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Fix notebook 88 error (#696)
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* Fix notebook 88 error

* Comment out installation
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@giswqs
giswqs committed Mar 1, 2024
1 parent 1b483db commit 98077c0
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Showing 2 changed files with 56 additions and 36 deletions.
46 changes: 28 additions & 18 deletions docs/notebooks/88_nasa_earth_data.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -22,14 +22,24 @@
"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"
]
},
{
"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)."
Expand All @@ -38,7 +48,7 @@
{
"cell_type": "code",
"execution_count": null,
"id": "3",
"id": "4",
"metadata": {},
"outputs": [],
"source": [
Expand All @@ -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."
Expand All @@ -56,7 +66,7 @@
{
"cell_type": "code",
"execution_count": null,
"id": "5",
"id": "6",
"metadata": {},
"outputs": [],
"source": [
Expand All @@ -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`."
Expand All @@ -76,7 +86,7 @@
{
"cell_type": "code",
"execution_count": null,
"id": "7",
"id": "8",
"metadata": {},
"outputs": [],
"source": [
Expand All @@ -92,7 +102,7 @@
},
{
"cell_type": "markdown",
"id": "8",
"id": "9",
"metadata": {},
"source": [
"Visualize the footprints of the data on an interactive map."
Expand All @@ -101,7 +111,7 @@
{
"cell_type": "code",
"execution_count": null,
"id": "9",
"id": "10",
"metadata": {},
"outputs": [],
"source": [
Expand All @@ -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."
Expand All @@ -119,7 +129,7 @@
{
"cell_type": "code",
"execution_count": null,
"id": "11",
"id": "12",
"metadata": {},
"outputs": [],
"source": [
Expand All @@ -128,7 +138,7 @@
},
{
"cell_type": "markdown",
"id": "12",
"id": "13",
"metadata": {},
"source": [
"Use the interactive GUI to search and download data."
Expand All @@ -137,7 +147,7 @@
{
"cell_type": "code",
"execution_count": null,
"id": "13",
"id": "14",
"metadata": {},
"outputs": [],
"source": [
Expand All @@ -147,7 +157,7 @@
{
"cell_type": "code",
"execution_count": null,
"id": "14",
"id": "15",
"metadata": {},
"outputs": [],
"source": [
Expand All @@ -158,15 +168,15 @@
},
{
"cell_type": "markdown",
"id": "15",
"id": "16",
"metadata": {},
"source": [
"![](https://i.imgur.com/yGRCfsb.png)"
]
},
{
"cell_type": "markdown",
"id": "16",
"id": "17",
"metadata": {},
"source": [
"To access the search results as a GeoDataFrame:"
Expand All @@ -175,7 +185,7 @@
{
"cell_type": "code",
"execution_count": null,
"id": "17",
"id": "18",
"metadata": {},
"outputs": [],
"source": [
Expand All @@ -184,7 +194,7 @@
},
{
"cell_type": "markdown",
"id": "18",
"id": "19",
"metadata": {},
"source": [
"To download the data:"
Expand All @@ -193,7 +203,7 @@
{
"cell_type": "code",
"execution_count": null,
"id": "19",
"id": "20",
"metadata": {},
"outputs": [],
"source": [
Expand Down
46 changes: 28 additions & 18 deletions examples/notebooks/88_nasa_earth_data.ipynb
View file
Original file line number Diff line number Diff line change
Expand Up @@ -22,14 +22,24 @@
"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"
]
},
{
"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)."
Expand All @@ -38,7 +48,7 @@
{
"cell_type": "code",
"execution_count": null,
"id": "3",
"id": "4",
"metadata": {},
"outputs": [],
"source": [
Expand All @@ -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."
Expand All @@ -56,7 +66,7 @@
{
"cell_type": "code",
"execution_count": null,
"id": "5",
"id": "6",
"metadata": {},
"outputs": [],
"source": [
Expand All @@ -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`."
Expand All @@ -76,7 +86,7 @@
{
"cell_type": "code",
"execution_count": null,
"id": "7",
"id": "8",
"metadata": {},
"outputs": [],
"source": [
Expand All @@ -92,7 +102,7 @@
},
{
"cell_type": "markdown",
"id": "8",
"id": "9",
"metadata": {},
"source": [
"Visualize the footprints of the data on an interactive map."
Expand All @@ -101,7 +111,7 @@
{
"cell_type": "code",
"execution_count": null,
"id": "9",
"id": "10",
"metadata": {},
"outputs": [],
"source": [
Expand All @@ -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."
Expand All @@ -119,7 +129,7 @@
{
"cell_type": "code",
"execution_count": null,
"id": "11",
"id": "12",
"metadata": {},
"outputs": [],
"source": [
Expand All @@ -128,7 +138,7 @@
},
{
"cell_type": "markdown",
"id": "12",
"id": "13",
"metadata": {},
"source": [
"Use the interactive GUI to search and download data."
Expand All @@ -137,7 +147,7 @@
{
"cell_type": "code",
"execution_count": null,
"id": "13",
"id": "14",
"metadata": {},
"outputs": [],
"source": [
Expand All @@ -147,7 +157,7 @@
{
"cell_type": "code",
"execution_count": null,
"id": "14",
"id": "15",
"metadata": {},
"outputs": [],
"source": [
Expand All @@ -158,15 +168,15 @@
},
{
"cell_type": "markdown",
"id": "15",
"id": "16",
"metadata": {},
"source": [
"![](https://i.imgur.com/yGRCfsb.png)"
]
},
{
"cell_type": "markdown",
"id": "16",
"id": "17",
"metadata": {},
"source": [
"To access the search results as a GeoDataFrame:"
Expand All @@ -175,7 +185,7 @@
{
"cell_type": "code",
"execution_count": null,
"id": "17",
"id": "18",
"metadata": {},
"outputs": [],
"source": [
Expand All @@ -184,7 +194,7 @@
},
{
"cell_type": "markdown",
"id": "18",
"id": "19",
"metadata": {},
"source": [
"To download the data:"
Expand All @@ -193,7 +203,7 @@
{
"cell_type": "code",
"execution_count": null,
"id": "19",
"id": "20",
"metadata": {},
"outputs": [],
"source": [
Expand Down

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