Breakout session: Active Remote Sensing for Ocean Colour

Similar documents
Exploring Techniques for Improving Retrievals of Bio-optical Properties of Coastal Waters

Evaluation of Satellite Ocean Color Data Using SIMBADA Radiometers

In situ Validation of the Source of Thin Layers Detected by NOAA Airborne Fish Lidar

CLASSIFICATION OF NONPHOTOGRAPHIC REMOTE SENSORS

LIDAR an Introduction and Overview

REMOTE SENSING OF VERTICAL IOP STRUCTURE

Improved Global Ocean Color using POLYMER Algorithm

REMOTE SENSING OF BENTHIC HABITATS IN SOUTHWESTERN PUERTO RICO

2017 Summer Course on Optical Oceanography and Ocean Color Remote Sensing. Introduction to Remote Sensing

The NIR- and SWIR-based On-orbit Vicarious Calibrations for VIIRS

Lecture 5. Multiple scattering as a source of radiation. Reflectance from surfaces. Remote sensing of ocean color.

Atmospheric correction of hyperspectral ocean color sensors: application to HICO

Shallow-water Remote Sensing: Lecture 1: Overview

New Algorithm for MODIS chlorophyll Fluorescence Height Retrieval: performance and comparison with the current product

OIL SPILL MAPPING WITH SENTINEL-1 AUGUST 2017, KUWAIT

Continued Development of the Look-up-table (LUT) Methodology For Interpretation of Remotely Sensed Ocean Color Data

Remote sensing In situ T, S and tracers Velocity Observing systems. Course url: Talley SIO 210 (2013)

Flood detection using radar data Basic principles

2017 Summer Course on Optical Oceanography and Ocean Color Remote Sensing. Apparent Optical Properties and the BRDF

The Use of MERIS for Harmful Algal Bloom Monitoring in the Southern Benguela

OCEANSAT-2 OCEAN COLOUR MONITOR (OCM-2)

Near Real-Time Maritime Object Recognition using Multiple SAR Satellite Sensors

Equipment in Support for Polarimetric Imaging

2017 Summer Course Optical Oceanography and Ocean Color Remote Sensing. Overview of HydroLight and EcoLight

Menghua Wang NOAA/NESDIS/STAR Camp Springs, MD 20746, USA

Retrieval of optical and microphysical properties of ocean constituents using polarimetric remote sensing

K d (490) models characterisation Issue 1 revision 0 Gilbert Barrot, ACRI-ST 05/jul/2006

Analysis of Hyperspectral Data for Coastal Bathymetry and Water Quality

VALIDATION OF MERIS REMOTE SENSING REFLECTANCE IN ATLANTIC CASE 1 WATERS WITH GROUND BASED IN-SITU MEASUREMENTS

Uncertainties in the Products of Ocean-Colour Remote Sensing

Direct Remote Measurement of Mixed Layer Using Lidar

Applications of passive remote sensing using emission: Remote sensing of sea surface temperature (SST)

VALIDATION OF A NEW 30 METER GROUND SAMPLED GLOBAL DEM USING ICESAT LIDARA ELEVATION REFERENCE DATA

Quantifying the Dynamic Ocean Surface Using Underwater Radiometric Measurement

Using LiDAR for Classification and

Ocean Products and Atmospheric Removal in APS

Development of datasets and algorithms for hyperspectral IOP products from the PACE ocean color measurements

OCEAN COLOUR REMOTE SENSING OF EXTREME CASE-2 WATERS

SEA SURFACE SPEED FROM TERRASAR-X ATI DATA

The influence of coherent waves on the remotely sensed reflectance

Lecture 13.1: Airborne Lidar Systems

CHLOROPHYLL CONCENTRATION ESTIMATED FROM IRRADIANCE MEASUREMENTS AT FLUCTUATING DEPTHS

Introduction to Remote Sensing

Earth Science Data Delivery

Uncertainties in ocean colour remote sensing

Testing Hyperspectral Remote Sensing Monitoring Techniques for Geological CO 2 Storage at Natural Seeps

Defining Remote Sensing

Projet PNTS SPACTO. SPatial Atmospheric Correction over Turbid Ocean. Julien Brajard

Dennis L. Hlavka* and Stephen P. Palm Science Systems and Applications, Inc NASA/Goddard Space Flight Center, Greenbelt, Maryland

Ocean color algorithms in optically shallow waters: Limitations and improvements

MERIS Product Handbook

Inversion of R rs to IOPs: where we are & where we (might) want to go

Estimating oceanic primary production using. vertical irradiance and chlorophyll profiles. from ocean gliders in the North Atlantic

Equipment in Support for Polarimetric Imaging

Calibration Techniques for NASA s Remote Sensing Ocean Color Sensors

Theoretical derivation of the depth average of remotely sensed optical parameters

TOTAL SUSPENDED MATTER MAPS FROM CHRIS IMAGERY OF A SMALL INLAND WATER BODY IN OOSTENDE (BELGIUM)

Analysis of the In-Water and Sky Radiance Distribution Data Acquired During the Radyo Project

IOCCG Calibration Workshop 30 October 2004, Fremantle, Australia. In-Flight Calibration of Satellite Ocean-Color Sensors

Empirical transfer function determination by. BP 100, Universit de PARIS 6

Analysis of the In-Water and Sky Radiance Distribution Data Acquired During the Radyo Project

Project RECOLOUR (REconstruction of COLOUR scenes) - SR/00/111 RESEARCH PROGRAMME FOR EARTH OBSERVATION STEREO II - BELGIAN SCIENCE POLICY

Defense Technical Information Center Compilation Part Notice

Ocean Colour Vicarious Calibration Community requirements for future infrastructures

SENSITIVITY ANALYSIS OF SEMI-ANALYTICAL MODELS OF DIFFUSE ATTENTUATION OF DOWNWELLING IRRADIANCE IN LAKE BALATON

Development and Applications of an Interferometric Ground-Based SAR System

BETTER LINKAGES BETWEEN NUMERICAL MODEL OUTPUT AND OPTICAL/OCEAN COLOUR PRODUCTS AND CLIMATE CHANGE

Lecture 24. Lidar Simulation

WORCESTER POLYTECHNIC INSTITUTE

Supplement of Sea-surface dimethylsulfide (DMS) concentration from satellite data at global and regional scales

Hyperspectral Imaging Lidar: Forest canopy heights and gaps for modelling the global carbon cycle

Uncertainties in ocean colour remote sensing

Better detection and discrimination of seagrasses using fused bathymetric lidar and hyperspectral data

A Multiscale Nested Modeling Framework to Simulate the Interaction of Surface Gravity Waves with Nonlinear Internal Gravity Waves

Images Reconstruction using an iterative SOM based algorithm.

Infrared Scene Simulation for Chemical Standoff Detection System Evaluation

OCEAN SATELLITE DATA NEEDS FOR NWP

MERIS Case 1 Validation ->

Retrieval of Sea Surface Temperature from TRMM VIRS

Center for Advanced Imaging LADAR. A 3D Texel Camera

Field Verification of Oil Spill Fate & Transport Modeling and Linking CODAR Observation System Data with SIMAP Predictions

Satellite Oceanography: Ocean colour. Peter J Minnett Rosenstiel School of Marine and Atmospheric Science, University of Miami, USA

Inverse Problems in Optical Remote Sensing of Coastal Waters

WHAT IS REMOTE SENSING?

Polarized Downwelling Radiance Distribution Camera System

Verification of MSI Low Radiance Calibration Over Coastal Waters, Using AERONET-OC Network

Polarized Downwelling Radiance Distribution Camera System

Hyperspectral remote sensing for shallow waters: 2. Deriving bottom depths and water properties by optimization

Use of the Polarized Radiance Distribution Camera System in the RADYO Program

Use of the Polarized Radiance Distribution Camera System in the RADYO Program

OCEAN COLOUR PRODUCTION CENTRE Ocean Colour Mediterranean and Black Sea Observation Product

Lidar for Lateral Mixing (LATMIX)

LIDAR and Terrain Models: In 3D!

MERIS US Workshop. Vicarious Calibration Methods and Results. Steven Delwart

A Combination Method of Differential Evolution Algorithm and Neural Network for Automatic Identification Oil Spill at Vietnam East Sea

Sentinel-2 Calibration and Validation : from the Instrument to Level 2 Products

Aerosol Remote Sensing from PARASOL and the A-Train

Remote Sensing of Snow

Wave-ice interactions in wave models like WW3

9/14/2011. Contents. Lecture 3: Spatial Data Acquisition in GIS. Dr. Bo Wu Learning Outcomes. Data Input Stream in GIS

Transcription:

Breakout session: Active Remote Sensing for Ocean Colour Jamet, C. Laboratoire d Océanologie et de Géosciences, Wimereux, France Churnside, J. NOAA, Boulder, USA Hostetler, C. NASA, Langley, USA

Passive Observation of ocean color (1/2) Since CZCS Revolutionize our vision of the marine biomass + understanding of global plankton ecosystems Many advantages: Multi-spectral retrievals Good spatial resolution (300-1000 meters) High repetitive cycles (~ 3-4 days) Continuous time series since 1997

Passive Observation of ocean color (2/2) BUT: Signal limited to near surface layer No information on plankton vertical structure Limited in polar regions Cloud cover Absorbing aerosols Only daytime Active observations could be very useful and complementary

Purpose of the breakout session (1/2) To present the basics of active remote sensing with the main topic being on LIDAR To provide examples from airborne and satellite sensors To discuss potential avenues for further advances and potential new sensors

Purpose of the breakout session (2/2) Four key questions: 1. How to get a 3D observation of ocean colour? 2. What is the technology currently available? 3. How can active measurements be used to validate and improve passive ocean colour retrieval algorithms? 4. How to link active measurements to ocean colour parameters?

Schedule of the session 14:00-14:20: Introduction to the session and presentation of SAR technique (Cédric Jamet) 14:20-14:40: Airborne ocean profiling lidar (James Churnside) 14:40-15:00: Space-borne ocean lidar (Chris Hostetler) 15:00-16:00: Discussion 16:00-16:45: Write-up of the discussion and recommendations

SAR for ocean features SAR: Synthetic Aperture Radar Microwaves (including polarization) High spatial resolution (meters-tens of meters) Low repetitivity (12-35 days) Interactions microwaves/ocean dependent of roughness of ocean Analysis of the backscatter signal (Bragg scattering) Microwave response of water surfaces strongly influenced by wind affecting its surface roughness

http://www.unavco.org/instrumentation/geophysical/imaging/sar-satellites/sar-satellites.html

SAR for ocean features Applications: Oil spills Bathymetric features in shallow water Ships Phytoplankton Coastal winds Ocean waves Surface currents, fronts and eddies Natural films on surface

SAR for ocean features Applications: Oil spills Bathymetric features in shallow water Ships Phytoplankton Coastal winds Ocean waves Surface currents, fronts and eddies Natural films on surface

Use of ERS-2 SAR and SeaWiFS images Northeastern Taïwan 19 August 2000 AVHRR SST data Simultaneous in-situ measurements (SST, SSS, Chl-a) Lin et al., 2002

Correction of SST and wind effects on the normalized radar cross-section parameter (NRCS) Higher Chl-a concentrations == higher attenuation of NRCS Derived NRCS versus Chl-a relationship consistent with in-situ data in a limited range of parameters Detection of upwelling features: low NRCS, high Chl-a Direct evidence relationship between SAR NRCS and Chl-a Association between presence of ocean surface slicks and biological activity Lin et al., 2002

Synergistic use of MERIS and ASAR images to detect cyanobacteria and scum formation Step-wise decrease in the NRCS for chl-a>50 mg.m -3 and wind speeds [2-6] m.s -1 Feasibility of correlating normalized radar cross-section parameter corrected for wind speed with Chl-a concentrations SAR data can be used to flag areas affected by scums Use of microwave RS as additional tool to increase temporal coverage of OC sensors Bresciani et al., 2014

Slides for discussion part

Purpose of the breakout session (1/2) To present the basics of active remote sensing with the main being on LIDAR To provide examples from airborne and satellite sensors To discuss potential avenues for further advances and potential new sensors

Purpose of the breakout session (2/2) Four key questions: 1. How to get a 3D observation of ocean colour? 2. What is the technology currently available? 3. How can active measurements be used to validate and improve passive ocean colour retrieval algorithms? 4. How to link active measurements to ocean colour parameters?

Use of lidar for ocean color What is the instrumentation currently available? Is there an interest to develop in-situ lidar? What prevent us to use lidar for OC? Is one wavelength enough for science? How different are the physics and algorithms? What is the effort to make to use lidar? How easy is to use/process lidar? What budget for using/shifting to OC? What kind of help we need from space agencies?

MESCAL CNES/NASA space mission Is there interest for: 355 nm? High vertical resolution (less, 2, 5, 10 meters) Fluorescence à 685 nm Kd, bbp Other parameters