LAI

Leaf area index model


EnvironmentsPYTHON :: EASI :: MODELER
Batch ModeYes
Quick linksDescription :: Parameters :: Parameter descriptions :: Details :: References :: Related

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Description


Calculates a leaf area index model value.
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Parameters


Name Type Length Value range
Input1: Atmospherically corrected RED sensor channel * Raster port 1 - 1  
Input2: Atmospherically corrected NIR sensor channel * Raster port 1 - 1  
Output: Output LAI model channel Raster port 0 - 1  
Parameters for LAI Float 0 - 3 Default: 0.82,0.78,0.60

* Required parameter
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Parameter descriptions

Input1: Atmospherically corrected RED sensor channel

Specifies the input image channel that contains the atmospherically corrected red sensor band reflectance image generated by the ATCOR function.

Input2: Atmospherically corrected NIR sensor channel

Specifies the input image channel that contains the atmospherically corrected NIR sensor band reflectance image generated by the ATCOR function.

Output: Output LAI model channel

Specifies output channel to receive the output LAI image.

Parameters for LAI

Optionally specifies three parameters for the LAI calculation using the following equation:

SAVI = a0-a1*exp(-a2*LAI)    
Default values are:
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Details

LAI calculates the leaf area index model value. To run LAI, you must enter atmospherically corrected RED and NIR sensor band channels generated by ATCOR.

LAI is calculated using the following equation:

SAVI = a0-a1*exp(-a2*LAI)

where a0,a1,a2 specify the three parameters.

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References

The Atmospheric Correction component was produced by PCI Geomatics using algorithms developed by DLR, German Aerospace Research Establishment. The algorithms used in the various programs of the component are based on information from the following papers:

Lanzl, F. and R. Richter. "A Fast Atmospheric Correction Algorithm for Small Swath Angle Satellite Sensors". ICO topical meeting on atmospheric, volume, and surface scattering and propagation, Florence, Italy, August 1991.

Richter, R. "Error Bounds of a Fast Atmospheric Correction Algorithm for the Landsat Thematic Mapper and Multispectral Scanner Bands", Applied Optics, 30, no.30 (1991):4412-4417.

Richter, R. "Model SENSAT: A Tool for Evaluating the System Performance of Optical Sensors", SPIE PROPAGATION ENGINEERING 1312 (1990): 286-297.

Ahern, F.J., P.M. Teillet, and D.G. Goodenough. "Transformation of Atmospheric and Solar Illumination Conditions on the CCRS Image Analysis System". Paper presented at Machine Processing of Remotely Sensed Data Symposium, 1977.

Richter, R. "A Fast Atmospheric Correction Algorithm Applied To Landsat TM Images", Int. J. Remote Sensing, 11, no. 1 (1990): 159-166.

Calculation of FPAR: Wiegand, C.L. et al., Remote Sensing Environment, 33 (1990): 1-16.

Choudhury, B.J., Ahmed, N.U., Idso, S.B., Reginato, R.J., Daughtry, C.S.T., 1994. "Relations between evaporation coefficients and vegetation indices studied by model simulations", Remote Sensing Environment, 50(1), 1-17.

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