Add lab 5

giswqs · Sep 29, 2023 · 92802b4 · 92802b4
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diff --git a/book/labs/lab_04.md b/book/labs/lab_04.md
@@ -4,7 +4,7 @@ jupytext:
     extension: .md
     format_name: myst
     format_version: 0.13
-    jupytext_version: 1.15.1
+    jupytext_version: 1.15.0
 kernelspec:
   display_name: Python 3
   language: python

diff --git a/book/labs/lab_05.ipynb b/book/labs/lab_05.ipynb
@@ -0,0 +1,184 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Lab 5\n",
+    "\n",
+    "**Firstname Lastname**\n",
+    "\n",
+    "**Submission instructions**\n",
+    "\n",
+    "Submit the Colab link to your notebook in Canvas. In addition, take screenshots of the map for each question and submit them to Canvas as well."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import ee\n",
+    "import geemap"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "geemap.ee_initialize()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "tags": []
+   },
+   "source": [
+    "## Question 1\n",
+    "\n",
+    "Visualize the [USGS Watershed Boundary Dataset](https://developers.google.com/earth-engine/datasets/catalog/USGS_WBD_2017_HUC04) with outline color only, no fill color."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Add your code here."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "![](https://i.imgur.com/PLlNFq3.png)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Question 2 \n",
+    "\n",
+    "Filter the USGS Watershed Boundary dataset and select the watershed that intersects the county of your choice."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Add your code here."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "![](https://i.imgur.com/F2QfqZu.png)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Question 3\n",
+    "\n",
+    "Clip the [USGS 3DEP 10m DEM](https://developers.google.com/earth-engine/datasets/catalog/USGS_3DEP_10m) with the watershed that intersects the county of your choice. Display the DEM with a proper color palette and color bar."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Add your code here."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "![](https://i.imgur.com/okR39pf.png)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Question 4\n",
+    "\n",
+    "Use the [USGS National Land Cover Database](https://developers.google.com/earth-engine/datasets/catalog/USGS_NLCD_RELEASES_2019_REL_NLCD) and [US Census States](https://developers.google.com/earth-engine/datasets/catalog/TIGER_2018_States) to create a split-panel map for visualizing land cover change (2001-2019) for a US state of your choice. Make sure you add the NLCD legend to the map."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Add your code here."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "![](https://i.imgur.com/Au7Q5Ln.png)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Questions 5\n",
+    "\n",
+    "Download OpenStreetMap data for a city of your choice and visualize the city boundary and restaurants in the city."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Add your code here."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "![](https://i.imgur.com/AUlO1CV.png)"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "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": "3.11.4"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/book/labs/lab_05.md b/book/labs/lab_05.md
@@ -0,0 +1,87 @@
+---
+jupytext:
+  text_representation:
+    extension: .md
+    format_name: myst
+    format_version: 0.13
+    jupytext_version: 1.15.0
+kernelspec:
+  display_name: Python 3
+  language: python
+  name: python3
+---
+
+# Lab 5
+
+**Firstname Lastname**
+
+**Submission instructions**
+
+Submit the Colab link to your notebook in Canvas. In addition, take screenshots of the map for each question and submit them to Canvas as well.
+
+```{code-cell} ipython3
+import ee
+import geemap
+```
+
+```{code-cell} ipython3
+geemap.ee_initialize()
+```
+
+## Question 1
+
+Visualize the [USGS Watershed Boundary Dataset](https://developers.google.com/earth-engine/datasets/catalog/USGS_WBD_2017_HUC04) with outline color only, no fill color.
+
+```{code-cell} ipython3
+# Add your code here.
+```
+
+![](https://i.imgur.com/PLlNFq3.png)
+
++++
+
+## Question 2 
+
+Filter the USGS Watershed Boundary dataset and select the watershed that intersects the county of your choice.
+
+```{code-cell} ipython3
+# Add your code here.
+```
+
+![](https://i.imgur.com/F2QfqZu.png)
+
++++
+
+## Question 3
+
+Clip the [USGS 3DEP 10m DEM](https://developers.google.com/earth-engine/datasets/catalog/USGS_3DEP_10m) with the watershed that intersects the county of your choice. Display the DEM with a proper color palette and color bar.
+
+```{code-cell} ipython3
+# Add your code here.
+```
+
+![](https://i.imgur.com/okR39pf.png)
+
++++
+
+## Question 4
+
+Use the [USGS National Land Cover Database](https://developers.google.com/earth-engine/datasets/catalog/USGS_NLCD_RELEASES_2019_REL_NLCD) and [US Census States](https://developers.google.com/earth-engine/datasets/catalog/TIGER_2018_States) to create a split-panel map for visualizing land cover change (2001-2019) for a US state of your choice. Make sure you add the NLCD legend to the map.
+
+```{code-cell} ipython3
+# Add your code here.
+```
+
+![](https://i.imgur.com/Au7Q5Ln.png)
+
++++
+
+## Questions 5
+
+Download OpenStreetMap data for a city of your choice and visualize the city boundary and restaurants in the city.
+
+```{code-cell} ipython3
+# Add your code here.
+```
+
+![](https://i.imgur.com/AUlO1CV.png)