Commit 0bbf028e authored by Daniel Scheffler's avatar Daniel Scheffler
Browse files

Second package structure revision. Merged content of 'GeoMultiSens' package...

Second package structure revision. Merged content of 'GeoMultiSens' package into cookiecutter package.
parent 10090c7d
# http://editorconfig.org
root = true
[*]
indent_style = space
indent_size = 4
trim_trailing_whitespace = true
insert_final_newline = true
charset = utf-8
end_of_line = lf
[*.bat]
indent_style = tab
end_of_line = crlf
[LICENSE]
insert_final_newline = false
[Makefile]
indent_style = tab
* GeoMultiSens version:
* Python version:
* Operating System:
### Description
Describe what you were trying to get done.
Tell us what happened, what went wrong, and what you expected to happen.
### What I Did
```
Paste the command(s) you ran and the output.
If there was a crash, please include the traceback here.
```
# Byte-compiled / optimized / DLL files
__pycache__/
*.py[cod]
*$py.class
# C extensions
*.so
# Distribution / packaging
.Python
env/
build/
develop-eggs/
dist/
downloads/
eggs/
.eggs/
lib/
lib64/
parts/
sdist/
var/
*.egg-info/
.installed.cfg
*.egg
# PyInstaller
# Usually these files are written by a python script from a template
# before PyInstaller builds the exe, so as to inject date/other infos into it.
*.manifest
*.spec
# Installer logs
pip-log.txt
pip-delete-this-directory.txt
# Unit test / coverage reports
htmlcov/
.tox/
.coverage
.coverage.*
.cache
nosetests.xml
coverage.xml
*,cover
.hypothesis/
# Translations
*.mo
*.pot
# Django stuff:
*.log
# Sphinx documentation
docs/_build/
# PyBuilder
target/
# pyenv python configuration file
.python-version
/GeoMultiSens.py
.idea/
BAK/
......@@ -5,21 +69,21 @@ OLD/
database/cloud_classifier/
database/sampledata/
database/metadata/
database/tiling_system/
database/processed_data/
.ipynb_checkpoints/
__pycache__/
io/envi_io.py
testing/ENVIcompressed.bsq
testing/ENVIcompressed.hdr
testing/ENVIcompressed.worked.bsq
testing/ENVIcompressed.worked.hdr
testing/ENVIselfcompressed.bsq
testing/Landsat-8__OLI_TIRS__LC81930242016103LGN00__33UVT_L2C_selfcompressed.bsq
testing/Landsat-8__OLI_TIRS__LC81930242016103LGN00__33UVT_L2C_selfcompressed.hdr
testing/Landsat-8__OLI_TIRS__LC81930242016103LGN00__33UVT_L2C_selfcompressed.hdr.BAK
testing/Landsat-8__OLI_TIRS__LC81930242016119LGN00__32UPB_masks_L2C.bsq
testing/Landsat-8__OLI_TIRS__LC81930242016119LGN00__32UPB_masks_L2C.hdr
testing/Landsat-8__OLI_TIRS__LC81940242015091LGN00__32UNC_masks_L2C__compressed.bsq
testing/job_logs/
testing/meta_validation/
sandbox/ENVIcompressed.bsq
sandbox/ENVIcompressed.hdr
sandbox/ENVIcompressed.worked.bsq
sandbox/ENVIcompressed.worked.hdr
sandbox/ENVIselfcompressed.bsq
sandbox/Landsat-8__OLI_TIRS__LC81930242016103LGN00__33UVT_L2C_selfcompressed.bsq
sandbox/Landsat-8__OLI_TIRS__LC81930242016103LGN00__33UVT_L2C_selfcompressed.hdr
sandbox/Landsat-8__OLI_TIRS__LC81930242016103LGN00__33UVT_L2C_selfcompressed.hdr.BAK
sandbox/Landsat-8__OLI_TIRS__LC81930242016119LGN00__32UPB_masks_L2C.bsq
sandbox/Landsat-8__OLI_TIRS__LC81930242016119LGN00__32UPB_masks_L2C.hdr
sandbox/Landsat-8__OLI_TIRS__LC81940242015091LGN00__32UNC_masks_L2C__compressed.bsq
sandbox/job_logs/
sandbox/meta_validation/
# Config file for automatic testing at travis-ci.org
# This file will be regenerated if you run travis_pypi_setup.py
language: python
python: 3.5
env:
- TOXENV=py35
- TOXENV=py34
- TOXENV=py33
- TOXENV=py27
- TOXENV=py26
- TOXENV=pypy
# command to install dependencies, e.g. pip install -r requirements.txt --use-mirrors
install: pip install -U tox
# command to run tests, e.g. python setup.py test
script: tox -e ${TOXENV}
# After you create the Github repo and add it to Travis, run the
# travis_pypi_setup.py script to finish PyPI deployment setup
deploy:
provider: pypi
distributions: sdist bdist_wheel
user: danschef
password:
secure: PLEASE_REPLACE_ME
on:
tags: true
repo: danschef/geomultisens
condition: $TOXENV == py27
=======
Credits
=======
Development Lead
----------------
* Daniel Scheffler <daniel.scheffler@gfz-potsdam.de>
Contributors
------------
None yet. Why not be the first?
.. highlight:: shell
============
Contributing
============
Contributions are welcome, and they are greatly appreciated! Every
little bit helps, and credit will always be given.
You can contribute in many ways:
Types of Contributions
----------------------
Report Bugs
~~~~~~~~~~~
Report bugs at https://github.com/danschef/geomultisens/issues.
If you are reporting a bug, please include:
* Your operating system name and version.
* Any details about your local setup that might be helpful in troubleshooting.
* Detailed steps to reproduce the bug.
Fix Bugs
~~~~~~~~
Look through the GitHub issues for bugs. Anything tagged with "bug"
and "help wanted" is open to whoever wants to implement it.
Implement Features
~~~~~~~~~~~~~~~~~~
Look through the GitHub issues for features. Anything tagged with "enhancement"
and "help wanted" is open to whoever wants to implement it.
Write Documentation
~~~~~~~~~~~~~~~~~~~
GeoMultiSens could always use more documentation, whether as part of the
official GeoMultiSens docs, in docstrings, or even on the web in blog posts,
articles, and such.
Submit Feedback
~~~~~~~~~~~~~~~
The best way to send feedback is to file an issue at https://github.com/danschef/geomultisens/issues.
If you are proposing a feature:
* Explain in detail how it would work.
* Keep the scope as narrow as possible, to make it easier to implement.
* Remember that this is a volunteer-driven project, and that contributions
are welcome :)
Get Started!
------------
Ready to contribute? Here's how to set up `geomultisens` for local development.
1. Fork the `geomultisens` repo on GitHub.
2. Clone your fork locally::
$ git clone git@github.com:your_name_here/geomultisens.git
3. Install your local copy into a virtualenv. Assuming you have virtualenvwrapper installed, this is how you set up your fork for local development::
$ mkvirtualenv geomultisens
$ cd geomultisens/
$ python setup.py develop
4. Create a branch for local development::
$ git checkout -b name-of-your-bugfix-or-feature
Now you can make your changes locally.
5. When you're done making changes, check that your changes pass flake8 and the tests, including testing other Python versions with tox::
$ flake8 geomultisens tests
$ python setup.py test or py.test
$ tox
To get flake8 and tox, just pip install them into your virtualenv.
6. Commit your changes and push your branch to GitHub::
$ git add .
$ git commit -m "Your detailed description of your changes."
$ git push origin name-of-your-bugfix-or-feature
7. Submit a pull request through the GitHub website.
Pull Request Guidelines
-----------------------
Before you submit a pull request, check that it meets these guidelines:
1. The pull request should include tests.
2. If the pull request adds functionality, the docs should be updated. Put
your new functionality into a function with a docstring, and add the
feature to the list in README.rst.
3. The pull request should work for Python 2.6, 2.7, 3.3, 3.4 and 3.5, and for PyPy. Check
https://travis-ci.org/danschef/geomultisens/pull_requests
and make sure that the tests pass for all supported Python versions.
Tips
----
To run a subset of tests::
$ python -m unittest tests.test_geomultisens
=======
History
=======
0.1.0 (2017-05-23)
------------------
* First release on PyPI.
GNU GENERAL PUBLIC LICENSE
Version 3, 29 June 2007
GeoMultiSens - Scalable Multi-Sensor Analysis of Remote Sensing Data
Copyright (C) 2017 Daniel Scheffler
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program. If not, see <http://www.gnu.org/licenses/>.
Also add information on how to contact you by electronic and paper mail.
You should also get your employer (if you work as a programmer) or school,
if any, to sign a "copyright disclaimer" for the program, if necessary.
For more information on this, and how to apply and follow the GNU GPL, see
<http://www.gnu.org/licenses/>.
The GNU General Public License does not permit incorporating your program
into proprietary programs. If your program is a subroutine library, you
may consider it more useful to permit linking proprietary applications with
the library. If this is what you want to do, use the GNU Lesser General
Public License instead of this License. But first, please read
<http://www.gnu.org/philosophy/why-not-lgpl.html>.
include AUTHORS.rst
include CONTRIBUTING.rst
include HISTORY.rst
include LICENSE
include README.rst
recursive-include tests *
recursive-exclude * __pycache__
recursive-exclude * *.py[co]
recursive-include docs *.rst conf.py Makefile make.bat *.jpg *.png *.gif
.PHONY: clean clean-test clean-pyc clean-build docs help
.DEFAULT_GOAL := help
define BROWSER_PYSCRIPT
import os, webbrowser, sys
try:
from urllib import pathname2url
except:
from urllib.request import pathname2url
webbrowser.open("file://" + pathname2url(os.path.abspath(sys.argv[1])))
endef
export BROWSER_PYSCRIPT
define PRINT_HELP_PYSCRIPT
import re, sys
for line in sys.stdin:
match = re.match(r'^([a-zA-Z_-]+):.*?## (.*)$$', line)
if match:
target, help = match.groups()
print("%-20s %s" % (target, help))
endef
export PRINT_HELP_PYSCRIPT
BROWSER := python -c "$$BROWSER_PYSCRIPT"
help:
@python -c "$$PRINT_HELP_PYSCRIPT" < $(MAKEFILE_LIST)
clean: clean-build clean-pyc clean-test ## remove all build, test, coverage and Python artifacts
clean-build: ## remove build artifacts
rm -fr build/
rm -fr dist/
rm -fr .eggs/
find . -name '*.egg-info' -exec rm -fr {} +
find . -name '*.egg' -exec rm -f {} +
clean-pyc: ## remove Python file artifacts
find . -name '*.pyc' -exec rm -f {} +
find . -name '*.pyo' -exec rm -f {} +
find . -name '*~' -exec rm -f {} +
find . -name '__pycache__' -exec rm -fr {} +
clean-test: ## remove test and coverage artifacts
rm -fr .tox/
rm -f .coverage
rm -fr htmlcov/
lint: ## check style with flake8
flake8 geomultisens tests
test: ## run tests quickly with the default Python
python setup.py test
test-all: ## run tests on every Python version with tox
tox
coverage: ## check code coverage quickly with the default Python
coverage run --source geomultisens setup.py test
coverage report -m
coverage html
$(BROWSER) htmlcov/index.html
docs: ## generate Sphinx HTML documentation, including API docs
rm -f docs/geomultisens.rst
rm -f docs/modules.rst
sphinx-apidoc -o docs/ geomultisens
$(MAKE) -C docs clean
$(MAKE) -C docs html
$(BROWSER) docs/_build/html/index.html
servedocs: docs ## compile the docs watching for changes
watchmedo shell-command -p '*.rst' -c '$(MAKE) -C docs html' -R -D .
release: clean ## package and upload a release
python setup.py sdist upload
python setup.py bdist_wheel upload
dist: clean ## builds source and wheel package
python setup.py sdist
python setup.py bdist_wheel
ls -l dist
install: clean ## install the package to the active Python's site-packages
python setup.py install
============
GeoMultiSens
============
.. image:: https://img.shields.io/pypi/v/geomultisens.svg
:target: https://pypi.python.org/pypi/geomultisens
.. image:: https://img.shields.io/travis/danschef/geomultisens.svg
:target: https://travis-ci.org/danschef/geomultisens
.. image:: https://readthedocs.org/projects/geomultisens/badge/?version=latest
:target: https://geomultisens.readthedocs.io/en/latest/?badge=latest
:alt: Documentation Status
.. image:: https://pyup.io/repos/github/danschef/geomultisens/shield.svg
:target: https://pyup.io/repos/github/danschef/geomultisens/
:alt: Updates
GeoMultiSens - Scalable Multi-Sensor Analysis of Remote Sensing Data
* Free software: GNU General Public License v3
* Documentation: https://geomultisens.readthedocs.io.
Features
--------
* TODO
Credits
---------
This package was created with Cookiecutter_ and the `audreyr/cookiecutter-pypackage`_ project template.
.. _Cookiecutter: https://github.com/audreyr/cookiecutter
.. _`audreyr/cookiecutter-pypackage`: https://github.com/audreyr/cookiecutter-pypackage
32 1 1 x Landsat-7_ETM+_SAM 41.95155644416809 43.35508155822754 43.35993528366089 44.06782245635986 43.757914304733276 43.158263206481934 43.27375841140747 43.38907480239868 43.63035869598389 43.73314356803894 31.494808435440063 33.056679010391235 32.590983629226685 32.59230637550354 32.614137172698975 32.45976114273071 32.57878541946411 32.59086322784424 32.66739201545715 32.76378774642944 41.95155644416809 43.35508155822754 43.35993528366089 44.06782245635986 43.757914304733276 43.158263206481934 43.27375841140747 43.38907480239868 43.63035869598389 43.73314356803894
32 2 2 x Landsat-7_ETM+_SAM 57.97424268722534 60.342873334884644 60.288636922836304 60.318177700042725 61.0801043510437 59.6991970539093 60.88762545585632 59.63194704055786 59.17969250679016 61.13714408874512 38.534350633621216 40.55904984474182 40.59333634376526 40.57497549057007 40.80417323112488 40.18620562553406 40.272764444351196 39.115253925323486 39.01777768135071 40.425312757492065 28.98712134361267 30.171436667442322 30.144318461418152 30.159088850021362 30.54005217552185 29.84959852695465 30.44381272792816 29.81597352027893 29.58984625339508 30.56857204437256
32 3 3 x Landsat-7_ETM+_SAM 77.79020047187805 76.54857683181763 74.26480317115784 77.49488115310669 76.70643520355225 76.86084628105164 74.64663457870483 74.45847630500793 74.4293794631958 72.90522885322571 48.6875958442688 46.999311447143555 46.01233720779419 48.46801137924194 48.05545425415039 46.921791553497314 46.0849609375 45.848388671875 45.87953853607178 44.478689193725586 25.93006682395935 25.51619227727254 24.754934390385944 25.831627051035564 25.568811734517414 25.62028209368388 24.882211526234943 24.81949210166931 24.8097931543986 24.301742951075237
32 4 4 x Landsat-7_ETM+_SAM 85.63301920890808 88.8745629787445 89.75988149642944 87.96623969078064 87.75058007240295 87.64060688018799 86.66696095466614 88.23190903663635 88.00245141983032 90.24184441566467 49.32612657546997 51.84712505340576 53.45637917518616 51.69750189781189 51.13677000999451 51.38697862625122 50.48427104949951 50.984970569610596 51.40219855308533 53.392030239105225 21.40825480222702 22.218640744686127 22.43997037410736 21.99155992269516 21.93764501810074 21.910151720046997 21.666740238666534 22.057977259159088 22.00061285495758 22.560461103916168
32 5 5 x Landsat-7_ETM+_SAM 102.30864453315735 104.69149374961853 104.44438862800598 104.28788924217224 107.15006852149963 102.3190553188324 103.92103624343872 102.15221285820007 103.883784532547 99.42984247207642 58.407047510147095 60.62275958061218 58.52332592010498 59.49665951728821 61.4976761341095 57.23815941810608 59.632416009902954 57.634634494781494 58.07727074623108 55.41474533081055 20.46172890663147 20.938298749923707 20.888877725601198 20.85757784843445 21.430013704299927 20.463811063766478 20.784207248687743 20.430442571640015 20.776756906509398 19.885968494415284
32 6 6 x Landsat-7_ETM+_SAM 114.40099787712097 117.19278025627136 116.15302395820618 118.81062459945679 120.16189432144165 119.3376829624176 116.95331048965454 118.44665384292603 117.28871488571167 116.47036910057068 61.38097286224365 63.642831802368164 62.761913776397705 65.39842081069946 66.10295605659485 66.03879857063293 64.3986599445343 66.07733058929443 63.893882274627686 64.53265333175659 19.06683297952016 19.532130042711895 19.358837326367695 19.80177076657613 20.02698238690694 19.8896138270696 19.492218414942425 19.741108973821003 19.54811914761861 19.411728183428448
32 7 7 x Landsat-7_ETM+_SAM 132.14947509765625 134.65296292304993 136.77131819725037 133.8149390220642 131.21232271194458 133.15257787704468 133.94481015205383 133.54314589500427 132.36578941345215 131.67765760421753 69.553382396698 71.2752513885498 75.05228662490845 71.58919143676758 68.89971804618835 71.56707239151001 71.996737241745 72.16637372970581 69.96581840515137 70.24549913406372 18.878496442522323 19.236137560435704 19.53875974246434 19.116419860294886 18.744617530277797 19.02179683957781 19.134972878864833 19.077592270714895 18.90939848763602 18.811093943459646
32 8 8 x Landsat-7_ETM+_SAM 146.51110649108887 151.37183094024658 144.6071059703827 146.8061842918396 147.62329292297363 147.35808420181274 146.86823344230652 148.00616264343262 148.71160888671875 150.99089217185974 76.16529750823975 80.77813911437988 74.1745331287384 75.68126440048218 76.84177350997925 75.98271775245667 76.04341125488281 77.47214245796204 78.72152876853943 79.90640640258789 18.31388831138611 18.921478867530823 18.075888246297836 18.35077303647995 18.452911615371704 18.419760525226593 18.358529180288315 18.500770330429077 18.588951110839844 18.873861521482468
32 9 9 x Landsat-7_ETM+_SAM 164.51624202728271 168.7402367591858 161.73859786987305 170.9527084827423 166.0095512866974 166.98914527893066 171.0642867088318 169.2006368637085 163.9933385848999 165.43513894081116 84.26268219947815 86.96856498718262 81.64592742919922 88.82574653625488 86.08474802970886 87.32636213302612 90.90511512756348 89.45407557487488 83.35411500930786 85.44116401672363 18.279582447475857 18.748915195465088 17.970955318874783 18.994745386971367 18.44550569852193 18.55434947543674 19.007142967647976 18.800070762634277 18.221482064988876 18.381682104534573
32 10 10 x Landsat-7_ETM+_SAM 181.20993614196777 179.4556131362915 180.60689735412598 181.50131225585938 182.49351382255554 182.81072902679443 183.9544289112091 182.35134196281433 179.8414487838745 183.83651041984558 93.09137201309204 89.99595332145691 91.95164704322815 91.83188152313232 93.30233383178711 92.77820372581482 94.91727113723755 93.50563335418701 89.61240839958191 95.29173707962036 18.120993614196777 17.94556131362915 18.0606897354126 18.150131225585938 18.249351382255554 18.281072902679444 18.39544289112091 18.235134196281432 17.98414487838745 18.383651041984557
32 11 11 x Landsat-7_ETM+_SAM 195.56581282615662 198.74355840682983 199.2367479801178 198.88746047019958 198.7822380065918 199.37562084197998 198.6560127735138 196.4728066921234 199.93231630325317 200.34298849105835 96.87264347076416 99.33215260505676 100.22639608383179 101.16162323951721 100.3338086605072 99.98217129707336 99.83532428741455 97.92983794212341 101.22225546836853 101.3605682849884 17.77871025692333 18.067596218802713 18.112431634556163 18.0806782245636 18.0711125460538 18.12505644018 18.05963752486489 17.861164244738493 18.17566511847756 18.212998953732576
32 12 12 x Landsat-7_ETM+_SAM 213.67451763153076 217.82926297187805 208.3015160560608 210.5010597705841 214.98667454719543 216.79867672920227 216.40868830680847 211.97465348243713 212.28475975990295 209.64672327041626 105.9491982460022 109.66890406608582 101.35365557670593 103.43935632705688 106.5692732334137 108.27652525901794 107.57069039344788 103.71438908576965 105.36771297454834 102.68733882904053 17.806209802627563 18.152438580989838 17.358459671338398 17.541754980882008 17.915556212266285 18.06655639410019 18.034057358900707 17.664554456869762 17.69039664665858 17.470560272534687
32 13 13 x Landsat-7_ETM+_SAM 227.23902940750122 225.51117324829102 233.92543578147888 229.74101424217224 229.01886343955994 230.5135042667389 231.27586245536804 226.98544049263 229.5429491996765 230.49568819999695 110.88466930389404 109.0729718208313 116.95175814628601 113.88960003852844 112.31298470497131 114.37633991241455 113.4107985496521 109.79529571533203 113.4223222732544 114.56307721138 17.479925339038555 17.34701332679162 17.99426429088299 17.672385710936325 17.61683564919692 17.731808020518375 17.790450958105232 17.46041849943308 17.657149938436653 17.73043755384592
32 14 14 x Landsat-7_ETM+_SAM 245.05289721488953 249.58404970169067 251.46506094932556 245.13467955589294 246.94325590133667 245.5775589942932 242.71689224243164 246.37944865226746 241.57007026672363 243.29482221603394 119.71255946159363 122.8112382888794 123.97162365913391 120.42023134231567 121.86152601242065 120.87789630889893 118.14358353614807 121.66723775863647 116.7783555984497 119.31350183486938 17.50377837249211 17.827432121549332 17.96179006780897 17.509619968278066 17.63880399295262 17.541254213878087 17.336920874459402 17.59853204659053 17.255005019051687 17.378201586859568
32 15 15 x Landsat-7_ETM+_SAM 250.14620232582092 250.78652620315552 257.98487877845764 258.89363837242126 258.6786193847656 260.7583031654358 256.72993779182434 257.77327394485474 254.48713970184326 260.1953070163727 117.93314337730408 118.14138674736023 124.57894372940063 123.79555463790894 123.91623330116272 127.3930721282959 123.003427028656 122.82084846496582 119.02802586555481 124.34127712249756 16.67641348838806 16.719101746877033 17.19899191856384 17.25957589149475 17.245241292317708 17.38388687769572 17.115329186121624 17.18488492965698 16.965809313456216 17.346353801091514
32 16 16 x Landsat-7_ETM+_SAM 275.13890409469604 275.2147514820099 271.74779438972473 267.97847843170166 270.1163504123688 275.21554613113403 271.51598954200745 268.80779790878296 271.55109095573425 271.9865379333496 133.0388560295105 132.08078360557556 130.38550996780396 126.45206117630005 128.72403526306152 128.5614411830902 128.36013650894165 127.37581491470337 129.37888193130493 128.7537932395935 17.196181505918503 17.200921967625618 16.984237149357796 16.748654901981354 16.88227190077305 17.200971633195877 16.969749346375465 16.800487369298935 16.97194318473339 16.99915862083435
32 17 17 x Landsat-7_ETM+_SAM 283.84903502464294 285.9038972854614 296.4693672657013 283.69877767562866 285.78746509552 286.27009320259094 285.91397166252136 285.09000039100647 283.54395031929016 287.15463876724243 132.84958410263062 133.7559952735901 143.88283252716064 133.80214309692383 134.5290162563324 136.1539444923401 132.04671716690063 135.58929252624512 131.92905592918396 135.25473165512085 16.697002060273114 16.817876310909497 17.439374545041254 16.68816339268404 16.81102735856 16.83941724721123 16.818468921324786 16.77000002300038 16.679055901134717 16.891449339249554
32 18 18 x Landsat-7_ETM+_SAM 294.12978506088257 300.4438683986664 305.30522990226746 301.51188683509827 302.3648874759674 302.4790725708008 297.96466040611267 298.43735218048096 304.01903533935547 299.7514488697052 134.3860375881195 141.4630570411682 143.6712350845337 138.84835052490234 144.21835899353027 143.9788796901703 139.04079461097717 141.9857954978943 143.48419427871704 142.70783638954163 16.340543614493477 16.691326022148132 16.96140166123708 16.75066037972768 16.798049304220413 16.804392920600044 16.55359224478404 16.579852898915608 16.88994640774197 16.652858270539177
32 19 19 x Landsat-7_ETM+_SAM 315.29573369026184 318.73396468162537 315.182578086853 316.3570177555084 316.2372360229492 310.0291500091553 316.79461669921875 322.84353709220886 316.9506106376648 321.21322560310364 148.60046195983887 148.45539617538452 147.42501282691956 147.62162852287292 147.1509337425232 142.38283348083496 149.02357625961304 154.25894284248352 147.83365535736084 152.5681562423706 16.594512299487466 16.775471825348703 16.588556741413317 16.650369355553075 16.644065053839434 16.317323684692383 16.67340087890625 16.991765110116255 16.681611086192884 16.90595924226861
32 20 20 x Landsat-7_ETM+_SAM 327.21963572502136 333.65912103652954 328.7932827472687 330.4383382797241 333.2391839027405 328.75608110427856 328.201504945755 326.7141761779785 330.6922650337219 331.58673334121704 150.2001929283142 155.727534532547 150.28101754188538 153.47914862632751 157.46649599075317 149.3039093017578 151.84884428977966 150.59471035003662 154.00635743141174 155.69278597831726 16.360981786251067 16.682956051826476 16.439664137363433 16.521916913986207 16.661959195137023 16.437804055213928 16.41007524728775 16.335708808898925 16.534613251686096 16.57933666706085
32 21 21 x Landsat-7_ETM+_SAM 341.7067196369171 348.14588737487793 345.13263607025146 345.74378871917725 346.7510778903961 344.541663646698 355.4118604660034 347.6620090007782 348.21048164367676 351.56387186050415 155.81189370155334 162.80956864356995 159.99875831604004 158.35606980323792 160.3001046180725 160.7209415435791 169.427729845047 162.64750242233276 159.20986771583557 164.53930401802063 16.27174855413891 16.5783755892799 16.434887431916735 16.46398993900844 16.511956090018863 16.406745887938 16.924374307904923 16.555333761941817 16.581451506841752 16.7411367552621
32 22 22 x Landsat-7_ETM+_SAM 358.26517128944397 362.67426586151123 361.51666021347046 359.9913218021393 364.818053483963 360.8862805366516 359.2005021572113 359.0889756679535 356.5649392604828 362.94714546203613 163.63582277297974 170.66799664497375 168.37188339233398 166.32694149017334 171.86889815330505 169.84215188026428 164.8463442325592 167.39565110206604 165.4821662902832 167.87668871879578 16.284780513156544 16.485193902795967 16.432575464248657 16.36324190009724 16.582638794725593 16.403921842575073 16.327295552600514 16.32222616672516 16.207497239112854 16.49759752100164
32 23 23 x Landsat-7_ETM+_SAM 379.56271290779114 384.9994375705719 377.99728083610535 383.271244764328 379.17551469802856 376.3694324493408 378.5020136833191 387.88882517814636 374.5759871006012 374.887610912323 178.9561252593994 183.38150548934937 171.61722779273987 181.9208037853241 174.3526575565338 170.57519006729126 177.01797771453857 183.7108952999115 170.77994346618652 170.4230194091797 16.50272664816483 16.739105981329214 16.434664384178493 16.663967163666435 16.485891943392545 16.363888367362645 16.45660929057909 16.864731529484626 16.285912482634835 16.299461344014045
32 24 24 x Landsat-7_ETM+_SAM 395.2956483364105 392.95322918891907 399.86270451545715 391.45231795310974 396.4680333137512 403.15570521354675 396.8838210105896 392.67442059516907 391.4504442214966 396.89935660362244 182.9298231601715 179.215416431427 187.28185033798218 180.03529691696167 183.25354194641113 190.55734968185425 183.8908076286316 180.43809866905212 178.41953420639038 182.96141147613525 16.470652014017105 16.37305121620496 16.660946021477383 16.310513248046238 16.519501388072968 16.79815438389778 16.536825875441235 16.361434191465378 16.31043517589569 16.5374731918176
32 25 25 x Landsat-7_ETM+_SAM 405.2298638820648 405.6647324562073 410.9619264602661 411.83192229270935 409.0937955379486 413.75634694099426 407.8187253475189 413.73173785209656 402.2230978012085 413.75950026512146 183.4161205291748 186.34457087516785 189.4077069759369 187.80499053001404 185.7166404724121 194.60407209396362 187.0732069015503 193.30195331573486 184.111807346344 191.86257457733154 16.209194555282593 16.226589298248292 16.438477058410644 16.473276891708373 16.363751821517944 16.550253877639772 16.312749013900756 16.54926951408386 16.08892391204834 16.550380010604858
32 26 26 x Landsat-7_ETM+_SAM 428.7948155403137 440.4575181007385 434.9434905052185 427.17237186431885 444.0976185798645 429.5806677341461 436.7813575267792 442.4794912338257 442.1584675312042 438.3369472026825 199.2539038658142 205.60003685951233 198.6572597026825 194.35693407058716 210.31838607788086 196.7718677520752 202.54163932800293 207.85033440589905 207.64222192764282 205.47708296775818 16.492108290012066 16.940673773105328 16.72859578866225 16.42970661016611 17.080677637687096 16.522333374390236 16.799282981799198 17.018441970531757 17.006094905046318 16.859113353949326
32 27 27 x Landsat-7_ETM+_SAM 442.41930317878723 453.5917785167694 454.0777659416199 456.25608086586 447.7269780635834 443.7329571247101 441.47997307777405 442.42953300476074 449.3602352142334 450.9992301464081 200.8905050754547 213.08391976356506 213.79455876350403 218.30835509300232 207.0623164176941 204.58385944366455 201.11138319969177 200.72619318962097 205.70771145820618 208.3712034225464 16.38590011773286 16.799695500621088 16.81769503487481 16.89837336540222 16.582480669021606 16.434553967581856 16.35111011399163 16.386279000176323 16.642971674601238 16.703675190607708
32 28 28 x Landsat-7_ETM+_SAM 474.76737666130066 466.6322557926178 482.26024985313416 457.851336479187 466.5276069641113 478.1861186027527 477.55691623687744 462.745156288147 464.8084192276001 470.35169672966003 224.65562415122986 216.3090283870697 230.72659063339233 207.10073590278625 215.7058835029602 226.75591850280762 228.98110032081604 212.46671223640442 215.09628295898438 219.41129755973816 16.955977737903595 16.665437706879207 17.22358035189765 16.35183344568525 16.66170024871826 17.078075664384023 17.055604151317052 16.526612724576676 16.600300686700002 16.798274883202144
32 29 29 x Landsat-7_ETM+_SAM 474.4880163669586 485.06836104393005 487.85704612731934 482.4341185092926 493.15929412841797 485.9000804424286 487.1861593723297 489.58143424987793 489.1744375228882 483.57467889785767 215.45917224884033 227.12767815589905 232.03036379814148 225.2242693901062 231.93533778190613 225.27887558937073 229.32187223434448 233.58195233345032 232.63505816459656 223.06880140304565 16.361655736791676 16.726495208411382 16.82265676301101 16.635659258941125 17.00549290097993 16.755175187669952 16.799522736976886 16.882118422409583 16.868084052513385 16.674988927512334
32 30 30 x Landsat-7_ETM+_SAM 495.32199215888977 516.1675400733948 498.8432295322418 509.0482931137085 495.6570131778717 505.77569127082825 505.01420068740845 503.17061495780945 495.1405391693115 510.87643480300903 229.1760015487671 247.61914134025574 229.49212908744812 240.7982439994812 228.96634674072266 236.75306010246277 235.30564498901367 233.97186708450317 228.15706849098206 242.31039762496948 16.510733071962992 17.205584669113158 16.62810765107473 16.968276437123617 16.52190043926239 16.859189709027607 16.833806689580282 16.77235383192698 16.50468463897705 17.029214493433635
32 31 31 x Landsat-7_ETM+_SAM 527.3274433612823 511.1614556312561 524.4631423950195 511.2555322647095 502.21753764152527 502.0297636985779 511.0547173023224 500.20625925064087 499.96711921691895 499.53777265548706 251.12624883651733 236.53450465202332 249.8582615852356 232.29857850074768 225.84885096549988 226.5101318359375 231.9234139919281 225.52867937088013 223.10150718688965 221.91467547416687 17.010562689073623 16.489079213911488 16.91816588371031 16.492113944022886 16.200565730371782 16.19450850640574 16.4856360420104 16.13568578227874 16.127971587642545 16.114121698564098
32 32 32 x Landsat-7_ETM+_SAM 508.70301485061646 518.9254674911499 511.77822160720825 520.4922485351562 521.9743490219116 515.2152209281921 518.1930570602417 526.6371715068817 521.8658521175385 517.8779079914093 226.74411153793335 238.6140947341919 226.45510721206665 233.84215712547302 237.60266041755676 231.01710104942322 233.85682272911072 241.52433061599731 237.7608687877655 230.16681504249573 15.896969214081764 16.216420859098434 15.993069425225258 16.265382766723633 16.311698406934738 16.100475654006004 16.193533033132553 16.457411609590054 16.308307878673077 16.18368462473154
32 33 33 x Landsat-7_ETM+_SAM 546.9303956031799 550.0995876789093 550.3335025310516 546.2806296348572 549.3714373111725 555.2755019664764 568.4949953556061 554.9669201374054 556.2548453807831 553.6674499511719 250.96359157562256 254.22315764427185 251.98365807533264 251.34581685066223 253.4869248867035 258.015264749527 270.2349736690521 258.3707609176636 262.28361344337463 262.57871103286743 16.573648351611514 16.669684475118462 16.67677280397126 16.553958473783553 16.64761931245977 16.8265303626205 17.227121071382 16.817179398103193 16.856207435781304 16.777801513671875
32 34 34 x Landsat-7_ETM+_SAM 566.766407251358 574.7877171039581 568.7921741008759 573.633282661438 580.0805702209473 583.0417399406433 580.5761890411377 577.9273176193237 568.4957735538483 576.0218539237976 266.02097153663635 270.9424924850464 264.1272060871124 273.26511096954346 271.07873129844666 274.0045428276062 269.5071129798889 272.43047046661377 265.95772886276245 275.1623787879944 16.669600213275235 16.905521091292886 16.72918159120223 16.871567137101117 17.061193241792566 17.14828646884245 17.075770265915814 16.997862282921286 16.72046392805436 16.941819233052872
32 35 35 x Landsat-7_ETM+_SAM 599.1990942955017 598.7615487575531 592.5606338977814 576.6122391223907 593.3285689353943 584.932213306427 582.7681686878204 577.6100175380707 605.0190479755402 587.4578194618225 285.69192695617676 285.2565288543701 276.663081407547 263.6007685661316 279.7860448360443 272.56127882003784 271.84943556785583 269.6415481567383 294.51359844207764 272.85176396369934 17.11997412272862 17.107472821644375 16.930303825650896 16.47463540349688 16.95224482672555 16.7123489516122 16.6505191053663 16.50314335823059 17.286258513586862 16.784509127480643
32 36 36 x Landsat-7_ETM+_SAM 600.6448414325714 603.3027424812317 602.3471007347107 618.6775841712952 611.1216764450073 607.5506436824799 617.6415884494781 609.3315637111664 612.4498000144958 618.6538076400757 278.3687741756439 283.42340874671936 281.98799085617065 294.8315095901489 292.02857732772827 283.00442361831665 295.55060863494873 285.8010964393616 291.58551263809204 296.28579115867615 16.68457892868254 16.758409513367546 16.73186390929752 17.185488449202644 16.975602123472427 16.876406768957775 17.156710790263283 16.925876769754623 17.012494444847107 17.184827990002102
32 37 37 x Landsat-7_ETM+_SAM 626.7414581775665 630.5054650306702 620.5292191505432 610.3018507957458 618.0913226604462 619.430926322937 617.3171274662018 613.5812981128693 604.8788261413574 619.0863797664642 295.03390669822693 300.8419325351715 293.3500392436981 284.23234248161316 291.4518265724182 289.70133781433105 284.52371644973755 284.82278180122375 279.84785175323486 291.2439615726471 16.93895832912342 17.040688244072168 16.77105997704171 16.49464461610124 16.70517088271476 16.741376387106406 16.684246688275724 16.583278327374845 16.348076382198848 16.732064318012547
32 38 38 x Landsat-7_ETM+_SAM 637.5335261821747 634.2210261821747 642.0434732437134 640.8490040302277 628.3736157417297 633.7606067657471 646.642083644867 623.7145154476166 635.1791923046112 642.1280539035797 297.04053831100464 295.7058136463165 303.73443150520325 305.25339365005493 290.1263189315796 296.57176971435547 307.08767104148865 289.22929978370667 294.38171672821045 299.8811864852905 16.77719805742565 16.69002700479407 16.895880874834564 16.864447474479675 16.536147782677098 16.677910704361764 17.016896938022814 16.413539880200435 16.715241902752926 16.898106681673152
32 39 39 x Landsat-7_ETM+_SAM 666.8560461997986 661.9040853977203 657.3698563575745 656.2979531288147 657.8958406448364 656.2831945419312 660.9368040561676 657.0788743495941 657.7200698852539 653.6319835186005 316.7527937889099 315.01732659339905 311.025981426239 308.12339329719543 309.7741632461548 305.8508975505829 313.5109763145447 307.3206422328949 306.6036081314087 309.2979600429535 17.098872979482014 16.971899625582573 16.85563734250191 16.828152644328583 16.86912411909837 16.827774219023876 16.947097539901733 16.848176265374207 16.86461717654497 16.759794449194885
32 40 40 x Landsat-7_ETM+_SAM 672.194908618927 664.0168237686157 667.9892303943634 680.8239455223083 676.9705617427826 679.125914812088 670.4404537677765 679.2480521202087 680.1294269561768 675.4775512218475 315.0732138156891 308.71287536621094 312.20742630958557 319.0847976207733 320.06396889686584 326.15756392478943 313.69301414489746 319.92321610450745 324.3487193584442 314.92805528640747 16.804872715473174 16.600420594215393 16.699730759859087 17.02059863805771 16.924264043569565 16.9781478703022 16.76101134419441 16.981201303005218 17.00323567390442 16.88693878054619
32 41 41 x Landsat-7_ETM+_SAM 713.0088851451874 701.6721160411835 703.5416464805603 708.650737285614 716.3809208869934 682.2376427650452 669.7100541591644 680.0210464000702 685.7454617023468 672.8166124820709 349.043598651886 340.0161817073822 337.09035086631775 343.9345438480377 351.73217129707336 314.51824426651 309.8639762401581 319.0394620895386 317.1422960758209 306.65593552589417 17.390460613297254 17.11395404978496 17.1595523531844 17.284164324039367 17.472705387487643 16.639942506464518 16.33439156485767 16.585879180489517 16.7254990659109 16.41016128005051
#!/bin/sh
#
newgrp - gfz-fe
## set environment variables
# extent PATH
#PATH=/home/gfz-fe/anaconda3/bin:$PATH
PFX=/home/gfz-fe/anaconda3_2.4.1
OLD_PATH=$PATH
PATH=${PFX}/bin:${PFX}/lib/python35.zip:${PFX}/lib/python3.5:${PFX}/lib/python3.5/plat-linux:${PFX}/lib/python3.5/lib-dynload:${PFX}/lib/python3.5/site-packages/Sphinx-1.3.1-py3.5.egg:${PFX}/lib/python3.5/site-packages/setuptools-18.5-py3.5.egg:${PFX}/lib/python3.5/site-packages:${PFX}/lib/python3.5/site-packages/cryptography-1.0.2-py3.5-linux-x86_64.egg:${PFX}/lib/python3.5/site-packages/IPython/extensions:/home/gfz-fe/.ipython
PATH=$PATH:${OLD_PATH}
#PATH= /usr/local64/hdf/h4h5tools-2.2.2-linux-x86_64-static/bin:$PATH # HDF4>HDF5-Konverter -> auf geoms bisher nicht installiert
export PATH
# set pythonpath
export PYTHONPATH=${PFX}/lib/python3.5/site-packages
export PATH=${PYTHONPATH}:${PATH}
# set gdal and ld_lib
export GDAL_DATA=${PFX}/share/gdal
export LD_LIBRARY_PATH=${PFX}/lib
export LD_LIBRARY_PATH=${PFX}/fftw3f-3.3.4-2/include:${PFX}/fftw3f-3.3.4-2/lib${LD_LIBRARY_PATH}
#export LD_LIBRARY_PATH=$PFX/pkgs/hdf4-4.2.11-2/lib:$LD_LIBRARY_PATH # verhindert sehr hardcodiert ImportError: libmfhdf.so.0: cannot open shared object file: No such file or directory
# execute python script
python -m run_gms.py "$@"
#python scenes_jobs_dbaccess.py "$@"
# -*- coding: utf-8 -*-
__author__='Daniel Scheffler'
import argparse
import sys
import warnings
import argparse
import sys
import warnings
import matplotlib
import matplotlib
matplotlib.use('Agg', warn=False) # switch matplotlib backend to 'Agg' and disable warning in case its already 'Agg'
matplotlib.use('Agg', warn=False) # switch matplotlib backend to 'Agg' and disable warning in case its already 'Agg'
from geomultisens import process_controller, __version__
from geomultisens import GMS_JOB
from geomultisens.misc.database_tools import GMS_JOB
def run_from_jobid(args):
......
# Makefile for Sphinx documentation
#
# You can set these variables from the command line.
SPHINXOPTS =
SPHINXBUILD = sphinx-build
PAPER =
BUILDDIR = _build
# User-friendly check for sphinx-build
ifeq ($(shell which $(SPHINXBUILD) >/dev/null 2>&1; echo $$?), 1)
$(error The '$(SPHINXBUILD)' command was not found. Make sure you have Sphinx installed, then set the SPHINXBUILD environment variable to point to the full path of the '$(SPHINXBUILD)' executable. Alternatively you can add the directory with the executable to your PATH. If you don't have Sphinx installed, grab it from http://sphinx-doc.org/)
endif
# Internal variables.
PAPEROPT_a4 = -D latex_paper_size=a4
PAPEROPT_letter = -D latex_paper_size=letter
ALLSPHINXOPTS = -d $(BUILDDIR)/doctrees $(PAPEROPT_$(PAPER)) $(SPHINXOPTS) .
# the i18n builder cannot share the environment and doctrees with the others
I18NSPHINXOPTS = $(PAPEROPT_$(PAPER)) $(SPHINXOPTS) .
.PHONY: help clean html dirhtml singlehtml pickle json htmlhelp qthelp devhelp epub latex latexpdf text man changes linkcheck doctest gettext
help:
@echo "Please use \`make <target>' where <target> is one of"
@echo " html to make standalone HTML files"
@echo " dirhtml to make HTML files named index.html in directories"
@echo " singlehtml to make a single large HTML file"
@echo " pickle to make pickle files"
@echo " json to make JSON files"
@echo " htmlhelp to make HTML files and a HTML help project"
@echo " qthelp to make HTML files and a qthelp project"
@echo " devhelp to make HTML files and a Devhelp project"
@echo " epub to make an epub"