & Image Processing Methods September 2011
Training Course Remote Sensing Basic Theory & Image Processing Methods 19 23 September 2011 Popular Remote Sensing Sensors & their Selection Michiel Damen (September 2011) damen@itc.nl 1 Overview Low resolution
3 Selecting the standard map and area of interest
Anomalies, EOF/PCA with WAM Mati Kahru 2005-2009 1 Anomalies, EOF/PC analysis with WAM 1 Introduction Calculating anomalies is a powerful method of change detection in time series. Empirical Orthogonal
Copernicus Introduction Lisbon, Portugal 13 th & 14 th February 2014
Copernicus Introduction Lisbon, Portugal 13 th & 14 th February 2014 Contents Introduction GMES Copernicus Six thematic areas Infrastructure Space data An introduction to Remote Sensing In-situ data Applications
Futrajaya, Malaysia JULY 12, Jeong Heon SONG. Korea Aerospace Research Institution
J P T M 2 0 1 1 Futrajaya, Malaysia JULY 12, 2011 Jeong Heon SONG Korea Aerospace Research Institution Outline Contribution of KARI Sentinel Asia / Data Provider Node International Charter KARI Space Activities
Radiometric Validation of Sentinel-3
Radiometric Validation of Sentinel-3 by Kevin Ruddick, Dimitry Van Der Zande and Quinten Vanhellemont (RBINS, ODNature, REMSEM) Sentinel-2 Radiometric Validation of Sentinel-3 by Kevin Ruddick, Dimitry
Basics of Digital Image Analysis
Basics of Digital Image Analysis [ using Windows Image Manager = WIM ] Mati Kahru Scripps Institution of Oceanography/ University of California San Diego La Jolla, CA 92093-0218 mkahru@ucsd.edu also at
15 th IOCCG Committee Meeting Rio de Janeiro, Brazil, January 2010 MINUTES. 1.0 Welcome and Opening Session
1.1 Welcome and Opening Remarks 15 th IOCCG Committee Meeting Rio de Janeiro, Brazil, 18-20 January 2010 MINUTES 1.0 Welcome and Opening Session The Chairman, Prof. James Yoder opened the 15 th IOCCG Committee
Aquarius/SAC-D Mission Mission Simulators - Gary Lagerloef 6 th Science Meeting; Seattle, WA, USA July 2010
Aquarius/SAC-D Mission Mission Simulators - Gary Lagerloef 6 th Science Meeting; Seattle, WA, USA Mission Design and Sampling Strategy Sun-synchronous exact repeat orbit 6pm ascending node Altitude 657
Sixth IOCCG Committee Meeting La Jolla, California, January, 2001 MINUTES
Sixth IOCCG Committee Meeting La Jolla, California, 24-26 January, 2001 MINUTES The meeting took place at the Scripps Institution of Oceanography in La Jolla, California. Fourteen Committee members were
Lecture 6: Multispectral Earth Resource Satellites. The University at Albany Fall 2018 Geography and Planning
Lecture 6: Multispectral Earth Resource Satellites The University at Albany Fall 2018 Geography and Planning Outline SPOT program and other moderate resolution systems High resolution satellite systems
Fundamentals of Remote Sensing
Climate Variability, Hydrology, and Flooding Fundamentals of Remote Sensing May 19-22, 2015 GEO-Latin American & Caribbean Water Cycle Capacity Building Workshop Cartagena, Colombia 1 Objective To provide
GOCI Status and Cooperation with CoastColour Project
GOCI Status and Cooperation with CoastColour Project Joo-Hyung RYU Contribution from : KOSC colleaques Nov. 17, 2010 World 1 st GOCI/COMS Launch Campaign Launch Date : June 27 2010 Launch Vehicle : Ariane-V
Recent developments in Deep Blue satellite aerosol data products from NASA GSFC
Recent developments in Deep Blue satellite aerosol data products from NASA GSFC Andrew M. Sayer, N. Christina Hsu (PI), Corey Bettenhausen, Myeong-Jae Jeong Climate & Radiation Laboratory, NASA Goddard
Drafting Committee for the Asia Pacific Plan of Action for Space Applications for Sustainable Development ( ) Republic of Korea
Drafting Committee for the Asia Pacific Plan of Action for Space Applications for Sustainable Development (2018 2030) Republic of Korea Bangkok, Thailand 31 May 1 June 2018 김 1 KARI Introduction Government
Introduction to Remote Sensing Fundamentals of Satellite Remote Sensing. Mads Olander Rasmussen
Introduction to Remote Sensing Fundamentals of Satellite Remote Sensing Mads Olander Rasmussen (mora@dhi-gras.com) 01. Introduction to Remote Sensing DHI What is remote sensing? the art, science, and technology
Merger of Ocean Color Information from Multiple Satellite Missions under the NASA SIMBIOS Project Office
Merger of Ocean Color Information from Multiple Satellite Missions under the NASA SIMBIOS Project Office Ewa J. Kwiatkowska Giulietta S. Fargion Science Applications International Corporation SIMBIOS Project
Status of MODIS, VIIRS, and OLI Sensors
Status of MODIS, VIIRS, and OLI Sensors Xiaoxiong (Jack) Xiong, Jim Butler, and Brian Markham Code 618.0 NASA/GSFC, Greenbelt, MD 20771, USA Acknowledgements: NASA MODIS Characterization Support Team (MCST)
Operational Space-Based Imaging Systems
Operational Space-Based Imaging Systems R E M O T E S E N S I N G & G E O S PAT I A L A N A LY S I S L A B D O I : 2 0 A U G U S T, 2 0 1 6 Earth Observation Systems U.S. or foreign government systems
Brief introduction on Chinese ocean colour satellite missions
卫星海洋环境动力学国家重点实验室 Brief introduction on Chinese ocean colour satellite missions Zhihua Mao, Delu Pan State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, SOA 卫星海洋环境动力学国家重点实验室国家海洋局第二海洋研究所
The studies began when the Tiros satellites (1960) provided man s first synoptic view of the Earth s weather systems.
Remote sensing of the Earth from orbital altitudes was recognized in the mid-1960 s as a potential technique for obtaining information important for the effective use and conservation of natural resources.
AN INTRODUCTION TO MICROCARB, FIRST EUROPEAN PROGRAM FOR CO2 MONITORING.
AN INTRODUCTION TO MICROCARB, FIRST EUROPEAN PROGRAM FOR CO2 MONITORING. International Working Group on Green house Gazes Monitoring from Space IWGGMS-12 Francois BUISSON CNES With Didier PRADINES, Veronique
Multi-sensor data base over desert sites for calibration purpose. P. Henry ¹, X. Briottet ², C. Miesch ², F. Cabot ¹ ¹CNES, ²ONERA
Multi-sensor data base over desert sites for calibration purpose P. Henry ¹, X. Briottet ², C. Miesch ², F. Cabot ¹ ¹CNES, ²ONERA Outline Introduction SADE database Calibration method Some results Desert
VENµS: A Joint French Israeli Earth Observation Scientific Mission with High Spatial and Temporal Resolution Capabilities
VENµS: A Joint French Israeli Earth Observation Scientific Mission with High Spatial and Temporal Resolution Capabilities G. Dedieu 1, A. Karnieli 2, O. Hagolle 3, H. Jeanjean 3, F. Cabot 3, P. Ferrier
Japan's Greenhouse Gases Observation from Space
1 Workshop on EC CEOS Priority on GHG Monitoring Japan's Greenhouse Gases Observation from Space 18 June, 2018@Ispra, Italy Masakatsu NAKAJIMA Japan Aerospace Exploration Agency Development and Operation
ASSESSMENT BY ESA OF GCOS CLIMATE MONITORING PRINCIPLES FOR GMES
Prepared by ESA Agenda Item: III.5 Discussed in WG3 ASSESSMENT BY ESA OF GCOS CLIMATE MONITORING PRINCIPLES FOR GMES The ESA Sentinel missions are being designed for the GMES services, with special emphasis
National Aeronautics and Space Administration. Landsat Update. Jeff Masek, NASA GSFC Jim Irons, NASA GSFC. April 3, 2012 LCLUC Meeting.
National Aeronautics and Space Administration Landsat Update Jeff Masek, NASA GSFC Jim Irons, NASA GSFC April 3, 2012 LCLUC Meeting www.nasa.gov Agenda Landsat-5/7 Update LDCM / Landsat-8 Mission Status
From Proba-V to Proba-MVA
From Proba-V to Proba-MVA Fabrizio Niro ESA Sensor Performances Products and Algorithm (SPPA) ESA UNCLASSIFIED - For Official Use Proba-V extension in the Copernicus era Proba-V was designed with the main
Summary Recommendations from IOCS Splinter Sessions
Summary Recommendations from IOCS Splinter Sessions Recommendations from the Splinter Session on Advances in Atmospheric Correction of Satellite Ocean Colour Imagery (Chairs: Robert Frouin, Sean Bailey
Towards the Intercalibration of EO medium resolution multi-spectral imagers : MEREMSII Final Report Executive Summary
Page : i Towards the Intercalibration of EO medium resolution multi-spectral imagers MEREMSII FINAL REPORT EXECUTIVE SUMMARY ESA contract: 4000101605/10/NL/CBi ARGANS Reference: 003-009 Date: 14 January
1. INTRODUCTION. GOCI : Geostationary Ocean Color Imager
1. INTRODUCTION The Korea Ocean Research and Development Institute (KORDI) releases an announcement of opportunity (AO) to carry out scientific research for the utilization of GOCI data. GOCI is the world
SEN3APP Stakeholder Workshop, Helsinki Yrjö Rauste/VTT Kaj Andersson/VTT Eija Parmes/VTT
Optical Products from Sentinel-2 and Suomi- NPP/VIIRS SEN3APP Stakeholder Workshop, Helsinki 19.11.2015 Yrjö Rauste/VTT Kaj Andersson/VTT Eija Parmes/VTT Structure of Presentation High-resolution data
Looking at 637 nm VIIRS band, S-NPP
Looking at 637 nm VIIRS band, S-NPP bguenther@stellarsolutions.com (Sharpening I1) B. GUENTHER STELLAR SOLUTIONS, INC NOAA-JPSS 1 I am looking at houses and have a desire to know how much living area this
Geoinformatics. S S Jadhav Department of Geography M J College, Jalgaon Mail: Cell:
Geoinformatics S S Jadhav Department of Geography M J College, Jalgaon Mail: sahadeoj@gmail.com Cell: 9763267396 1 Satellite Remote Sensing: What is Remote Sensing? "Remote sensing is the science (and
OVERVIEW OF KOMPSAT-3A CALIBRATION AND VALIDATION
OVERVIEW OF KOMPSAT-3A CALIBRATION AND VALIDATION DooChun Seo 1, GiByeong Hong 1, ChungGil Jin 1, DaeSoon Park 1, SukWon Ji 1 and DongHan Lee 1 1 KARI(Korea Aerospace Space Institute), 45, Eoeun-dong,
CHAPTER 7: Multispectral Remote Sensing
CHAPTER 7: Multispectral Remote Sensing REFERENCE: Remote Sensing of the Environment John R. Jensen (2007) Second Edition Pearson Prentice Hall Overview of How Digital Remotely Sensed Data are Transformed
KOMPSAT Constellation. November 2012 Satrec Initiative
KOMPSAT Constellation November 2012 Satrec Initiative KOMPSAT Constellation KOMPSAT National program Developed and operated by KARI (Korea Aerospace Research Institute) Dual use : Government & commercial
Status of Aqua MODIS Reflective Solar Bands Calibration and Performance
EOS Status of Aqua MODIS Reflective Solar Bands Calibration and Performance Jack Xiong NASA GSFC, Greenbelt, MD 20771, USA A. Angal, H. Chen, X. Geng, D. Link, Y. Li, and A. Wu SSAI, 10210 Greenbelt Road,
QuikScat 6/19/ km AM, 6PM. 705 km :00 PM SeaWiFS. 705 km :01 AM. SeaWinds. Aqua (PM) 5/4/02
1997-2004 Revised: 7 January 2009 1997 1998 1999 2000 OrbView-2 1 8/1/97 12:00 PM SeaWiFS TRMM 11/27/97 402 km 35 CERES LIS VIRS TMI PR Landsat 7 4/15/99 10:05 AM ETM+ QuikScat 6/19/99 803 km 98.6 6 AM,
CLOUD SCREENING METHOD FOR OCEAN COLOR OBSERVATION BASED ON THE SPECTRAL CONSISTENCY
CLOUD SCREENING METHOD FOR OCEAN COLOR OBSERVATION BASED ON THE SPECTRAL CONSISTENCY H. Fukushima a, K. Ogata a, M. Toratani a a School of High-technology for Human Welfare, Tokai University, Numazu, 410-0395
Sentinel-3 OLCI/SLSTR - Validation of the Radiometric Calibration for Optical Sensors
Sentinel-3 OLCI/SLSTR - Validation of the Radiometric Calibration for Optical Sensors Bertrand Fougnie Centre national d Etudes Spatiales, 31404 Toulouse, France (@cnes.fr) Jens Nieke, Marc Bouvet European
Using Ground Targets for Sensor On orbit Calibration Support
EOS Using Ground Targets for Sensor On orbit Calibration Support X. Xiong, A. Angal, A. Wu, and T. Choi MODIS Characterization Support Team (MCST), NASA/GSFC G. Chander SGT/USGS EROS CEOS Libya 4 Workshop,
3/31/03. ESM 266: Introduction 1. Observations from space. Remote Sensing: The Major Source for Large-Scale Environmental Information
Remote Sensing: The Major Source for Large-Scale Environmental Information Jeff Dozier Observations from space Sun-synchronous polar orbits Global coverage, fixed crossing, repeat sampling Typical altitude
Coral Reef Remote Sensing
Coral Reef Remote Sensing Spectral, Spatial, Temporal Scaling Phillip Dustan Sensor Spatial Resolutio n Number of Bands Useful Bands coverage cycle Operation Landsat 80m 2 2 18 1972-97 Thematic 30m 7
CNES PRIORITIES IN POLAR AND CRYOSPHERE RESEARCH
Polar Space Task Group 3rd Session CNES PRIORITIES IN POLAR AND CRYOSPHERE RESEARCH Juliette Lambin, Steven Hosford Wednesday, May 22th, 2013 Paris, France 1 OUTLINE CNES MISSIONS FOR POLAR/CRYOSPHERE
Feedback on Level-1 data from CCI projects
Feedback on Level-1 data from CCI projects R. Hollmann, Cloud_cci Background Following this years CMUG meeting & Science Leader discussion on Level 1 CCI projects ingest a lot of level 1 satellite data
Sources of Geographic Information
Sources of Geographic Information Data properties: Spatial data, i.e. data that are associated with geographic locations Data format: digital (analog data for traditional paper maps) Data Inputs: sampled
XSAT Ground Segment at CRISP
XSAT Ground Segment at CRISP LIEW Soo Chin Head of Research, CRISP http://www.crisp.nus.edu.sg 5 th JPTM for Sentinel Asia Step-2, 14-16 Nov 2012, Daejeon, Korea Centre for Remote Imaging, Sensing and
Sea to Sky: The NASA Plankton, Aerosol, Cloud, ocean Ecosystem (PACE) mission
Sea to Sky: The NASA Plankton, Aerosol, Cloud, ocean Ecosystem (PACE) mission Jeremy Werdell PACE Project Scientist NASA Goddard Space Flight Center Robert H. Goddard Memorial Symposium 9 March 2017, Greenbelt,
Geostationary satellites
Polar satellites 800 km. 99 relative to the Equator S-N during ascending leg & N-S during descending leg Each orbit 100 minutes 14 orbits a day. Sun-Synchronous provides consistent lighting of Earth-scan
R a d i o m e t r i c C a l i b r a t i o n N e t w o r k o f A u t o m a t e d I n s t r u m e n t s
RadCalNet R a d i o m e t r i c C a l i b r a t i o n N e t w o r k o f A u t o m a t e d I n s t r u m e n t s Jeffrey Czapla-Myers* on behalf of the RadCalNet Working Group *Remote Sensing Group, College
9/12/2011. Training Course Remote Sensing Basic Theory & Image Processing Methods September 2011
Training Course Remote Sensing Basic Theory & Image Processing Methods 19 23 September 2011 Remote Sensing Platforms Michiel Damen (September 2011) damen@itc.nl 1 Overview Platforms & missions aerial surveys
China. France Oceanography S A T. Overview of the near-real time wave products of the CFOSAT mission. e l l i t e
China Overview of the near-real time wave products of the CFOSAT mission C. Tison (1), D. Hauser (2), S. Guibert (1), T. Amiot (1), L. Aouf (3), J.M. Lefèvre (3), B. Chapron (5), N. Corcoral (1), P. Castillan
Variance and Anomaly Analysis with WIM/WAM Mati Kahru
Variance and Anomaly Analysis with WIM/WAM Mati Kahru 2008 1 Variance and Anomaly Analysis with WIM/WAM 1 Introduction Analysis of temporal variance of image data provides important clues on the functioning
ERS/ENVISAT ASAR Data Products and Services
ERS/ENVISAT ASAR Data Products and Services Andrea Celentano Business Manager celentan@eurimage.com What is Eurimage? Founded in 1989 Current shareholders: Since 1989 Commercial Partner of the European
NASDA S PRECISE ORBIT DETERMINATION SYSTEM
NASDA S PRECISE ORBIT DETERMINATION SYSTEM Maki Maeda Takashi Uchimura, Akinobu Suzuki, Mikio Sawabe National Space Development Agency of Japan (NASDA) Sengen 2-1-1, Tsukuba, Ibaraki, 305-8505, JAPAN E-mail:
CHAPTER --'3 DATA DESCRIPTION
CHAPTER --'3 DATA DESCRIPTION 37 3.1 INTRODUCTION In chapter 2 different techniques used for the study of polar cryosphere like passive and active remote sensing, altimetry and scatterometry are described.
The Automated Satellite Data Processing System
The Automated Satellite Data Processing System MERIS Processing Naval Research Laboratory, Stennis Space Center, MS Paul Martinolich The Automated Satellite Data Processing System: MERIS Processing by
ESA's activities in space-borne Imaging Spectroscopy for Earth Observation CHII, June 2016, Graz, Austria
ESA's activities in space-borne Imaging Spectroscopy for Earth Observation CHII, 15-16 June 2016, Graz, Austria Michael Rast, ESA Observation Principle of Imaging Spectrometer The telescope images the
Remote Sensing Platforms
Types of Platforms Lighter-than-air Remote Sensing Platforms Free floating balloons Restricted by atmospheric conditions Used to acquire meteorological/atmospheric data Blimps/dirigibles Major role - news
Sentinel-3 OLCI and SLSTR
Sentinel-3 OLCI and SLSTR Craig Donlon ESA/ESTEC, Mission Science Division B. Berruti, J. Frerick, C. Mavrocordatos, J. Nieke, H. Rebhan, J. Stroede and the S3 Team, European Space Agency, ESTEC, Keplerlaan
Pléiades imagery for coastal and inland water applications
Pléiades imagery for coastal and inland water applications Pléiades 2014-09-08 Quinten Vanhellemont & PONDER project 2017-10-20 dredging ship PONDER SR/00/325 «Ocean colour remote sensing» Remote sensing
Big picture with KOMPSAT KOMPSAT-3A / KOMPSAT-3 / KOMPSAT-5 / KOMPSAT-2
Big picture with KOMPSAT KOMPSAT-3A / KOMPSAT-3 / KOMPSAT-5 / KOMPSAT-2 Big picture with KOMPSAT Introduction SI Imaging Services (SIIS) is the exclusive worldwide marketing and sales representative of
SEA SURFACE TEMPERATURE RETRIEVAL USING TRMM MICROWAVE IMAGER DATA IN SOUTH CHINA SEA
SEA SURFACE TEMPERATURE RETRIEVAL USING TRMM MICROWAVE IMAGER DATA IN SOUTH CHINA SEA Mohd Ibrahim Seeni Mohd and Mohd Nadzri Md. Reba Faculty of Geoinformation Science and Engineering Universiti Teknologi
Introduction of GLI level-1 products
Introduction of GLI level-1 products JAXA EORC December 24, 2003 http://www.eoc.jaxa.jp/homepage.html 1. JAXA Global Imager The JAXA Global Imager (GLI) orbit and observation method are outlined below.
Upcoming European Missions
Upcoming European Missions Carsten Brockmann Brockmann Consult GmbH With contributions from Criag Donlon, Peter Regner, Bianca Hoersch, Ferran Gascon (all ESA) Charly Kaufmann (GFZ Potsdam), Godela Rossner
The Development of Imaging Spectrometry of the Coastal Ocean
SU_8/2/2006_Davis.1 The Development of Imaging Spectrometry of the Coastal Ocean Curtiss O. Davis College of Oceanic and Atmospheric Sciences, Oregon State University, Corvallis, OR 97331 cdavis@coas.oregonstate.edu
S3 Product Notice SLSTR
S3 Product Notice SLSTR Mission Sensor Product S3-A SLSTR Level 2 Land Surface Temperature Product Notice ID S3A.PN-SLSTR-L2L.02 Issue/Rev Date 05/07/2017 Version 1.0 Preparation Approval This Product
NOAA Satellite and Information Service National Environmental Satellite, Data, and Information Service (NESDIS)
NOAA Satellite and Information Service National Environmental Satellite, Data, and Information Service (NESDIS) Status of Current and Future Systems (NOAA-WP-33) Presentation to CGMS-40 November 2012;
SSC space expertise on the ground
SSC space expertise on the ground FMV Sensor Symposium Stockholm, September 2016 Björn Ohlson and Petrus Hyvönen Satellite Services for Surveillance & Reconnaissance Navigation Communication and Space
Legacy of NOAA, NASA and NIST Cooperation in Developing Radiometric Calibration Standards Equipment and Methodologies. Raju Datla, Michael Weinreb
Legacy of NOAA, NASA and NIST Cooperation in Developing Radiometric Calibration Standards Equipment and Methodologies CALCON 2012 Conference August 28, 2012 Raju Datla, Michael Weinreb Riverside Technology,
NON-PHOTOGRAPHIC SYSTEMS: Multispectral Scanners Medium and coarse resolution sensor comparisons: Landsat, SPOT, AVHRR and MODIS
NON-PHOTOGRAPHIC SYSTEMS: Multispectral Scanners Medium and coarse resolution sensor comparisons: Landsat, SPOT, AVHRR and MODIS CLASSIFICATION OF NONPHOTOGRAPHIC REMOTE SENSORS PASSIVE ACTIVE DIGITAL
Remote Sensing Platforms
Remote Sensing Platforms Remote Sensing Platforms - Introduction Allow observer and/or sensor to be above the target/phenomena of interest Two primary categories Aircraft Spacecraft Each type offers different
International Charter Space and Major Disasters
International Charter Space and Major Disasters Sentinel Asia Joint Project Team Meeting July 7, 2010 Brenda Jones U.S. Geological Survey Charter Executive Secretariat Purpose An International agreement
The Moderate Resolution Imaging Spectroradiometer (MODIS): Potential Applications for Climate Change and Modeling Studies
The Moderate Resolution Imaging Spectroradiometer (MODIS): Potential Applications for Climate Change and Modeling Studies Menas Kafatos, CEOSR, George Mason University Jim McManus, CEOSR, GMU and GES DISC
Fire Observations from New Instruments
Fire Observations from New Instruments Louis Giglio (University of Maryland) and many others GOFC Gold Land Monitoring Symposium 15 19 April 2013, Wageningen, Netherlands Major Future Polar Orbiting Satellite
NRL SSC HICO Article for Oceans 09 Conference
NRL SSC HICO Article for Oceans 09 Conference Title: The Hyperspectral Imager for the Coastal Ocean (HICO): Sensor and Data Processing Overview Abstract M.D. Lewis, R.W. Gould, Jr., R.A. Arnone, P.E. Lyon,
Multispectral Scanners for Wildland Fire Assessment NASA Ames Research Center Earth Science Division. Bruce Coffland U.C.
Multispectral Scanners for Wildland Fire Assessment NASA Earth Science Division Bruce Coffland U.C. Santa Cruz Slide Fire Burn Area (MASTER/B200) R 2.2um G 0.87um B 0.65um Airborne Science & Technology
Suomi NPP VIIRS Calibration/ Validation Progress Update
Suomi NPP VIIRS Calibration/ Validation Progress Update C. Cao 1, Q. Liu 2, S. Blonski 2, X. Shao 2, and S. Uprety 3 1 NOAA/NESDIS Center for Satellite Applications and Research 2 ESSIC, University of
Fire Observations from New Instruments
Fire Observations from New Instruments Louis Giglio (University of Maryland) and many others GOFC-Gold Land Monitoring Symposium 15-19 April 2013, Wageningen, Netherlands Major Future Polar Orbiting Satellite
ROSCOSMOS Agency Report. 36 th CEOS WGCV Plenary May 2013, Shanghai, China
ROSCOSMOS Agency Report 36 th CEOS WGCV Plenary 13-17 May 2013, Shanghai, China Denisov Pavel «Research Center for Earth Operative Monitoring» Joint-Stock Company «Russian Space Systems» 1 PURPOSE AND
Global hot spot monitoring with Landsat 8 and Sentinel-2. Soushi Kato Atsushi Oda Ryosuke Nakamura (AIST)
Global hot spot monitoring with Landsat 8 and Sentinel-2 Soushi Kato Atsushi Oda Ryosuke Nakamura (AIST) Motivation for Detecting Hot Spots Hotspot detection using satellite data To monitor wildfire and
National Aeronautics and Space Administration Jet Propulsion Laboratory California Institute of Technology
QuikSCAT Mission Status QuikSCAT Follow-on Mission 2 QuikSCAT instrument and spacecraft are healthy, but aging June 19, 2009 will be the 10 year launch anniversary We ve had two significant anomalies during
CCDs for Earth Observation James Endicott 1 st September th UK China Workshop on Space Science and Technology, Milton Keynes, UK
CCDs for Earth Observation James Endicott 1 st September 2011 7 th UK China Workshop on Space Science and Technology, Milton Keynes, UK Introduction What is this talk all about? e2v sensors in spectrometers
Observing Nightlights from Space with TEMPO James L. Carr 1,Xiong Liu 2, Brian D. Baker 3 and Kelly Chance 2
Observing Nightlights from Space with TEMPO James L. Carr 1,Xiong Liu 2, Brian D. Baker 3 and Kelly Chance 2 September 27, 2016 1 Carr Astronautics Corp., Greenbelt, MD, USA jcarr@carrastro.com 2 Harvard-Smithsonian
CNES Position Regarding the Use of the X- X and Ka- Bands for EESS
Orlando March 25-27, 2003 CNES Position Regarding the Use of the X- X and Ka- Bands for EESS Frédéric Cornet Centre National d'etudes Spatiales (Frederic.Cornet@cnes.fr) Data Rates Requirements Future
The Hyperspectral Imager for the Coastal Ocean (HICO): Sensor and Data Processing Overview
The Hyperspectral Imager for the Coastal Ocean (HICO): Sensor and Data Processing Overview Curtiss O. Davis Oregon State University, Corvallis, OR, USA Michael Corson and Robert Lucke Naval Research Laboratory,
Coastal Waters Imaging and Proposed Next Steps
SU_2/20/2006_Davis.1 Coastal Waters Imaging and Proposed Next Steps Curtiss O. Davis College of Oceanic and Atmospheric Sciences Oregon State University, Corvallis, Oregon 97331 541-737-4432 cdavis@coas.oregonstate.edu