\n",
@@ -361,7 +360,9 @@
"metadata": {},
"outputs": [],
"source": [
- "orders = client.place_data_orders(params=my_params)\n",
+ "orders = []\n",
+ "# IMPORTANT: uncomment the following line to place the order\n",
+ "# orders = client.place_data_orders(params=my_params)\n",
"orders"
]
},
@@ -431,7 +432,9 @@
{
"cell_type": "code",
"execution_count": null,
- "metadata": {},
+ "metadata": {
+ "tags": []
+ },
"outputs": [],
"source": [
"# ICESat and ICESat-2\n",
@@ -448,17 +451,22 @@
{
"cell_type": "code",
"execution_count": null,
- "metadata": {},
+ "metadata": {
+ "tags": []
+ },
"outputs": [],
"source": [
- "# ICESat-2 + ICESat/GLAS \n",
- "orders = client.place_data_orders(params=my_params)"
+ "# IMPORTANT: uncomment the following line to place the order\n",
+ "\n",
+ "# orders = client.place_data_orders(params=my_params)"
]
},
{
"cell_type": "code",
"execution_count": null,
- "metadata": {},
+ "metadata": {
+ "tags": []
+ },
"outputs": [],
"source": [
"# Downloading the data, ICESat-2 will be downloaded right away.\n",
@@ -791,12 +799,12 @@
"outputs": [],
"source": [
"# We group our dataframe by year\n",
- "glas_by_year = glas_gdf.groupby([(glas_gdf.index.year)])\n",
+ "glas_by_year = glas_gdf.groupby([glas_gdf.index.year])\n",
"\n",
"for key, group in glas_by_year:\n",
" group.plot(column='elevation',\n",
" markersize=0.5,\n",
- " label=key,\n",
+ " label=key[0],\n",
" legend=True,\n",
" legend_kwds={'label':f'GLAH06 {key} elevation (meters)'})"
]
diff --git a/notebooks/iceflow/1_widget.ipynb b/notebooks/iceflow/1_widget.ipynb
index be71dcf..c56713d 100644
--- a/notebooks/iceflow/1_widget.ipynb
+++ b/notebooks/iceflow/1_widget.ipynb
@@ -62,7 +62,10 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "**Note:** To view the widget output you need to enable Jupyter's log console. You can activate the console by clicking the right-most icon at the bottom of your browser or by slecting “View” >> “Show log console” on the menu bar."
+ "**Note:** To view the widget output you need to enable Jupyter's log console. You can activate the console by clicking the right-most icon at the bottom of your browser or by slecting “View” >> “Show log console” on the menu bar.\n",
+ "\n",
+ "Let's start loading the user interface. Next, we will explain all options and user interface components.\n",
+ "vertical = Sidecar widget, horizontal = render the widget in this notebook. Note that depending on your screen size and resolution the 'vertical' display option may not work correctly. This is a current bug in the jupyter-widget that can not be solved within the scope of IceFlow."
]
},
{
@@ -73,10 +76,6 @@
},
"outputs": [],
"source": [
- "# Let's start loading the user interface. Next, we will explain all options and user interface components.\n",
- "# vertical = Sidecar widget, horizontal = render the widget in this notebook.\n",
- "# Note that depending on your screen size and resolution the 'vertical' display option may not work correctly.\n",
- "# This is a current bug in the jupyter-widget that can not be solved within the scope of IceFlow.\n",
"ui.display_map('horizontal', extra_layers=True)"
]
},
@@ -85,6 +84,8 @@
"metadata": {},
"source": [
"#### IceFlow user interface (UI) components\n",
+ "\n",
+ "\n",
"This user interface uses [*ipyleaflet*](https://blog.jupyter.org/interactive-gis-in-jupyter-with-ipyleaflet-52f9657fa7a) which allows us to draw\n",
"polygons or bounding boxes to delimit our area of interest. We can also edit and delete these geometries using the widget controls in the map.\n",
" \n",
diff --git a/notebooks/iceflow/2_api.ipynb b/notebooks/iceflow/2_api.ipynb
index 8ea5d4b..34f5a91 100644
--- a/notebooks/iceflow/2_api.ipynb
+++ b/notebooks/iceflow/2_api.ipynb
@@ -102,17 +102,23 @@
"granules = ifc.query_cmr(my_params)"
]
},
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Now we order the data, this is an asynchronous process. Asynchronous downloads allow concurrent requests to be queued and processed without the need for a continuous connection. The maximum granule count per asynchronous request is 2000. When the order is complete.\n",
+ "Now you can proceed to download the IceFlow data granule."
+ ]
+ },
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
- "# Now we order the data, this is an asynchronous process. \n",
- "# Asynchronous downloads allow concurrent requests to be queued and processed without the need for a continuous connection. \n",
- "# The maximum granule count per asynchronous request is 2000. When the order is complete\n",
- "# Now you can proceed to download the IceFlow data granule.\n",
- "orders = ifc.place_data_orders(my_params)\n",
+ "orders = []\n",
+ "# Uncomment the following line to place the orders!\n",
+ "# orders = ifc.place_data_orders(my_params)\n",
"orders"
]
},
diff --git a/notebooks/iceflow/3_dataviz.ipynb b/notebooks/iceflow/3_dataviz.ipynb
index 6b284aa..593cdfb 100644
--- a/notebooks/iceflow/3_dataviz.ipynb
+++ b/notebooks/iceflow/3_dataviz.ipynb
@@ -22,7 +22,9 @@
{
"cell_type": "code",
"execution_count": null,
- "metadata": {},
+ "metadata": {
+ "tags": []
+ },
"outputs": [],
"source": [
"import warnings\n",
@@ -52,7 +54,9 @@
{
"cell_type": "code",
"execution_count": null,
- "metadata": {},
+ "metadata": {
+ "tags": []
+ },
"outputs": [],
"source": [
"%%time\n",
@@ -73,7 +77,9 @@
{
"cell_type": "code",
"execution_count": null,
- "metadata": {},
+ "metadata": {
+ "tags": []
+ },
"outputs": [],
"source": [
"%%time\n",
@@ -105,16 +111,20 @@
{
"cell_type": "code",
"execution_count": null,
- "metadata": {},
+ "metadata": {
+ "tags": []
+ },
"outputs": [],
"source": [
- "my_df.widget.heatmap(my_df[df_key['longitude']], \n",
- " my_df[df_key['latitude']],\n",
- " what=vaex.stat.mean(my_df[df_key['elevation']]),\n",
- " shape=512, \n",
- " figsize=(10,6),\n",
- " limits='minmax',\n",
- " colormap='inferno')"
+ "# There is a bug in Vaex that needs to be fixed: https://github.com/vaexio/vaex/pull/2353\n",
+ "\n",
+ "# my_df.widget.heatmap(my_df[df_key['longitude']], \n",
+ "# my_df[df_key['latitude']],\n",
+ "# what=vaex.stat.mean(my_df[df_key['elevation']]),\n",
+ "# shape=512, \n",
+ "# figsize=(10,6),\n",
+ "# limits='minmax',\n",
+ "# colormap='inferno')"
]
},
{
@@ -127,7 +137,9 @@
{
"cell_type": "code",
"execution_count": null,
- "metadata": {},
+ "metadata": {
+ "tags": []
+ },
"outputs": [],
"source": [
"%matplotlib widget\n",
@@ -161,7 +173,9 @@
{
"cell_type": "code",
"execution_count": null,
- "metadata": {},
+ "metadata": {
+ "tags": []
+ },
"outputs": [],
"source": [
"%matplotlib widget\n",
diff --git a/notebooks/iceflow/4_time_series_tutorial.ipynb b/notebooks/iceflow/4_time_series_tutorial.ipynb
index 9e29ad7..0d5476c 100644
--- a/notebooks/iceflow/4_time_series_tutorial.ipynb
+++ b/notebooks/iceflow/4_time_series_tutorial.ipynb
@@ -4,12 +4,12 @@
"cell_type": "markdown",
"metadata": {
"slideshow": {
- "slide_type": "slide"
+ "slide_type": "subslide"
}
},
"source": [
"# *IceFlow & icepyx*: Altimetry Time Series Tutorial\n",
- "### NASA Earthdata Webinar - April 2021\n",
+ "### NASA Earthdata Webinar - April 2021\n",
"\n",
"This tutorial demonstrates how to harmonize several NASA altimetry data sets with varying temporal coverage, formats, and coordinate reference frames using the IceFlow and icepyx Python tools. Please refer to the 0_introduction.ipynb notebook for detailed information on IceFlow and the data sets you will be exploring in this tutorial. \n",
"\n",
@@ -25,17 +25,7 @@
"Jessica Scheick, *University of New Hampshire*, Durham, New Hampshire \n",
"Nicholas Kotlinski & Amy Steiker, *NASA National Snow and Ice Data Center DAAC*, Boulder, Colorado, USA\n",
"\n",
- "---"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {
- "slideshow": {
- "slide_type": "subslide"
- }
- },
- "source": [
+ "\n",
"#### Running this tutorial locally\n",
"\n",
"To run this notebook locally, you must first set up your computing environment. Please see the [repository readme](https://github.com/nsidc/NSIDC-Data-Tutorials#usage-with-binder) for instructions on several ways (using Binder, Docker, or Conda) to do this."
@@ -165,7 +155,7 @@
}
},
"source": [
- "---\n",
+ "\n",
"#### 2.3. Accessing Data with the *IceFlow* Access Widget\n",
"The *IceFlow* access widget is a user interface tool to visualize flightpaths from IceBridge, draw a region of interest, set spatio-temporal parameters and place data orders to the *IceFlow* API and *icepyx* package without the need to write code.\n",
"The output of the operations performed in the widget can be seen in the log window (right-most icon at the bottom left corner of your browser.) \n",
@@ -231,7 +221,9 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "Only ICESat/GLAS and ICESat-2 data are included above due to the high density of ATM data available from IceBridge. Here we order a smaller subset of ATM data to decrease the order and download times. Again, the number of files and volume of ATM data from each IceBridge dataset is outputted below."
+ "\n",
+ "Only ICESat/GLAS and ICESat-2 data are included above due to the high density of ATM data available from IceBridge. Here we order a smaller subset of ATM data to decrease the \n",
+ "order and download times. Again, the number of files and volume of ATM data from each IceBridge dataset is outputted below.\n"
]
},
{
@@ -359,7 +351,7 @@
}
},
"source": [
- "---\n",
+ "\n",
"#### 2.5. Downloading ICESat-2 data [directly] with ***icepyx***\n",
"Behind the scenes, *IceFlow* is using the [*icepyx*](https://icepyx.readthedocs.io/en/latest/) Python package to download ICESat-2 data. *icepyx* is a standalone library that includes its own examples and documentation and welcomes contributions from data users (no previous GitHub or software development experience required!). Thus, it has a lot of additional functionality for querying, subsetting, ordering, and downloading ICESat-2 datasets (with in-the-works additions for data ingest into multiple formats), including making it easier to programmatically download data from multiple regions. \n",
"\n",
@@ -688,17 +680,6 @@
"source": [
"tsgdf.plot(x=\"time_col\",y=\"elevation\", kind=\"scatter\");"
]
- },
- {
- "cell_type": "markdown",
- "metadata": {
- "slideshow": {
- "slide_type": "subslide"
- }
- },
- "source": [
- "---"
- ]
}
],
"metadata": {
diff --git a/notebooks/iceflow/README.md b/notebooks/iceflow/README.md
index a716489..f248b2c 100644
--- a/notebooks/iceflow/README.md
+++ b/notebooks/iceflow/README.md
@@ -1,18 +1,18 @@
# IceFlow Point Cloud Data Access
-## Summary
+## Summary
The IceFlow python library simplifies accessing and combining data from several of NASA's cryospheric altimetry missions, including ICESat/GLAS, Operation IceBridge, and ICESat-2. In particular, IceFlow harmonizes the various file formats and georeferencing parameters across several of the missions' data sets, allowing you to analyze data across the multi-decadal time series.
The contents of the IceFlow folder include the IceFlow library itself, along with several Jupyter Notebooks that provide data access and harmonization using IceFlow. If you are new to IceFlow, we recommend starting at [0_introduction.ipynb](https://github.com/nsidc/NSIDC-Data-Tutorials/blob/main/notebooks/iceflow/0_introduction.ipynb), which provides a descriptive background on the data, as well as both map widget-based and programmatic-based options for accessing data from IceFlow.
-## Setup
+## Setup
To run the notebooks provided in this folder, please see the [NSIDC-Data-Tutorials repository readme](https://github.com/nsidc/NSIDC-Data-Tutorials#readme) for instructions on several ways (using Binder, Docker, or Conda) to do this.
## Key Learning Objectives
-1. Learn the basics about the data sets (pre-IceBridge, IceBridge, ICESat/GLAS and ICESat-2) served by the IceFlow library.
+1. Learn the basics about the data sets (pre-IceBridge, IceBridge, ICESat/GLAS and ICESat-2) served by the IceFlow library.
2. Learn to access these data sets using the IceFlow user interface widget.
diff --git a/notebooks/iceflow/iceflow/is2.py b/notebooks/iceflow/iceflow/is2.py
index 4c6297e..2c5578a 100644
--- a/notebooks/iceflow/iceflow/is2.py
+++ b/notebooks/iceflow/iceflow/is2.py
@@ -1,5 +1,4 @@
import icepyx as ipx
-from icepyx.core import Earthdata
class is2:
@@ -8,21 +7,13 @@ class is2:
"""
def __init__(self, credentials):
self.credentials = credentials
- cap_url = 'https://n5eil02u.ecs.nsidc.org/egi/capabilities/ATL06.005.xml'
- self._session = Earthdata.Earthdata(
- uid=credentials['username'],
- email=credentials['email'],
- pswd=credentials['password'],
- capability_url=cap_url)
- self._session._start_session()
def query(self, parameters):
dataset = parameters['dataset']
date_range = [parameters['start'], parameters['end']]
bounding_box = [round(float(coord), 4) for coord in parameters['bbox'].split(',')]
query = ipx.Query(dataset, bounding_box, date_range)
- query._email = self.credentials['email']
- query._session = self._session.session
+ query.earthdata_login()
return query
def simplify_atl03(self, files, variables, filters):
diff --git a/notebooks/measures/README.md b/notebooks/measures/README.md
new file mode 100644
index 0000000..52d1a04
--- /dev/null
+++ b/notebooks/measures/README.md
@@ -0,0 +1,20 @@
+## Search, Download and Plot multiple GeoTIFFs
+
+### Summary
+In this tutorial we demonstrate how to programmatically access and download GeoTIFF files from the NSIDC DAAC data to your local computer. We then walk through the steps for cropping and resampling one GeoTIFF based on the extent and pixel size of another GeoTIFF, with the end goal of plotting one on top of the other.
+
+We use two data sets from the NASA [MEaSUREs](https://nsidc.org/data/measures) (Making Earth System data records for Use in Research Environments) program as an example:
+
+* [MEaSUREs Greenland Ice Mapping Project (GrIMP) Digital Elevation Model from GeoEye and WorldView Imagery, Version 2 (NSIDC-0715)](https://nsidc.org/data/nsidc-0715/versions/2)
+* [MEaSUREs Greenland Ice Velocity: Selected Glacier Site Velocity Maps from InSAR, Version 4 (NSIDC-0481)](https://nsidc.org/data/nsidc-0481/versions/4)
+
+
+### Set up
+
+To run the notebook provided in this folder, please see the [NSIDC-Data-Tutorials repository readme](https://github.com/nsidc/NSIDC-Data-Tutorials#readme) for instructions on several ways (using Binder, Docker, or Conda) to do this.
+
+### Key Learning Objectives
+
+1. Use the `earthaccess` library for authentication and to programmatically search for and download NSIDC DAAC data that meet specified spatial and temporal requirements.
+2. Use the `gdal` and `osr` modules from the `osgeo` package to crop and resample one GeoTIFF based on the extent and pixel size of another GeoTIFF.
+3. Use `rasterio`, `numpy` and `matplotlib` libraries to overlay one GeoTIFF on top of another.
diff --git a/notebooks/measures/Search_Download_and_Plot_GeoTIFFs.ipynb b/notebooks/measures/Search_Download_and_Plot_GeoTIFFs.ipynb
new file mode 100644
index 0000000..770efa9
--- /dev/null
+++ b/notebooks/measures/Search_Download_and_Plot_GeoTIFFs.ipynb
@@ -0,0 +1,565 @@
+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "id": "1341755d",
+ "metadata": {},
+ "source": [
+ "
\n",
+ " \n",
+ "
\n",
+ "\n",
+ "\n",
+ "# **Download, Crop, Resample and Plot Multiple GeoTIFFs - Using MEaSUREs data sets as an example**"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "38830c9d",
+ "metadata": {},
+ "source": [
+ "## **1. Tutorial Overview**\n",
+ "\n",
+ "This tutorial guides you through programmatically accessing and downloading GeoTIFF files from the NSIDC DAAC to your local computer. We then crop and resample one GeoTIFF based on the extent and pixel size of another GeoTIFF, then plot one on top of the other. \n",
+ "\n",
+ "We will use two data sets from the NASA [MEaSUREs](https://nsidc.org/data/measures) (Making Earth System data records for Use in Research Environments) program as an example:\n",
+ "\n",
+ "* [MEaSUREs Greenland Ice Mapping Project (GrIMP) Digital Elevation Model from GeoEye and WorldView Imagery, Version 2 (NSIDC-0715)](https://nsidc.org/data/nsidc-0715/versions/2)\n",
+ "* [MEaSUREs Greenland Ice Velocity: Selected Glacier Site Velocity Maps from InSAR, Version 4 (NSIDC-0481)](https://nsidc.org/data/nsidc-0481/versions/4)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "9bb1a111",
+ "metadata": {},
+ "source": [
+ "### **Credits**\n",
+ "\n",
+ "This tutorial was developed by Jennifer Roebuck of NSIDC.\n",
+ "\n",
+ "For questions regarding the notebook, or to report problems, please create a new issue in the [NSIDC-Data-Tutorials repo](https://github.com/nsidc/NSIDC-Data-Tutorials/issues)."
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "f7d173fc",
+ "metadata": {},
+ "source": [
+ "### **Objectives** \n",
+ "\n",
+ "1. Use the `earthaccess` library for authentication and to programmatically search for and download NSIDC DAAC data that meet specified spatial and temporal requirements. \n",
+ "2. Use the `gdal` and `osr` modules from the `osgeo` package to crop and resample one GeoTIFF based on the extent and pixel size of another GeoTIFF.\n",
+ "3. Use `rasterio`, `numpy` and `matplotlib` libraries to overlay one GeoTIFF on top of another.\n"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "5cee718b",
+ "metadata": {},
+ "source": [
+ "### **Prerequisites**\n",
+ "\n",
+ "To run this tutorial you will need:\n",
+ "1. An Earthdata Login for authentication and downloading the data. It is completely free. If you don't have one, you can register for one [here](https://urs.earthdata.nasa.gov/). \n",
+ "2. A .netrc file. We recommend using a .netrc file for storing your Earthdata Login username and password. Instructions for setting one up can be found in Step 1 in this [Programmatic Data Access Guide](https://nsidc.org/data/user-resources/help-center/programmatic-data-access-guide#anchor-0). If you don't want to set one up, you will be prompted for our username and password during the tutorial.\n",
+ "3. A basic understanding of python may also be helpful for this tutorial, but not necessary."
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "25584ec8",
+ "metadata": {},
+ "source": [
+ "### **Example of end product**\n",
+ "\n",
+ "At the end of this tutorial, you will have produced a figure similar to the one below, which overlays velocity data on top of a digital elevation model:\n",
+ "\n",
+ "
\n",
+ " \n",
+ "
\n",
+ " "
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "30fbaa69",
+ "metadata": {},
+ "source": [
+ "### **Time requirement**\n",
+ "\n",
+ "This tutorial will take approximately 30 minutes to complete. \n"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "90d526d0",
+ "metadata": {},
+ "source": [
+ "## **2. Tutorial Steps**\n",
+ "\n",
+ "### **Import libraries and classes**\n",
+ "\n",
+ "We will use the following libraries:\n",
+ "1. `earthaccess` to authenticate, search and download NSIDC DAAC data \n",
+ "2. `os` to list all the files we have downloaded \n",
+ "3. `osgeo.gdal` and `osgeo.osr` to crop and resample one of the GeoTIFFs \n",
+ "4. `rasterio` and `numpy` to read the GeoTIFFs and set up a grid for plotting the data. \n",
+ "5. `matplotlib` for plotting the data. "
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "da4e53c4",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "import earthaccess\n",
+ "import os\n",
+ "from osgeo import gdal, osr\n",
+ "import rasterio\n",
+ "import matplotlib.pyplot as plt\n",
+ "import numpy as np\n",
+ "from affine import Affine"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "a94373e3",
+ "metadata": {},
+ "source": [
+ "### **Authentication**\n",
+ "\n",
+ "We need to set up our authentication using our Earthdata Login credentials and the `login` method from `earthaccess`. If we have a .netrc with our Earthdata login credentials, we can just run the cell below and it will automatically authenticate. If we don't have a .netrc, we will be prompted to enter our Earthdata Login username and password. "
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "257a1e51",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "auth = earthaccess.login()"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "6aad881a",
+ "metadata": {},
+ "source": [
+ "### **Search for data using spatial and temporal filters**\n",
+ "This tutorial assumes we already know which data sets we would like to download (that have data in GeoTIFF format). Each data set at NSIDC has a data set ID; it can be found after the title on the data set landing page. \n",
+ "\n",
+ "We will look at two data sets focused on Greenland: a Digital Elevation Model (DEM) ([NSIDC-0715](https://nsidc.org/data/nsidc-0715)) and velocity at glacier sites ([NSIDC-0481](https://nsidc.org/data/nsidc-0481)). We will use the `search_data` method from the `earthaccess` library and the following variables to search for granules within these data sets and it will output the number of granules that meet the search criteria for each data set:\n",
+ "\n",
+ "* `short_name` - this is the data set ID e.g., NSIDC-0715, NSIDC-0481. It can be found in the data set title on the data set landing page.\n",
+ "* `version` - data set version number, also included in the data set title.\n",
+ "* `cloud_hosted` - NSIDC is in the process of migrating data sets to the cloud. The data sets we are interested in are currently still archived on-prem so will set this to False.\n",
+ "* `bounding_box` - sets a spatial filter by specifying latitude and longitude in the following order: W, S, E, and N.\n",
+ "* `temporal` - sets a temporal filter by specifying a start and end date in the format YYYY-MM-DD.\n",
+ "* `count` - this sets the maximum number of granules that will be returned in the search\n",
+ "\n",
+ "**NOTE** The data sets and the spatial and temporal filters used here are just examples. If there are other data sets in GeoTIFF format or different spatial and temporal filters we wish to try, then we can just modify the `short_name`, `bounding_box` and `temporal` variables."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "62b87b2e",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "#Search for DEM files\n",
+ "print('For NSIDC-0715')\n",
+ "results_dem = earthaccess.search_data(\n",
+ " short_name='NSIDC-0715',\n",
+ " version='2',\n",
+ " cloud_hosted=False,\n",
+ " bounding_box=(-33.45,68.29,-31.41,69.26),\n",
+ " temporal=('2015-12-01','2015-12-31'),\n",
+ " count=100\n",
+ ")\n",
+ "\n",
+ "#Search for velocity data \n",
+ "print('For NSIDC-0481')\n",
+ "results_vel = earthaccess.search_data(\n",
+ " short_name='NSIDC-0481',\n",
+ " version='4',\n",
+ " cloud_hosted=False,\n",
+ " bounding_box=(-33.45,68.29,-31.41,69.26),\n",
+ " temporal=('2017-01-01','2017-12-31'),\n",
+ " count=100\n",
+ ")"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "f58d1b42",
+ "metadata": {},
+ "source": [
+ "### **Download the data**\n",
+ "Now we have found granules that meet our search criteria we can download them using the `download` method from `earthaccess`. Note that for these particular data sets within each granule there are multiple files. So even though 1 granule was found for the DEM data set, 6 files will be downloaded as the one granule represents one tile of the DEM (tile_4_2) and for each tile there are 6 files: \n",
+ "\n",
+ "* _tile_4_2_30m_dem_v02.0.tif_ - the DEM\n",
+ "* _tile_4_2_30m_count_v02.0.tif_ - number of individual DEMs used to estimate height at each pixel\n",
+ "* _tile_4_2_30m_mindate_v02.0.tif_ - date of the most recent DEM at each pixel\n",
+ "* _tile_4_2_30m_maxdate_v02.0.tif_ - date of the oldest DEM at each pixel\n",
+ "* _tile_4_2_30m_mad_v02.0.tif_ - median absolute deviation (mad) of DEM heights at each pixel\n",
+ "* _tile_4_2_30m_browse_v02.0.tif_ - DEM hillshade image (this is the one we will use for plotting) \n",
+ "\n",
+ "For the velocity data there are 20 granules, one for each time period, and there are 5 files within each granule, for example for the time period 16 July to 27 July 2017:\n",
+ "\n",
+ "* _TSX_E68.80N_16Jul17_27Jul17_19-41-20_vv_v04.0.tif_ - velocity magnitude \n",
+ "* _TSX_E68.80N_16Jul17_27Jul17_19-41-20_vx_v04.0.tif_ - x component of velocity\n",
+ "* _TSX_E68.80N_16Jul17_27Jul17_19-41-20_vy_v04.0.tif_ - y component of velocity\n",
+ "* _TSX_E68.80N_16Jul17_27Jul17_19-41-20_ex_v04.0.tif_ - error of x component\n",
+ "* _TSX_E68.80N_16Jul17_27Jul17_19-41-20_ey_v04.0.tif_ - error of y component \n",
+ "\n",
+ "Further details can be found in the data set user guides for the [DEM](https://nsidc.org/sites/default/files/documents/user-guide/nsidc-0715-v002-userguide.pdf) and [velocity](https://nsidc.org/sites/default/files/documents/user-guide/nsidc-0481-v004-userguide.pdf) data sets. \n",
+ "\n",
+ "The progress and size of each order will be printed out.\n",
+ "\n",
+ "We will create a folder called 'outputs' to store the downloaded files. This folder will be created in the folder where we are currently running this notebook. "
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "55d7625f",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "#Set up an outputs folder to download the data to\n",
+ "path = str(os.getcwd() + '/outputs')\n",
+ "if not os.path.exists(path):\n",
+ " os.mkdir(path)\n",
+ "\n",
+ "#Download the DEM granules \n",
+ "dem_files = earthaccess.download(results_dem, path)\n",
+ "\n",
+ "#Download the velocity granules\n",
+ "vel_files = earthaccess.download(results_vel, path)\n"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "db0008d8",
+ "metadata": {},
+ "source": [
+ "### **Check the files that have been downloaded**\n",
+ "We will list all the DEM and velocity files that were downloaded, as this is needed for the next steps. "
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "0095777f",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "dir_list = os.listdir(path)\n",
+ "\n",
+ "print('Files in outputs folder')\n",
+ "\n",
+ "for x in dir_list:\n",
+ " if x.endswith('.tif'):\n",
+ " print(x)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "5afa949b",
+ "metadata": {},
+ "source": [
+ "### **Select and read in the DEM file and velocity file**\n",
+ "\n",
+ "Based on the list of filenames above, we will select the GeoTIFFs that we wish to plot and input them into the cell below. We will use the 'browse' GeoTIFF of the DEM tile, as that provides the best continuous surface for visual display. For the velocity we will plot the velocity magnitude, which is denoted by 'vv' in the filename, and we will plot the velocity covering the time period 07 August to 18 August 2017. \n",
+ "\n",
+ "The DEM GeoTIFF covers a larger area than the velocity GeoTIFF, and we will be cropping the DEM GeoTIFF to the extent of the velocity GeoTIFF, so we will also set a filename for the cropped DEM GeoTIFF. "
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "36027699",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "vel_fp = str(path + '/TSX_E68.80N_07Aug17_18Aug17_19-41-22_vv_v04.0.tif')\n",
+ "\n",
+ "dem_fp = str(path + '/tile_4_2_30m_browse_v02.0.tif')\n",
+ "\n",
+ "dem_crop = str(path + '/dem_crop_100.tif')"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "39178989",
+ "metadata": {},
+ "source": [
+ "### **Crop and resample DEM file based on velocity file extent and pixel size**\n",
+ "\n",
+ "We will use the `open` method from the `gdal` module to read the velocity GeoTIFF and get the extent and pixel size, and we will use the `SpatialReference` method from the `osr` module to get the projection information. "
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "16184745",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "#open the velocity GeoTIFF that we specified above\n",
+ "vel_raster = gdal.Open(vel_fp)\n",
+ "\n",
+ "#get the grid information (extent and pixel size) from the velocity file\n",
+ "geoTransform = vel_raster.GetGeoTransform()\n",
+ "\n",
+ "#get the projection information (EPSG code) from the velocity file\n",
+ "proj=osr.SpatialReference(wkt=vel_raster.GetProjection())"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "80107a09-2f45-408f-90fc-85fa5923e890",
+ "metadata": {},
+ "source": [
+ "We will now assign the information, retrieved in the cell above, to variables that can be used to crop and downsample the DEM GeoTIFF."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "d2db7449-d293-4d9f-a3ff-4a721c7bf6be",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "#assign the EPSG code to a variable that will be used by GDAL to ensure the output file is in the same projection\n",
+ "epsg = 'EPSG:' + proj.GetAttrValue('AUTHORITY',1)\n",
+ "\n",
+ "# assign the pixel size and extent info to variables that will be used to crop and downsample the data \n",
+ "pixelSizeX = geoTransform[1]\n",
+ "pixelSizeY = geoTransform[5]\n",
+ "minx = geoTransform[0]\n",
+ "maxy = geoTransform[3]\n",
+ "maxx = minx + pixelSizeX * vel_raster.RasterXSize\n",
+ "miny = maxy + pixelSizeY * vel_raster.RasterYSize"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "babecd8c-5ebf-4e96-ae4a-b6eff4110216",
+ "metadata": {},
+ "source": [
+ "Now we will use these variables with the `Warp` method from the `gdal` module to crop and downsample the DEM GeoTIFF and save it as new file."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "2e0f586b-55d7-4eea-8193-a70c0d887ed4",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "#set up the keyword arguments needed for the Warp method to crop and downsample the DEM geotiff\n",
+ "kwargs = { 'format': 'GTiff', 'outputBounds': [minx, miny, maxx, maxy], 'outputBoundsSRS': epsg, 'xRes': pixelSizeX, 'yRes': pixelSizeY}\n",
+ "\n",
+ "#use the Warp method to crop and downsample the DEM GeoTIFF and save it as a new file\n",
+ "ds = gdal.Warp(dem_crop, dem_fp, **kwargs)\n",
+ "ds=None"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "c743d341",
+ "metadata": {},
+ "source": [
+ "### **Set up the grids to plot the DEM and velocity data**\n",
+ "To plot the cropped and downsampled DEM with the velocity data, we need to set up a grid. We will read in the data and metadata using the `open` and `meta` methods, then we will use the `transform` or `affine` methods to map the image coordinates to world coordinates, all methods from the `rasterio` package. This information will then be used to generate x and y grid locations using the `arrange` method from the `numpy` package. It will also mask the no data values from the velocity GeoTIFF to produce a nicer plot. The cell below will print out the metadata from both files."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "15fc1119",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# read in subsetted and resampled DEM\n",
+ "dem_src = rasterio.open(dem_crop)\n",
+ "\n",
+ "# print out metadata information\n",
+ "for k in dem_src.meta:\n",
+ " print(k,dem_src.meta[k])\n",
+ "\n",
+ "# Retrieve the affine transformation\n",
+ "if isinstance(dem_src.transform, Affine):\n",
+ " transform = dem_src.transform\n",
+ "else:\n",
+ " transform = dem_src.affine\n",
+ "\n",
+ "N = dem_src.width\n",
+ "M = dem_src.height\n",
+ "dx = transform.a\n",
+ "dy = transform.e\n",
+ "minx = transform.c\n",
+ "maxy = transform.f\n",
+ "\n",
+ "# Read the image data, flip upside down if necessary\n",
+ "dem_crop_in = dem_src.read(1)\n",
+ "if dy < 0:\n",
+ " dy = -dy\n",
+ " dem_crop_in = np.flip(dem_crop_in, 0)\n",
+ "\n",
+ "#Uncomment the line below if you wish to see the min/max DEM values\n",
+ "#print('Data minimum, maximum = ', np.amin(data_in), np.amax(data_in))\n",
+ "\n",
+ "# Generate X and Y grid locations\n",
+ "xdata = minx + dx/2 + dx*np.arange(N)\n",
+ "ydata = maxy - dy/2 - dy*np.arange(M-1,-1,-1)\n",
+ "\n",
+ "dem_extent = [xdata[0], xdata[-1], ydata[0], ydata[-1]]\n",
+ "\n",
+ "### read in the velocity data\n",
+ "vel_data = rasterio.open(vel_fp)\n",
+ "\n",
+ "for k in vel_data.meta:\n",
+ " print(k,vel_data.meta[k])\n",
+ "\n",
+ "# Retrieve the affine transformation\n",
+ "if isinstance(vel_data.transform, Affine):\n",
+ " transform = vel_data.transform\n",
+ "else:\n",
+ " transform = vel_data.affine\n",
+ "\n",
+ "N2 = vel_data.width\n",
+ "M2 = vel_data.height\n",
+ "dx2 = transform.a\n",
+ "dy2 = transform.e\n",
+ "minx2 = transform.c\n",
+ "maxy2 = transform.f\n",
+ "\n",
+ "# Read the image data, flip upside down if necessary\n",
+ "vel_in = vel_data.read(1)\n",
+ "if dy2 < 0:\n",
+ " dy2 = -dy2\n",
+ " vel_in = np.flip(vel_in, 0)\n",
+ "\n",
+ "#Uncomment the line below if you wish to see the min/max velocity values\n",
+ "#print('Data minimum, maximum = ', np.amin(vel_in), np.amax(vel_in))\n",
+ "\n",
+ "# Generate X and Y grid locations\n",
+ "xdata2 = minx2 + dx2/2 + dx2*np.arange(N2)\n",
+ "ydata2 = maxy2 - dy2/2 - dy2*np.arange(M2-1,-1,-1)\n",
+ "\n",
+ "vel_extent = [xdata2[0], xdata2[-1], ydata2[0], ydata2[-1]]\n",
+ "\n",
+ "#Need to mask the no data values in the velocity data\n",
+ "vel_masked = np.ma.masked_where(vel_in == -1.0, vel_in, copy=True)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "2febb071",
+ "metadata": {},
+ "source": [
+ "### **Plot the DEM and velocity data**\n",
+ "Now we can use the `matplotlib` library to plot the DEM with the velocity data on top. We will set the transparency of the velocity layer so we can see the DEM underneath. There is also an option to save the figure as .png; we can uncomment the last line if we want to save the image."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "29fa16b7",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "%matplotlib inline\n",
+ "plt.figure(figsize=(8,8))\n",
+ "fig = plt.imshow(dem_crop_in, extent=dem_extent, origin='lower', cmap='gray')\n",
+ "fig2 = plt.imshow(vel_masked, extent=vel_extent, origin='lower', cmap='terrain', alpha=0.8)\n",
+ "plt.title('Velocity and DEM')\n",
+ "plt.xlabel('X (km)')\n",
+ "plt.ylabel('Y (km)')\n",
+ "cb = plt.colorbar(fig2, shrink=0.5)\n",
+ "cb.set_label('Velocity Magnitude (m/yr)')\n",
+ "\n",
+ "#Option to save the figure\n",
+ "#plt.savefig(\"velocity.png\", dpi=300, bbox_inches='tight', pad_inches=0.5)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "60b01514-2442-4a51-9d50-e24eeda6550f",
+ "metadata": {},
+ "source": [
+ "**Optional** - if you wish to clean up the outputs folder and remove all the downloaded .tif files then you can uncomment the lines in the following cell (remove the '#') and run it. "
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "6baa3e22-12f9-4adf-b96c-ec4413ccd6d0",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "#for x in dir_list:\n",
+ "# if x.endswith('.tif'):\n",
+ "# os.remove(os.path.join(path, x))"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "9ff31ea8",
+ "metadata": {},
+ "source": [
+ "## **3. Learning Outcomes**\n",
+ "\n",
+ "* Search and download NSIDC DAAC data using `earthaccess`\n",
+ "* Crop and resample GeoTIFF using `gdal` and `osr`\n",
+ "* Overlay one GeoTIFF on another in a plot using `rasterio`, `numpy` and `matplotlib`"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "182024ce",
+ "metadata": {},
+ "source": [
+ "## **4. Additional Resources**\n",
+ "\n",
+ "* Further details on the `earthacess` library can be found [here](https://github.com/nsidc/earthaccess)\n",
+ "* Further details on data available from NSIDC can be found [here](https://nsidc.org/data)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "470d00ef",
+ "metadata": {},
+ "outputs": [],
+ "source": []
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "Python 3 (ipykernel)",
+ "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": "3.9.15"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/notebooks/measures/Search_Download_and_Plot_GeoTIFFs_rendered.ipynb b/notebooks/measures/Search_Download_and_Plot_GeoTIFFs_rendered.ipynb
new file mode 100644
index 0000000..edbe82e
--- /dev/null
+++ b/notebooks/measures/Search_Download_and_Plot_GeoTIFFs_rendered.ipynb
@@ -0,0 +1,838 @@
+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "id": "1341755d",
+ "metadata": {},
+ "source": [
+ "
\n",
+ " \n",
+ "
\n",
+ "\n",
+ "\n",
+ "# **Download, Crop, Resample and Plot Multiple GeoTIFFs - Using MEaSUREs data sets as an example**"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "38830c9d",
+ "metadata": {},
+ "source": [
+ "## **1. Tutorial Overview**\n",
+ "\n",
+ "This tutorial guides you through programmatically accessing and downloading GeoTIFF files from the NSIDC DAAC to your local computer. We then crop and resample one GeoTIFF based on the extent and pixel size of another GeoTIFF, then plot one on top of the other. \n",
+ "\n",
+ "We will use two data sets from the NASA [MEaSUREs](https://nsidc.org/data/measures) (Making Earth System data records for Use in Research Environments) program as an example:\n",
+ "\n",
+ "* [MEaSUREs Greenland Ice Mapping Project (GrIMP) Digital Elevation Model from GeoEye and WorldView Imagery, Version 2 (NSIDC-0715)](https://nsidc.org/data/nsidc-0715/versions/2)\n",
+ "* [MEaSUREs Greenland Ice Velocity: Selected Glacier Site Velocity Maps from InSAR, Version 4 (NSIDC-0481)](https://nsidc.org/data/nsidc-0481/versions/4)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "9bb1a111",
+ "metadata": {},
+ "source": [
+ "### **Credits**\n",
+ "\n",
+ "This tutorial was developed by Jennifer Roebuck of NSIDC.\n",
+ "\n",
+ "For questions regarding the notebook, or to report problems, please create a new issue in the [NSIDC-Data-Tutorials repo](https://github.com/nsidc/NSIDC-Data-Tutorials/issues)."
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "f7d173fc",
+ "metadata": {},
+ "source": [
+ "### **Objectives** \n",
+ "\n",
+ "1. Use the `earthaccess` library for authentication and to programmatically search for and download NSIDC DAAC data that meet specified spatial and temporal requirements. \n",
+ "2. Use the `gdal` and `osr` modules from the `osgeo` package to crop and resample one GeoTIFF based on the extent and pixel size of another GeoTIFF.\n",
+ "3. Use `rasterio`, `numpy` and `matplotlib` libraries to overlay one GeoTIFF on top of another.\n"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "5cee718b",
+ "metadata": {},
+ "source": [
+ "### **Prerequisites**\n",
+ "\n",
+ "To run this tutorial you will need:\n",
+ "1. An Earthdata Login for authentication and downloading the data. It is completely free. If you don't have one, you can register for one [here](https://urs.earthdata.nasa.gov/). \n",
+ "2. A .netrc file. We recommend using a .netrc file for storing your Earthdata Login username and password. Instructions for setting one up can be found in Step 1 in this [Programmatic Data Access Guide](https://nsidc.org/data/user-resources/help-center/programmatic-data-access-guide#anchor-0). If you don't want to set one up, you will be prompted for our username and password during the tutorial.\n",
+ "3. A basic understanding of python may also be helpful for this tutorial, but not necessary."
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "25584ec8",
+ "metadata": {},
+ "source": [
+ "### **Example of end product**\n",
+ "\n",
+ "At the end of this tutorial, you will have produced a figure similar to the one below, which overlays velocity data on top of a digital elevation model:\n",
+ "\n",
+ "
\n",
+ " \n",
+ "
\n",
+ " "
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "30fbaa69",
+ "metadata": {},
+ "source": [
+ "### **Time requirement**\n",
+ "\n",
+ "This tutorial will take approximately 30 minutes to complete. \n"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "90d526d0",
+ "metadata": {},
+ "source": [
+ "## **2. Tutorial Steps**\n",
+ "\n",
+ "### **Import libraries and classes**\n",
+ "\n",
+ "We will use the following libraries:\n",
+ "1. `earthaccess` to authenticate, search and download NSIDC DAAC data \n",
+ "2. `os` to list all the files we have downloaded \n",
+ "3. `osgeo.gdal` and `osgeo.osr` to crop and resample one of the GeoTIFFs \n",
+ "4. `rasterio` and `numpy` to read the GeoTIFFs and set up a grid for plotting the data. \n",
+ "5. `matplotlib` for plotting the data. "
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "id": "da4e53c4",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "import earthaccess\n",
+ "import os\n",
+ "from osgeo import gdal, osr\n",
+ "import rasterio\n",
+ "import matplotlib.pyplot as plt\n",
+ "import numpy as np\n",
+ "from affine import Affine"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "a94373e3",
+ "metadata": {},
+ "source": [
+ "### **Authentication**\n",
+ "\n",
+ "We need to set up our authentication using our Earthdata Login credentials and the `login` method from `earthaccess`. If we have a .netrc with our Earthdata login credentials, we can just run the cell below and it will automatically authenticate. If we don't have a .netrc, we will be prompted to enter our Earthdata Login username and password. "
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "id": "257a1e51",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "EARTHDATA_USERNAME and EARTHDATA_PASSWORD are not set in the current environment, try setting them or use a different strategy (netrc, interactive)\n",
+ "You're now authenticated with NASA Earthdata Login\n",
+ "Using token with expiration date: 05/13/2023\n",
+ "Using .netrc file for EDL\n"
+ ]
+ }
+ ],
+ "source": [
+ "auth = earthaccess.login()"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "6aad881a",
+ "metadata": {},
+ "source": [
+ "### **Search for data using spatial and temporal filters**\n",
+ "This tutorial assumes we already know which data sets we would like to download (that have data in GeoTIFF format). Each data set at NSIDC has a data set ID; it can be found after the title on the data set landing page. \n",
+ "\n",
+ "We will look at two data sets focused on Greenland: a Digital Elevation Model (DEM) ([NSIDC-0715](https://nsidc.org/data/nsidc-0715)) and velocity at glacier sites ([NSIDC-0481](https://nsidc.org/data/nsidc-0481)). We will use the `search_data` method from the `earthaccess` library and the following variables to search for granules within these data sets and it will output the number of granules that meet the search criteria for each data set:\n",
+ "\n",
+ "* `short_name` - this is the data set ID e.g., NSIDC-0715, NSIDC-0481. It can be found in the data set title on the data set landing page.\n",
+ "* `version` - data set version number, also included in the data set title.\n",
+ "* `cloud_hosted` - NSIDC is in the process of migrating data sets to the cloud. The data sets we are interested in are currently still archived on-prem so will set this to False.\n",
+ "* `bounding_box` - sets a spatial filter by specifying latitude and longitude in the following order: W, S, E, and N.\n",
+ "* `temporal` - sets a temporal filter by specifying a start and end date in the format YYYY-MM-DD.\n",
+ "* `count` - this sets the maximum number of granules that will be returned in the search\n",
+ "\n",
+ "**NOTE** The data sets and the spatial and temporal filters used here are just examples. If there are other data sets in GeoTIFF format or different spatial and temporal filters we wish to try, then we can just modify the `short_name`, `bounding_box` and `temporal` variables."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "id": "62b87b2e",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "For NSIDC-0715\n",
+ "Granules found: 1\n",
+ "For NSIDC-0481\n",
+ "Granules found: 20\n"
+ ]
+ }
+ ],
+ "source": [
+ "#Search for DEM files\n",
+ "print('For NSIDC-0715')\n",
+ "results_dem = earthaccess.search_data(\n",
+ " short_name='NSIDC-0715',\n",
+ " version='2',\n",
+ " cloud_hosted=False,\n",
+ " bounding_box=(-33.45,68.29,-31.41,69.26),\n",
+ " temporal=('2015-12-01','2015-12-31'),\n",
+ " count=100\n",
+ ")\n",
+ "\n",
+ "#Search for velocity data \n",
+ "print('For NSIDC-0481')\n",
+ "results_vel = earthaccess.search_data(\n",
+ " short_name='NSIDC-0481',\n",
+ " version='4',\n",
+ " cloud_hosted=False,\n",
+ " bounding_box=(-33.45,68.29,-31.41,69.26),\n",
+ " temporal=('2017-01-01','2017-12-31'),\n",
+ " count=100\n",
+ ")"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "f58d1b42",
+ "metadata": {},
+ "source": [
+ "### **Download the data**\n",
+ "Now we have found granules that meet our search criteria we can download them using the `download` method from `earthaccess`. Note that for these particular data sets within each granule there are multiple files. So even though 1 granule was found for the DEM data set, 6 files will be downloaded as the one granule represents one tile of the DEM (tile_4_2) and for each tile there are 6 files: \n",
+ "\n",
+ "* _tile_4_2_30m_dem_v02.0.tif_ - the DEM\n",
+ "* _tile_4_2_30m_count_v02.0.tif_ - number of individual DEMs used to estimate height at each pixel\n",
+ "* _tile_4_2_30m_mindate_v02.0.tif_ - date of the most recent DEM at each pixel\n",
+ "* _tile_4_2_30m_maxdate_v02.0.tif_ - date of the oldest DEM at each pixel\n",
+ "* _tile_4_2_30m_mad_v02.0.tif_ - median absolute deviation (mad) of DEM heights at each pixel\n",
+ "* _tile_4_2_30m_browse_v02.0.tif_ - DEM hillshade image (this is the one we will use for plotting) \n",
+ "\n",
+ "For the velocity data there are 20 granules, one for each time period, and there are 5 files within each granule, for example for the time period 16 July to 27 July 2017:\n",
+ "\n",
+ "* _TSX_E68.80N_16Jul17_27Jul17_19-41-20_vv_v04.0.tif_ - velocity magnitude \n",
+ "* _TSX_E68.80N_16Jul17_27Jul17_19-41-20_vx_v04.0.tif_ - x component of velocity\n",
+ "* _TSX_E68.80N_16Jul17_27Jul17_19-41-20_vy_v04.0.tif_ - y component of velocity\n",
+ "* _TSX_E68.80N_16Jul17_27Jul17_19-41-20_ex_v04.0.tif_ - error of x component\n",
+ "* _TSX_E68.80N_16Jul17_27Jul17_19-41-20_ey_v04.0.tif_ - error of y component \n",
+ "\n",
+ "Further details can be found in the data set user guides for the [DEM](https://nsidc.org/sites/default/files/documents/user-guide/nsidc-0715-v002-userguide.pdf) and [velocity](https://nsidc.org/sites/default/files/documents/user-guide/nsidc-0481-v004-userguide.pdf) data sets. \n",
+ "\n",
+ "The progress and size of each order will be printed out.\n",
+ "\n",
+ "We will create a folder called 'outputs' to store the downloaded files. This folder will be created in the folder where we are currently running this notebook. "
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 4,
+ "id": "55d7625f",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ " Getting 1 granules, approx download size: 0.88 GB\n"
+ ]
+ },
+ {
+ "data": {
+ "application/vnd.jupyter.widget-view+json": {
+ "model_id": "3387b71aef504d3ebf27bf3b4c686dcc",
+ "version_major": 2,
+ "version_minor": 0
+ },
+ "text/plain": [
+ "SUBMITTING | : 0%| | 0/6 [00:00, ?it/s]"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "application/vnd.jupyter.widget-view+json": {
+ "model_id": "2bde0c2a33f645f2a152c16171f6ed1f",
+ "version_major": 2,
+ "version_minor": 0
+ },
+ "text/plain": [
+ "PROCESSING | : 0%| | 0/6 [00:00, ?it/s]"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "application/vnd.jupyter.widget-view+json": {
+ "model_id": "3d2603d03c51413d9593cd20e70f0a84",
+ "version_major": 2,
+ "version_minor": 0
+ },
+ "text/plain": [
+ "COLLECTING | : 0%| | 0/6 [00:00, ?it/s]"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ " Getting 20 granules, approx download size: 0.08 GB\n"
+ ]
+ },
+ {
+ "data": {
+ "application/vnd.jupyter.widget-view+json": {
+ "model_id": "68f61d70942d42f7bbfc332d34170b56",
+ "version_major": 2,
+ "version_minor": 0
+ },
+ "text/plain": [
+ "SUBMITTING | : 0%| | 0/120 [00:00, ?it/s]"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "application/vnd.jupyter.widget-view+json": {
+ "model_id": "2da54227f3e04c7da28b0d805cd21587",
+ "version_major": 2,
+ "version_minor": 0
+ },
+ "text/plain": [
+ "PROCESSING | : 0%| | 0/120 [00:00, ?it/s]"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "application/vnd.jupyter.widget-view+json": {
+ "model_id": "2d0b043ac735433b90527a82e796509e",
+ "version_major": 2,
+ "version_minor": 0
+ },
+ "text/plain": [
+ "COLLECTING | : 0%| | 0/120 [00:00, ?it/s]"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "#Set up an outputs folder to download the data to\n",
+ "path = str(os.getcwd() + '/outputs')\n",
+ "if not os.path.exists(path):\n",
+ " os.mkdir(path)\n",
+ "\n",
+ "#Download the DEM granules \n",
+ "dem_files = earthaccess.download(results_dem, path)\n",
+ "\n",
+ "#Download the velocity granules\n",
+ "vel_files = earthaccess.download(results_vel, path)\n"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "db0008d8",
+ "metadata": {},
+ "source": [
+ "### **Check the files that have been downloaded**\n",
+ "We will list all the DEM and velocity files that were downloaded, as this is needed for the next steps. "
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 6,
+ "id": "0095777f",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Files in outputs folder\n",
+ "TSX_E68.80N_16Jul17_27Jul17_19-41-20_ey_v04.0.tif\n",
+ "TSX_E68.80N_29Aug17_09Sep17_19-41-22_vy_v04.0.tif\n",
+ "TSX_E68.80N_09Sep17_01Oct17_19-41-23_vx_v04.0.tif\n",
+ "tile_4_2_30m_mad_v02.0.tif\n",
+ "TSX_E68.80N_01Oct17_12Oct17_19-41-24_vy_v04.0.tif\n",
+ "TSX_E68.80N_02Jun17_13Jun17_19-41-18_vv_v04.0.tif\n",
+ "TSX_E68.80N_11May17_22May17_19-41-18_vv_v04.0.tif\n",
+ "TSX_E68.80N_07Aug17_18Aug17_19-41-22_ex_v04.0.tif\n",
+ "TSX_E68.80N_01Oct17_12Oct17_19-41-24_ey_v04.0.tif\n",
+ "TSX_E68.80N_07Aug17_18Aug17_19-41-22_vx_v04.0.tif\n",
+ "TSX_E68.80N_21Jan17_01Feb17_19-41-14_vv_v04.0.tif\n",
+ "TSX_E68.80N_16Jul17_27Jul17_19-41-20_vy_v04.0.tif\n",
+ "TSX_E68.80N_29Aug17_09Sep17_19-41-22_ey_v04.0.tif\n",
+ "TSX_E68.80N_09Sep17_01Oct17_19-41-23_ex_v04.0.tif\n",
+ "TSX_E68.80N_13Jun17_24Jun17_19-41-19_vv_v04.0.tif\n",
+ "TSX_E68.80N_23Oct17_14Nov17_19-41-25_ex_v04.0.tif\n",
+ "TSX_E68.80N_27Jul17_07Aug17_19-41-21_vx_v04.0.tif\n",
+ "TSX_E68.80N_30Apr17_11May17_19-41-17_vx_v04.0.tif\n",
+ "TSX_E68.80N_22May17_02Jun17_19-41-18_ey_v04.0.tif\n",
+ "TSX_E68.80N_14Nov17_25Nov17_19-41-25_vx_v04.0.tif\n",
+ "TSX_E68.80N_01Feb17_12Feb17_19-41-14_ex_v04.0.tif\n",
+ "TSX_E68.80N_22May17_02Jun17_19-41-18_vy_v04.0.tif\n",
+ "TSX_E68.80N_14Nov17_25Nov17_19-41-25_ex_v04.0.tif\n",
+ "TSX_E68.80N_01Feb17_12Feb17_19-41-14_vx_v04.0.tif\n",
+ "tile_4_2_30m_dem_v02.0.tif\n",
+ "TSX_E68.80N_23Oct17_14Nov17_19-41-25_vx_v04.0.tif\n",
+ "TSX_E68.80N_27Jul17_07Aug17_19-41-21_ex_v04.0.tif\n",
+ "TSX_E68.80N_30Apr17_11May17_19-41-17_ex_v04.0.tif\n",
+ "TSX_E68.80N_16Jul17_27Jul17_19-41-20_ex_v04.0.tif\n",
+ "TSX_E68.80N_09Sep17_01Oct17_19-41-23_vy_v04.0.tif\n",
+ "TSX_E68.80N_29Aug17_09Sep17_19-41-22_vx_v04.0.tif\n",
+ "TSX_E68.80N_07Aug17_18Aug17_19-41-22_ey_v04.0.tif\n",
+ "TSX_E68.80N_01Oct17_12Oct17_19-41-24_vx_v04.0.tif\n",
+ "TSX_E68.80N_12Oct17_23Oct17_19-41-24_vv_v04.0.tif\n",
+ "TSX_E68.80N_07Aug17_18Aug17_19-41-22_vy_v04.0.tif\n",
+ "TSX_E68.80N_01Oct17_12Oct17_19-41-24_ex_v04.0.tif\n",
+ "tile_4_2_30m_count_v02.0.tif\n",
+ "TSX_E68.80N_05Jul17_16Jul17_19-41-20_vv_v04.0.tif\n",
+ "TSX_E68.80N_16Jul17_27Jul17_19-41-20_vx_v04.0.tif\n",
+ "TSX_E68.80N_09Sep17_01Oct17_19-41-23_ey_v04.0.tif\n",
+ "TSX_E68.80N_29Aug17_09Sep17_19-41-22_ex_v04.0.tif\n",
+ "TSX_E68.80N_30Apr17_11May17_19-41-17_vy_v04.0.tif\n",
+ "TSX_E68.80N_27Jul17_07Aug17_19-41-21_vy_v04.0.tif\n",
+ "TSX_E68.80N_23Oct17_14Nov17_19-41-25_ey_v04.0.tif\n",
+ "TSX_E68.80N_14Nov17_25Nov17_19-41-25_vy_v04.0.tif\n",
+ "TSX_E68.80N_01Feb17_12Feb17_19-41-14_ey_v04.0.tif\n",
+ "TSX_E68.80N_22May17_02Jun17_19-41-18_ex_v04.0.tif\n",
+ "TSX_E68.80N_18Aug17_29Aug17_19-41-22_vv_v04.0.tif\n",
+ "TSX_E68.80N_14Nov17_25Nov17_19-41-25_ey_v04.0.tif\n",
+ "TSX_E68.80N_01Feb17_12Feb17_19-41-14_vy_v04.0.tif\n",
+ "TSX_E68.80N_30Dec16_21Jan17_19-41-16_vv_v04.0.tif\n",
+ "TSX_E68.80N_24Jun17_05Jul17_19-41-19_vv_v04.0.tif\n",
+ "TSX_E68.80N_22May17_02Jun17_19-41-18_vx_v04.0.tif\n",
+ "TSX_E68.80N_30Apr17_11May17_19-41-17_ey_v04.0.tif\n",
+ "TSX_E68.80N_27Jul17_07Aug17_19-41-21_ey_v04.0.tif\n",
+ "TSX_E68.80N_23Oct17_14Nov17_19-41-25_vy_v04.0.tif\n",
+ "TSX_E68.80N_05Jul17_16Jul17_19-41-20_vx_v04.0.tif\n",
+ "tile_4_2_30m_maxdate_v02.0.tif\n",
+ "TSX_E68.80N_16Jul17_27Jul17_19-41-20_vv_v04.0.tif\n",
+ "TSX_E68.80N_12Oct17_23Oct17_19-41-24_ex_v04.0.tif\n",
+ "TSX_E68.80N_11May17_22May17_19-41-18_ey_v04.0.tif\n",
+ "TSX_E68.80N_02Jun17_13Jun17_19-41-18_ey_v04.0.tif\n",
+ "TSX_E68.80N_21Jan17_01Feb17_19-41-14_vy_v04.0.tif\n",
+ "TSX_E68.80N_01Oct17_12Oct17_19-41-24_vv_v04.0.tif\n",
+ "TSX_E68.80N_02Jun17_13Jun17_19-41-18_vy_v04.0.tif\n",
+ "TSX_E68.80N_12Oct17_23Oct17_19-41-24_vx_v04.0.tif\n",
+ "TSX_E68.80N_11May17_22May17_19-41-18_vy_v04.0.tif\n",
+ "TSX_E68.80N_21Jan17_01Feb17_19-41-14_ey_v04.0.tif\n",
+ "TSX_E68.80N_29Aug17_09Sep17_19-41-22_vv_v04.0.tif\n",
+ "TSX_E68.80N_05Jul17_16Jul17_19-41-20_ex_v04.0.tif\n",
+ "TSX_E68.80N_13Jun17_24Jun17_19-41-19_ey_v04.0.tif\n",
+ "tile_4_2_30m_mindate_v02.0.tif\n",
+ "TSX_E68.80N_30Dec16_21Jan17_19-41-16_vx_v04.0.tif\n",
+ "TSX_E68.80N_18Aug17_29Aug17_19-41-22_ex_v04.0.tif\n",
+ "TSX_E68.80N_24Jun17_05Jul17_19-41-19_vx_v04.0.tif\n",
+ "TSX_E68.80N_22May17_02Jun17_19-41-18_vv_v04.0.tif\n",
+ "TSX_E68.80N_24Jun17_05Jul17_19-41-19_ex_v04.0.tif\n",
+ "TSX_E68.80N_30Dec16_21Jan17_19-41-16_ex_v04.0.tif\n",
+ "TSX_E68.80N_18Aug17_29Aug17_19-41-22_vx_v04.0.tif\n",
+ "TSX_E68.80N_13Jun17_24Jun17_19-41-19_vy_v04.0.tif\n",
+ "tile_4_2_30m_browse_v02.0.tif\n",
+ "TSX_E68.80N_05Jul17_16Jul17_19-41-20_vy_v04.0.tif\n",
+ "TSX_E68.80N_07Aug17_18Aug17_19-41-22_vv_v04.0.tif\n",
+ "TSX_E68.80N_21Jan17_01Feb17_19-41-14_vx_v04.0.tif\n",
+ "TSX_E68.80N_12Oct17_23Oct17_19-41-24_ey_v04.0.tif\n",
+ "TSX_E68.80N_11May17_22May17_19-41-18_ex_v04.0.tif\n",
+ "TSX_E68.80N_02Jun17_13Jun17_19-41-18_ex_v04.0.tif\n",
+ "TSX_E68.80N_21Jan17_01Feb17_19-41-14_ex_v04.0.tif\n",
+ "TSX_E68.80N_02Jun17_13Jun17_19-41-18_vx_v04.0.tif\n",
+ "TSX_E68.80N_12Oct17_23Oct17_19-41-24_vy_v04.0.tif\n",
+ "TSX_E68.80N_11May17_22May17_19-41-18_vx_v04.0.tif\n",
+ "TSX_E68.80N_09Sep17_01Oct17_19-41-23_vv_v04.0.tif\n",
+ "TSX_E68.80N_05Jul17_16Jul17_19-41-20_ey_v04.0.tif\n",
+ "TSX_E68.80N_23Oct17_14Nov17_19-41-25_vv_v04.0.tif\n",
+ "TSX_E68.80N_13Jun17_24Jun17_19-41-19_ex_v04.0.tif\n",
+ "TSX_E68.80N_01Feb17_12Feb17_19-41-14_vv_v04.0.tif\n",
+ "TSX_E68.80N_30Dec16_21Jan17_19-41-16_vy_v04.0.tif\n",
+ "TSX_E68.80N_18Aug17_29Aug17_19-41-22_ey_v04.0.tif\n",
+ "TSX_E68.80N_24Jun17_05Jul17_19-41-19_vy_v04.0.tif\n",
+ "TSX_E68.80N_14Nov17_25Nov17_19-41-25_vv_v04.0.tif\n",
+ "TSX_E68.80N_24Jun17_05Jul17_19-41-19_ey_v04.0.tif\n",
+ "TSX_E68.80N_30Dec16_21Jan17_19-41-16_ey_v04.0.tif\n",
+ "TSX_E68.80N_18Aug17_29Aug17_19-41-22_vy_v04.0.tif\n",
+ "TSX_E68.80N_30Apr17_11May17_19-41-17_vv_v04.0.tif\n",
+ "TSX_E68.80N_13Jun17_24Jun17_19-41-19_vx_v04.0.tif\n",
+ "TSX_E68.80N_27Jul17_07Aug17_19-41-21_vv_v04.0.tif\n"
+ ]
+ }
+ ],
+ "source": [
+ "dir_list = os.listdir(path)\n",
+ "\n",
+ "print('Files in outputs folder')\n",
+ "\n",
+ "for x in dir_list:\n",
+ " if x.endswith('.tif'):\n",
+ " print(x)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "5afa949b",
+ "metadata": {},
+ "source": [
+ "### **Select and read in the DEM file and velocity file**\n",
+ "\n",
+ "Based on the list of filenames above, we will select the GeoTIFFs that we wish to plot and input them into the cell below. We will use the 'browse' GeoTIFF of the DEM tile, as that provides the best continuous surface for visual display. For the velocity we will plot the velocity magnitude, which is denoted by 'vv' in the filename, and we will plot the velocity covering the time period 07 August to 18 August 2017. \n",
+ "\n",
+ "The DEM GeoTIFF covers a larger area than the velocity GeoTIFF, and we will be cropping the DEM GeoTIFF to the extent of the velocity GeoTIFF, so we will also set a filename for the cropped DEM GeoTIFF. "
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 7,
+ "id": "36027699",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "vel_fp = str(path + '/TSX_E68.80N_07Aug17_18Aug17_19-41-22_vv_v04.0.tif')\n",
+ "\n",
+ "dem_fp = str(path + '/tile_4_2_30m_browse_v02.0.tif')\n",
+ "\n",
+ "dem_crop = str(path + '/dem_crop_100.tif')"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "39178989",
+ "metadata": {},
+ "source": [
+ "### **Crop and resample DEM file based on velocity file extent and pixel size**\n",
+ "\n",
+ "We will use the `open` method from the `gdal` module to read the velocity GeoTIFF and get the extent and pixel size, and we will use the `SpatialReference` method from the `osr` module to get the projection information. "
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 8,
+ "id": "16184745",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "#open the velocity GeoTIFF that we specified above\n",
+ "vel_raster = gdal.Open(vel_fp)\n",
+ "\n",
+ "#get the grid information (extent and pixel size) from the velocity file\n",
+ "geoTransform = vel_raster.GetGeoTransform()\n",
+ "\n",
+ "#get the projection information (EPSG code) from the velocity file\n",
+ "proj=osr.SpatialReference(wkt=vel_raster.GetProjection())"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "80107a09-2f45-408f-90fc-85fa5923e890",
+ "metadata": {},
+ "source": [
+ "We will now assign the information, retrieved in the cell above, to variables that can be used to crop and downsample the DEM GeoTIFF."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 9,
+ "id": "d2db7449-d293-4d9f-a3ff-4a721c7bf6be",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "#assign the EPSG code to a variable that will be used by GDAL to ensure the output file is in the same projection\n",
+ "epsg = 'EPSG:' + proj.GetAttrValue('AUTHORITY',1)\n",
+ "\n",
+ "# assign the pixel size and extent info to variables that will be used to crop and downsample the data \n",
+ "pixelSizeX = geoTransform[1]\n",
+ "pixelSizeY = geoTransform[5]\n",
+ "minx = geoTransform[0]\n",
+ "maxy = geoTransform[3]\n",
+ "maxx = minx + pixelSizeX * vel_raster.RasterXSize\n",
+ "miny = maxy + pixelSizeY * vel_raster.RasterYSize"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "babecd8c-5ebf-4e96-ae4a-b6eff4110216",
+ "metadata": {},
+ "source": [
+ "Now we will use these variables with the `Warp` method from the `gdal` module to crop and downsample the DEM GeoTIFF and save it as new file."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 10,
+ "id": "2e0f586b-55d7-4eea-8193-a70c0d887ed4",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "#set up the keyword arguments needed for the Warp method to crop and downsample the DEM geotiff\n",
+ "kwargs = { 'format': 'GTiff', 'outputBounds': [minx, miny, maxx, maxy], 'outputBoundsSRS': epsg, 'xRes': pixelSizeX, 'yRes': pixelSizeY}\n",
+ "\n",
+ "#use the Warp method to crop and downsample the DEM GeoTIFF and save it as a new file\n",
+ "ds = gdal.Warp(dem_crop, dem_fp, **kwargs)\n",
+ "ds=None"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "c743d341",
+ "metadata": {},
+ "source": [
+ "### **Set up the grids to plot the DEM and velocity data**\n",
+ "To plot the cropped and downsampled DEM with the velocity data, we need to set up a grid. We will read in the data and metadata using the `open` and `meta` methods, then we will use the `transform` or `affine` methods to map the image coordinates to world coordinates, all methods from the `rasterio` package. This information will then be used to generate x and y grid locations using the `arrange` method from the `numpy` package. It will also mask the no data values from the velocity GeoTIFF to produce a nicer plot. The cell below will print out the metadata from both files."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 11,
+ "id": "15fc1119",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "driver GTiff\n",
+ "dtype uint8\n",
+ "nodata 0.0\n",
+ "width 818\n",
+ "height 905\n",
+ "count 1\n",
+ "crs EPSG:3413\n",
+ "transform | 100.00, 0.00, 435250.00|\n",
+ "| 0.00,-100.00,-2228650.00|\n",
+ "| 0.00, 0.00, 1.00|\n",
+ "driver GTiff\n",
+ "dtype float32\n",
+ "nodata -1.0\n",
+ "width 818\n",
+ "height 905\n",
+ "count 1\n",
+ "crs EPSG:3413\n",
+ "transform | 100.00, 0.00, 435250.00|\n",
+ "| 0.00,-100.00,-2228650.00|\n",
+ "| 0.00, 0.00, 1.00|\n"
+ ]
+ }
+ ],
+ "source": [
+ "# read in subsetted and resampled DEM\n",
+ "dem_src = rasterio.open(dem_crop)\n",
+ "\n",
+ "# print out metadata information\n",
+ "for k in dem_src.meta:\n",
+ " print(k,dem_src.meta[k])\n",
+ "\n",
+ "# Retrieve the affine transformation\n",
+ "if isinstance(dem_src.transform, Affine):\n",
+ " transform = dem_src.transform\n",
+ "else:\n",
+ " transform = dem_src.affine\n",
+ "\n",
+ "N = dem_src.width\n",
+ "M = dem_src.height\n",
+ "dx = transform.a\n",
+ "dy = transform.e\n",
+ "minx = transform.c\n",
+ "maxy = transform.f\n",
+ "\n",
+ "# Read the image data, flip upside down if necessary\n",
+ "dem_crop_in = dem_src.read(1)\n",
+ "if dy < 0:\n",
+ " dy = -dy\n",
+ " dem_crop_in = np.flip(dem_crop_in, 0)\n",
+ "\n",
+ "#Uncomment the line below if you wish to see the min/max DEM values\n",
+ "#print('Data minimum, maximum = ', np.amin(data_in), np.amax(data_in))\n",
+ "\n",
+ "# Generate X and Y grid locations\n",
+ "xdata = minx + dx/2 + dx*np.arange(N)\n",
+ "ydata = maxy - dy/2 - dy*np.arange(M-1,-1,-1)\n",
+ "\n",
+ "dem_extent = [xdata[0], xdata[-1], ydata[0], ydata[-1]]\n",
+ "\n",
+ "### read in the velocity data\n",
+ "vel_data = rasterio.open(vel_fp)\n",
+ "\n",
+ "for k in vel_data.meta:\n",
+ " print(k,vel_data.meta[k])\n",
+ "\n",
+ "# Retrieve the affine transformation\n",
+ "if isinstance(vel_data.transform, Affine):\n",
+ " transform = vel_data.transform\n",
+ "else:\n",
+ " transform = vel_data.affine\n",
+ "\n",
+ "N2 = vel_data.width\n",
+ "M2 = vel_data.height\n",
+ "dx2 = transform.a\n",
+ "dy2 = transform.e\n",
+ "minx2 = transform.c\n",
+ "maxy2 = transform.f\n",
+ "\n",
+ "# Read the image data, flip upside down if necessary\n",
+ "vel_in = vel_data.read(1)\n",
+ "if dy2 < 0:\n",
+ " dy2 = -dy2\n",
+ " vel_in = np.flip(vel_in, 0)\n",
+ "\n",
+ "#Uncomment the line below if you wish to see the min/max velocity values\n",
+ "#print('Data minimum, maximum = ', np.amin(vel_in), np.amax(vel_in))\n",
+ "\n",
+ "# Generate X and Y grid locations\n",
+ "xdata2 = minx2 + dx2/2 + dx2*np.arange(N2)\n",
+ "ydata2 = maxy2 - dy2/2 - dy2*np.arange(M2-1,-1,-1)\n",
+ "\n",
+ "vel_extent = [xdata2[0], xdata2[-1], ydata2[0], ydata2[-1]]\n",
+ "\n",
+ "#Need to mask the no data values in the velocity data\n",
+ "vel_masked = np.ma.masked_where(vel_in == -1.0, vel_in, copy=True)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "2febb071",
+ "metadata": {},
+ "source": [
+ "### **Plot the DEM and velocity data**\n",
+ "Now we can use the `matplotlib` library to plot the DEM with the velocity data on top. We will set the transparency of the velocity layer so we can see the DEM underneath. There is also an option to save the figure as .png; we can uncomment the last line if we want to save the image."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 12,
+ "id": "29fa16b7",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": "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\n",
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "%matplotlib inline\n",
+ "plt.figure(figsize=(8,8))\n",
+ "fig = plt.imshow(dem_crop_in, extent=dem_extent, origin='lower', cmap='gray')\n",
+ "fig2 = plt.imshow(vel_masked, extent=vel_extent, origin='lower', cmap='terrain', alpha=0.8)\n",
+ "plt.title('Velocity and DEM')\n",
+ "plt.xlabel('X (km)')\n",
+ "plt.ylabel('Y (km)')\n",
+ "cb = plt.colorbar(fig2, shrink=0.5)\n",
+ "cb.set_label('Velocity Magnitude (m/yr)')\n",
+ "\n",
+ "#Option to save the figure\n",
+ "#plt.savefig(\"velocity.png\", dpi=300, bbox_inches='tight', pad_inches=0.5)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "60b01514-2442-4a51-9d50-e24eeda6550f",
+ "metadata": {},
+ "source": [
+ "**Optional** - if you wish to clean up the outputs folder and remove all the downloaded .tif files then you can uncomment the lines in the following cell (remove the '#') and run it. "
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "6baa3e22-12f9-4adf-b96c-ec4413ccd6d0",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "#for x in dir_list:\n",
+ "# if x.endswith('.tif'):\n",
+ "# os.remove(os.path.join(path, x))"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "9ff31ea8",
+ "metadata": {},
+ "source": [
+ "## **3. Learning Outcomes**\n",
+ "\n",
+ "* Search and download NSIDC DAAC data using `earthaccess`\n",
+ "* Crop and resample GeoTIFF using `gdal` and `osr`\n",
+ "* Overlay one GeoTIFF on another in a plot using `rasterio`, `numpy` and `matplotlib`"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "182024ce",
+ "metadata": {},
+ "source": [
+ "## **4. Additional Resources**\n",
+ "\n",
+ "* Further details on the `earthacess` library can be found [here](https://github.com/nsidc/earthaccess)\n",
+ "* Further details on data available from NSIDC can be found [here](https://nsidc.org/data)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "470d00ef",
+ "metadata": {},
+ "outputs": [],
+ "source": []
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "Python 3 (ipykernel)",
+ "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": "3.9.15"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/notebooks/measures/environment/environment.yml b/notebooks/measures/environment/environment.yml
new file mode 100644
index 0000000..7817d6f
--- /dev/null
+++ b/notebooks/measures/environment/environment.yml
@@ -0,0 +1,11 @@
+name: measures
+channels:
+- conda-forge
+dependencies:
+- python=3.9
+- gdal=3.6
+- matplotlib-base>=3.5
+- numpy=1.23.5
+- earthaccess>=0.5.1
+- rasterio~=1.3.6
+- affine
diff --git a/notebooks/measures/img/example_geotiff_plot.png b/notebooks/measures/img/example_geotiff_plot.png
new file mode 100644
index 0000000..bc04872
Binary files /dev/null and b/notebooks/measures/img/example_geotiff_plot.png differ
diff --git a/notebooks/measures/img/nsidc_logo.png b/notebooks/measures/img/nsidc_logo.png
new file mode 100644
index 0000000..35a06e0
Binary files /dev/null and b/notebooks/measures/img/nsidc_logo.png differ