Repository: corteva/rioxarray

Issue:
Add mask & bbox arguments to open_rasterio
Is it possible to to use `rioxarray` to read only a section of a file? What I'm thinking would work similarly to [`clip`](https://corteva.github.io/rioxarray/stable/rioxarray.html#rioxarray.rioxarray.RasterArray.clip) or `clip_box` but would not require a full array in memory.

We do a similar thing in `contextily` to [load only the extent of the local file](https://github.com/geopandas/contextily/blob/master/contextily/plotting.py#L158:L179), and it uses rasterio's masking capabilities.

Would a similar extension of `open_rasterio` be possible and, if so, would it work with COGs so only the read data is transfered over the wire?

Thank you very much in advance for your consideration and for an awesome library!!!

Discussion:
codecov[bot]: # [Codecov](https://codecov.io/gh/corteva/rioxarray/pull/226?src=pr&el=h1) Report
> Merging [#226](https://codecov.io/gh/corteva/rioxarray/pull/226?src=pr&el=desc) (89d1610) into [master](https://codecov.io/gh/corteva/rioxarray/commit/d63e5e2292078f68f60ffd8b238476456b04e6f5?el=desc) (d63e5e2) will **decrease** coverage by `0.62%`.
> The diff coverage is `90.62%`.

[![Impacted file tree graph](https://codecov.io/gh/corteva/rioxarray/pull/226/graphs/tree.svg?width=650&height=150&src=pr&token=C8QK7VO1OF)](https://codecov.io/gh/corteva/rioxarray/pull/226?src=pr&el=tree)

```diff
@@            Coverage Diff             @@
##           master     #226      +/-   ##
==========================================
- Coverage   92.15%   91.52%   -0.63%     
==========================================
  Files          11       10       -1     
  Lines        1287     1298      +11     
==========================================
+ Hits         1186     1188       +2     
- Misses        101      110       +9     
```


| [Impacted Files](https://codecov.io/gh/corteva/rioxarray/pull/226?src=pr&el=tree) | Coverage Δ | |
|---|---|---|
| [rioxarray/\_io.py](https://codecov.io/gh/corteva/rioxarray/pull/226/diff?src=pr&el=tree#diff-cmlveGFycmF5L19pby5weQ==) | `85.83% <ø> (-1.67%)` | :arrow_down: |
| [rioxarray/raster\_array.py](https://codecov.io/gh/corteva/rioxarray/pull/226/diff?src=pr&el=tree#diff-cmlveGFycmF5L3Jhc3Rlcl9hcnJheS5weQ==) | `96.52% <90.32%> (-1.60%)` | :arrow_down: |
| [rioxarray/raster\_dataset.py](https://codecov.io/gh/corteva/rioxarray/pull/226/diff?src=pr&el=tree#diff-cmlveGFycmF5L3Jhc3Rlcl9kYXRhc2V0LnB5) | `100.00% <100.00%> (ø)` | |
| [rioxarray/\_\_init\_\_.py](https://codecov.io/gh/corteva/rioxarray/pull/226/diff?src=pr&el=tree#diff-cmlveGFycmF5L19faW5pdF9fLnB5) | | |

------

[Continue to review full report at Codecov](https://codecov.io/gh/corteva/rioxarray/pull/226?src=pr&el=continue).
> **Legend** - [Click here to learn more](https://docs.codecov.io/docs/codecov-delta)
> `Δ = absolute <relative> (impact)`, `ø = not affected`, `? = missing data`
> Powered by [Codecov](https://codecov.io/gh/corteva/rioxarray/pull/226?src=pr&el=footer). Last update [d63e5e2...c1c8dd2](https://codecov.io/gh/corteva/rioxarray/pull/226?src=pr&el=lastupdated). Read the [comment docs](https://docs.codecov.io/docs/pull-request-comments).


Patch:
diff --git a/docs/examples/clip_geom.ipynb b/docs/examples/clip_geom.ipynb
index faa6f929..ba723f7d 100644
--- a/docs/examples/clip_geom.ipynb
+++ b/docs/examples/clip_geom.ipynb
@@ -4,7 +4,12 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# Example - Clip"
+    "# Example - Clip\n",
+    "\n",
+    "API Reference for `rio.clip`:\n",
+    "\n",
+    "  - [DataArray.clip](../rioxarray.rst#rioxarray.raster_array.RasterArray.clip)\n",
+    "  - [Dataset.clip](../rioxarray.rst#rioxarray.raster_dataset.RasterDataset.clip)"
    ]
   },
   {
@@ -28,7 +33,6 @@
     "  \n",
     "Notes:\n",
     "\n",
-    " - `chunks=True` only works if you have a dask installed. Otherwise, you can skip this.\n",
     " - `masked=True` will convert from integer to `float64` and fill with `NaN`. If this behavior is not desired, you can skip this."
    ]
   },
@@ -41,7 +45,6 @@
     "xds = rioxarray.open_rasterio(\n",
     "    \"../../test/test_data/compare/small_dem_3m_merged.tif\",\n",
     "    masked=True,\n",
-    "    chunks=True,\n",
     ")"
    ]
   },
@@ -53,47 +56,16 @@
     {
      "data": {
       "text/plain": [
-       "<xarray.DataArray (band: 1, y: 245, x: 574)>\n",
-       "dask.array<shape=(1, 245, 574), dtype=float64, chunksize=(1, 245, 574)>\n",
-       "Coordinates:\n",
-       "  * band         (band) int64 1\n",
-       "  * y            (y) float64 4.616e+06 4.616e+06 ... 4.615e+06 4.615e+06\n",
-       "  * x            (x) float64 4.25e+05 4.251e+05 ... 4.268e+05 4.268e+05\n",
-       "    spatial_ref  int64 0\n",
-       "Attributes:\n",
-       "    transform:     (3.0, 0.0, 425047.68381405267, 0.0, -3.0, 4615780.040546387)\n",
-       "    scales:        (1.0,)\n",
-       "    offsets:       (0.0,)\n",
-       "    grid_mapping:  spatial_ref"
+       "<matplotlib.collections.QuadMesh at 0x7fc957fb1ac0>"
       ]
      },
      "execution_count": 3,
      "metadata": {},
      "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "xds"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<matplotlib.collections.QuadMesh at 0x7f1c4807acc0>"
-      ]
-     },
-     "execution_count": 4,
-     "metadata": {},
-     "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -115,17 +87,12 @@
     "## Clip using a geometry\n",
     "\n",
     "By default, it assumes that the CRS of the geometry is the same as the CRS\n",
-    "of the dataset. If it is different, make sure to pass in the CRS of the geometry.\n",
-    "\n",
-    "API Reference for `rio.clip`:\n",
-    "\n",
-    "  - [DataArray.clip](../rioxarray.rst#rioxarray.raster_array.RasterArray.clip)\n",
-    "  - [Dataset.clip](../rioxarray.rst#rioxarray.raster_dataset.RasterDataset.clip)"
+    "of the dataset. If it is different, make sure to pass in the CRS of the geometry."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -140,67 +107,28 @@
     "            [425499.18381405267, 4615331.540546387]\n",
     "        ]]\n",
     "    }\n",
-    "]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {},
-   "outputs": [],
-   "source": [
+    "]\n",
     "clipped = xds.rio.clip(geometries)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<xarray.DataArray (band: 1, y: 49, x: 9)>\n",
-       "dask.array<shape=(1, 49, 9), dtype=float64, chunksize=(1, 49, 9)>\n",
-       "Coordinates:\n",
-       "  * band         (band) int64 1\n",
-       "  * y            (y) float64 4.615e+06 4.615e+06 ... 4.615e+06 4.615e+06\n",
-       "  * x            (x) float64 4.255e+05 4.255e+05 ... 4.255e+05 4.255e+05\n",
-       "    spatial_ref  int64 0\n",
-       "Attributes:\n",
-       "    transform:     (3.0, 0.0, 425500.68381405267, 0.0, -3.0, 4615477.04054638...\n",
-       "    scales:        (1.0,)\n",
-       "    offsets:       (0.0,)\n",
-       "    grid_mapping:  spatial_ref"
-      ]
-     },
-     "execution_count": 7,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "clipped"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<matplotlib.collections.QuadMesh at 0x7f1c39904400>"
+       "<matplotlib.collections.QuadMesh at 0x7fc957829d90>"
       ]
      },
-     "execution_count": 8,
+     "execution_count": 5,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -217,7 +145,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -228,17 +156,12 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Clip using a GeoDataFrame\n",
-    "\n",
-    "API Reference for `rio.clip`:\n",
-    "\n",
-    "  - [DataArray.clip](../rioxarray.rst#rioxarray.raster_array.RasterArray.clip)\n",
-    "  - [Dataset.clip](../rioxarray.rst#rioxarray.raster_dataset.RasterDataset.clip)"
+    "## Clip using a GeoDataFrame"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -248,7 +171,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -262,7 +185,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -276,22 +199,22 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<matplotlib.collections.QuadMesh at 0x7f1c3938fcf8>"
+       "<matplotlib.collections.QuadMesh at 0x7fc9572aa100>"
       ]
      },
-     "execution_count": 13,
+     "execution_count": 10,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -308,12 +231,86 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [],
    "source": [
     "clipped.rio.to_raster(\"clipped_invert.tif\", compress='LZMA', tiled=True, dtype=\"int32\")"
    ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Clipping larger rasters\n",
+    "\n",
+    "Note: Loading from disk will likely only work directly after opening a raster with [rioxarray.open_rasterio](../rioxarray.rst#rioxarray-open-rasterio)\n",
+    "\n",
+    "The clip operation needs the full raster loaded with the default method.\n",
+    "This can be an issue if you don't have enough memory (RAM) on you machine.\n",
+    "If this is something you have run into, it is recommended to use the\n",
+    "`from_disk=True` option. This option uses [rasterio.mask.mask](https://rasterio.readthedocs.io/en/latest/topics/masking-by-shapefile.html) when loading the data if possible.\n",
+    "\n",
+    "Alternatively, you can also use `rio.clip_box` followed by `rio.clip` for a more\n",
+    "consistent memory efficient clip operation."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "geometries = [\n",
+    "    {\n",
+    "        'type': 'Polygon',\n",
+    "        'coordinates': [[\n",
+    "            [425499.18381405267, 4615331.540546387],\n",
+    "            [425499.18381405267, 4615478.540546387],\n",
+    "            [425526.18381405267, 4615478.540546387],\n",
+    "            [425526.18381405267, 4615331.540546387],\n",
+    "            [425499.18381405267, 4615331.540546387]\n",
+    "        ]]\n",
+    "    }\n",
+    "]\n",
+    "\n",
+    "clipped = rioxarray.open_rasterio(\n",
+    "    \"../../test/test_data/compare/small_dem_3m_merged.tif\",\n",
+    "    masked=True,\n",
+    ").rio.clip(geometries, from_disk=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.collections.QuadMesh at 0x7fc9571db850>"
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 2 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "clipped.plot()"
+   ]
   }
  ],
  "metadata": {
@@ -332,7 +329,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.6"
+   "version": "3.9.1"
   }
  },
  "nbformat": 4,
diff --git a/docs/history.rst b/docs/history.rst
index 454d4f5a..e7b9f938 100644
--- a/docs/history.rst
+++ b/docs/history.rst
@@ -8,8 +8,9 @@ Latest
 - ENH: Add support for using dask in `rio.to_raster` (issue #9)
 - ENH: Use the list version of `transform_geom` with rasterio 1.2+ (issue #180)
 - ENH: Support driver autodetection with rasterio 1.2+ (issue #180)
-- BUG: Allow `rio.write_crs` when spatial dimensions not found (pull #186)
 - ENH: Allow multithreaded, lockless reads with `rio.open_rasterio` (issue #214)
+- ENH: Add support to clip from disk (issue #115)
+- BUG: Allow `rio.write_crs` when spatial dimensions not found (pull #186)
 - BUG: Update to support rasterio 1.2+ merge (issue #180)
 
 0.1.1
diff --git a/rioxarray/raster_array.py b/rioxarray/raster_array.py
index 0e895441..73e08647 100644
--- a/rioxarray/raster_array.py
+++ b/rioxarray/raster_array.py
@@ -16,6 +16,7 @@ from typing import Iterable
 
 import numpy as np
 import rasterio
+import rasterio.mask
 import rasterio.warp
 import xarray
 from rasterio.crs import CRS
@@ -130,6 +131,67 @@ def _ensure_nodata_dtype(original_nodata, new_dtype):
     return nodata
 
 
+def _clip_from_disk(xds, geometries, all_touched, drop, invert):
+    """
+    clip from disk if the file object is available
+    """
+    try:
+        out_image, out_transform = rasterio.mask.mask(
+            xds._file_obj.acquire(),
+            geometries,
+            all_touched=all_touched,
+            invert=invert,
+            crop=drop,
+        )
+        if xds.rio.encoded_nodata is not None and not np.isnan(xds.rio.encoded_nodata):
+            out_image = out_image.astype(np.float64)
+            out_image[out_image == xds.rio.encoded_nodata] = np.nan
+
+        height, width = out_image.shape[-2:]
+        cropped_ds = xarray.DataArray(
+            name=xds.name,
+            data=out_image,
+            coords=_make_coords(xds, out_transform, width, height),
+            dims=xds.dims,
+            attrs=xds.attrs,
+        )
+        cropped_ds.encoding = xds.encoding
+        return cropped_ds
+    except AttributeError:
+        return None
+
+
+def _clip_xarray(xds, geometries, all_touched, drop, invert):
+    """
+    clip the xarray DataArray
+    """
+    clip_mask_arr = geometry_mask(
+        geometries=geometries,
+        out_shape=(int(xds.rio.height), int(xds.rio.width)),
+        transform=xds.rio.transform(recalc=True),
+        invert=not invert,
+        all_touched=all_touched,
+    )
+    clip_mask_xray = xarray.DataArray(
+        clip_mask_arr,
+        dims=(xds.rio.y_dim, xds.rio.x_dim),
+    )
+    cropped_ds = xds.where(clip_mask_xray)
+    if drop:
+        cropped_ds.rio.set_spatial_dims(
+            x_dim=xds.rio.x_dim, y_dim=xds.rio.y_dim, inplace=True
+        )
+        cropped_ds = cropped_ds.rio.isel_window(
+            rasterio.windows.get_data_window(
+                np.ma.masked_array(clip_mask_arr, ~clip_mask_arr)
+            )
+        )
+    if xds.rio.nodata is not None and not np.isnan(xds.rio.nodata):
+        cropped_ds = cropped_ds.fillna(xds.rio.nodata)
+
+    return cropped_ds.astype(xds.dtype)
+
+
 @xarray.register_dataarray_accessor("rio")
 class RasterArray(XRasterBase):
     """This is the GIS extension for :obj:`xarray.DataArray`"""
@@ -570,7 +632,15 @@ class RasterArray(XRasterBase):
         _add_attrs_proj(cl_array, self._obj)
         return cl_array
 
-    def clip(self, geometries, crs=None, all_touched=False, drop=True, invert=False):
+    def clip(
+        self,
+        geometries,
+        crs=None,
+        all_touched=False,
+        drop=True,
+        invert=False,
+        from_disk=False,
+    ):
         """
         Crops a :obj:`xarray.DataArray` by geojson like geometry dicts.
 
@@ -590,6 +660,8 @@ class RasterArray(XRasterBase):
             >>> cropped = xds.rio.clip(geometries=cropping_geometries, crs=4326)
 
 
+        .. versionadded:: 0.2 from_disk
+
         Parameters
         ----------
         geometries: list
@@ -610,6 +682,10 @@ class RasterArray(XRasterBase):
             If False, pixels that do not overlap shapes will be set as nodata.
             Otherwise, pixels that overlap the shapes will be set as nodata.
             False by default.
+        from_disk: boolean, optional
+            If True, it will clip from disk using rasterio.mask.mask if possible.
+            This is beneficial when the size of the data is larger than memory.
+            Default is False.
 
         Returns
         -------
@@ -630,32 +706,23 @@ class RasterArray(XRasterBase):
                     rasterio.warp.transform_geom(crs, self.crs, geometry)
                     for geometry in geometries
                 ]
-
-        clip_mask_arr = geometry_mask(
-            geometries=geometries,
-            out_shape=(int(self.height), int(self.width)),
-            transform=self.transform(recalc=True),
-            invert=not invert,
-            all_touched=all_touched,
-        )
-        clip_mask_xray = xarray.DataArray(
-            clip_mask_arr,
-            dims=(self.y_dim, self.x_dim),
-        )
-        cropped_ds = self._obj.where(clip_mask_xray)
-        if drop:
-            cropped_ds.rio.set_spatial_dims(
-                x_dim=self.x_dim, y_dim=self.y_dim, inplace=True
+        cropped_ds = None
+        if from_disk:
+            cropped_ds = _clip_from_disk(
+                self._obj,
+                geometries=geometries,
+                all_touched=all_touched,
+                drop=drop,
+                invert=invert,
             )
-            cropped_ds = cropped_ds.rio.isel_window(
-                rasterio.windows.get_data_window(
-                    np.ma.masked_array(clip_mask_arr, ~clip_mask_arr)
-                )
+        if cropped_ds is None:
+            cropped_ds = _clip_xarray(
+                self._obj,
+                geometries=geometries,
+                all_touched=all_touched,
+                drop=drop,
+                invert=invert,
             )
-        if self.nodata is not None and not np.isnan(self.nodata):
-            cropped_ds = cropped_ds.fillna(self.nodata)
-
-        cropped_ds = cropped_ds.astype(self._obj.dtype)
 
         if (
             cropped_ds.coords[self.x_dim].size < 1
diff --git a/rioxarray/raster_dataset.py b/rioxarray/raster_dataset.py
index 94bc1a0f..ad12c852 100644
--- a/rioxarray/raster_dataset.py
+++ b/rioxarray/raster_dataset.py
@@ -220,7 +220,15 @@ class RasterDataset(XRasterBase):
             x_dim=self.x_dim, y_dim=self.y_dim, inplace=True
         )
 
-    def clip(self, geometries, crs=None, all_touched=False, drop=True, invert=False):
+    def clip(
+        self,
+        geometries,
+        crs=None,
+        all_touched=False,
+        drop=True,
+        invert=False,
+        from_disk=False,
+    ):
         """
         Crops a :class:`xarray.Dataset` by geojson like geometry dicts.
 
@@ -242,6 +250,9 @@ class RasterDataset(XRasterBase):
             >>> xds = xarray.open_rasterio('cool_raster.tif')
             >>> cropped = xds.rio.clip(geometries=cropping_geometries, crs=4326)
 
+
+        .. versionadded:: 0.2 from_disk
+
         Parameters
         ----------
         geometries: list
@@ -261,6 +272,10 @@ class RasterDataset(XRasterBase):
             If False, pixels that do not overlap shapes will be set as nodata.
             Otherwise, pixels that overlap the shapes will be set as nodata.
             False by default.
+        from_disk: boolean, optional
+            If True, it will clip from disk using rasterio.mask.mask if possible.
+            This is beneficial when the size of the data is larger than memory.
+            Default is False.
 
         Returns
         -------
@@ -278,6 +293,7 @@ class RasterDataset(XRasterBase):
                     all_touched=all_touched,
                     drop=drop,
                     invert=invert,
+                    from_disk=from_disk,
                 )
             )
         return clipped_dataset.rio.set_spatial_dims(


Test patch:
diff --git a/test/integration/test_integration_rioxarray.py b/test/integration/test_integration_rioxarray.py
index ff932d44..ded21834 100644
--- a/test/integration/test_integration_rioxarray.py
+++ b/test/integration/test_integration_rioxarray.py
@@ -366,16 +366,19 @@ def test_slice_xy(modis_clip):
 
 
 @pytest.mark.parametrize(
-    "open_func",
+    "open_func,from_disk",
     [
-        xarray.open_rasterio,
-        rioxarray.open_rasterio,
-        partial(rioxarray.open_rasterio, parse_coordinates=False),
+        (xarray.open_rasterio, False),
+        (rioxarray.open_rasterio, False),
+        (rioxarray.open_rasterio, True),
+        (partial(rioxarray.open_rasterio, parse_coordinates=False), False),
+        (partial(rioxarray.open_rasterio, parse_coordinates=False), True),
+        (partial(rioxarray.open_rasterio, parse_coordinates=False, masked=True), True),
     ],
 )
-def test_clip_geojson(open_func):
+def test_clip_geojson(open_func, from_disk):
     with open_func(
-        os.path.join(TEST_COMPARE_DATA_DIR, "small_dem_3m_merged.tif")
+        os.path.join(TEST_COMPARE_DATA_DIR, "small_dem_3m_merged.tif"),
     ) as xdi:
         # get subset for testing
         subset = xdi.isel(x=slice(150, 160), y=slice(100, 150))
@@ -384,8 +387,8 @@ def test_clip_geojson(open_func):
         comp_subset.rio.write_transform(inplace=True)
         # add grid mapping for test
         comp_subset.rio.write_crs(subset.rio.crs, inplace=True)
-        # make sure nodata exists for test
-        comp_subset.attrs["_FillValue"] = comp_subset.rio.nodata
+        if comp_subset.rio.encoded_nodata is None:
+            comp_subset.rio.write_nodata(comp_subset.rio.nodata, inplace=True)
 
         geometries = [
             {
@@ -402,8 +405,17 @@ def test_clip_geojson(open_func):
             }
         ]
         # test data array
-        clipped = xdi.rio.clip(geometries)
-        _assert_xarrays_equal(clipped, comp_subset)
+        clipped = xdi.rio.clip(geometries, from_disk=from_disk)
+        if from_disk:
+            _assert_xarrays_equal(clipped[:, 1:, 1:], comp_subset)
+            if comp_subset.rio.encoded_nodata is not None:
+                assert numpy.isnan(clipped.values[:, 0, :]).all()
+                assert numpy.isnan(clipped.values[:, :, 0]).all()
+            else:
+                assert (clipped.values[:, 0, :] == comp_subset.rio.nodata).all()
+                assert (clipped.values[:, :, 0] == comp_subset.rio.nodata).all()
+        else:
+            _assert_xarrays_equal(clipped, comp_subset)
 
         # test dataset
         clipped_ds = xdi.to_dataset(name="test_data").rio.clip(geometries)
@@ -421,7 +433,13 @@ def test_clip_geojson(open_func):
 
 
 @pytest.mark.parametrize(
-    "invert, expected_sum", [(False, 2150837592), (True, 535691205)]
+    "invert, from_disk, expected_sum",
+    [
+        (False, False, 2150837592),
+        (True, False, 535691205),
+        (False, True, 2150837592),
+        (True, True, 535691205),
+    ],
 )
 @pytest.mark.parametrize(
     "open_func",
@@ -431,7 +449,7 @@ def test_clip_geojson(open_func):
         partial(rioxarray.open_rasterio, parse_coordinates=False),
     ],
 )
-def test_clip_geojson__no_drop(open_func, invert, expected_sum):
+def test_clip_geojson__no_drop(open_func, invert, from_disk, expected_sum):
     with open_func(
         os.path.join(TEST_COMPARE_DATA_DIR, "small_dem_3m_merged.tif")
     ) as xdi:
@@ -450,7 +468,9 @@ def test_clip_geojson__no_drop(open_func, invert, expected_sum):
             }
         ]
         # test data array
-        clipped = xdi.rio.clip(geometries, "epsg:4326", drop=False, invert=invert)
+        clipped = xdi.rio.clip(
+            geometries, "epsg:4326", drop=False, invert=invert, from_disk=from_disk
+        )
         assert clipped.rio.crs == xdi.rio.crs
         assert clipped.shape == xdi.shape
         assert clipped.sum().item() == expected_sum