Time-series assets are missing date/time metadata

[benscarlson]

In order to be accessible to the annotation library, time-series data should have system:start_time and system:end_time information.

For climatology data, the year should be set to 1800

[adammwilson]

Why 1800? If you are just picking a year, I would recommend something
within the period of the data at least. Maybe a nice round 2000? Or are
you doing 1800 to allow filtering only climatologies by choosing their date?

__o Adam M. Wilson, Ph.D. [email protected]
[email protected] `<, Department of Geography & Program in Evolution,
Ecology, & Behavior
()/ () University at Buffalo
######## http://www.AdamWilson.us http://www.adamwilson.us/
@AdamWilsonLab https://twitter.com/AdamWilsonLab

On Tue, May 3, 2016 at 4:47 PM, Ben Carlson [email protected]
wrote:

In order to be accessible to the annotation library, time-series data
should have system:start_time and system:end_time information.

For climatology data, the year should be set to 1800

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#4

[benscarlson]

Good question - the 1800 basically means 'no year'. It's really just a hack to make the join work. I'm envisioning that if you have a bunch of data and you want to, say, join it with the monthly cloud climatology, you don't really care about the year. Really what you want is to annotate all the points from Jan with the January image, all the points from Feb with the Feb image, etc. There are a couple of ways to make this happen, but this approach allows us to always use the same two fields (even with daily data) - system:start_time and system:end_time - to do the joining. A different approach could be - on climatology layers we could have a new metadata field called "month" and then I just match on month. That would not require funky defaults, but means we loose some of the generality.

Here is how it works now:
https://github.com/MapofLife/annotate/blob/master/annotation.py#L219