diff --git a/docs/tutorials/basic_usage.rst b/docs/tutorials/basic_usage.rst
index f2314e3a269..10fcb97b42d 100644
--- a/docs/tutorials/basic_usage.rst
+++ b/docs/tutorials/basic_usage.rst
@@ -3,10 +3,10 @@ Basic Usage
 
 The following tutorials introduce the basic concepts and components of TorchGeo:
 
-* `Transforms <transforms>`_: Preprocessing and data augmentation transforms for geospatial data
-* `Indices <indices>`_: Spectral indices
-* `Pretrained Weights <pretrained_weights>`_: Models and pretrained weights
-* `Lightning Trainers <trainers>`: PyTorch Lightning data modules and trainers
+* `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:
diff --git a/docs/tutorials/case_studies.rst b/docs/tutorials/case_studies.rst
index 189f90b4ea1..aee09a94265 100644
--- a/docs/tutorials/case_studies.rst
+++ b/docs/tutorials/case_studies.rst
@@ -3,7 +3,7 @@ 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>`_: A workflow for mapping surface water, including lakes and rivers
+* `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.
 
diff --git a/docs/tutorials/customization.rst b/docs/tutorials/customization.rst
index 998d001c47c..17bcae529bd 100644
--- a/docs/tutorials/customization.rst
+++ b/docs/tutorials/customization.rst
@@ -1,13 +1,13 @@
-Customization and Contributing
-==============================
+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>`_: How to create and contribute a new NonGeoDataset
-* `Custom Raster Datasets <custom_raster_datasets>`_: How to create a new RasterDataset
-* `Custom Data Module <contribute_datamodule>`_: How to create and contribute a new DataModule
+* `Custom Non-Geospatial Datasets <contribute_non_geo_dataset.ipynb>`_: How to create and contribute a new NonGeoDataset
+* `Custom Raster Datasets <custom_raster_datasets.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.
 
diff --git a/docs/tutorials/getting_started.rst b/docs/tutorials/getting_started.rst
index 013e76cd246..8049a95a20f 100644
--- a/docs/tutorials/getting_started.rst
+++ b/docs/tutorials/getting_started.rst
@@ -5,10 +5,9 @@ New to deep learning or remote sensing? First time using PyTorch or TorchGeo? Yo
 
 The following tutorials will teach you enough to get started:
 
-* `Introduction to PyTorch <pytorch>`_: A brief overview of deep learning with PyTorch
-* `Introduction to Geospatial Data <geospatial>`_: A brief overview of the challenges of working with geospatial data
-* `Introduction to TorchGeo <torchgeo>`_: A brief overview of the design of TorchGeo
-
+* `Introduction to PyTorch <pytorch.ipynb>`_: A brief overview of deep learning with PyTorch
+* `Introduction to Geospatial Data <geospatial.ipynb>`_: A brief overview of the challenges of working with geospatial data
+* `Introduction to TorchGeo <torchgeo.ipynb>`_: A brief overview of the design of TorchGeo
 
 .. toctree::
    :hidden: