diff --git a/city_metrix/layers/layer.py b/city_metrix/layers/layer.py
index 0b2da49..b2a1e17 100644
--- a/city_metrix/layers/layer.py
+++ b/city_metrix/layers/layer.py
@@ -65,6 +65,9 @@ def mean(self):
 
     def count(self):
         return self._zonal_stats("count")
+    
+    def max(self):
+        return self._zonal_stats("max")
 
     def _zonal_stats(self, stats_func):
         if box(*self.zones.total_bounds).area <= MAX_TILE_SIZE**2:
diff --git a/city_metrix/metrics/__init__.py b/city_metrix/metrics/__init__.py
index 10b559c..da9e79b 100644
--- a/city_metrix/metrics/__init__.py
+++ b/city_metrix/metrics/__init__.py
@@ -3,4 +3,5 @@
 from .built_land_with_high_land_surface_temperature import built_land_with_high_land_surface_temperature
 from .mean_tree_cover import mean_tree_cover
 from .urban_open_space import urban_open_space
-from .natural_areas import natural_areas
\ No newline at end of file
+from .natural_areas import natural_areas
+from .max_dsm import max_dsm
diff --git a/city_metrix/metrics/max_dsm.py b/city_metrix/metrics/max_dsm.py
new file mode 100644
index 0000000..0e275c7
--- /dev/null
+++ b/city_metrix/metrics/max_dsm.py
@@ -0,0 +1,14 @@
+from geopandas import GeoDataFrame, GeoSeries
+
+from city_metrix.layers import AlosDSM
+from exactextract import exact_extract
+
+def max_dsm(zones: GeoDataFrame) -> GeoSeries:
+    """
+    Get max AlosDSM.
+    :param zones: GeoDataFrame with geometries to collect zonal stats on
+    :return: Pandas Series of hights
+    """
+    max_height = exact_extract(AlosDSM(), zones, ["max"])
+
+    return max_height
diff --git a/environment.yml b/environment.yml
index 5848dbc..5fd2a23 100644
--- a/environment.yml
+++ b/environment.yml
@@ -21,3 +21,4 @@ dependencies:
   - pip=23.3.1
   - pip:
     - cartoframes==1.2.5
+    - git+https://github.com/isciences/exactextract
diff --git a/notebooks/tutorial/compute indicators.ipynb b/notebooks/tutorial/compute indicators.ipynb
index 99f03fd..f9d9132 100644
--- a/notebooks/tutorial/compute indicators.ipynb	
+++ b/notebooks/tutorial/compute indicators.ipynb	
@@ -1198,13 +1198,432 @@
     "city_gdf_aoi"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "02147478",
+   "metadata": {},
+   "source": [
+    "# Building hight"
+   ]
+  },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "id": "951151f1-e0f5-4a8a-99a7-19a6f7c84591",
+   "execution_count": 5,
+   "id": "fa88dd9c",
    "metadata": {},
-   "outputs": [],
-   "source": []
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Authenticating to GEE with configured credentials file.\n"
+     ]
+    }
+   ],
+   "source": [
+    "from city_metrix.metrics import max_dsm"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "0565257b",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "\n",
+       "            <style>\n",
+       "                .geemap-dark {\n",
+       "                    --jp-widgets-color: white;\n",
+       "                    --jp-widgets-label-color: white;\n",
+       "                    --jp-ui-font-color1: white;\n",
+       "                    --jp-layout-color2: #454545;\n",
+       "                    background-color: #383838;\n",
+       "                }\n",
+       "\n",
+       "                .geemap-dark .jupyter-button {\n",
+       "                    --jp-layout-color3: #383838;\n",
+       "                }\n",
+       "\n",
+       "                .geemap-colab {\n",
+       "                    background-color: var(--colab-primary-surface-color, white);\n",
+       "                }\n",
+       "\n",
+       "                .geemap-colab .jupyter-button {\n",
+       "                    --jp-layout-color3: var(--colab-primary-surface-color, white);\n",
+       "                }\n",
+       "            </style>\n",
+       "            "
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "buildings = gpd.read_file('./data/botanico/botanico-BuildingFootprints.geojson')\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "ceb48997",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "\n",
+       "            <style>\n",
+       "                .geemap-dark {\n",
+       "                    --jp-widgets-color: white;\n",
+       "                    --jp-widgets-label-color: white;\n",
+       "                    --jp-ui-font-color1: white;\n",
+       "                    --jp-layout-color2: #454545;\n",
+       "                    background-color: #383838;\n",
+       "                }\n",
+       "\n",
+       "                .geemap-dark .jupyter-button {\n",
+       "                    --jp-layout-color3: #383838;\n",
+       "                }\n",
+       "\n",
+       "                .geemap-colab {\n",
+       "                    background-color: var(--colab-primary-surface-color, white);\n",
+       "                }\n",
+       "\n",
+       "                .geemap-colab .jupyter-button {\n",
+       "                    --jp-layout-color3: var(--colab-primary-surface-color, white);\n",
+       "                }\n",
+       "            </style>\n",
+       "            "
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Extracting layer ALOS DSM from Google Earth Engine:\n",
+      "[########################################] | 100% Completed | 209.59 ms\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>id</th>\n",
+       "      <th>version</th>\n",
+       "      <th>update_time</th>\n",
+       "      <th>sources</th>\n",
+       "      <th>names</th>\n",
+       "      <th>class</th>\n",
+       "      <th>has_parts</th>\n",
+       "      <th>height</th>\n",
+       "      <th>min_height</th>\n",
+       "      <th>num_floors</th>\n",
+       "      <th>facade_material</th>\n",
+       "      <th>roof_material</th>\n",
+       "      <th>roof_shape</th>\n",
+       "      <th>geometry</th>\n",
+       "      <th>max_dsm</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>08bc2e3118a31fff020028fa98d81cdd</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2024-04-06 07:00:00+00:00</td>\n",
+       "      <td>[ { \"property\": \"\", \"dataset\": \"Google Open Bu...</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>False</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>POLYGON ((-58.42594 -34.58705, -58.42598 -34.5...</td>\n",
+       "      <td>19.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>08bc2e3118a06fff0200e5245a02389f</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2024-04-06 07:00:00+00:00</td>\n",
+       "      <td>[ { \"property\": \"\", \"dataset\": \"Google Open Bu...</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>False</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>POLYGON ((-58.42593 -34.58685, -58.42597 -34.5...</td>\n",
+       "      <td>15.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>08bc2e3118a31fff0200626acc9f3edb</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2024-04-06 07:00:00+00:00</td>\n",
+       "      <td>[ { \"property\": \"\", \"dataset\": \"Google Open Bu...</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>False</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>POLYGON ((-58.42591 -34.58695, -58.42594 -34.5...</td>\n",
+       "      <td>30.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>08bc2e3118a06fff0200e65fed72e172</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2024-04-06 07:00:00+00:00</td>\n",
+       "      <td>[ { \"property\": \"\", \"dataset\": \"Google Open Bu...</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>False</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>POLYGON ((-58.42581 -34.58696, -58.42586 -34.5...</td>\n",
+       "      <td>30.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>08bc2e3118a06fff0200ea89dfadab53</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2024-04-06 07:00:00+00:00</td>\n",
+       "      <td>[ { \"property\": \"\", \"dataset\": \"Google Open Bu...</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>False</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>POLYGON ((-58.42591 -34.58687, -58.42599 -34.5...</td>\n",
+       "      <td>15.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2395</th>\n",
+       "      <td>08bc2e311bd72fff0200b4ae95fb7170</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2024-04-06 07:00:00+00:00</td>\n",
+       "      <td>[ { \"property\": \"\", \"dataset\": \"Google Open Bu...</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>False</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>POLYGON ((-58.41270 -34.57662, -58.41287 -34.5...</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2396</th>\n",
+       "      <td>08bc2e311bd72fff0200fe4f08158d94</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2024-04-06 07:00:00+00:00</td>\n",
+       "      <td>[ { \"property\": \"\", \"dataset\": \"Google Open Bu...</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>False</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>POLYGON ((-58.41265 -34.57667, -58.41269 -34.5...</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2397</th>\n",
+       "      <td>08bc2e311bd09fff02007caeb9361c92</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2024-04-06 07:00:00+00:00</td>\n",
+       "      <td>[ { \"property\": \"\", \"dataset\": \"Google Open Bu...</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>False</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>POLYGON ((-58.41250 -34.57661, -58.41267 -34.5...</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2398</th>\n",
+       "      <td>08bc2e311bd54fff02004c9d8a14aab5</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2024-04-06 07:00:00+00:00</td>\n",
+       "      <td>[ { \"property\": \"\", \"dataset\": \"Google Open Bu...</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>False</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>POLYGON ((-58.41271 -34.57615, -58.41276 -34.5...</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2399</th>\n",
+       "      <td>08bc2e311bc25fff02006ae8d2eb16f2</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2024-04-06 07:00:00+00:00</td>\n",
+       "      <td>[ { \"property\": \"\", \"dataset\": \"Microsoft ML B...</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>False</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>POLYGON ((-58.41183 -34.57628, -58.41181 -34.5...</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>2400 rows × 15 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                                    id  version               update_time  \\\n",
+       "0     08bc2e3118a31fff020028fa98d81cdd        0 2024-04-06 07:00:00+00:00   \n",
+       "1     08bc2e3118a06fff0200e5245a02389f        0 2024-04-06 07:00:00+00:00   \n",
+       "2     08bc2e3118a31fff0200626acc9f3edb        0 2024-04-06 07:00:00+00:00   \n",
+       "3     08bc2e3118a06fff0200e65fed72e172        0 2024-04-06 07:00:00+00:00   \n",
+       "4     08bc2e3118a06fff0200ea89dfadab53        0 2024-04-06 07:00:00+00:00   \n",
+       "...                                ...      ...                       ...   \n",
+       "2395  08bc2e311bd72fff0200b4ae95fb7170        0 2024-04-06 07:00:00+00:00   \n",
+       "2396  08bc2e311bd72fff0200fe4f08158d94        0 2024-04-06 07:00:00+00:00   \n",
+       "2397  08bc2e311bd09fff02007caeb9361c92        0 2024-04-06 07:00:00+00:00   \n",
+       "2398  08bc2e311bd54fff02004c9d8a14aab5        0 2024-04-06 07:00:00+00:00   \n",
+       "2399  08bc2e311bc25fff02006ae8d2eb16f2        0 2024-04-06 07:00:00+00:00   \n",
+       "\n",
+       "                                                sources names class  \\\n",
+       "0     [ { \"property\": \"\", \"dataset\": \"Google Open Bu...  None  None   \n",
+       "1     [ { \"property\": \"\", \"dataset\": \"Google Open Bu...  None  None   \n",
+       "2     [ { \"property\": \"\", \"dataset\": \"Google Open Bu...  None  None   \n",
+       "3     [ { \"property\": \"\", \"dataset\": \"Google Open Bu...  None  None   \n",
+       "4     [ { \"property\": \"\", \"dataset\": \"Google Open Bu...  None  None   \n",
+       "...                                                 ...   ...   ...   \n",
+       "2395  [ { \"property\": \"\", \"dataset\": \"Google Open Bu...  None  None   \n",
+       "2396  [ { \"property\": \"\", \"dataset\": \"Google Open Bu...  None  None   \n",
+       "2397  [ { \"property\": \"\", \"dataset\": \"Google Open Bu...  None  None   \n",
+       "2398  [ { \"property\": \"\", \"dataset\": \"Google Open Bu...  None  None   \n",
+       "2399  [ { \"property\": \"\", \"dataset\": \"Microsoft ML B...  None  None   \n",
+       "\n",
+       "      has_parts  height  min_height  num_floors facade_material roof_material  \\\n",
+       "0         False     NaN         NaN         NaN            None          None   \n",
+       "1         False     NaN         NaN         NaN            None          None   \n",
+       "2         False     NaN         NaN         NaN            None          None   \n",
+       "3         False     NaN         NaN         NaN            None          None   \n",
+       "4         False     NaN         NaN         NaN            None          None   \n",
+       "...         ...     ...         ...         ...             ...           ...   \n",
+       "2395      False     NaN         NaN         NaN            None          None   \n",
+       "2396      False     NaN         NaN         NaN            None          None   \n",
+       "2397      False     NaN         NaN         NaN            None          None   \n",
+       "2398      False     NaN         NaN         NaN            None          None   \n",
+       "2399      False     NaN         NaN         NaN            None          None   \n",
+       "\n",
+       "     roof_shape                                           geometry  max_dsm  \n",
+       "0          None  POLYGON ((-58.42594 -34.58705, -58.42598 -34.5...     19.0  \n",
+       "1          None  POLYGON ((-58.42593 -34.58685, -58.42597 -34.5...     15.0  \n",
+       "2          None  POLYGON ((-58.42591 -34.58695, -58.42594 -34.5...     30.0  \n",
+       "3          None  POLYGON ((-58.42581 -34.58696, -58.42586 -34.5...     30.0  \n",
+       "4          None  POLYGON ((-58.42591 -34.58687, -58.42599 -34.5...     15.0  \n",
+       "...         ...                                                ...      ...  \n",
+       "2395       None  POLYGON ((-58.41270 -34.57662, -58.41287 -34.5...      NaN  \n",
+       "2396       None  POLYGON ((-58.41265 -34.57667, -58.41269 -34.5...      NaN  \n",
+       "2397       None  POLYGON ((-58.41250 -34.57661, -58.41267 -34.5...      NaN  \n",
+       "2398       None  POLYGON ((-58.41271 -34.57615, -58.41276 -34.5...      NaN  \n",
+       "2399       None  POLYGON ((-58.41183 -34.57628, -58.41181 -34.5...      NaN  \n",
+       "\n",
+       "[2400 rows x 15 columns]"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "buildings[\"max_dsm\"] = max_dsm(buildings) \n",
+    "buildings"
+   ]
   }
  ],
  "metadata": {