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JUSTIN BRAATEN: Hi, I'm Justin, a technical writer
for the Earth Engine team.
In this segment we'll be exploring the Earth Engine data
catalog.
The data catalog is a public archive
of over 700 geospatial data sets, made available
through the Earth Engine API.
Major data set categories include imagery, climate
and weather, and geophysical.
Auto ingestion pipelines are continuously
updating and adding new observations to the archive.
Some data sets, such as GOES, Sentinel, and Landsat,
are ingested in near real time, while others
are updated periodically as new data are made available
by providers.
Catalog entries and their metadata
are accessible via a website.
Let's take a look.
Welcome to the data catalog.
You can find the site URL provided
in the video description, but I often
simply do a web search for Earth Engine data catalog.
You can also access it from the JavaScript code editors search
bar menu, selecting View Data Catalog.
You can also get there from the Earth Engine developer guide
pages, using this data catalog tab.
With over 700 data sets, discovery
is an important function of the site.
There are several ways to find data of interest.
There are easy access points for broad categories of data,
such as those shown here on the home page.
Clicking any one of them takes you
to a page of relevant data sets.
There are also dedicated pages for Landsat, Motus,
and Sentinel.
You can browse by tags, search for keywords and phrases,
or simply view all data sets using this tab, or this button.
Let's look more closely at these options,
starting with the broad categories here.
Suppose you're interested in terrain data sets.
Let's explore elevation.
These pages are showing you the results of filtering
the catalog by a tag.
See that the active tab has changed from the home page
to the browse by tags page.
What you see here are cards representing these data sets,
with a title, a thumbnail, description preview, and list
of available tags.
From this page, we can filter these data sets further.
Let's try lidar, for instance.
And we see that we've reduced the collection down to four,
from many.
You can also click on tags to filter the collection.
Let's try Australia.
You can see a full list of tags by clicking browse by tags.
And here, again, we can filter by tags, which is helpful,
given how many there are.
Let's try sea surface temperature.
We see there's eight data sets.
We can try evapotranspiration.
We see that there's six data sets.
How about forest disturbance?
Nothing.
Well, in this case, we can try to search
for keywords and phrases.
And we will search all results in the Earth Engine data
catalog.
And now we see that there are a number of data sets
whose descriptions include the word forest and disturbance.
Let's take a closer look at a data set's metadata page.
Let's go to Landsat, Landsat eight, and select Surface
Reflectance Tier Two.
Each data set in the catalog has a page
that looks similar to this, that includes
a thumbnail representation, dates of availability,
a provider's link, a code snippet
to import the collection or image
or feature into your Earth Engine script, a list of tags.
It also includes tabs sections for a data set description,
the bands that are available--
and these names are important.
They are used in the script to select
data and your algorithms.
It also includes the image properties associated,
which are important in your scripts for filtering
images by metadata.
At the bottom, we find an example of code
to import and visualize each data set in the Code Editor.
You can copy and paste this into the Code Editor,
or simply click this button, which will take you
to the Code Editor.
And if you hit Run, it will evaluate the code
and provide a visualization.
Well, that concludes this segment on the Earth Engine
data catalog.
If you find that there's an important data set
for your work that's unavailable, please let us
know by filing a data request.
You can find instructions in the video description.
Happy coding.
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