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Update EarthCube notebook
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giswqs committed Jun 21, 2023
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28 changes: 8 additions & 20 deletions docs/workshops/EarthCube_2023.ipynb
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"\n",
"**Interactive Geospatial Analysis and Data Visualization with Leafmap**\n",
"\n",
"This [notebook](https://leafmap.org/workshops/EarthCube_2023) provides an introduction to interactive geospatial analysis and data visualization with leafmap. It is designed for the notebook demo at the [EarthCube 2023](https://isi-usc-edu.github.io/building-upon-the-earthcube-community). "
"This [notebook](https://leafmap.org/workshops/EarthCube_2023) provides an introduction to interactive geospatial analysis and data visualization with leafmap. It is designed for the notebook demo at the [EarthCube 2023](https://isi-usc-edu.github.io/building-upon-the-earthcube-community)."
]
},
{
Expand All @@ -20,7 +20,7 @@
"source": [
"## Installation\n",
"\n",
"Uncomment and run the following cell to install necessary packages for this notebook. **Restart the kernel/runtime after installation**. "
"Uncomment and run the following cell to install necessary packages for this notebook. **Restart the kernel/runtime after installation**."
]
},
{
Expand Down Expand Up @@ -231,6 +231,8 @@
"cell_type": "markdown",
"metadata": {},
"source": [
"## SpatioTemporal Asset Catalog\n",
"\n",
"The SpatioTemporal Asset Catalog (STAC) specification provides a common language to describe a range of geospatial information so that it can more easily be indexed and discovered. A **SpatioTemporal Asset** is any file that represents information about the earth captured in a certain space and time. STAC aims to enable that next generation of geospatial search engines, while also supporting web best practices so geospatial information is more easily surfaced in traditional search engines. More information about STAC can be found at the [STAC website](https://stacspec.org/). The [STAC Index website](https://stacindex.org/) is a one-stop-shop for discovering STAC catalogs, collections, APIs, software and tools. In this example, we will use the [STAC SPOT Orthoimages of Canada](https://stacindex.org/catalogs/spot-orthoimages-canada-2005)."
]
},
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"cell_type": "markdown",
"metadata": {},
"source": [
"### GeoPandas supported vector format"
"### Other vector formats"
]
},
{
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"cell_type": "markdown",
"metadata": {},
"source": [
"### Add points from XY coordinates"
"### XY coordinates"
]
},
{
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"cell_type": "markdown",
"metadata": {},
"source": [
"\n",
"The image sources (downloadable URLs) are stored in the uuid column of the GeoDataFrame."
]
},
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"cell_type": "markdown",
"metadata": {},
"source": [
"\n",
"Download all images using the download_files() function."
]
},
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"m.add_gdf(gdf, layer_name='Footprints')\n",
"m.add_cog_layer(images[0], nodata=0, name='OpenAerialMap')\n",
"# m.add_tile_layer(tiles[0], attribution='OpenAerialMap', name='OpenAerialMap')\n",
"m\n"
"m"
]
},
{
Expand All @@ -543,7 +543,7 @@
"source": [
"## AWS Open Data\n",
"\n",
"The [AWS Open Data Program](https://registry.opendata.aws/) hosts a lots of open and public datasets on AWS, including Landsat 8, Sentinel-2, NAIP, and many more. Check out https://github.com/opengeos#data-catalogs for a list of open and public datasets on AWS.\n"
"The [AWS Open Data Program](https://registry.opendata.aws/) hosts a lots of open and public datasets on AWS, including Landsat 8, Sentinel-2, NAIP, and many more. Check out https://github.com/opengeos#data-catalogs for a list of open and public datasets on AWS."
]
},
{
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"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": "3.10.9"
}
},
"nbformat": 4,
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28 changes: 8 additions & 20 deletions examples/workshops/EarthCube_2023.ipynb
View file
Original file line number Diff line number Diff line change
Expand Up @@ -11,7 +11,7 @@
"\n",
"**Interactive Geospatial Analysis and Data Visualization with Leafmap**\n",
"\n",
"This [notebook](https://leafmap.org/workshops/EarthCube_2023) provides an introduction to interactive geospatial analysis and data visualization with leafmap. It is designed for the notebook demo at the [EarthCube 2023](https://isi-usc-edu.github.io/building-upon-the-earthcube-community). "
"This [notebook](https://leafmap.org/workshops/EarthCube_2023) provides an introduction to interactive geospatial analysis and data visualization with leafmap. It is designed for the notebook demo at the [EarthCube 2023](https://isi-usc-edu.github.io/building-upon-the-earthcube-community)."
]
},
{
Expand All @@ -20,7 +20,7 @@
"source": [
"## Installation\n",
"\n",
"Uncomment and run the following cell to install necessary packages for this notebook. **Restart the kernel/runtime after installation**. "
"Uncomment and run the following cell to install necessary packages for this notebook. **Restart the kernel/runtime after installation**."
]
},
{
Expand Down Expand Up @@ -231,6 +231,8 @@
"cell_type": "markdown",
"metadata": {},
"source": [
"## SpatioTemporal Asset Catalog\n",
"\n",
"The SpatioTemporal Asset Catalog (STAC) specification provides a common language to describe a range of geospatial information so that it can more easily be indexed and discovered. A **SpatioTemporal Asset** is any file that represents information about the earth captured in a certain space and time. STAC aims to enable that next generation of geospatial search engines, while also supporting web best practices so geospatial information is more easily surfaced in traditional search engines. More information about STAC can be found at the [STAC website](https://stacspec.org/). The [STAC Index website](https://stacindex.org/) is a one-stop-shop for discovering STAC catalogs, collections, APIs, software and tools. In this example, we will use the [STAC SPOT Orthoimages of Canada](https://stacindex.org/catalogs/spot-orthoimages-canada-2005)."
]
},
Expand Down Expand Up @@ -309,7 +311,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
"### GeoPandas supported vector format"
"### Other vector formats"
]
},
{
Expand Down Expand Up @@ -350,7 +352,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
"### Add points from XY coordinates"
"### XY coordinates"
]
},
{
Expand Down Expand Up @@ -467,7 +469,6 @@
"cell_type": "markdown",
"metadata": {},
"source": [
"\n",
"The image sources (downloadable URLs) are stored in the uuid column of the GeoDataFrame."
]
},
Expand All @@ -485,7 +486,6 @@
"cell_type": "markdown",
"metadata": {},
"source": [
"\n",
"Download all images using the download_files() function."
]
},
Expand Down Expand Up @@ -516,7 +516,7 @@
"m.add_gdf(gdf, layer_name='Footprints')\n",
"m.add_cog_layer(images[0], nodata=0, name='OpenAerialMap')\n",
"# m.add_tile_layer(tiles[0], attribution='OpenAerialMap', name='OpenAerialMap')\n",
"m\n"
"m"
]
},
{
Expand All @@ -543,7 +543,7 @@
"source": [
"## AWS Open Data\n",
"\n",
"The [AWS Open Data Program](https://registry.opendata.aws/) hosts a lots of open and public datasets on AWS, including Landsat 8, Sentinel-2, NAIP, and many more. Check out https://github.com/opengeos#data-catalogs for a list of open and public datasets on AWS.\n"
"The [AWS Open Data Program](https://registry.opendata.aws/) hosts a lots of open and public datasets on AWS, including Landsat 8, Sentinel-2, NAIP, and many more. Check out https://github.com/opengeos#data-catalogs for a list of open and public datasets on AWS."
]
},
{
Expand Down Expand Up @@ -867,18 +867,6 @@
"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": "3.10.9"
}
},
"nbformat": 4,
Expand Down

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