View source: R/hsicorrectwrite.R
hsi.correct.write | R Documentation |
WARNING, WARNING, WARNING!!!!!!!
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)
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 |
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.
A matrix topographic and brdf corrected reflectance data
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