From c622eb9c1d65759906b96a0c305b2c6a2178c789 Mon Sep 17 00:00:00 2001 From: marujore Date: Fri, 21 Jun 2024 14:27:44 -0300 Subject: [PATCH] Fix several URLs --- Py6S/Params/atmosprofile.py | 4 ++-- doc/source/audience.rst | 6 +++--- doc/source/installation.rst | 6 +++--- 3 files changed, 8 insertions(+), 8 deletions(-) diff --git a/Py6S/Params/atmosprofile.py b/Py6S/Params/atmosprofile.py index c8ac88f..fef8764 100644 --- a/Py6S/Params/atmosprofile.py +++ b/Py6S/Params/atmosprofile.py @@ -37,13 +37,13 @@ def FromLatitudeAndDate(cls, latitude, date): """Automatically pick the atmospheric profile based on the latitude and date. - Based on the table provided at http://www.exelisvis.com/docs/FLAASH.html + Based on the table provided at https://www.nv5geospatialsoftware.com/docs/FLAASH.html """ dt = dateutil.parser.parse(date, dayfirst=True) rounded_lat = round(latitude, -1) - # Data from Table 2-2 in http://www.exelisvis.com/docs/FLAASH.html + # Data from Table 2-2 in https://www.nv5geospatialsoftware.com/docs/FLAASH.html SAW = cls.PredefinedType(cls.SubarcticWinter) SAS = cls.PredefinedType(cls.SubarcticSummer) MLS = cls.PredefinedType(cls.MidlatitudeSummer) diff --git a/doc/source/audience.rst b/doc/source/audience.rst index 248305d..c73ad43 100644 --- a/doc/source/audience.rst +++ b/doc/source/audience.rst @@ -5,8 +5,8 @@ Py6S is an interface to the Second Simulation of the Satellite Signal in the Sol The best resources to gain some familiarity with these topics are: -* A basic remote sensing textbook for information on the use of Radiative Transfer Models (look in your local academic library) -* The original paper on 6S by `Vermote et al `_ -* The 6S manual, particularly the first section which introduces the conceptual basis of the model (the later parts document each function in the original Fortran code, which may be less useful), `here `_. +* A basic remote sensing textbook for information on the use of Radiative Transfer Models (look in your local academic library) +* The original paper on 6S by `Vermote et al `_ +* The 6S manual, particularly the first section which introduces the conceptual basis of the model (the later parts document each function in the original Fortran code, which may be less useful), `here `_. Py6S is a Python module, so you will need to have a basic understanding of Python programming to use the model. Don't worry too much though - you can use the model without being a Python expert! Some good tutorials for basic Python programming include `LearnPython `_ and the `Google Python class `_. diff --git a/doc/source/installation.rst b/doc/source/installation.rst index 9eae4c4..443cf40 100644 --- a/doc/source/installation.rst +++ b/doc/source/installation.rst @@ -17,7 +17,7 @@ the environment, which you should now do. You can now skip to `Testing Py6S`_. If you don't already have ``conda`` installed then: -#. Install either `Miniconda `_ or `Anaconda `_. +#. Install either `Miniconda `_ or `Anaconda `_. These are two different distributions of Python, both of which include the ``conda`` package manager. Miniconda comes with the 'bare minimum' of Python, conda and a few essential libraries, whereas Anaconda comes with many libraries required for data science @@ -83,8 +83,8 @@ Python modules * ``pandas`` (optional: only required for importing AERONET data) * ``ipython`` (recommended) -An easy way to sort all of this out is to use -`Anaconda `_ or the `Enthought Python +An easy way to sort all of this out is to use +`Anaconda `_ or the `Enthought Python Distribution `_, either of which will install Python plus many modules which are often used for scientific computing.