1 Remote sensing of snow in visible and near-infrared wavel

1 Remote sensing of snow in visible and near-infrared wavel 1 Remote sensing of snow in visible and near-infrared wavel - Start

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1 Remote sensing of snow in visible and near-infrared wavel - Description

Jeff Dozier – UCSB. NASA Snow Remote Sensing Workshop. Boulder, August 2013. Different concepts in different parts of spectrum. Visible, near-infrared, and infrared. Independent scattering. Weak polarization. ID: 270795 Download Presentation

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1 Remote sensing of snow in visible and near-infrared wavel




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Presentations text content in 1 Remote sensing of snow in visible and near-infrared wavel

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Remote sensing of snow in visible and near-infrared wavelengths

Jeff Dozier – UCSB

NASA Snow Remote Sensing Workshop

Boulder, August 2013

Slide2

Different concepts in different parts of spectrum

Visible, near-infrared, and infraredIndependent scatteringWeak polarizationScalar radiative transferPenetration near surface only~0.3 m in blue, few mm in NIR and IRSmall dielectric contrast between ice and water

Microwave and millimeter waveExtinction per unit volumePolarized signalVector radiative transferLarge penetration in dry snow, many mEffects of microstructure and stratigraphySmall penetration in wet snowLarge dielectric contrast between ice and water

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Slide3

Optical properties of ice & water — visible and near-infrared wavelengths

wavelength,

m

(Warren,

Applied Optics,

1982)

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Slide4

N=n+ik, Index of refraction (complex)

i

r

I

0

I

dx

4

Slide5

Basic scattering properties of a single grain

Mie theory, based on

N

and

x=2

r/

 — single-scattering albedo

g —

asymmetry parameter

Q

ext

extinction efficiency

Slide6

Snow is a collection of scattering grains

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Slide7

Snow spectral reflectance and absorption coefficient of ice

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Slide8

Spectra with 7 MODIS “land” bands (500m resolution, global daily coverage)

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Slide9

Landsat Thematic Mapper (TM, on Landsats 4,5,7)

30 m spatial resolution185 km FOV16 day repeat passLandsat 8 launched in February 2013

Slide10

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Benefit of shortwave-infrared

Landsat snow-cloud discrimination

Bands 3 2 1

(visible)

Bands 5 4 2 (

V,nIR,swIR

)

Slide11

MODIS: similar bands, wider swath (2300 km), bigger pixels (500 m), daily coverage

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Slide12

Snow cover from MODIS

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Slide13

Comparison of MODIS (500m) and Landsat (30m) fSCA

32 scenes with coincident MODIS and Landsat images

Average

RMSE = 7.8%Range from 2% to 12%

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Slide14

Cloudy, 20%-80% depending on where/when

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