Update notebook template

giswqs · Dec 6, 2020 · 21436dd · 21436dd
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diff --git a/.vscode/settings.json b/.vscode/settings.json
@@ -1,3 +1,3 @@
 {
-    "python.pythonPath": "/home/qiusheng/.conda/envs/geemap/bin/python"
+    "python.pythonPath": "/home/qiusheng/.conda/envs/gee/bin/python"
 }
diff --git a/Algorithms/CloudMasking/landsat457_surface_reflectance.ipynb b/Algorithms/CloudMasking/landsat457_surface_reflectance.ipynb
@@ -16,10 +16,8 @@
       "metadata": {},
       "source": [
         "## Install Earth Engine API and geemap\n",
-        "Install the [Earth Engine Python API](https://developers.google.com/earth-engine/python_install) and [geemap](https://github.com/giswqs/geemap). The **geemap** Python package is built upon the [ipyleaflet](https://github.com/jupyter-widgets/ipyleaflet) and [folium](https://github.com/python-visualization/folium) packages and implements several methods for interacting with Earth Engine data layers, such as `Map.addLayer()`, `Map.setCenter()`, and `Map.centerObject()`.\n",
-        "The following script checks if the geemap package has been installed. If not, it will install geemap, which automatically installs its [dependencies](https://github.com/giswqs/geemap#dependencies), including earthengine-api, folium, and ipyleaflet.\n",
-        "\n",
-        "**Important note**: A key difference between folium and ipyleaflet is that ipyleaflet is built upon ipywidgets and allows bidirectional communication between the front-end and the backend enabling the use of the map to capture user input, while folium is meant for displaying static data only ([source](https://blog.jupyter.org/interactive-gis-in-jupyter-with-ipyleaflet-52f9657fa7a)). Note that [Google Colab](https://colab.research.google.com/) currently does not support ipyleaflet ([source](https://github.com/googlecolab/colabtools/issues/60#issuecomment-596225619)). Therefore, if you are using geemap with Google Colab, you should use [`import geemap.eefolium`](https://github.com/giswqs/geemap/blob/master/geemap/eefolium.py). If you are using geemap with [binder](https://mybinder.org/) or a local Jupyter notebook server, you can use [`import geemap`](https://github.com/giswqs/geemap/blob/master/geemap/geemap.py), which provides more functionalities for capturing user input (e.g., mouse-clicking and moving)."
+        "Install the [Earth Engine Python API](https://developers.google.com/earth-engine/python_install) and [geemap](https://geemap.org). The **geemap** Python package is built upon the [ipyleaflet](https://github.com/jupyter-widgets/ipyleaflet) and [folium](https://github.com/python-visualization/folium) packages and implements several methods for interacting with Earth Engine data layers, such as `Map.addLayer()`, `Map.setCenter()`, and `Map.centerObject()`.\n",
+        "The following script checks if the geemap package has been installed. If not, it will install geemap, which automatically installs its [dependencies](https://github.com/giswqs/geemap#dependencies), including earthengine-api, folium, and ipyleaflet."
       ]
     },
     {
@@ -32,24 +30,18 @@
         "try:\n",
         "    import geemap\n",
         "except ImportError:\n",
-        "    print('geemap package not installed. Installing ...')\n",
-        "    subprocess.check_call([\"python\", '-m', 'pip', 'install', 'geemap'])\n",
-        "\n",
-        "# Checks whether this notebook is running on Google Colab\n",
-        "try:\n",
-        "    import google.colab\n",
-        "    import geemap.eefolium as geemap\n",
-        "except:\n",
-        "    import geemap\n",
-        "\n",
-        "# Authenticates and initializes Earth Engine\n",
+        "    print('Installing geemap ...')\n",
+        "    subprocess.check_call([\"python\", '-m', 'pip', 'install', 'geemap'])"
+      ],
+      "outputs": [],
+      "execution_count": null
+    },
+    {
+      "cell_type": "code",
+      "metadata": {},
+      "source": [
         "import ee\n",
-        "\n",
-        "try:\n",
-        "    ee.Initialize()\n",
-        "except Exception as e:\n",
-        "    ee.Authenticate()\n",
-        "    ee.Initialize()  "
+        "import geemap"
       ],
       "outputs": [],
       "execution_count": null
@@ -154,5 +146,5 @@
     }
   },
   "nbformat": 4,
-  "nbformat_minor": 1
+  "nbformat_minor": 4
 }
diff --git a/Algorithms/CloudMasking/landsat457_surface_reflectance.py b/Algorithms/CloudMasking/landsat457_surface_reflectance.py
@@ -10,10 +10,8 @@
 # %%
 """
 ## Install Earth Engine API and geemap
-Install the [Earth Engine Python API](https://developers.google.com/earth-engine/python_install) and [geemap](https://github.com/giswqs/geemap). The **geemap** Python package is built upon the [ipyleaflet](https://github.com/jupyter-widgets/ipyleaflet) and [folium](https://github.com/python-visualization/folium) packages and implements several methods for interacting with Earth Engine data layers, such as `Map.addLayer()`, `Map.setCenter()`, and `Map.centerObject()`.
+Install the [Earth Engine Python API](https://developers.google.com/earth-engine/python_install) and [geemap](https://geemap.org). The **geemap** Python package is built upon the [ipyleaflet](https://github.com/jupyter-widgets/ipyleaflet) and [folium](https://github.com/python-visualization/folium) packages and implements several methods for interacting with Earth Engine data layers, such as `Map.addLayer()`, `Map.setCenter()`, and `Map.centerObject()`.
 The following script checks if the geemap package has been installed. If not, it will install geemap, which automatically installs its [dependencies](https://github.com/giswqs/geemap#dependencies), including earthengine-api, folium, and ipyleaflet.
-
-**Important note**: A key difference between folium and ipyleaflet is that ipyleaflet is built upon ipywidgets and allows bidirectional communication between the front-end and the backend enabling the use of the map to capture user input, while folium is meant for displaying static data only ([source](https://blog.jupyter.org/interactive-gis-in-jupyter-with-ipyleaflet-52f9657fa7a)). Note that [Google Colab](https://colab.research.google.com/) currently does not support ipyleaflet ([source](https://github.com/googlecolab/colabtools/issues/60#issuecomment-596225619)). Therefore, if you are using geemap with Google Colab, you should use [`import geemap.eefolium`](https://github.com/giswqs/geemap/blob/master/geemap/eefolium.py). If you are using geemap with [binder](https://mybinder.org/) or a local Jupyter notebook server, you can use [`import geemap`](https://github.com/giswqs/geemap/blob/master/geemap/geemap.py), which provides more functionalities for capturing user input (e.g., mouse-clicking and moving).
 """
 
 # %%
@@ -23,24 +21,12 @@
 try:
     import geemap
 except ImportError:
-    print('geemap package not installed. Installing ...')
+    print('Installing geemap ...')
     subprocess.check_call(["python", '-m', 'pip', 'install', 'geemap'])
 
-# Checks whether this notebook is running on Google Colab
-try:
-    import google.colab
-    import geemap.eefolium as geemap
-except:
-    import geemap
-
-# Authenticates and initializes Earth Engine
+# %%
 import ee
-
-try:
-    ee.Initialize()
-except Exception as e:
-    ee.Authenticate()
-    ee.Initialize()  
+import geemap
 
 # %%
 """

diff --git a/Algorithms/CloudMasking/landsat8_surface_reflectance-copy.ipynb b/Algorithms/CloudMasking/landsat8_surface_reflectance-copy.ipynb
@@ -16,10 +16,8 @@
       "metadata": {},
       "source": [
         "## Install Earth Engine API and geemap\n",
-        "Install the [Earth Engine Python API](https://developers.google.com/earth-engine/python_install) and [geemap](https://github.com/giswqs/geemap). The **geemap** Python package is built upon the [ipyleaflet](https://github.com/jupyter-widgets/ipyleaflet) and [folium](https://github.com/python-visualization/folium) packages and implements several methods for interacting with Earth Engine data layers, such as `Map.addLayer()`, `Map.setCenter()`, and `Map.centerObject()`.\n",
-        "The following script checks if the geemap package has been installed. If not, it will install geemap, which automatically installs its [dependencies](https://github.com/giswqs/geemap#dependencies), including earthengine-api, folium, and ipyleaflet.\n",
-        "\n",
-        "**Important note**: A key difference between folium and ipyleaflet is that ipyleaflet is built upon ipywidgets and allows bidirectional communication between the front-end and the backend enabling the use of the map to capture user input, while folium is meant for displaying static data only ([source](https://blog.jupyter.org/interactive-gis-in-jupyter-with-ipyleaflet-52f9657fa7a)). Note that [Google Colab](https://colab.research.google.com/) currently does not support ipyleaflet ([source](https://github.com/googlecolab/colabtools/issues/60#issuecomment-596225619)). Therefore, if you are using geemap with Google Colab, you should use [`import geemap.eefolium`](https://github.com/giswqs/geemap/blob/master/geemap/eefolium.py). If you are using geemap with [binder](https://mybinder.org/) or a local Jupyter notebook server, you can use [`import geemap`](https://github.com/giswqs/geemap/blob/master/geemap/geemap.py), which provides more functionalities for capturing user input (e.g., mouse-clicking and moving)."
+        "Install the [Earth Engine Python API](https://developers.google.com/earth-engine/python_install) and [geemap](https://geemap.org). The **geemap** Python package is built upon the [ipyleaflet](https://github.com/jupyter-widgets/ipyleaflet) and [folium](https://github.com/python-visualization/folium) packages and implements several methods for interacting with Earth Engine data layers, such as `Map.addLayer()`, `Map.setCenter()`, and `Map.centerObject()`.\n",
+        "The following script checks if the geemap package has been installed. If not, it will install geemap, which automatically installs its [dependencies](https://github.com/giswqs/geemap#dependencies), including earthengine-api, folium, and ipyleaflet."
       ]
     },
     {
@@ -32,24 +30,18 @@
         "try:\n",
         "    import geemap\n",
         "except ImportError:\n",
-        "    print('geemap package not installed. Installing ...')\n",
-        "    subprocess.check_call([\"python\", '-m', 'pip', 'install', 'geemap'])\n",
-        "\n",
-        "# Checks whether this notebook is running on Google Colab\n",
-        "try:\n",
-        "    import google.colab\n",
-        "    import geemap.eefolium as geemap\n",
-        "except:\n",
-        "    import geemap\n",
-        "\n",
-        "# Authenticates and initializes Earth Engine\n",
+        "    print('Installing geemap ...')\n",
+        "    subprocess.check_call([\"python\", '-m', 'pip', 'install', 'geemap'])"
+      ],
+      "outputs": [],
+      "execution_count": null
+    },
+    {
+      "cell_type": "code",
+      "metadata": {},
+      "source": [
         "import ee\n",
-        "\n",
-        "try:\n",
-        "    ee.Initialize()\n",
-        "except Exception as e:\n",
-        "    ee.Authenticate()\n",
-        "    ee.Initialize()  "
+        "import geemap"
       ],
       "outputs": [],
       "execution_count": null
@@ -160,5 +152,5 @@
     }
   },
   "nbformat": 4,
-  "nbformat_minor": 1
+  "nbformat_minor": 4
 }
diff --git a/Algorithms/CloudMasking/landsat8_surface_reflectance-copy.py b/Algorithms/CloudMasking/landsat8_surface_reflectance-copy.py
@@ -10,10 +10,8 @@
 # %%
 """
 ## Install Earth Engine API and geemap
-Install the [Earth Engine Python API](https://developers.google.com/earth-engine/python_install) and [geemap](https://github.com/giswqs/geemap). The **geemap** Python package is built upon the [ipyleaflet](https://github.com/jupyter-widgets/ipyleaflet) and [folium](https://github.com/python-visualization/folium) packages and implements several methods for interacting with Earth Engine data layers, such as `Map.addLayer()`, `Map.setCenter()`, and `Map.centerObject()`.
+Install the [Earth Engine Python API](https://developers.google.com/earth-engine/python_install) and [geemap](https://geemap.org). The **geemap** Python package is built upon the [ipyleaflet](https://github.com/jupyter-widgets/ipyleaflet) and [folium](https://github.com/python-visualization/folium) packages and implements several methods for interacting with Earth Engine data layers, such as `Map.addLayer()`, `Map.setCenter()`, and `Map.centerObject()`.
 The following script checks if the geemap package has been installed. If not, it will install geemap, which automatically installs its [dependencies](https://github.com/giswqs/geemap#dependencies), including earthengine-api, folium, and ipyleaflet.
-
-**Important note**: A key difference between folium and ipyleaflet is that ipyleaflet is built upon ipywidgets and allows bidirectional communication between the front-end and the backend enabling the use of the map to capture user input, while folium is meant for displaying static data only ([source](https://blog.jupyter.org/interactive-gis-in-jupyter-with-ipyleaflet-52f9657fa7a)). Note that [Google Colab](https://colab.research.google.com/) currently does not support ipyleaflet ([source](https://github.com/googlecolab/colabtools/issues/60#issuecomment-596225619)). Therefore, if you are using geemap with Google Colab, you should use [`import geemap.eefolium`](https://github.com/giswqs/geemap/blob/master/geemap/eefolium.py). If you are using geemap with [binder](https://mybinder.org/) or a local Jupyter notebook server, you can use [`import geemap`](https://github.com/giswqs/geemap/blob/master/geemap/geemap.py), which provides more functionalities for capturing user input (e.g., mouse-clicking and moving).
 """
 
 # %%
@@ -23,24 +21,12 @@
 try:
     import geemap
 except ImportError:
-    print('geemap package not installed. Installing ...')
+    print('Installing geemap ...')
     subprocess.check_call(["python", '-m', 'pip', 'install', 'geemap'])
 
-# Checks whether this notebook is running on Google Colab
-try:
-    import google.colab
-    import geemap.eefolium as geemap
-except:
-    import geemap
-
-# Authenticates and initializes Earth Engine
+# %%
 import ee
-
-try:
-    ee.Initialize()
-except Exception as e:
-    ee.Authenticate()
-    ee.Initialize()  
+import geemap
 
 # %%
 """

diff --git a/Algorithms/CloudMasking/landsat8_toa_reflectance_qa_band.ipynb b/Algorithms/CloudMasking/landsat8_toa_reflectance_qa_band.ipynb
@@ -16,10 +16,8 @@
       "metadata": {},
       "source": [
         "## Install Earth Engine API and geemap\n",
-        "Install the [Earth Engine Python API](https://developers.google.com/earth-engine/python_install) and [geemap](https://github.com/giswqs/geemap). The **geemap** Python package is built upon the [ipyleaflet](https://github.com/jupyter-widgets/ipyleaflet) and [folium](https://github.com/python-visualization/folium) packages and implements several methods for interacting with Earth Engine data layers, such as `Map.addLayer()`, `Map.setCenter()`, and `Map.centerObject()`.\n",
-        "The following script checks if the geemap package has been installed. If not, it will install geemap, which automatically installs its [dependencies](https://github.com/giswqs/geemap#dependencies), including earthengine-api, folium, and ipyleaflet.\n",
-        "\n",
-        "**Important note**: A key difference between folium and ipyleaflet is that ipyleaflet is built upon ipywidgets and allows bidirectional communication between the front-end and the backend enabling the use of the map to capture user input, while folium is meant for displaying static data only ([source](https://blog.jupyter.org/interactive-gis-in-jupyter-with-ipyleaflet-52f9657fa7a)). Note that [Google Colab](https://colab.research.google.com/) currently does not support ipyleaflet ([source](https://github.com/googlecolab/colabtools/issues/60#issuecomment-596225619)). Therefore, if you are using geemap with Google Colab, you should use [`import geemap.eefolium`](https://github.com/giswqs/geemap/blob/master/geemap/eefolium.py). If you are using geemap with [binder](https://mybinder.org/) or a local Jupyter notebook server, you can use [`import geemap`](https://github.com/giswqs/geemap/blob/master/geemap/geemap.py), which provides more functionalities for capturing user input (e.g., mouse-clicking and moving)."
+        "Install the [Earth Engine Python API](https://developers.google.com/earth-engine/python_install) and [geemap](https://geemap.org). The **geemap** Python package is built upon the [ipyleaflet](https://github.com/jupyter-widgets/ipyleaflet) and [folium](https://github.com/python-visualization/folium) packages and implements several methods for interacting with Earth Engine data layers, such as `Map.addLayer()`, `Map.setCenter()`, and `Map.centerObject()`.\n",
+        "The following script checks if the geemap package has been installed. If not, it will install geemap, which automatically installs its [dependencies](https://github.com/giswqs/geemap#dependencies), including earthengine-api, folium, and ipyleaflet."
       ]
     },
     {
@@ -32,24 +30,18 @@
         "try:\n",
         "    import geemap\n",
         "except ImportError:\n",
-        "    print('geemap package not installed. Installing ...')\n",
-        "    subprocess.check_call([\"python\", '-m', 'pip', 'install', 'geemap'])\n",
-        "\n",
-        "# Checks whether this notebook is running on Google Colab\n",
-        "try:\n",
-        "    import google.colab\n",
-        "    import geemap.eefolium as geemap\n",
-        "except:\n",
-        "    import geemap\n",
-        "\n",
-        "# Authenticates and initializes Earth Engine\n",
+        "    print('Installing geemap ...')\n",
+        "    subprocess.check_call([\"python\", '-m', 'pip', 'install', 'geemap'])"
+      ],
+      "outputs": [],
+      "execution_count": null
+    },
+    {
+      "cell_type": "code",
+      "metadata": {},
+      "source": [
         "import ee\n",
-        "\n",
-        "try:\n",
-        "    ee.Initialize()\n",
-        "except Exception as e:\n",
-        "    ee.Authenticate()\n",
-        "    ee.Initialize()  "
+        "import geemap"
       ],
       "outputs": [],
       "execution_count": null
@@ -148,5 +140,5 @@
     }
   },
   "nbformat": 4,
-  "nbformat_minor": 1
+  "nbformat_minor": 4
 }