install code changed

Author: Supratim Banik

samples/04_gis_analysts_data_scientists/cloud_detector_part1_cloudless_sentinel_&_unsupervised.ipynb

@@ -119,7 +119,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "855756a4",
+   "id": "426d9ff6",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1499,7 +1499,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "2b2774fb",
+   "id": "085f5391",
    "metadata": {},
    "source": [
     "Here, the imagery name is rgbnir_iowa.tif, and the name of the 4 bands of blue, green, red, and near infrared are small_rgb_iowa3, small_rgb_iowa3_1, small_rgb_iowa3_2, small_rgb_iowa3_3 respectively. These bands will be used for defining the preprocessors."
@@ -1895,7 +1895,7 @@
     "\n",
     "In this sample notebook, two methods were described to create cloud masks from satellite images. A third method will be described in the second part of this notebook series.\n",
     "\n",
-    "The cloudless sentinel package performed well in detecting clouds and provides flexibility to the user to detect different intensities of clouds by changing the model's initialization parameters. However, the core caveat of this model is that it can only be used on Sentinel imagery.\n",
+    "In the first method the cloudless sentinel package performed well in detecting clouds and provides flexibility to the user to detect different intensities of clouds by changing the model's initialization parameters. However, the core caveat of this model is that it can only be used on Sentinel imagery.\n",
     "\n",
     "The second method performed well with scenes where there were only clouds, and has the benefit of being able to run an analysis on any kind of imagery like Sentinel, Landsat, Surface reflectance etc. The model can also be used for automatically labelling training data for a pixel classification cloud detection model, which will be covered in the next part."
    ]