Remote Sensing of Lake Tahoes Near Shore Environment Shohei Watanabe - - PowerPoint PPT Presentation

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Remote Sensing of Lake Tahoes Near Shore Environment Shohei Watanabe - - PowerPoint PPT Presentation

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Remote Sensing of Lake Tahoes Near Shore Environment Shohei Watanabe 1 , Erin L. Hestir 1,3 , Sean D. Hogan 1 , Geoffrey Schladow 2 , George Scheer 1 and Susan L. Ustin 1 1 Center for Spatial Technologies and Remote Sensing, Department of Land,

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SLIDE 1

Remote Sensing of Lake Tahoe’s Near Shore Environment

Shohei Watanabe1, Erin L. Hestir1,3, Sean D. Hogan1, Geoffrey Schladow2, George Scheer1 and Susan L. Ustin1

1 Center for Spatial Technologies and Remote Sensing, Department of Land, Air and

Water Resources, University of California, Davis

2 Tahoe Environmental Research Center, University of California, Davis 3 Environmental Earth Observation Program, Division of Land and Water,

Commonwealth Scientific and Industrial Research Organization, Australia

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SLIDE 2

Remote Sensing Applications

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SLIDE 3

Remote Sensing Applications

  • Species detection and mapping of

submerged aquatic vegetation

  • Submerged aquatic plants
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SLIDE 4

Need of mapping at Lake Tahoe

  • Invasive species in near shore area

– Asian Clams – Macrophytes (aquatic plants)

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SLIDE 5

Objectives

  • Mapping near shore substrate

– Asian clams – Aquatic plants

  • Water quality monitoring

– Phytoplankton – Organic carbon – Suspended solids

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SLIDE 6

Objectives

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SLIDE 7

Methods

Water quality data (Chl, CDOM)

Chl, CDOM

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SLIDE 8

Methods

  • Remote sensing data

– Multispectral satellite image (WorldView-2) – Hyperspectral airborne image (SpecTIR)

  • In situ measurements

– Above-surface spectrometer measurements – Underwater spectrometer measurements

  • Laboratory optical measurements

– Absorption & Scattering coefficient of water

  • Radiative transfer modeling

– Model remote sensing reflectance from above measurements

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SLIDE 9

In situ Spectrometer

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SLIDE 10

In situ Spectrometer

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SLIDE 11

SpecTIR

  • High spatial resolution

– 2 m

  • Hyperspectral

– 126 bands in visible- NIR

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SLIDE 12

SpecTIR

  • 15 Flight lines in south of the lake
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SLIDE 13

SpecTIR

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SLIDE 14

WorldView-2

  • High spatial

resolution

– 2.5 m

  • Multispectral

– 8 bands in visible- NIR

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SLIDE 15

WorldView-2

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SLIDE 16

Radiative Transfer Model

  • Hydrolight modeling of Remote sensing

reflectance near shore environement

aCDOM(λ) aΦ(λ) aNAP(λ) apyco+d(λ) bp (λ) Bottom R(λ) etc

Rrs(λ)

Inputs Outputs

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SLIDE 17

In situ Spectrometer (Underwater)

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SLIDE 18

In situ Spectrometer (Underwater)

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SLIDE 19

Laboratory Spectrophotometry

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SLIDE 20

Upcoming Analyses

Comparisons of spectra obtained by several different methods Develop substrate classification methods, and apply them on the images. Develop models determine water constituent concentrations

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SLIDE 21

Thanks

Boat Drivers and Scientific Divers at TERC

  • Dr. Vincent and his colleagues at Laval

University, Canada