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A Matlab software to estimate Euler pole parameters
...Please cite one of the following papers when you use the software:
- Goudarzi, M A, Cocard, M, and Santerre, R. 2014."EPC: Matlab Software to Estimate Euler Pole Parameters". GPS Solutions 18 (1): 153–62. DOI: 10.1007/s10291-013-0354-4*.
- Goudarzi, M A. 2025."Evaluating Euler Pole Parameters for the North American Terrestrial Reference Frame of 2022". Geodesy and Geodynamics. DOI: 10.1016/j.geog.2025.03.004.
* The element G_23 of the Jacobian matrix of linearized observations in formula 18 (page 4) in this paper has an incorrect sign (minus sign should be removed). ...
*.xml files are uploaded to SAGA GIS toolchains 'Files'
from where they can be downloaded:
https://sourceforge.net/projects/saga-gis-rhotoolchains/files/
SAGA-GIS-toolchain_Burned_area.xml ___is presented in GitHub:
https://github.com/RhoSpatial/Saga-gis-toolchain-for-burned-area-mapping-
VIIRS_snow_tool_FINAL7.xml ___is a toolchain for snow cover retrival from VIIRS instrument imagery (NASA), input is study area cloud free VNP09GA product and DEM in GQ(nom 250m) resolution, it was developed to make high accurate snow cover analytics on Atlas mountains(Morocco). It was tested in 2017/18 snow season(output grids are available: mih.zemva@gmail.com). It is fairly complicated but not as much as toolchain for MODIS(not uploaded) with MOD09.. products input .
* in line 139 polygon *.shp must be linked from drive; it's an additional retrieval of index values to monitor waterbodies and does not relate to snow cover analytics
...This Python TK application calculates a good set of stars for a 3 star fix, makes all calculations similar to the FAAs Celestial Computation Sheet (see FAA doc FAA-H-8083-18).
Also, you can create a PDF file that generates Pub 249 Vol 1 for any epoch you specify.
The PUB249 as PDF is found under "Files".
I wrote this for my aircraft bubble octant :-)
It is mainly useful for air navigation as it assumes a bubble sextant but may be used for normal sextants as well.
Requires Ephem and ReportLab (optional for PDF output)
Not to be used for real-world navigation!
SPatial Analysis With self-organizing Neural Networks
...Other related publications:
- Hagenauer, J. (2016). Weighted merge context for clustering and quantizing spatial data with self-organizing neural networks. Journal of Geographical Systems, 18(1), 1-15.
- Hagenauer, J., & Helbich, M. (2013). Contextual neural gas for spatial clustering and analysis. International Journal of Geographical Information Science, 27(2), 251-266.
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