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Main #36

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Feb 18, 2024
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Main #36

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1 change: 1 addition & 0 deletions _toc.yml
Original file line number Diff line number Diff line change
Expand Up @@ -11,4 +11,5 @@ chapters:
- file: glacier_analysis_grouped.ipynb
- file: Summary.md
- file: Acknowledgments.md
- file: Contributing.md
- file: References.md
2 changes: 1 addition & 1 deletion accessing_s3_data.ipynb
Original file line number Diff line number Diff line change
Expand Up @@ -6,7 +6,7 @@
"source": [
"# Accessing ITS_LIVE data via S3 bucket\n",
"\n",
"This notebook will demonstrate how to access cloud-hosted Inter-mission Time Series of Land Ice Velocity and Elevation ([ITS_LIVE](https://its-live.jpl.nasa.gov/#access)) data from AWS S3 buckets. Here you will find examples of how to successfully access cloud-hosted data as well as some common errors and issues you may run into along the way, what they mean, and how to resolve them. \n",
"This notebook will demonstrate how to access cloud-hosted Inter-mission Time Series of Land Ice Velocity and Elevation ([ITS_LIVE](https://its-live.jpl.nasa.gov/#access)) data from AWS S3 buckets. Here, you will find examples of how to successfully access cloud-hosted data as well as some common errors and issues you may run into along the way, what they mean, and how to resolve them. \n",
"\n",
"## Learning goals\n",
"\n",
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6 changes: 3 additions & 3 deletions glacier_analysis_grouped.ipynb
Original file line number Diff line number Diff line change
Expand Up @@ -11843,7 +11843,7 @@
"id": "d5cbacf9",
"metadata": {},
"source": [
"Before moving forward, we will take a temporal subset of the full dataset to make it a bit easier to work with. We will also compute the mean along the time dimension and calculate the magnitude of velocity usign the velocity component variables. \n",
"Before moving forward, we will take a temporal subset of the full dataset to make it a bit easier to work with. We will also compute the mean along the time dimension and calculate the magnitude of velocity using the velocity component variables. \n",
"\n",
"Then, merge the rasterized vector and the dataset containing the velocity data into an xarray dataset:"
]
Expand Down Expand Up @@ -12551,7 +12551,7 @@
],
"source": [
"#modify colorbar label\n",
"cax.set_ylabel('Area (sqare kilometer)')"
"cax.set_ylabel('Area (square kilometer)')"
]
},
{
Expand Down Expand Up @@ -12586,7 +12586,7 @@
"ax.set_xlabel('Median magnitude of velocity (m/y)');\n",
"\n",
"cax = fig.get_axes()[1]\n",
"cax.set_ylabel('Area (sqare kilometer)');"
"cax.set_ylabel('Area (square kilometer)');"
]
},
{
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2 changes: 1 addition & 1 deletion ind_glacier_analysis.ipynb
Original file line number Diff line number Diff line change
Expand Up @@ -1164,7 +1164,7 @@
"outputs": [
{
"data": {
"image/png": 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",

Check failure on line 1167 in ind_glacier_analysis.ipynb

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iif ==> if

Check failure on line 1167 in ind_glacier_analysis.ipynb

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ue ==> use, due
"text/plain": [
"<Figure size 2000x500 with 3 Axes>"
]
Expand Down Expand Up @@ -1294,7 +1294,7 @@
"outputs": [
{
"data": {
"image/png": 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fOf ==> for

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te ==> the, be, we, to

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te ==> the, be, we, to

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te ==> the, be, we, to
"text/plain": [
"<Figure size 2000x500 with 2 Axes>"
]
Expand Down Expand Up @@ -1356,7 +1356,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
"Both `v_mag_time` (reduced along spatial dimensions, exists along temporal dimension) and `v_mag_space` (reduced along temporal dimension, exsists along spatial dimensions) are positively skewed. We also see that the skewness `v_mag_time` is much greater than `v_mag_space`, suggesting that the distribution of magnitude of velocity is much more positively skewed (characterized by large, positive outliers) in time than in space. Physically speaking, magnitude of velocity variability is characterized by more extreme outliers over time than across the surface of the glacier. \n"
"Both `v_mag_time` (reduced along spatial dimensions, exists along temporal dimension) and `v_mag_space` (reduced along temporal dimension, exists along spatial dimensions) are positively skewed. We also see that the skewness `v_mag_time` is much greater than `v_mag_space`, suggesting that the distribution of magnitude of velocity is much more positively skewed (characterized by large, positive outliers) in time than in space. Physically speaking, magnitude of velocity variability is characterized by more extreme outliers over time than across the surface of the glacier. \n"
]
},
{
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"outputs": [
{
"data": {
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8 changes: 4 additions & 4 deletions ind_glacier_data_inspection.ipynb
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"cell_type": "markdown",
"metadata": {},
"source": [
"You can see in the above object that while we techincally now have a 'chunked dataset', the entire object is "
"You can see in the above object that while we technically now have a 'chunked dataset', the entire object is "
]
},
{
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"source": [
"## Incorporating glacier outlines (vector data)\n",
"\n",
"Vector data represent discrete features. They contain geometry data as well as attribute data about the features. For a more in-depth description of vector data, read [this](https://datacarpentry.org/organization-geospatial/02-intro-vector-data.html). We will use vector data to focus our analysis on specific glaciers. The dataset we will be usign is called the Randolph Glacier Inventory (RGI). It is a very important dataset for glaciology research; you can read more about it [here](http://www.glims.org/rgi_user_guide/welcome.html).\n",
"Vector data represent discrete features. They contain geometry data as well as attribute data about the features. For a more in-depth description of vector data, read [this](https://datacarpentry.org/organization-geospatial/02-intro-vector-data.html). We will use vector data to focus our analysis on specific glaciers. The dataset we will be using is called the Randolph Glacier Inventory (RGI). It is a very important dataset for glaciology research; you can read more about it [here](http://www.glims.org/rgi_user_guide/welcome.html).\n",
"\n",
"### Read in vector data\n",
"\n",
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"First, we need to use `rio.write_crs()` to assign a CRS to the itslive object. If we don't do that first the `rio.clip()` command will produce an error\n",
"\n",
"\n",
"*Note*: you can only run write_crs() once, because it switches mapping from being a `data_var` to a `coord` so if you run it again it will produce a key error looking for a var that doesnt' exist"
"*Note*: you can only run write_crs() once, because it switches mapping from being a `data_var` to a `coord` so if you run it again it will produce a key error looking for a var that doesn't exist"
]
},
{
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"source": [
"## Exploring ITS_LIVE data\n",
"\n",
"ITS_LIVE data cubes come with many variables that carry information about the estimated surface velocities and the satellite images that were used to generate the surface velocity estimates. We won't examine all of this information here but let's look at a litte bit.\n",
"ITS_LIVE data cubes come with many variables that carry information about the estimated surface velocities and the satellite images that were used to generate the surface velocity estimates. We won't examine all of this information here but let's look at a little bit.\n",
"\n",
"To start with, let's look at the satellite imagery used to generate the velocity data.\n",
"\n",
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