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Looking for a Business Consultant for a project in Cyprus
By mohamed,
Required Qualifications:
- More than 7 years relevant work experience as a Business Consultant
- Have participated as a Business Consultant in project related to the Implementation of Directive 2007/2/EC (INSPIRE)
- Prefer greek speaking
Please submit your CV on [email protected]
GOES-EAST 13 Question for Georeferencing?
By sigologo,
Hello Guys !!!
I have problem I need georeferencing GOES Image available from http://goes.gsfc.nasa.gov/goeseast/fulldisk/fullres/vis/
but no idea what projection present on file.. this is a metadata
GOES 13 Imager frame 78 at UTC 14:45:22.485 day 009 of 2015Vis pixels : 4009, 24840 lines : 2621, 13440Vis Lon : 999999,999999 Lat : 999999,999999Imager ch1:count(0,1023) => [(albdo-0)/0.4]^1 =Uchar> (0,255)(xscale,yscale) => (0.571429,1)Vis pixels: 3650, 28850 lines: 2
Rasterio - Fast and direct raster I/O for Python programmers who use Numpy
By mark312,
Rasterio employs GDAL under the hood for file I/O and raster formatting. Its functions typically accept and return Numpy ndarrays. Rasterio is designed to make working with geospatial raster data more productive and more fun.
https://pypi.python.org/pypi/rasterio/0.16
Gippy - Geospatial Image Processing for Python
By mark312,
GIPPY is made up of python bindings to a C++ library called GIPS. GIPS is built on top of GDAL and an image processing template library called CImg. GIPPY provides a similar, yet simpler interface than GDAL for opening, creating, and reading geospatial raster files. Convenience functions have been added to make common tasks achievable with fewer lines of code.
Most notably GIPPY adds image processing functionality on top of GDAL for easier automation of processing functions. The main objects in
SAM (Spectral Angle Mapper) Classification Question
By agraham1,
Hi Everybody- this is my first post!
I have a specific question regarding SAM and its usefulness in classifying multispectral imagery (not hyperspectral).
I am thinking of perhaps getting endmember data with a field spectrometer for different plant types, and then using the endmember data to classify a multispec. image.
However, how would this work? As the multispec sensor is only 5 narrow channels, (RGB, red edge and NIR) and the spectrometer would likely cover all of these channels. I
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