Docs: reorganize tutorial hierarchy

docs/index.rst

@@ -12,6 +12,15 @@ torchgeo
    user/glossary
    user/alternatives
 
+.. toctree::
+   :maxdepth: 2
+   :caption: Tutorials
+
+   tutorials/getting_started
+   tutorials/basic_usage
+   tutorials/case_studies
+   tutorials/customization
+
 .. toctree::
    :maxdepth: 2
    :caption: Package Reference
@@ -24,23 +33,6 @@ torchgeo
    api/trainers
    api/transforms
 
-.. toctree::
-   :maxdepth: 1
-   :caption: Tutorials
-
-   tutorials/getting_started
-   tutorials/pytorch
-   tutorials/geospatial
-   tutorials/torchgeo
-   tutorials/contribute_non_geo_dataset
-   tutorials/custom_raster_dataset
-   tutorials/contribute_datamodule
-   tutorials/transforms
-   tutorials/indices
-   tutorials/trainers
-   tutorials/pretrained_weights
-   tutorials/earth_surface_water
-
 .. toctree::
    :maxdepth: 1
    :caption: PyTorch Libraries

docs/tutorials/basic_usage.rst

@@ -0,0 +1,18 @@
+Basic Usage
+===========
+
+The following tutorials introduce the basic concepts and components of TorchGeo:
+
+* `Transforms <transforms.ipynb>`_: Preprocessing and data augmentation transforms for geospatial data
+* `Indices <indices.ipynb>`_: Spectral indices
+* `Pretrained Weights <pretrained_weights.ipynb>`_: Models and pretrained weights
+* `Lightning Trainers <trainers.ipynb>`_: PyTorch Lightning data modules and trainers
+
+.. toctree::
+   :hidden:
+   :maxdepth: 1
+
+   transforms
+   indices
+   pretrained_weights
+   trainers

docs/tutorials/case_studies.rst

@@ -0,0 +1,14 @@
+Case Studies
+============
+
+The following case studies present end-to-end workflows for common use cases of geospatial machine learning:
+
+* `Earth Surface Water <earth_surface_water.ipynb>`_: A workflow for mapping surface water, including lakes and rivers
+
+Do you have a use case that is missing from this list? Please open a pull request to add tutorials for your own use cases.
+
+.. toctree::
+   :hidden:
+   :maxdepth: 1
+
+   earth_surface_water

docs/tutorials/contribute_non_geo_dataset.ipynb

@@ -259,7 +259,11 @@
     "# Create dummy data for all splits and filenames\n",
     "for split in splits:\n",
     "    for filename in image_file_names:\n",
-    "        create_input_image(split, filename)\n",
+    "        create_input_image(\n",
+    "            os.path.join(root_dir, 'image', split, filename),\n",
+    "            (IMG_SIZE, IMG_SIZE),\n",
+    "            range(2**16),\n",
+    "        )\n",
     "        create_target_images(split, filename.replace('_', '_target_'))\n",
     "\n",
     "# Zip directory\n",

docs/tutorials/customization.rst

@@ -0,0 +1,20 @@
+Customization
+=============
+
+Is TorchGeo missing a dataset or model you need? Would you like to modify the default augmentations for a data module or extend a builtin trainer?
+
+The following tutorials will teach you how to customize TorchGeo to meet your needs:
+
+* `Custom Non-Geospatial Datasets <contribute_non_geo_dataset.ipynb>`_: How to create and contribute a new NonGeoDataset
+* `Custom Raster Datasets <custom_raster_dataset.ipynb>`_: How to create a new RasterDataset
+* `Custom Data Module <contribute_datamodule.ipynb>`_: How to create and contribute a new DataModule
+
+TorchGeo is a community-driven open source library. If there is a feature missing that you would like to add, please open a pull request to add it. See the ref:`contributing` guidelines to get started.
+
+.. toctree::
+   :hidden:
+   :maxdepth: 1
+
+   contribute_non_geo_dataset
+   custom_raster_dataset
+   contribute_datamodule