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Introduction to Satellite Remote Sensing SeaWiFS, June 27, 20 Miles Logsdon, Univ. of Washington Oceanography

Introduction to Satellite Remote Sensing

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Introduction to Satellite Remote Sensing. Miles Logsdon, Univ. of Washington Oceanography. SeaWiFS, June 27, 2001. My agenda. Show you pretty pictures Introduce Remote Sensing terms and concepts Get the language down “Think” about the future. Acknowlegements!!. - PowerPoint PPT Presentation

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  • Introduction to Satellite Remote SensingSeaWiFS, June 27, 2001Miles Logsdon, Univ. of WashingtonOceanography

  • My agendaShow you pretty picturesIntroduce Remote Sensing terms and conceptsGet the language downThink about the future

  • Acknowlegements!!Mark Abbott: Oregon State UniversityMODIS highlights, data, and imagesSeely Martin: University of WashingtonIllustrations, and explanationsRobin Weeks: University of WashingtonGraphics and dataLeon Delwiche: University of WashingtonIllustrationsMost of what you see here is explained better by these people

  • Lets start with some nice pictures

  • What is Remote Sensing and Image Classification?Remote Sensing is a technology for sampling radiation and force fields to acquire and interpret geospatial data to develop information about features, objects, and classes on Earth's land surface, oceans, and atmosphere (and, where applicable, on the exterior's of other bodies in the solar system).

    Remote Sensing is detecting and measuring of electromagnetic energy (usually photons) emanating from distant objects made of various materials, so that we can identify and categorize these object by class or type, substance, and spatial distribution

    Image Classification has the overall objective to automatically categorize all pixels in an image into classes or themes. The Spectral pattern, or signature of surface materials belonging to a class or theme determines an assignment to a class.

  • Specifically, we measure radiation produced in three ways:

    1. Emitted from the surface (thermal IR)

    2. Reflected from the surface (solar)

    3. Reflected from energy pulses directed at the surface (RADAR)

  • Landsat-ETM30m resolution16-day repeat

  • MODIS Terra - Daytime Descending OrbitsMODIS1k resolutionDaily repeatBest response in a Ph.d. oral exam:Ill give up space to get time. Miles Logsdon

  • One goal is to produce a: Classified Product

  • MOD13 NDVI (16-day) 500m resolutionJune 2002(bright photosynthesizing vegetation)LowHighA second goal might be to produce a: Derived Product

  • MOD11 Daytime (8-day averaged) Land Surface TemperatureJune 2002~3o C~50o CTemperature (oC)

  • AprMayJunJulAugSepRemote Sensing as a Time SeriesSeaWifs, 1999, 1km monthly mean chlorophyll-a estimatesCurrent CollectionsPacific Northeast, Apr Sep, 1999 - 2003

  • AdditiveSubtractive

  • First: A few Simple Reminders about Spectral SignaturesThanks to Robin Weeks

  • Coordinate system used with satellite sensorsqZ Zenith angleq Look or incidence angle qS Solar zenith angle

  • When radiation interacts with the atmosphere, then depending on the wavelength, the three things that happen are - Absorption, - Scattering, - Emission.

  • The Effect of the Atmosphere on Spectral DataPath Radiance (Lp)Atmospheric Transmissivity (T)Thanks to Robin Weeks

  • ScatteringThere are two kinds of scattering,

    Rayleigh or molecular scatter, which only matters in the visible; andMei or aerosol scatter (scatter from raindrops, sulfuric acid droplets, salt particles) which matter at much longer wavelengths.

  • Rayleigh Scatter

  • Solar scattering generates a Rayleigh path radiance

  • Two kinds of solar reflection in the visible: Direct surface reflection, diffuse sub-surface backscatter

  • Once the Light hits the surface we are concerned with reflection

  • The PIXEL

  • Wavelength (Bands)

  • Terrestrial and Ocean Color SensorsOcean ColorSensors

  • Comparison of Ocean Color InstrumentsInstrumentSatelliteDates of OperationSpatial ResolutionSwath WidthCZCSNimbus-710/24/78- 6/22/86825 m1556 kmMOSIRS P33/18/96-520 m200 kmMOSPriroda4/23/96-650 m85 kmOCTSADEOS8/17/96-700 m1400 kmSeaWiFSSeaStar5/971100 m2800 kmOCIROCSAT-14/98 (Delayed) 800 m690 kmMODISEOS AM-16/981000 m2330 kmGLIADEOS-22/99 (Delayed) 1000 m1600 kmMERISENVISAT-17/99 (Delayed) 1200 m1450 kmLow Resolution CameraKOMPSAT1999 (Delayed) 1000 m800

  • Band Combinations

  • We approach RS in two waysTo classify or group thematic land surface materialsTo detect a biophysical process

  • Cluster and Classify

  • Spectral Profile

  • Spatial Profile

  • Spectral Signatures

  • 1d classifier

  • Spectral Dimensions

  • 3 band space

  • Clusters

  • Dimensionality

    N = the number of bands = dimensions . an (n) dimensional data (feature) spaceMeasurementVectorMeanVectorBand ABand B190 85Feature Space - 2dimensions

  • Spectral Distance

    * a number that allows two measurement vectors to be compared

  • Classification ApproachesUnsupervised: self organizing

    Supervised: training

    Hybrid: self organization by categories

    Spectral Mixture Analysis: sub-pixel variations.

  • Clustering / ClassificationClustering or Training Stage: Through actions of either the analysts supervision or an unsupervised algorithm, a numeric description of the spectral attribute of each class is determined (a multi-spectral cluster mean signature).Classification Stage: By comparing the spectral signature to of a pixel (the measure signature) to the each cluster signature a pixel is assigned to a category or class.

  • termsParametric = based upon statistical parameters (mean & standard deviation)Non-Parametric = based upon objects (polygons) in feature spaceDecision Rules = rules for sorting pixels into classes

  • Unsupervised ClusteringMinimum Spectral DistanceBand ABand BBand ABand B1st iteration cluster mean2nd iteration cluster mean

  • ISODATA clusters

  • Supervised Classification

  • Classification Decision RulesIf the non-parametric test results in one unique class, the pixel will be assigned to that class.if the non-parametric test results in zero classes (outside the decision boundaries) the the unclassified rule applies either left unclassified or classified by the parametric ruleif the pixel falls into more than one class the overlap rule applies left unclassified, use the parametric rule, or processing orderNon-Parametricparallelepipedfeature spaceUnclassified Optionsparametric ruleunclassifiedOverlap Optionsparametric ruleby orderunclassifiedParametric minimum distanceMahalanobis distancemaximum likelihood

  • Band ABand BParallelepipedBand ABand BMinimum DistanceMaximum likelihood(bayesian)probabilityBayesian, a prior (weights)

  • Parametric classifiers

  • Classification SystemsUSGS - U.S. Geological Survey Land Cover Classification Scheme for Remote Sensor Data USFW - U.S. Fish & Wildlife Wetland Classification System NOAA CCAP - C-CAP Landcover Classification System, and Definitions NOAA CCAP - C-CAP Wetland Classification Scheme Definitions PRISM - PRISM General Landcover King Co. - King County General Landcover (specific use, by Chris Pyle)

    Level 1 Urban or Built-Up Land 11 Residential 12 Commercial and Services 13 Industrial 14 Transportation, Communications and Utilities 15 Industrial and Commercial Complexes 16 Mixed Urban or Built-Up 17 Other Urban or Built-up Land

    2 Agricultural Land 21 Cropland and Pasture 22 Orchards, Groves, Vineyards, Nurseries and Ornamental Horticultural Areas 23 Confined Feeding Operations 24 Other Agricultural Land

  • Detecting a Process: Two examplesUsing band math

  • Laboratory Spectral Signatures IICommon Urban MaterialsHealthy grassConcreteAstroturfwavelengthThanks to Robin Weeks

  • Vegetation:

    Pigment in Plant Leaves (Chlorophyll) strongly absorbs visible light (0.4 to 0.7 m)

    Cell Structure however strongly reflects Near-IR (0.7 1.1 m)

    Thanks to Robin Weeks

  • (courtesy http://earthobservatory.nasa.gov) NDVIBand 3Band 4Band 4 - Band 3Band 4 + Band 3Simple RatioNDVIWhen using LANDSAT:

  • Ocean ColorLets begin with phytoplanktonPhyton = plant; planktos = wandering.These reproduce asexually, are globally distributed, consist of 10s of thousands of species and make up about 25% of the total planetary veg.These are the grass that the zooplankton graze upon.And, they fix carbon as well.

  • Chaetoceros species of diatoms: cells are 20-25 mm in diameter.Chloroplasts contain pigments

  • Water provides an internal standard shape for spectral comparison with other variable componentsSlopes for pigments and CDOM similar from 440 to 600 nm, but are opposite from 400 to 440 nmNote that detritus is include with CDOM since shapes are similarSpectral de-convolution of pigment absorption from CDOM absorption is straight-forwardShapes of phytoplankton or pigment absorption are not constant (next slide) For Case 2 waters, ratio of CDOM to chlorophyll a is not constant Strategy for Spectral Separation of Absorption Components with Semi-Analytic AlgorithmKen Carder: University of South Florida

  • Absorption spectra for water, CDOM, and phytoplankton

  • Colored Dissolved Organic Material(CDOM)Organic SourcesTerrestrial CDOMdecay vegetation from river and nearshoreOcean CDOMdetritus - cell fragments, zooplankton fecalInorganic SourcesSand & Dust => Errosionrivers, wind, wave or current suspension

  • Whats the difference between MODIS chlorophylls?

    Case 1 waters:Chlor_MODIS (Clark) This is an empirical algorithm based on a statistical regression between chlorophyll and radiance ratios.

    Case 2 waters:Chlor_a_3 (Carder) This is a semi-analytic (model-based) inversion algorithm. This approach is required in optically complex case 2 (coastal) waters and low-light, nutrient-rich regions (hi-lats).

    A 3rd algorithm was added to provide a more direct linkage to the SeaWiFS chlorophyll:SeaWiFS-analog Chlor_a_2 (Campbell)SeaWiFS algorithmOC4.v4 (OReilly) Ken Carder: University of South Florida

  • Chl-a increasingFlorescenceIndependent of Chl-aR(l)

  • Case 1 Rrs Model with superimposed MODIS bands 8-14: All variables co-vary with chlorophyll aNote that slopes between blue and green wave lengths decrease with increasing chlorophyll, explaining the strategy of empirical algorithmsCase 2 waters are more complicated

    Ken Carder: University of South Florida

    Chart2

    0.013450.0132646219

    0.009980.0099010603

    0.007550.0075312804

    0.005810.0058245351

    0.004540.0045712489

    0.003590.0036349566

    0.002880.0029246257

    0.002330.0023782062

    0.001930.0019525762

    0.001620.0016172383

    0.001410.0013502788

    0.0011357213

    0.0009617628

    0.0008195765

    0.0007024867

    0.0006053915

    0.0005243544

    Chart1

    0.6870.34635

    0.7810.4478775

    0.8280.540895

    0.8830.6254025

    0.9130.7014

    0.9390.7688875

    0.9730.827865

    1.0010.8783325

    10.92029

    0.9537375

    0.978675

    absorption

    lama_w1a_w2P& F modchl-specific absorption coef.chl-specific absorption coef.0.010.020.050.10.20.5125

    (nm)(1/m)(1/m)

    380ND0.011370.011370.346350.346350.01298650980.0136067710.01499890420.01676455630.01953516150.02575359190.03364047030.0460163090.0737930176

    3850.00950.009410.009410.44787750.44787750.01122146740.01202114830.01381597660.01609236960.01966441330.02768161650.03784989090.05380562360.0896171551

    3900.00870.008510.008510.5408950.5408950.01054478760.01150784690.01366936650.01641083670.02071266450.03036781770.04261351520.06182907440.1049570594

    3950.00810.008130.008130.62540250.62540250.0103865850.01149719470.01398988080.01715137180.02211228290.03324670270.04736856430.06952814040.1192637666

    4000.0070.006630.006630.6870.70140.6870.0090003670.01021737830.01294887540.01641325210.02184944180.03405059130.04952539360.07380796110.1283084939

    4050.0060.00530.00530.7810.76888750.7810.00789826090.00927862770.01237676490.01630615380.0224720260.03631089680.05386283230.08140477130.1432207365

    4100.00560.004730.004730.8280.8278650.8280.00743966630.00889997480.01217753540.01633448830.02285744650.03749777220.05606619860.08520318260.1505991154

    4150.00520.004440.004440.8830.87833250.8830.00729666390.00885086340.01233915610.01676338170.0237057360.03928736690.05904965720.09006001450.1596606032

    4200.00540.004540.004540.9130.920290.9130.0074782970.00908230220.01268238030.01724838430.02441321250.04049417070.06088976120.09289387320.1647248749

    4250.00610.004780.004780.9390.95373750.9390.0077912990.00943810710.01313425330.0178221010.02517812270.04168820120.06262804810.09548618970.1692340018

    4300.00640.004950.004950.9730.9786750.9730.00805712060.00976077960.01358452370.01843420470.026044170.04312420730.06478693680.09877940290.1750731273

    4350.00690.00530.00531.0011.0010.00848838420.01023840470.01416620390.01914785880.02696491320.04450974770.06676198270.10167948210.1800493793

    4400.00830.006350.00635110.00954426590.01129005610.01520836060.02017797340.02797613170.04547855520.0676770.10251009360.1806905477

    4450.00950.007510.007510.9710.9710.01062441260.01231732780.0161169580.02093605520.02849802940.04547035410.06699647080.10077456860.1765871582

    4500.0110.009220.009220.9440.9440.01226839150.01391219590.01760160030.02228089750.02962350170.0461034660.06700511870.09980332720.1734166236

    4550.0120.009620.009620.9280.9280.01261180740.01422588360.01784856530.02244323760.02965305120.04583497590.0663586230.09856367730.1708456801

    4600.01220.009790.009790.9170.9170.01273719660.01433042020.01790629980.02244161260.02955828130.04553114870.06578964690.0975786380.1689268159

    4650.01250.010110.010110.9020.9020.01300314150.01456872610.01808257160.02253920620.02953241540.04522818690.06513524230.09637276060.1664831963

    4700.0130.01060.01060.870.870.01338987060.01489849450.01828449590.02257898490.02931776040.04444247310.06362525080.09372625550.1612858654

    4750.01430.01140.01140.8390.8390.01409356820.01554716080.01880964820.02294748360.02944044330.04401343940.06249647110.09149945660.156594639

    4800.01570.01270.01270.7980.7980.0152721860.01665361350.01975413140.02368653970.02985714970.04370665440.06127207690.08883517930.1506986443

    4850.01680.01360.01360.7730.7730.01609413160.01743125950.02043234990.02423865360.03021138440.04361676290.06061889710.08729810540.1471777316

    4900.01850.0150.0150.750.750.01742671750.01872313580.02163285640.02532327520.03111416290.04411140730.06059590240.08646284770.1445194061

    4950.02130.01730.01730.7170.7170.01963627610.0208748280.02365467150.02718036620.03271277430.04512987910.0608785790.0855909380.1410561077

    5000.02420.02040.02040.6680.6680.02260224040.02375543350.02634369510.02962640520.03477752950.04633886960.0610021970.08401142420.1356540331

    5050.030.02560.02560.6450.6450.02776130170.02887414460.03137184310.03453969140.03951057820.05066738760.06481764620.08702178180.1368574189

    5100.03820.03250.03250.6180.6180.03461630410.03568198720.03807383880.04110744070.04586767230.05655168090.07010228290.09136545660.13908917

    5150.04620.03960.03960.5820.5820.04163954540.04264264430.04489403020.04774947850.05223015710.06228672830.07504154720.09505600330.1399770571

    5200.04740.04090.04090.5280.5280.04276501910.04367461950.04571615420.04830544670.05236848230.06148768270.07305362770.09120254080.1319365131

    5250.04850.04170.04170.5040.5040.04347853220.04434640650.046294290.04876480420.05264145630.06134233230.07237771360.08969408280.1285594683

    5300.05050.04340.04340.4740.4740.04507967450.04589555590.04772674490.05004925470.05369366310.06187328420.07224755410.08852652860.1250635537

    5350.05270.04520.04520.4440.4440.04678131260.04754526450.04925990140.05143458720.05484703490.06250603640.07222000090.08746284510.1216743481

    5400.05510.04740.04740.4160.4160.04889090690.04960642710.05121236220.05324918080.05644529180.06361874050.07271687510.08699337860.1190359969

    5450.05940.05110.05110.3840.3840.05249502930.05315529030.05463720010.05651671650.0594659940.06608544190.07448093350.08765487190.1172228598

    5500.06540.05650.05650.3570.3570.05782039660.05843404310.05981132970.06155815190.06429920980.07045132330.07825409150.09049794720.117978429

    5550.0690.05960.05960.3210.3210.06080741160.06135901850.06259706160.06416728040.06663121760.07216135340.07917526270.09018126630.1148834752

    5600.07150.06190.06190.2940.2940.06301812070.06352319470.06465679820.06609455530.0683506380.07341425860.07983648370.08991403510.1125323977

    5650.07430.06420.06420.2730.2730.06524692360.06571580320.06676817070.06810289560.07019730360.07489805660.08086005410.09021543090.1112129231

    5700.08040.06950.06950.2760.2760.07055787140.07103179240.07209547530.07344455160.07556147930.08031277610.08633887870.09579484730.1170181106

    5750.0890.07720.07720.2680.2680.07824159890.07870168270.07973430860.08104399520.08309911380.08771168440.09356183960.1027417170.123345313

    5800.10160.08960.08960.2910.2910.09072995640.09122942320.09235044170.09377223720.09600327340.1010106790.10736160610.11732727890.1396945379

    5850.12350.110.110.2740.2740.11111505420.11158525320.11264058220.11397906320.1160793650.12079334630.12677212130.13615382490.1572104056

    5900.14870.13510.13510.2820.2820.1362809630.13676480470.13785075380.13922807050.14138931220.14624006860.15239231650.16204622830.1837137614

    5950.18180.16720.16720.2490.2490.16833229350.16875944490.16971815650.1709340970.17284211220.17712451950.18255592620.1910787170.2102075276

    6000.24170.22240.22240.2360.2360.22358471960.22398950750.22489802590.22605030610.22785842750.23191663010.23706367650.2451402580.2632675831

    6050.27950.25770.25770.2790.2790.25905224550.25953071850.26060461770.26196665150.26410391170.26890084350.27498482520.28453161570.3059587227

    6100.28760.26440.26440.2520.2520.26564860520.26608071650.26705056010.26828061940.27021078940.27454292150.28003739470.28865914730.308010071

    6150.29160.26780.26780.2680.2680.26906948840.26952897790.270560270.27186826490.2739207290.27852734170.28436994050.29353796060.3141149438

    6200.30470.27550.27550.2760.2760.27677463410.27724778450.27830973780.27965662040.28177010590.28651367680.29252998070.30197057330.3231593264

    6250.31350.28340.28340.2990.2990.28472569250.28523821650.28638854090.28784750530.29013686580.29527517620.30179213080.31201832860.3349703179

    6300.31840.29160.29160.3170.3170.29296252970.2935058530.29472530410.29627194250.29869887820.30414596650.31105454630.321895270.3462265198

    6350.33090.30120.30120.3330.3330.30259555930.30316625190.30444713160.30607168030.30862087040.31434235020.32159894260.33298575660.3585426681

    6400.33820.31080.31080.3340.3340.31218359610.31275595210.31404056520.31566984890.3182264690.32396462510.3312423680.34266237080.3682937723

    6450.35130.3250.3250.3260.3260.32634997690.32690857790.32816231880.32975244720.3322476260.33784788120.34495072360.35609627810.3811116992

    6500.35940.340.340.3560.3560.34143115480.3420411140.34341012510.34514645130.34787103910.35398618690.36174207120.37391235810.40122772

    6550.38520.3710.3710.3890.3890.37253666850.37320312130.37469892820.37659607050.37957300590.38625453020.39472875360.40802623550.4378715081

    6600.42120.410.410.4410.4410.41170422630.41245971760.41415536530.4163059670.41968062270.42725480270.43686118750.45193522110.4857678403

    6650.43110.4290.4290.5340.5340.43097485140.43188960720.4339427130.43654668120.44063274540.4498036320.46143513090.4796869090.5206517548

    6700.43460.4390.4390.5950.5950.44114147360.4421606650.44444816920.44734942650.45190198720.46211989290.47507933330.49541487510.5410565832

    6750.4390.4480.4480.5440.5440.44997088850.45090267030.45299398980.45564642470.45980854120.46915012210.48099811380.49958960550.5413169146

    6800.45240.4650.4650.5020.5020.46683366260.46769346210.46962322220.47207075040.47591133370.48453125570.49546396240.51261921810.5511229953

    6850.4690.4860.4860.420.420.4875786110.48829793140.4899123960.49196003260.49517311890.50238466730.51153112410.52588345320.5580962568

    6900.49290.5160.5160.3290.3290.51730157810.51786502110.51912962970.52073354150.52325034890.5288991480.53606355890.54730572470.5725379833

    6950.53050.5590.5590.2620.2620.56010309240.56055177340.56155880660.56283603380.56484021810.56933847030.57504363460.58399599710.6040889515

    7000.58390.6240.04010.6240.2150.2150.62497450020.62534267860.62616902940.62721709580.62886168830.63255286170.63723440240.64458052710.6610683929

    7050.65330.7040.05070.704

    7100.75610.8270.07090.827

    7150.90291.0070.10411.007

    7201.07451.2310.15651.231

    7251.27881.4890.21021.489

    7301.60690.251.8569

    7351.96240.252.2124

    7402.14560.252.3956

    7452.14230.252.3923

    7502.1950.252.445

    scattering

    wavelengthbbswBb sw modwavelengthest. bbsw0.010.020.050.10.20.5125

    3500.013450.0132646220.01353800.00936047240.00515475830.00538798990.00584253790.00634080260.00702014670.00828516890.00959054720.01124361760.013947266

    3750.009980.00990106040.01003850.00885589740.00489670650.00512714980.00557632170.00606876840.00674029340.00799108420.00928223150.01091801690.0135957133

    4000.007550.00753128050.00763900.00838451440.00465539840.0048831250.00532705860.00581383650.00647774290.00771466710.00899194850.0106108920.0132633019

    4250.005810.00582453510.00583950.00794375540.00442954460.00465462320.00509345120.00557470380.00623118440.00745459310.00871835950.01032088770.0129486511

    4500.004540.00457124890.00454000.00753128050.00421796960.00444046640.00487431640.00535018180.00599942230.00720965350.00846024270.01004676590.012650499

    4750.003590.00363495660.00364050.00714495420.00401960070.00423957950.00466857450.00513918570.00578136490.00697874380.00821648130.00978739460.0123676908

    5000.002880.00292462570.00294100.00678282620.0038334580.00405098020.00447523840.00494072370.00557601370.00676085390.00798605310.00954173720.0120991683

    5250.002330.00237820620.00234150.00644311290.0036586450.00387376970.00429340550.00475388820.00538245520.00655505870.00776802170.00930884370.0118439604

    5500.001930.00195257620.00194200.00612418130.00349434080.00370712530.00412224850.00457784790.00519985180.00636051010.00756152830.0090878420.0116011757

    5750.001620.00161723840.00164250.00582453510.00333979320.00355029240.00396100930.00441184020.00502743560.00617642960.0073657840.00887793080.011369994

    6000.001410.00135027880.00144300.00554280140.00319431170.00340257870.00380899190.00425516520.0048645010.0060021020.0071800640.00867837330.0111496607

    6250.00113572130.00114350.00527771940.00305726210.00326334840.00366555660.00410717940.00471039950.00583686960.00700370090.00848849080.01093948

    6500.00096176280.00104400.00502813020.00292806150.00313201640.00353011540.00396729110.00456453450.00568012650.00683608010.0083076580.0107388103

    6750.00081957650.00084450.00479296740.0028061730.00300804460.00340212660.00383495510.00442635620.00553131450.0066766350.00813529760.0105470588

    7000.00070248670.00074500.00457124890.00269110240.00289093690.00328109120.00370966920.00429535770.00538991870.00652484220.00797087670.0103636777

    7250.00060539150.00064550.00436206920.00258239370.0027802360.00316654890.00359096980.00417107130.00525546350.00638021860.00781390240.0101881599

    7500.00052435440.00054600.0041645930.00247962630.00267551960.00305807460.00347842870.00405306470.00512750920.00624231690.00766391860.0100200357

    4650.00397804870.00238241150.00257639780.00295527570.00337165050.00394093850.00500564920.00611072350.00752050280.0098588697

    4700.00380172310.002290390.00248250980.00285778890.00327026910.00383432280.00488950680.00598505470.00738326330.0097042576

    4750.00363495660.00220322930.00239352190.00276527790.00317394540.00373287520.0047787330.00586495520.00725183650.009555824

    4800.00347713840.00212062140.00230912480.00267743120.00308236550.0036362780.0046730040.00575009460.00712588480.0094132197

    4850.00332770250.00204228090.00222903210.002593960.0029952380.00354423670.00457201910.00564016650.00700509410.0092761199

    4900.00318612410.00196794310.00215297780.00251459610.00291229250.00345647770.0044754990.00553488570.00688917250.0091442219

    4950.00305191590.00189736210.0020807150.00243909050.00283327770.00337274660.00438318390.00543398690.00677784770.0090172435

    5000.00292462570.00183030960.00201201430.0023672120.00275796010.0032928070.0042948320.00533722280.00667086640.0088949216

    5050.00280383290.00176657330.00194666250.00229874520.00268612230.00321643880.00421021790.00524436340.00656799180.0087770104

    5100.00268914630.00170595560.00188446090.00223348980.0026175620.00314343690.00412913190.00515519350.00646900340.00866328

    5150.00258020190.00164827260.00182522480.00217125910.00255209060.00307361010.0040513780.00506951280.00637369460.0085535156

    5200.00247666060.00159335280.00176878180.00211187920.00248953230.00300678020.00397677340.00498713380.00628187270.008447516

    5250.00237820620.00154103650.00171497130.00205518760.00242972290.00294278050.00390514710.00490788120.00619335720.0083450929

    5300.00228454390.00149117460.00166364330.00200103290.00237250920.00288145560.00383633960.00483159120.0061079790.0082460694

    5350.00219539850.00144362770.00161465790.00194927360.0023177480.00282266010.00377020120.00475811030.00602557970.00815028

    5400.0021105130.00139826580.0015678840.00189977730.00226530550.00276625790.00370659220.00468729460.00594601090.008057569

    5450.00202964710.00135496730.00152319950.00185242020.00221505620.00271212170.00364538130.00461900940.00586913310.0079677901

    5500.00195257620.00131361840.00148048970.00180708650.00216688290.00266013210.00358644570.00455312810.00579481540.007880806

    5550.00187909010.00127411260.00143964750.00176366770.00212067560.00261017730.00352967010.00448953190.00572293480.0077964871

    5600.00180899190.00123635020.00140057260.00172206210.00207633140.00256215240.00347494610.00442810920.00565337570.0077147119

    5650.00174209740.00120023750.00136317070.00168217430.00203375340.0025159590.00342217220.0043687550.00558602920.0076353654

    5700.00167823350.0011656870.00132735350.00164391490.0019928510.00247150460.00337125280.00431137080.00552079280.0075583396

    5750.00161723840.00113261630.00129303820.00160719990.0019535390.00242870220.00332209790.00425586350.00545756990.0074835323

    5800.00155895970.00110094830.0012601470.00157195030.00191573710.00238747030.00327462290.00420214570.00539626940.0074108472

    5850.00150325460.00107061020.00122860680.0015380920.00187937020.00234773190.00322874810.00415013480.00533680560.0073401934

    5900.0014499890.00104153410.00119834870.00150555510.00184436730.00230941460.00318439850.00409975310.00527909720.0072714846

    5950.00139903660.00101365560.00116930820.00147427410.00181066160.00227245040.00314150330.00405092720.00522306780.0072046397

    6000.00135027880.00098691440.00114142440.00144418720.00177819050.00223677490.00309999580.00400358770.00516864490.0071395815

    6050.0013036040.00096125380.00111464010.00141523610.00174689450.00220232770.00305981280.00395766930.005115760.0070762372

    6100.0012589070.00093662020.00108890110.0013873660.0017167180.00216905140.00302089490.00391310990.00506434850.0070145377

    6150.00121608890.00091296320.00106415670.0013605250.00168760820.00213689230.00298318580.00386985110.00501434890.0069544175

    6200.00117505630.00089023520.00104035890.00133466450.00165951530.00210579940.00294663240.00382783750.00496570330.0068958144

    6250.00113572130.00086839130.00101746240.00130973820.00163239240.00207572440.00291118440.00378701660.00491835650.0068386694

    6300.00109800080.00084738930.00099542440.00128570270.00160619520.0020466220.00287679420.00374733880.00487225630.0067829267

    6350.00106181670.00082718920.00097420460.00126251680.00158088170.0020184490.00284341670.0037087570.00482735330.0067285329

    6400.00102709490.00080775320.00095376480.00124014170.00155641220.00199116470.00281100920.00367122650.00478360040.0066754375

    6450.00099376560.00078904560.00093406910.00121854060.00153274910.00196473040.00277953120.0036347050.00474095290.0066235923

    6500.00096176280.00077103270.00091508320.00119767870.0015098570.00193910980.00274894440.00359915220.00469936840.0065729517

    6550.00093102410.00075368250.00089677490.0011775230.00148770210.0019142680.00271921230.00356452990.00465880650.006523472

    6600.00090149050.00073696490.00087911370.00115804240.00146625260.00189017230.00269030030.00353080190.00461922880.0064751116

    6650.00087310610.00072085130.00086207070.00113920740.00144547810.00186679150.00266217570.00349793370.00458059890.006427831

    6700.00084581820.00070531450.00084561840.00112098980.00142535020.00184409610.00263480730.00346589240.0045428820.0063815925

    6750.00081957650.0006903290.00082973080.00110336310.00140584140.00182205790.00260816530.00343464680.00450604480.00633636

    6800.00079433370.00067587030.00081438340.00108630210.0013869260.00180065030.00258222160.00340416720.00447005580.0062920992

    6850.00077004490.00066191540.00079955280.00106978290.00136857950.00177984790.00255694940.00337442520.00443488490.0062487772

    6900.00074666740.00064844240.00078521670.00105378280.00135077850.00175962670.0025323230.0033453940.00440050350.0062063628

    6950.00072416080.00063543050.00077135420.00103828020.00133350090.00173996360.00250831830.00331704770.00436688390.0061648259

    7000.00070248670.000622860.00075794520.00102325450.00131672570.0017208370.0024849120.00328936190.00433400020.0061241378

    Rrs plot

    0.01457666030.01455158520.01438106790.01407825670.01356163980.01248662280.01138060360.01007332030.0081546893

    0.01558495670.01533812760.01475149050.01404836780.01309528090.01149177410.01010305610.00865362740.0067574916

    0.01571177730.01528306640.0143857650.01341976150.01222152370.01039224260.00893872320.00751434310.0057554162

    0.01533704440.01478360960.01369226540.01258388420.01127807530.00939578510.00797426230.00663078250.0050242316

    0.01636982370.01554088830.01402961010.01261126020.01105145130.0089639610.00748479240.00614633310.0046039673

    0.01730222450.01608870370.01405063660.01229359070.01049728930.00827009770.00678978980.00550588240.004077826

    0.01744471090.01604632890.01378627570.01191335370.01006031280.00783647920.00639609870.00516641020.0038149593

    0.01713219490.01561729790.01324219960.01133389440.00949251020.00733544320.00596398320.0048057680.0035427347

    0.01633697270.0148697450.0125841130.01075969480.00900792960.00696396090.00566689690.00457146940.0033752262

    0.01539214560.01402251290.0118863210.0101793650.00853841010.0066197280.00539854310.00436393130.0032296112

    0.01456420710.01326046780.01123414540.00962080370.00807375060.00626767690.00511814130.00414302770.0030714694

    0.01358412890.01239911370.01054540050.00906032940.00762876430.00594739870.0048706910.00395268760.0029383668

    0.01204342610.01114073190.00966433550.00842906620.00719593810.0056958170.00470643420.00384579950.002877829

    0.01071857020.01006909880.0089414590.00794207410.00689677480.00556366960.00464906930.00383198310.0028913158

    0.00922849080.00882603650.00806026260.00732211930.00649644040.00536967680.00455221790.00379409880.0028928926

    0.00871890510.00838675190.00772986320.007075950.00632613470.00527702010.00449973090.00376821120.0028870437

    0.00835948680.00807095390.00748313420.00688437920.00618607240.00519242380.00444567720.00373574180.0028725168

    0.00794366710.0077088510.00720632880.00667541310.00603973380.00511188920.004399970.00371344380.0028680622

    0.00749330710.00732712270.00693418770.00649012170.00593328510.00508456580.0044107450.00374605090.0029114454

    0.00693545240.00684409140.00657516770.00623332670.0057726060.00502435110.00440119840.00376723380.0029504207

    0.00625476240.00624688810.00612316780.00590705340.00556948260.00495508060.0044012280.00380943970.0030160049

    0.00577672190.0058162590.00577904780.00564207690.00538634270.00486720290.0043668070.00381070130.0030415675

    0.00520532340.00529062840.00534212780.00529122020.00512912980.0047254110.00429360730.00378582650.0030527626

    0.00452012220.00464988690.00479522060.00484270250.00479477350.00454137390.00420378130.00376429750.00308239

    0.00384302430.00400568720.00422968090.00436887840.00443707660.00435134850.00412725240.00377378470.0031567816

    0.00306914090.00324014180.00350233350.00370168070.00386180270.00393574350.00383996750.00360015810.0030917183

    0.00240941840.00257338270.00284261030.00307103310.003290240.00349079810.00351408840.0033920550.0030079113

    0.00195335280.0021056560.00236661870.00260274680.00285109330.0031329760.00324631840.00322361730.0029542426

    0.00184269610.00199673670.00226518620.00251428410.00278550050.00311632430.00327828630.003305760.0030869435

    0.0017560180.00191001730.00218060520.00243472870.00271596140.00307037220.00325771320.00331346030.0031270197

    0.00164259950.00179449830.00206429880.00232174030.00261278590.00299505930.0032156640.00331104720.0031732395

    0.00153568050.00168494870.00195273090.00221200570.00251089350.00291826040.00317091510.00330642260.0032205705

    0.00142637140.00157173490.00183495860.00209333050.00239664440.00282431840.00310652790.00328203530.0032523542

    0.00129080460.00142908360.0016822410.00193476850.00223763360.00268185650.00299564290.00321935020.0032650013

    0.00113959160.00126762440.00150447780.00174438650.00203802450.00248501090.00282071380.00308718970.0032122025

    0.00105284110.00117604280.00140576640.00164118290.00193384460.00239225290.00275280640.00306124810.0032601884

    0.00098708720.00110667290.00133087230.00156248220.0018535220.00231846250.00269581790.00303469740.0032912618

    0.00092663380.00104251230.00126070280.00148754680.00177503650.00224153380.00262959360.00299122060.00329575

    0.00083375310.00094104530.00114366060.00135520650.00162480250.00206664610.00243985340.00279538940.0031124889

    0.00073201630.00082921550.00101361970.00120746420.00145674740.00187209210.00223196610.0025875710.002934408

    0.00061502870.00069894950.00085859240.00102706030.00124480440.00161085170.00193225910.00225570910.0025843817

    0.00048956620.0005586860.00069105830.00083215080.00101698550.00133552640.00162617050.00193495590.0022883655

    0.00038908920.00044559210.00055422660.00067069120.00082445390.0010932590.00134394880.00161850990.0019531727

    0.00030706690.00035300390.00044178510.00053771210.00066571680.00089400720.00111363840.00136495640.0016999877

    0.00022544570.00026009340.00032732210.0004003940.00049869160.00067667460.00085197820.0010592970.0013544779

    0.00018965290.00021938250.00027708440.00033982210.00042424620.00057717320.00072785050.0009060620.0011596499

    0.00018023740.0002090830.00026513350.00032617960.0004085190.00055832890.00070696310.0008845090.0011422783

    0.00017347430.00020174660.00025667380.00031647760.00039710030.00054362950.00068874380.00086161150.0011111668

    0.00016447550.00019178110.00024484050.00030262440.00038054480.0005222210.00066260460.00082994610.0010718066

    0.00015598530.00018233990.00023354180.00028928340.00036440820.00050084040.00063575660.00079609490.0010263737

    0.00014795640.00017339580.00022281790.00027661590.00034910480.00048067950.0006106650.00076490690.0009857077

    0.00013985370.00016432110.00021185830.00026360660.00033333330.00045987960.00058485930.00073307760.0009449793

    0.00013239260.00015596630.00020178610.0002516940.00031899160.0004412960.00056233580.00070629310.0009132748

    0.00012373340.00014616080.00018978370.00023734850.00030157670.00041860970.00053490580.00067401830.000876346

    0.00011558660.00013687980.00017829230.00022343650.00028437230.00039530970.0005053810.0006367410.000826856

    0.0001035760.0001229740.00016070950.00020185770.00025741870.00035862470.00045910990.00057912630.0007530556

    0.00009166470.00010910790.00014304280.00018004730.00023001080.00032100010.0004112930.00051903220.0006748156

    0.00008566140.00010219310.00013432260.00016930220.00021642150.00030183410.00038595660.00048523740.0006256128

    0.00008188960.00009792240.00012906360.00016293350.00020849130.00029083220.00037154330.00046613910.000598014

    0.0000785820.00009422660.00012464840.0001577930.00020248130.00028361740.0003637190.0004585640.0005935421

    0.00007416350.00008917220.000118390.0001502760.00019336620.00027194480.000350060.00044347050.0005790742

    0.00006954820.00008386270.00011177570.00014231510.00018373210.00025977560.00033619370.00042900570.0005680253

    0.00006422450.00007766620.00010392310.00013272750.00017193740.00024444950.00031816070.00040917760.0005501331

    0.00005813330.0000704950.00009467480.00012125540.00015754190.00022501960.00029421870.00038075340.0005182361

    0.00005107550.00006210280.00008369520.00010746920.00013999590.00020073760.00026344730.00034262480.000470881

    Input [chl a] (mg m-3)

    chl_a: 0.01

    chl_a: 0.02

    chl_a: 0.05

    chl_a: 0.1

    chl_a: 0.2

    chl_a: 0.5

    chl_a: 1

    chl_a: 2

    chl_a: 5

    wavelength (nm)

    Remote sensing reflectance (sr-1)

    Rrs est

    wavelengthchl_a: 0.01chl_a: 0.02chl_a: 0.05chl_a: 0.1chl_a: 0.2chl_a: 0.5chl_a: 1chl_a: 2chl_a: 5

    3800.01457666030.01455158520.01438106790.01407825670.01356163980.01248662280.01138060360.01007332030.0081546893

    3850.01558495670.01533812760.01475149050.01404836780.01309528090.01149177410.01010305610.00865362740.0067574916

    3900.01571177730.01528306640.0143857650.01341976150.01222152370.01039224260.00893872320.00751434310.0057554162

    3950.01533704440.01478360960.01369226540.01258388420.01127807530.00939578510.00797426230.00663078250.0050242316

    4000.01636982370.01554088830.01402961010.01261126020.01105145130.0089639610.00748479240.00614633310.0046039673

    4050.01730222450.01608870370.01405063660.01229359070.01049728930.00827009770.00678978980.00550588240.004077826

    4100.01744471090.01604632890.01378627570.01191335370.01006031280.00783647920.00639609870.00516641020.0038149593

    4150.01713219490.01561729790.01324219960.01133389440.00949251020.00733544320.00596398320.0048057680.0035427347

    4200.01633697270.0148697450.0125841130.01075969480.00900792960.00696396090.00566689690.00457146940.0033752262

    4250.01539214560.01402251290.0118863210.0101793650.00853841010.0066197280.00539854310.00436393130.0032296112

    4300.01456420710.01326046780.01123414540.00962080370.00807375060.00626767690.00511814130.00414302770.0030714694

    4350.01358412890.01239911370.01054540050.00906032940.00762876430.00594739870.0048706910.00395268760.0029383668

    4400.01204342610.01114073190.00966433550.00842906620.00719593810.0056958170.00470643420.00384579950.002877829

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  • SeaWiFS empirical OC4 algorithm for Chl-a; Called a maximum-band ratio alg.

  • MODIS Ocean ProductsMODIS Instruments: Terra (1030 morning), Aqua (1330 afternoon)40 products: 4 SST, 36 Ocean ColorResolution:Spatial: Level 2 - 1km, ~2000km x 2000km; Level 3 - 4km, 39 km, 1 deg [all products are global]Temporal Resolution:Level 2 - 5 minute granule; Level 3 - daily, 8 day week, monthly, yearly

  • MODIS Ocean data productsThere are 86 ocean parameters available in over 100 categories of MODIS Ocean data types archived by (and may be obtained from) the NASA Goddard Distributed Active Archive Center.

    The three basic groupings of MODIS ocean data parameters are:ocean colorsea surface temperatureocean primary production Ocean Parameter categories:36 Ocean Color parameters4 Sea Surface Temperature parameters8 Primary Productivity parameters (including 2 Primary Production indices) 38 Quality Control parameters.

  • Processing levelsOcean color and sea surface temperature are available at a variety of processing levels:

    Level 1 - Unprocessed top of the atmosphere radiance/reflectanceAt 1-km spatial resolution5 minute granule time resolution Level 2 swath data At 1-km spatial resolution5 minute granule time resolutionLevel 3 global binned or mapped data spatial resolutions of 4.63km, 39km, or 1 degreeTime resolutions of one day, 8 days, a month or a year. The binned data products use an integerized sinusoidal equal area grid (ISEAG). The mapped products use a Cylindrical Equidistant Projection.

  • Level 4 ProductivityOcean primary production data is available only as binned or mapped Level 4 (i.e. L4) data.Ocean Productivity outputs are averaged weekly or yearly. Like the L3 data, the L4 data is organized spatially as either 4km ISEAG gridded bins or as maps using a Cylindrical Equidistant Projection. The mapped data products are available in a choice of 4km , 39km, or 1 degree spatial resolutions. More than one model is used for deriving these data products and some quality statistics are available.

  • DAILYPGE208-DAYPGE54MONTHLYPGE73YEARLYPGE74PGE51L2L3L3L3L3L3L3L3L3L3L3L3L3L4L4L4L4L3L3L3L3L4L4L4L4PGE52L4DATA BINNING PATHWAYSOcean Color & SSTOcean Primary Productivity1 km 4.6 km 4.9km 39km 1 =111 km Swath ISEAG Linear Linear Linear Binned Maps

  • SeaWifs, April 24, 1999Thanks to Seelye Martion

  • July 17th, 2003Aug 3rd, 2003

  • http:/sal.ocean.washington.edu (my lab web-site)

    http://learn.arc.nasa.gov/http://www.earth.nasa.gov/

  • Flying

    Miles G. Logsdon, University of Washington, School of Oceanography, [email protected] agenda is to offer an overview of the concepts of Remote Sensing and Image Processing with specific applications to ocean and coastal environments.These are the people that can offer a much more detail understanding of the subject.At the root enjoying your work in Remote Sensing is to enjoy looking an pictures.Here are the formal definitions of Remote Sensing and Image processing. Note the words which Ive highlighted.Well be concern primarily with the second source of radiations the passive reflected light Remote Sensing data is received from the satellite and processed into image files based upon an index of path and rows over the earths surface Paths (numbered east to west) follow the path of the satellite or swath over the earths surface, while Rows (number north to south) divide the swath into image scenes.Classified LandcoverNormalized Difference Vegetation IndexLand surface TemperatureA time series Visible light spectrum and the additive (combining color sources) Subtractive (absorb color)Our eye is a remote sensing instrument. Passive radiation from the sun reflects of the leaf (while some energy is absorbed) and the return is the spectral signature.The light has to travel through the atmosphere twice and is affected by the angle of the sun and the view angle of the sensor.- Absorption, - Scattering, - Emission.The sensors measures both the added radiance from the scattering of light from the atmospheric composition and the absorption of light as well.Our main Atmospheric correction is concerned with Rayleigh scatteringThe shape of the Atmospheric particle affects the scatteringNote the affects of scattering as a function of wavelengthSurface roughness influences the direction and amount of reflectionsThese are the types of surfaces we must deal with when investigating the reflective properties various materialsPIXEL: the spatial unit for the measurement of reflected light by remote sensing instrument (the resolutions)The 1-D histogram and the 2-D scatterplot map pixel values by wavelength bands into spectral space.The ocean color sensors are primarily designed to investigate the visible part of the EM spectrumNames for band combinations: true color, false color, pseudo-colorSources and destinations of data in the binning and mapping process.