Predictive Soil Mapping in Arizona's Basin and Range Province - NRCS

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Dark object subtraction method (Chavez, 1996)(COST –. Cosine of ... COST. Desert. App. R e fle cta nce. Apparent. COST. Desert. Rayleigh. Band 7. Band 3.
Predictive Soil Mapping in Arizona’s Basin and Range Province Matt Levi1, Craig Rasmussen1, and Nathan Starman2 1Soil,

Water, and Environmental Science Department, University of Arizona 2USDA – Natural Resources Conservation Service (Phoenix, Arizona)

Outline 

Introduction  

  

Objectives Methods Results  



Soil pre-mapping Atmospheric correction methods

Atmospheric effects Pre-maps

Conclusions

Introduction 





The National Cooperative Soil Survey is near completion of initial mapping in the contiguous U.S. Areas of the West are still without soil information Updates planned for older surveys

Soil pre-mapping  

Requires time, energy, money, and experience Surface reflectance (e.g., Landsat) is often used for developing pre-maps  subject to atmospheric interactions!



Several methods of correcting for scattering and absorption effects

Assumptions 

Dark object subtraction (COST)  



Radiative transfer code approach (6S)  



True dark object Multiple dark objects needed Must know input parameters (AOD) More complex

First goal should be to do no harm!

Objective 

Objectives are to compare two methods of atmospheric correction for a Landsat 7 ETM+ image taken in a semi-arid ecosystem (~160,000 ha, Graham County, AZ).

Methods 

LS scene from 12 Sept. 2000 



Radiometric corrections according to LS 7 Handbook (apparent reflectance)

Correction methods 



Dark object subtraction method (Chavez, 1996)(COST – Cosine of solar zenith angle) Radiative transfer code approach (6S –Second Simulation of a Satellite Signal in the Solar System) 



Rayleigh scattering – scattering of light by particles smaller than wavelength Mid-Latitude / Desert atmosphere/aerosol (AERONET – Tucson)

Study Area

Landsat 7 ETM+ Data

http://ls7pm3.gsfc.nasa.gov/mainpage.html

Results - Landsat Reflectance

Band 3

COST App

Desert

Rayleigh

Band 7 Reflectance

Apparent

Apparent

COST

Desert

Rayleigh

• 36 points – – – –

Water Vegetation Geology Soil

Results 0.30

Band 1 Surface Reflectance

Surface Reflectance

0.25 0.20 0.15 0.10 0.05

Band 2

0.25 0.20 0.15 0.10 0.05 0.00

0.00 0.00

0.05

0.10

0.15

0.20

0.00

0.25

0.05

0.10 0.15 0.20 Apparent Reflectance

0.25

0.30

Apparent Reflectance 0.60

Band 3

0.30

Band 4

0.50 Surface Reflectance

Surface Reflectance

0.35

0.25 0.20 0.15 0.10 0.05

0.40 0.30 0.20 0.10 0.00

0.00 0.00

0.05

0.10

0.15

0.20

0.25

Apparent Reflectance

0.30

0.35

0.00

0.10

0.20

0.30

Apparent Reflectance

0.40

0.50

0.60

Results 0.50

0.60

Band 5

0.50

Band 7 0.40

0.30 0.20 0.10 0.00 0.00

0.20

0.40

Apparent Reflectance

0.60

Surface Reflectance

Surface Reflectance

0.40 0.30 0.20 0.10 0.00 0.00

0.10

0.20

Apparent Reflectance

0.30

0.40

Results – Soil Pre-map

1:63,000 Scale

1:24,000 Scale

Summary  







More variation in COST model As wavelength increases, COST model overestimates reflectance Rayleigh scattering had best relationship with apparent reflectance Lack of ground data for the date of scene inhibits correction methods No true dark objects

Conclusions 





Application of the surface reflectance will determine the complexity and necessary assumptions of the atmospheric correction needed. Available data (atmosphere / aerosol) will also direct correction method. For soil survey purposes, a Rayleigh correction is suggested when atmospheric conditions cannot be quantified.

Future Mapping Focus

1:63,000 Scale

1:24,000 Scale

References 



 

Chavez, P.S. 1996. Image-based atmospheric corrections – revisited and improved. Photogram. Engineer. Rem. Sens. 62:1025-1036. Vermote, E.F., D. Tanré, J.L. Deuzé, M. Herman, and J. Morcrette. 1997. Second simulation of the satellite signal in the solar spectrum, 6S: an overview. IEEE Trans. Geosci. Remote Sensing. 35: 675-686. http://modis-sr.ltdri.org/code.html http://aeronet.gsfc.nasa.gov/cgibin/type_one_station_opera_v2_new?site=Tucson&nach al=2&level=1&place_code=10

Thank You!

Results Stdev Band 1 2 3 4 5 7

Apparent Mid-lat Reflectance COST Rayleigh Desert 0.014 0.018 0.016 0.017 0.023 0.027 0.024 0.027 0.039 0.048 0.040 0.044 0.040 0.049 0.040 0.043 0.072 0.090 0.072 0.075 0.066 0.085 0.066 0.073

1.00

NDVI

Surface Reflectance

0.80

0.60 cost mid-desert 0.40

rayleigh 11 Linear (1 1)

0.20

0.00 -0.20 -0.20

0.00

0.20

0.40

Apparent Reflectance

0.60

0.80

1.00

Results Reflectance

Band 1

COST App a

Desert

Rayleigh

Band 2 Reflectance

Apparent

Apparent

COST App

Desert

Rayleigh

Reflectance

Band 3

COST App a

Desert

Rayleigh

Band 4

Reflectance

Apparent

Apparent

COST App a

Desert

Rayleigh

Reflectance

Band 5

COST App a

Desert

Rayleigh

Band 7 Reflectance

Apparent

Apparent

COST App a

Desert

Rayleigh