Remote Sensing of Water Cryosphere and MRR Update Spectral Properties of Water Measuring Chlorophyll Content Sea Surface Temperature ENSO Discussion For.

Slides:



Advertisements
Similar presentations
Electro-magnetic radiation
Advertisements

Unit 10: Circulation of the World Ocean
REMOTE SENSING Presented by: Anniken Lydon. What is Remote Sensing? Remote sensing refers to different methods used for the collection of information.
2 Remote sensing applications in Oceanography: How much we can see using ocean color? Adapted from lectures by: Martin A Montes Rutgers University Institute.
Collecting and Mapping Planetary Data. Direct measurements (in situ) Collecting data directly at the site of scientific interest Ground stations on Earth.
Lecture 20: Introduction to Remote Sensing Principles By Weiqi Zhou University of Vermont Using GIS-- Introduction to GIS Thanks are due to Austin.
Energy interactions in the atmosphere
Remote Sensing of the Land Surface May 2, 1996 North of Denver, CO August 16, 1995 Central Brazil.
El Nino Southern Oscillation (ENSO)
Remote Sensing Applications. Signatures – a unique identifier…
Chapter 7 Ocean Circulation: El Niño
Joaquin Martinez, Isabella Ortega, Johana Baldeon Emilia Alvarez.
Lesson 11: El Niño Southern Oscillation (ENSO) Physical Oceanography
Impact of enso in the retreat of Ecuadorian glaciers
Abbie Harris - NOAA Ocean Acidification Think Tank #5 Current and Future Research at the Institute for Marine Remote Sensing Abbie Rae Harris Institute.
SIO 210: ENSO conclusion Dec. 2, 2004 Interannual variability (end of this lecture + next) –Tropical Pacific: El Nino/Southern Oscillation –Southern Ocean.
1. What is light and how do we describe it? 2. What are the physical units that we use to describe light? 1. Be able to convert between them and use.
The use of MOD09 product and in situ data in a reservoir Valério, A.M.; Kampel, M.; Stech, J.L. alineval, milton, stech COSPAR Training.
ABSTRACT In situ and modeled water-column primary production (PPeu) were determined from seasonally IMECOCAL surveys and satellite data off Baja.
Differences b etween Red and Green NDVI, What do they predict and what they don’t predict Shambel Maru.
Remote Sensing Energy Interactions with Earth Systems.
Radiometric and Geometric Correction
Digital Numbers The Remote Sensing world calls cell values are also called a digital number or DN. In most of the imagery we work with the DN represents.
Spectral Characteristics
The role of remote sensing in Climate Change Mitigation and Adaptation.
Remote Sensing & Satellite Research Group
What are the four principal windows (by wavelength interval) open to effective remote sensing from above the atmosphere ? 1) Visible-Near IR ( );
Ocean Circulation: El Niño
Water Year Outlook. Long Range Weather Forecast Use a combination of long term predictors –Phase of Pacific Decadal Oscillation (PDO) –Phase of Atlantic.
1 Applications of Remote Sensing: SeaWiFS and MODIS Ocean Color Outline  Physical principles behind the remote sensing of ocean color parameters  Satellite.
Electromagnetic Radiation Most remotely sensed data is derived from Electromagnetic Radiation (EMR). This includes: Visible light Infrared light (heat)
Estimating Water Optical Properties, Water Depth and Bottom Albedo Using High Resolution Satellite Imagery for Coastal Habitat Mapping S. C. Liew #, P.
Satellite-derived Sea Surface Temperatures Corey Farley Remote Sensing May 8, 2002.
Chapter 3: Bodies of water influence climate and species distribution.
Remote Sensing Introduction to light and color. What is remote sensing? Introduction to satellite imagery. 5 resolutions of satellite imagery. Satellite.
What is an image? What is an image and which image bands are “best” for visual interpretation?
TRIVIA (?) Why are plants green in spring/summer and brown in autumn?
Environmental Monitoring of The Great Lakes Using CoastWatch Data and Java GIS RDX06 – Remote Sensing Across The Great Lakes: Observations, Monitoring,
Spectral response at various targets
Image Interpretation Color Composites Terra, July 6, 2002 Engel-Cox, J. et al Atmospheric Environment.
Current Weather ENSO Terminology Neutral, Warm-Phase, and Cold-Phase ENSO Impacts For Next Class: Read Moran Ch. 8 (pp ) El Niño-Southern Oscillation.
RSSJ.
Satellite Oceanography Modified from a Presentation at STAO 2003 By Dr. Michael J. Passow.
El Niňo. El Nińo: A significant increase in sea surface temperature over the eastern and central equatorial Pacific that occurs at irregular intervals,
Ocean Circulation: El Niño El Niño-Southern Oscillation (ENSO) El Niño (Spanish for “the Child” in reference to baby Jesus) = warm surface current in.
Anomalous Behavior Unit 3 Climate of Change InTeGrate Module Cynthia M. Fadem Earlham College Russian River Valley, CA, USA.
SeaWiFS Highlights May 2002 SeaWiFS Views Highly Productive Waters in the Atlantic Ocean On May 11, 2002 SeaWiFS viewed the highly productive waters off.
Interactions of EMR with the Earth’s Surface
Fundamentals of Remote Sensing Gathering information without physical contact.
Assessment on Phytoplankton Quantity in Coastal Area by Using Remote Sensing Data RI Songgun Marine Environment Monitoring and Forecasting Division State.
Remote sensing/digital image processing. Color Arithmetic red+green=yellow green+blue=cyan red+blue=magenta.
The Study of Light. The Electromagnetic Spectrum  includes gamma rays, X-rays, ultraviolet light, visible light, infrared radiation, microwaves, and.
Orbits and Sensors Multispectral Sensors. Satellite Orbits Orbital parameters can be tuned to produce particular, useful orbits Geostationary Sun synchronous.
The Study of Light.
Electromagnetic Radiation
Electromagnetic Radiation (EMR)
Week Fourteen Remote sensing of vegetation Remote sensing of water
Radiometric Preprocessing: Atmospheric Correction
El Niño and La Niña.
Remote Sensing of Vegetation
Sea Surface Temperature
Beam Attenuation: Data Source
El Nino and La Nina.
EL NINO Figure (a) Average sea surface temperature departures from normal as measured by satellite. During El Niño conditions upwelling is greatly.
Satellite Sensors – Historical Perspectives
Introduction and Basic Concepts
Remote Sensing of Water
Santa Monica Bay sea surface temp March , 2002
REMOTE SENSING.
Presentation transcript:

Remote Sensing of Water Cryosphere and MRR Update Spectral Properties of Water Measuring Chlorophyll Content Sea Surface Temperature ENSO Discussion For Next Class: Read Chapter 12 (pp )

Cryosphere Update

Absorption and Scattering Attenuation in Pure Water Scattering in the water column is important in the violet, dark blue, and light blue portions of the spectrum ( nm). This is the reason water appears blue to our eyes. The graph truncates the absorption data in the ultraviolet and in the yellow through near- infrared regions because the attenuation is so great. Jensen, 2000

Water Penetration SPOT Band 1 ( mm) green SPOT Band 2 ( mm) red SPOT Band 3 ( mm) NIR Palancar Reef Caribbean Sea Cozumel Island Jensen, 2000

Percent reflectance of algae-laden water with various concentrations of suspended sediment ranging from mg/l Percent reflectance of algae-laden water with various concentrations of suspended sediment ranging from mg/l Percent reflectance of clear and algae-laden water based on in situ spectroradiometer measurement. Note the strong chlorophyll a absorption of blue light between 400 and 500 nm and strong chlorophyll a absorption of red light at approximately 675 nm Han, 1997; Jensen, 2000 Han, 1997; Jensen, 2000 Percent Reflectance

Global Chlorophyll a (g/m 3 ) Derived from SeaWiFS Imagery Obtained from September 3, 1997 through December 31, 1997 Global Chlorophyll a (g/m 3 ) Derived from SeaWiFS Imagery Obtained from September 3, 1997 through December 31, 1997 Jensen, 2000

True-color SeaWiFS image of the Eastern U.S. on September 30, 1997 Chlorophyll a distribution on September 30, 1997 derived from SeaWiFS data Chlorophyll a distribution on September 30, 1997 derived from SeaWiFS data Jensen, 2000

Sea-surface Temperature (SST) Maps Derived from A Three-day Composite of NOAA AVHRR Infrared Data Centered on March 4, 1999 Adjusted to highlight nearshore temperature differences Adjusted to highlight Gulf Stream temperature differences Jensen, 2000

Composite Sea-surface Temperature (SST) Map of the Southeastern Bight Derived from AVHRR Data Jensen, 2000

Worldwide Sea-surface Temperature (SST) Map Derived From NOAA-14 AVHRR Data Worldwide Sea-surface Temperature (SST) Map Derived From NOAA-14 AVHRR Data Three-day composite of thermal infrared data centered on March 4, Each pixel was allocated the highest surface temperature that occurred during the three days. Three-day composite of thermal infrared data centered on March 4, Each pixel was allocated the highest surface temperature that occurred during the three days. Jensen, 2000

Reynolds Monthly Sea-surface Temperature (˚C) Maps Derived from In situ Buoy and Remotely Sensed Data Reynolds Monthly Sea-surface Temperature (˚C) Maps Derived from In situ Buoy and Remotely Sensed Data Normal December, 1990 Normal La Nia La Niña December, 1988 La Nia La Niña December, 1988 El Nio El Niño December, 1997 December, 1997 El Nio El Niño December, 1997 December, 1997 Jensen, 2000

ENSO Animations /enso.shtmlhttp:// /enso.shtml

El Niño (Warm Phase ENSO)

1997 from Anton Seimon in Peru

ENSO Links nitoring/enso_update/sstanim.shtml nitoring/enso_update/sstanim.shtml nitoring/enso_update/sstanim.shtml nitoring/enso_update/sstanim.shtml nitoring/enso_advisory/ensodisc.html nitoring/enso_advisory/ensodisc.html nitoring/enso_advisory/ensodisc.html nitoring/enso_advisory/ensodisc.html 5_winteroutlook.html 5_winteroutlook.html 5_winteroutlook.html 5_winteroutlook.html

El Niño El Niño La Niña