From 98077c03038d678b93559fa4081ee313ae9c8977 Mon Sep 17 00:00:00 2001
From: Qiusheng Wu <giswqs@gmail.com>
Date: Fri, 1 Mar 2024 08:51:16 -0500
Subject: [PATCH] Fix notebook 88 error (#696)

* Fix notebook 88 error

* Comment out installation
---
 docs/notebooks/88_nasa_earth_data.ipynb     | 46 +++++++++++++--------
 examples/notebooks/88_nasa_earth_data.ipynb | 46 +++++++++++++--------
 2 files changed, 56 insertions(+), 36 deletions(-)

diff --git a/docs/notebooks/88_nasa_earth_data.ipynb b/docs/notebooks/88_nasa_earth_data.ipynb
index 2b4c818ab7..cf5f5bfd28 100644
--- a/docs/notebooks/88_nasa_earth_data.ipynb
+++ b/docs/notebooks/88_nasa_earth_data.ipynb
@@ -22,6 +22,16 @@
    "id": "1",
    "metadata": {},
    "outputs": [],
+   "source": [
+    "# %pip install leafmap earthaccess mapclassify"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "2",
+   "metadata": {},
+   "outputs": [],
    "source": [
     "import leafmap\n",
     "import pandas as pd"
@@ -29,7 +39,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "2",
+   "id": "3",
    "metadata": {},
    "source": [
     "To download and access the data, you will need to create an Earthdata login. You can register for an account at [urs.earthdata.nasa.gov](https://urs.earthdata.nasa.gov)."
@@ -38,7 +48,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "3",
+   "id": "4",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -47,7 +57,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "4",
+   "id": "5",
    "metadata": {},
    "source": [
     "You can search data by short name, doi, concept id, etc. You can find the list of NASA Earth science data products from the [NASA-Earth-Data](https://github.com/opengeos/NASA-Earth-Data) repo. The example below shows how to show the metadata of the 9,000+ NASA Earth science data products."
@@ -56,7 +66,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "5",
+   "id": "6",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -67,7 +77,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "6",
+   "id": "7",
    "metadata": {},
    "source": [
     "To search data, specify the short name, bounding box, date range, etc. To return the footprints of the data, set `return_gdf=True`."
@@ -76,7 +86,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "7",
+   "id": "8",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -92,7 +102,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "8",
+   "id": "9",
    "metadata": {},
    "source": [
     "Visualize the footprints of the data on an interactive map."
@@ -101,7 +111,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "9",
+   "id": "10",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -110,7 +120,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "10",
+   "id": "11",
    "metadata": {},
    "source": [
     "Download the data to your local drive. Let's download the first 5 data products."
@@ -119,7 +129,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "11",
+   "id": "12",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -128,7 +138,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "12",
+   "id": "13",
    "metadata": {},
    "source": [
     "Use the interactive GUI to search and download data."
@@ -137,7 +147,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "13",
+   "id": "14",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -147,7 +157,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "14",
+   "id": "15",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -158,7 +168,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "15",
+   "id": "16",
    "metadata": {},
    "source": [
     "![](https://i.imgur.com/yGRCfsb.png)"
@@ -166,7 +176,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "16",
+   "id": "17",
    "metadata": {},
    "source": [
     "To access the search results as a GeoDataFrame:"
@@ -175,7 +185,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "17",
+   "id": "18",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -184,7 +194,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "18",
+   "id": "19",
    "metadata": {},
    "source": [
     "To download the data:"
@@ -193,7 +203,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "19",
+   "id": "20",
    "metadata": {},
    "outputs": [],
    "source": [
diff --git a/examples/notebooks/88_nasa_earth_data.ipynb b/examples/notebooks/88_nasa_earth_data.ipynb
index 2b4c818ab7..cf5f5bfd28 100644
--- a/examples/notebooks/88_nasa_earth_data.ipynb
+++ b/examples/notebooks/88_nasa_earth_data.ipynb
@@ -22,6 +22,16 @@
    "id": "1",
    "metadata": {},
    "outputs": [],
+   "source": [
+    "# %pip install leafmap earthaccess mapclassify"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "2",
+   "metadata": {},
+   "outputs": [],
    "source": [
     "import leafmap\n",
     "import pandas as pd"
@@ -29,7 +39,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "2",
+   "id": "3",
    "metadata": {},
    "source": [
     "To download and access the data, you will need to create an Earthdata login. You can register for an account at [urs.earthdata.nasa.gov](https://urs.earthdata.nasa.gov)."
@@ -38,7 +48,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "3",
+   "id": "4",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -47,7 +57,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "4",
+   "id": "5",
    "metadata": {},
    "source": [
     "You can search data by short name, doi, concept id, etc. You can find the list of NASA Earth science data products from the [NASA-Earth-Data](https://github.com/opengeos/NASA-Earth-Data) repo. The example below shows how to show the metadata of the 9,000+ NASA Earth science data products."
@@ -56,7 +66,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "5",
+   "id": "6",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -67,7 +77,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "6",
+   "id": "7",
    "metadata": {},
    "source": [
     "To search data, specify the short name, bounding box, date range, etc. To return the footprints of the data, set `return_gdf=True`."
@@ -76,7 +86,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "7",
+   "id": "8",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -92,7 +102,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "8",
+   "id": "9",
    "metadata": {},
    "source": [
     "Visualize the footprints of the data on an interactive map."
@@ -101,7 +111,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "9",
+   "id": "10",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -110,7 +120,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "10",
+   "id": "11",
    "metadata": {},
    "source": [
     "Download the data to your local drive. Let's download the first 5 data products."
@@ -119,7 +129,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "11",
+   "id": "12",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -128,7 +138,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "12",
+   "id": "13",
    "metadata": {},
    "source": [
     "Use the interactive GUI to search and download data."
@@ -137,7 +147,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "13",
+   "id": "14",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -147,7 +157,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "14",
+   "id": "15",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -158,7 +168,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "15",
+   "id": "16",
    "metadata": {},
    "source": [
     "![](https://i.imgur.com/yGRCfsb.png)"
@@ -166,7 +176,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "16",
+   "id": "17",
    "metadata": {},
    "source": [
     "To access the search results as a GeoDataFrame:"
@@ -175,7 +185,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "17",
+   "id": "18",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -184,7 +194,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "18",
+   "id": "19",
    "metadata": {},
    "source": [
     "To download the data:"
@@ -193,7 +203,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "19",
+   "id": "20",
    "metadata": {},
    "outputs": [],
    "source": [