update

Author: JohnnyRyan1

book/_build/.doctrees/activities/08-activity.doctree

@@ -91,7 +91,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.9"
+   "version": "3.9.18"
   }
  },
  "nbformat": 4,

book/_build/.doctrees/activities/09-activity.doctree

@@ -128,7 +128,11 @@
     "May have to drop the `index_right` columns before running this function.\n",
     "```\n",
     "\n",
-    "* g) Make a plot of buildings in Harney County that are within 1/2 mile of the highway using `explore()`."
+    "* g) Make a plot of buildings in Harney County that are within 1/2 mile of the highway using `explore()`.\n",
+    "\n",
+    "```{important} \n",
+    "Save your notebook to your local course folder and submit assignment (in **.pdf** format) to Canvas by the deadline.\n",
+    "```"
    ]
   },
   {
@@ -156,7 +160,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.12"
+   "version": "3.9.18"
   }
  },
  "nbformat": 4,

book/_build/.doctrees/assignments/10-assignment.doctree

@@ -0,0 +1,64 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "d2bc3def",
+   "metadata": {},
+   "source": [
+    "# Practice activity\n",
+    "\n",
+    "If you have installed Python locally, launch JupyterLab by running:\n",
+    "\n",
+    "```\n",
+    "conda activate sds\n",
+    "```\n",
+    "and\n",
+    "\n",
+    "```\n",
+    "jupyter lab\n",
+    "```\n",
+    "\n",
+    "*****************************\n",
+    "\n",
+    "## Remote sensing in Python\n",
+    "\n",
+    "## Task 1 (10 points)\n",
+    "\n",
+    "* a) Download the Landsat data from [here](https://www.dropbox.com/sh/k3bkxwa2j9fovta/AADX4yZiIAEHiG9VPcyCON2pa?dl=0).\n",
+    "\n",
+    "* b) Read each band (i.e. `src1 = rasterio.open(files[0])`) and scale the values between 0 and 1 by dividing by the maximum value of a 16-bit integer (i.e. `band1 = src1.read(1) / 65536`).\n",
+    "\n",
+    "* c) Compute all eight of the spectral indices on [this website](https://www.usgs.gov/landsat-missions/landsat-surface-reflectance-derived-spectral-indices). For each index, make a plot (with a colorbar and a different colormap for each one) to show your answers.\n",
+    "\n",
+    "```{note}\n",
+    "Note that the images we are using are from **Landsat 8**.\n",
+    "```\n",
+    "\n",
+    "```{important} \n",
+    "Save your notebook to your local course folder and submit assignment (in **.pdf** format) to Canvas by the deadline.\n",
+    "```\n"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.18"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

book/_build/.doctrees/environment.pickle

@@ -31,24 +31,6 @@ Download elevation data for Mt Rainier [here](https://www.dropbox.com/s/ej4rdh93
 
 * d) Which five glaciers span the most elevation (i.e. difference between maximum and minimum elevation)? 
 
-*****************************
-
-## Task 2 (15 points)
-
-Download the Landsat data from [here](https://www.dropbox.com/sh/k3bkxwa2j9fovta/AADX4yZiIAEHiG9VPcyCON2pa?dl=0).
-
-* a) Compute a [Normalized Difference Vegetation Index](https://www.usgs.gov/landsat-missions/landsat-normalized-difference-vegetation-index) using bands 4 and 5. 
-
-* b) Compute a [Normalized Difference Moisture Index](https://www.usgs.gov/landsat-missions/normalized-difference-moisture-index) using bands 5 and 6.
-
-* c) Find the area of water in the **NDWI** image.
-
-* d) Find the area of sand in **Band 1** image 
-
-* e) Calculate the area of **healthy vegetation** and **non-vegetation** in the **NDVI** image. Note that you may need to subtract the sand and water pixels from non-vegetation classification - a pixel should only have one land cover. 
-
-* f) Compute the area of all four land covers in $km^{2}$.
-
 
 *****************************
 

book/_build/.doctrees/intro.doctree

@@ -319,6 +319,11 @@ <h1 class="site-logo" id="site-title">Programming for spatial data science</h1>
    Assignment 8
   </a>
  </li>
+ <li class="toctree-l1">
+  <a class="reference internal" href="08-activity.html">
+   Practice activity
+  </a>
+ </li>
 </ul>
 <p aria-level="2" class="caption" role="heading">
  <span class="caption-text">
@@ -341,6 +346,11 @@ <h1 class="site-logo" id="site-title">Programming for spatial data science</h1>
    Assignment 9
   </a>
  </li>
+ <li class="toctree-l1">
+  <a class="reference internal" href="09-activity.html">
+   Practice activity
+  </a>
+ </li>
 </ul>
 <p aria-level="2" class="caption" role="heading">
  <span class="caption-text">