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updated for publish
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jhbravo committed Nov 27, 2024
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2 changes: 1 addition & 1 deletion _config.yml
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Expand Up @@ -8,7 +8,7 @@ copyright: "2024"

execute:
# To execute notebooks via a Binder instead, replace 'cache' with 'binder'
execute_notebooks: binder
execute_notebooks: cache
timeout: 600
allow_errors: False # cells with expected failures must set the `raises-exception` cell tag

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10 changes: 5 additions & 5 deletions _toc.yml
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Expand Up @@ -6,11 +6,11 @@ parts:
- file: notebooks/how-to-cite
- caption: Introduction
chapters:
# - file: notebooks/notebook-template
- file: notebooks/03_geosat_AHI_HIMAWARI
- file: notebooks/04_geosat_AMI_GK2A
- file: notebooks/99_auxiliar_dowloading
- file: notebooks/notebook-template
- file: notebooks/00_geosat_explaining_steps
- file: notebooks/01_geosat_ABI_GOES_east
- file: notebooks/01_geosat_GOESR
- file: notebooks/02_geosat_ABI_GOES_west
- file: notebooks/02_geosat_ABI_GOES_west
- file: notebooks/03_geosat_AHI_HIMAWARI
- file: notebooks/04_geosat_AMI_GK2A
- file: notebooks/99_auxiliar_dowloading
14 changes: 10 additions & 4 deletions notebooks/00_geosat_explaining_steps.ipynb
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Expand Up @@ -1147,7 +1147,7 @@
"# This step involves visualizing the loaded dataset using the 'show' method, which renders the satellite image according to the data's true or natural color representation.\n",
"# Visualizing data in this way is particularly useful for presentations and educational purposes, providing a realistic view of earth's features such as vegetation, water bodies, and urban areas.\n",
"\n",
"lscn.show(\"natural_color\")\n",
"# lscn.show(\"natural_color\")\n",
"\n",
"# This visualization step is crucial for analyzing environmental and atmospheric conditions,\n",
"# as it allows observers to easily identify and assess visible features without the need for specialized image interpretation skills."
Expand All @@ -1168,7 +1168,9 @@
"# The \"C13\" channel typically represents an infrared wavelength used for observing cloud structure and surface temperature,\n",
"# crucial for meteorological studies and weather forecasting.\n",
"# Displaying this dataset allows for detailed observation of atmospheric conditions within the specified geographic area.\n",
"scn_c1.show(\"C13\")\n",
"\n",
"### Uncomment to show it\n",
"#scn_c1.show(\"C13\")\n",
"\n",
"# Visualizing specific channels like \"C13\" in defined geographic regions helps in targeted analysis,\n",
"# such as monitoring storm development or evaluating climate patterns in detail.\n",
Expand All @@ -1190,7 +1192,9 @@
"# Display the \"ash\" dataset from the cropped scene (scn_c1).\n",
"# Displaying this dataset allows for visual assessment of ash presence within the specified geographic area.\n",
"# The visualization is particularly useful in educational and operational settings for demonstrating how satellite data can be applied to real-world environmental challenges.\n",
"scn_c1.show('ash')\n",
"\n",
"### Uncomment to show it\n",
"# scn_c1.show('ash')\n",
"\n",
"# This step not only aids in the educational demonstration of satellite capabilities but also provides practical insights into the management of natural disasters.\n",
"# Such visualizations are essential tools in emergency response planning and environmental monitoring."
Expand All @@ -1210,7 +1214,9 @@
"# Display the \"so2\" dataset from the cropped scene (scn_c1).\n",
"# Displaying this dataset allows for a visual assessment of SO2 distribution within the specified geographic area.\n",
"# The visualization helps in understanding the spatial extent and concentration of sulfur dioxide, which is essential for both environmental and public health assessments.\n",
"scn_c1.show('so2')\n",
"\n",
"### Uncomment to show it\n",
"# scn_c1.show('so2')\n",
"\n",
"# This step not only aids in the educational demonstration of how satellite imagery can be utilized to monitor environmental pollutants but also provides practical insights into the management of air quality.\n",
"# Such visualizations are valuable tools for researchers, policymakers, and educators in understanding and addressing atmospheric pollution."
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19 changes: 11 additions & 8 deletions notebooks/01_geosat_ABI_GOES_east.ipynb
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Expand Up @@ -131,7 +131,8 @@
"metadata": {},
"outputs": [],
"source": [
"scn.show(rgb_im)"
"### Uncomment to show it\n",
"#scn.show(rgb_im)"
]
},
{
Expand All @@ -142,7 +143,7 @@
"source": [
"result = scn[rgb_im]\n",
"\n",
"result"
"#result"
]
},
{
Expand All @@ -153,7 +154,7 @@
"source": [
"keys = scn.keys()\n",
"\n",
"keys"
"#keys"
]
},
{
Expand All @@ -164,7 +165,7 @@
"source": [
"area_info = scn[\"C13\"].area\n",
"\n",
"area_info"
"#area_info"
]
},
{
Expand All @@ -175,7 +176,7 @@
"source": [
"area_info = scn[\"C01\"].area\n",
"\n",
"area_info"
"#area_info"
]
},
{
Expand All @@ -186,7 +187,7 @@
"source": [
"area_info = scn[\"C02\"].area\n",
"\n",
"area_info"
"#area_info"
]
},
{
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"source": [
"lscn.load([\"natural_color\"])\n",
"\n",
"lscn.show(\"natural_color\")"
"### Uncomment to show it\n",
"#lscn.show(\"natural_color\")"
]
},
{
Expand All @@ -228,7 +230,8 @@
"source": [
"lscn.load(['true_color'])\n",
"\n",
"lscn.show('true_color')"
"### Uncomment to show it\n",
"#lscn.show('true_color')"
]
}
],
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