hsi.correct.write: ———————-

In akamoske/hypRspec: processing tools for hyperspectral imagery

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Description

WARNING, WARNING, WARNING!!!!!!!

Usage

hsi.correct.write(hy.file, ndvi.mask, brightness.mask, metadata.path,
  reflectance.path, wavelength.path, solar.az.path, solar.zn.path,
  slope.path, aspect.path, sensor.az.path, sensor.zn.path, coordinate.path,
  ross, li)

Arguments

hy.file	hdf5 file containing hyperspectral imagery and associated metadata
ndvi.mask	NDVI mask created with the ndvi.mask function
brightness.mask	brightness mask created with the brightness.mask function
metadata.path	hdf5 path to reflectance metadata
reflectance.path	hdf5 path to reflectance data
wavelength.path	hdf5 path to wavelength metadata
solar.az.path	hdf5 path to solar azimuth data
solar.zn.path	hdf5 path to solar zenith data
slope.path	hdf5 path to slope data
aspect.path	hdf5 path to aspect data
sensor.az.path	hdf5 path to sensor azimuth data
sensor.zn.path	hdf5 path to sensor zenith data
coordinate.path	hdf5 path to coordinate data
ross	set to either "thick" or "thin" based on ross kernal needed
li	set to either "dense" or "sparse" based on ross kernal needed

Details

THIS FUNCTION WILL OVERWRITE THE DATA THAT IS USED AS AN INPUT!!!!!!!!!!!

TO AVOID LOSING YOUR ORIGINAL DATA, MAKE SURE TO COPY THE ORIGINAL FILES TO ANOTHER LOCATION BEFORE RUNNING THIS FUNCTION!!!!!!!!!

WE ARE NOT RESPONSIBLE FOR ANY LOST DATA FROM THE USE OF THIS FUNCTION.

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Topographically and brdf correct a hdf5 file containing hyperspectral imagery and then write this data to a new hdf5 file.

This function first reads in a hdf5 file and applies a topographic correction based on the following paper:

Soenen, S.A., Peddle, D.R., and Coburn, C.A., 2005. SCS+C: A Modified Sun-Canopy-Sensor Topographic Correction in Forested Terrain. IEEE Transactions on Geoscience and Remote Sensing, 43(9): 2148-2159.

Next a brdf correction is applied based on the following papers:

Colgan, M.S., Baldeck, C.A., Feret, J.B., and Asner, G.P., 2012. Mapping savanna tree species at ecosystem scales using support vector machine classification and BRDF correction on airborne hyperspectral and LiDAR data. Remote Sensing, 4(11): 3462-3480.

Collings, S., Caccetta, P., Campbell, N., and Wu, X., 2010. Techniques for BRDF correction of hyperspectral mosaics. IEEE Transactions on Geoscience and Remote Sensing, 48(10): 3733-3746.

Schlapfer, D., Richter, R., and Feingersh, T., 2015. Operational BRDF effects correction for wide-field-of-view optical scanners (BREFCOR). IEEE Transactions on Geoscience and Remote Sensing, 53(4): 1855-1864.

Wanner, W., Li, X., and Strahler, A.H., 1995. On the derivation of kernels for kernel-driven models of bidirectional reflectance. Journal of Geophysical Research: Atmospheres, 100(D10): 21077-21089.

Weyermann, J., Kneubuhler, M., Schlapfer, D., and Schaepman, M.E., 2015. Minimizing Reflectance Anisotropy Effects in Airborne Spectroscopy Data Using Ross-Li Model Inversion With Continuous Field Land Cover Stratification. IEEE Transactions on Geoscience and Remote Sensing, 53(11): 5814-5823.

Value

A matrix topographic and brdf corrected reflectance data

akamoske/hypRspec documentation built on July 30, 2024, 2:22 a.m.