Replaced deprecated HTTP links. Updated version info.

Signed-off-by: Daniel Scheffler <[email protected]>

.zenodo.json

@@ -28,7 +28,7 @@
         },
         {
             "scheme": "url",
-            "identifier": "http://geomultisens.gitext.gfz-potsdam.de/spechomo/doc",
+            "identifier": "https://geomultisens.gitext-pages.gfz-potsdam.de/spechomo/doc",
             "relation": "isDocumentedBy",
             "resource_type": "publication-softwaredocumentation"
         },

HISTORY.rst

@@ -2,6 +2,12 @@
 History
 =======
 
+0.6.5 (2020-09-15)
+------------------
+
+* Replaced deprecated HTTP links.
+
+
 0.6.4 (2020-04-09)
 ------------------
 

README.rst

@@ -3,7 +3,7 @@ SpecHomo - Spectral homogenization of multispectral satellite data
 ==================================================================
 
 * Free software: GNU General Public License v3
-* **Documentation:** http://geomultisens.gitext.gfz-potsdam.de/spechomo/doc/
+* **Documentation:** https://geomultisens.gitext-pages.gfz-potsdam.de/spechomo/doc/
 * The **paper** corresponding to this software repository can be found here:
   `Scheffler et al. 2020 <https://doi.org/10.1016/j.rse.2020.111723>`__ (cite as:
   Scheffler D., Frantz D., Segl K. (2020). Spectral harmonization and red edge prediction of Landsat-8 to Sentinel-2
@@ -36,9 +36,9 @@ Status
 .. image:: https://gitext.gfz-potsdam.de/geomultisens/spechomo/badges/master/pipeline.svg
         :target: https://gitext.gfz-potsdam.de/geomultisens/spechomo/commits/master
 .. image:: https://gitext.gfz-potsdam.de/geomultisens/spechomo/badges/master/coverage.svg
-        :target: http://geomultisens.gitext.gfz-potsdam.de/spechomo/coverage/
+        :target: https://geomultisens.gitext-pages.gfz-potsdam.de/spechomo/coverage/
 .. image:: https://img.shields.io/static/v1?label=Documentation&message=GitLab%20Pages&color=orange
-        :target: http://geomultisens.gitext.gfz-potsdam.de/spechomo/doc/
+        :target: https://geomultisens.gitext-pages.gfz-potsdam.de/spechomo/doc/
 .. .. image:: https://img.shields.io/pypi/v/spechomo.svg
         :target: https://pypi.python.org/pypi/spechomo
 .. .. image:: https://img.shields.io/pypi/l/spechomo.svg
@@ -94,7 +94,7 @@ may also train your own homogenization classifiers specifically optimized to you
 the needed functionality for that.
 
 For further details on how to use SpecHomo check out the
-`documentation <http://geomultisens.gitext.gfz-potsdam.de/spechomo/doc/>`__!
+`documentation <https://geomultisens.gitext-pages.gfz-potsdam.de/spechomo/doc/>`__!
 
 Credits
 -------
@@ -106,5 +106,5 @@ This package was created with Cookiecutter_ and the `audreyr/cookiecutter-pypack
 
 .. _Cookiecutter: https://github.com/audreyr/cookiecutter
 .. _`audreyr/cookiecutter-pypackage`: https://github.com/audreyr/cookiecutter-pypackage
-.. _coverage: http://geomultisens.gitext.gfz-potsdam.de/spechomo/coverage/
-.. _nosetests: http://geomultisens.gitext.gfz-potsdam.de/spechomo/nosetests_reports/nosetests.html
+.. _coverage: https://geomultisens.gitext-pages.gfz-potsdam.de/spechomo/coverage/
+.. _nosetests: https://geomultisens.gitext-pages.gfz-potsdam.de/spechomo/nosetests_reports/nosetests.html

docs/about.rst

@@ -43,4 +43,4 @@ may also train your own homogenization classifiers specifically optimized to you
 the needed functionality for that.
 
 For further details on how to use SpecHomo check out the
-`documentation <http://geomultisens.gitext.gfz-potsdam.de/spechomo/doc/>`__!
+`documentation <https://geomultisens.gitext-pages.gfz-potsdam.de/spechomo/doc/>`__!

docs/usage/available_transformations.rst

@@ -5,7 +5,7 @@ The classifiers included in the SpecHomo package
 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 
 The SpecHomo package provides a set of classifiers that can be used for spectral homogenization of various sensor
-combinations (see `here <http://geomultisens.gitext.gfz-potsdam.de/spechomo/doc/usage/
+combinations (see `here <https://geomultisens.gitext-pages.gfz-potsdam.de/spechomo/doc/usage/
 available_transformations.html#which-sensor-transformations-are-available>`__). These classifiers have been trained
 based on simulated multispectral remote sensing images created by spectral convolution from hyperspectral airborne
 datasets. These hyperspectral datasets were chosen with the intention to include as many different land-cover types

docs/usage/classifier_creation.rst

@@ -80,7 +80,7 @@ Here is an example based on the above created reference cubes for Sentinel-2A an
 
 The classifiers are saved as *.dill files. You may explore them later using the
 :func:`list_available_transformations<spechomo.utils.list_available_transformations>` function as described
-`here <http://geomultisens.gitext.gfz-potsdam.de/spechomo/doc/usage/available_transformations.html>`__.
+`here <https://geomultisens.gitext-pages.gfz-potsdam.de/spechomo/doc/usage/available_transformations.html>`__.
 
 .. note::
 

docs/usage/homogenization.rst

@@ -7,7 +7,7 @@ class. Please see the linked content for a full documentation of this class.
 
 For the sake of simplicity, the usage of this class is described below, at the
 **example of Landsat-8 data, spectrally adapted to Sentinel-2A**. Transformations between various other sensors are
-possible, see `here <http://geomultisens.gitext.gfz-potsdam.de/spechomo/doc/usage/available_transformations.html
+possible, see `here <https://geomultisens.gitext-pages.gfz-potsdam.de/spechomo/doc/usage/available_transformations.html
 #which-sensor-transformations-are-available>`__.
 
 First, load the Landsat-8 `surface reflectance`_ image that you want to transform to the spectral domain of Sentinel-2A
@@ -24,7 +24,7 @@ First, load the Landsat-8 `surface reflectance`_ image that you want to transfor
     Please make sure, that the Landsat-8 input image contains the right bands in the correct order before you run the
     homogenization! By running the :func:`list_available_transformations<spechomo.utils.list_available_transformations>`
     function as described
-    `here <http://geomultisens.gitext.gfz-potsdam.de/spechomo/doc/usage/available_transformations.html>`__, you can
+    `here <https://geomultisens.gitext-pages.gfz-potsdam.de/spechomo/doc/usage/available_transformations.html>`__, you can
     find out, that the needed band list is ['1', '2', '3', '4', '5', '6', '7']. These band numbers refer to the
     official provider band-names as described for Landsat at the
     `USGS website <https://www.usgs.gov/faqs/what-are-band-designations-landsat-satellites>`__.
@@ -67,7 +67,7 @@ follows:
       :meth:`predict_by_machine_learner<spechomo.prediction.SpectralHomogenizer.predict_by_machine_learner>` method
       from the :func:`list_available_transformations<spechomo.utils.list_available_transformations>`
       function as described
-      `here <http://geomultisens.gitext.gfz-potsdam.de/spechomo/doc/usage/available_transformations.html
+      `here <https://geomultisens.gitext-pages.gfz-potsdam.de/spechomo/doc/usage/available_transformations.html
       #which-sensor-transformations-are-available>`__.
     * You may also save the homogenization results to other GDAL compatible image formats
       (see :meth:`geoarray.GeoArray.save` for details).
@@ -77,5 +77,5 @@ follows:
       evaluation of the different homogenization algorithms available in the SpecHomo library.
 
 
-.. _`surface reflectance`: http://geomultisens.gitext.gfz-potsdam.de/spechomo/doc/usage/input_data_requirements.html#surface-reflectance
+.. _`surface reflectance`: https://geomultisens.gitext-pages.gfz-potsdam.de/spechomo/doc/usage/input_data_requirements.html#surface-reflectance
 .. _`geoarray`: https://gitext.gfz-potsdam.de/danschef/geoarray

spechomo/version.py

@@ -24,5 +24,5 @@
 # You should have received a copy of the GNU Lesser General Public License along
 # with this program.  If not, see <http://www.gnu.org/licenses/>.
 
-__version__ = '0.6.4'
-__versionalias__ = '20200409.03'
+__version__ = '0.6.5'
+__versionalias__ = '20200915.01'