Stuck on an issue?

Lightrun Answers was designed to reduce the constant googling that comes with debugging 3rd party libraries. It collects links to all the places you might be looking at while hunting down a tough bug.

And, if you’re still stuck at the end, we’re happy to hop on a call to see how we can help out.

Support feature timeseries extraction

See original GitHub issue

This is a feature request on behalf of @mads-gras.

The idea is to extract values from a stack of images at the same position. Challenges:

  • Opening many COGs over S3 and extracting small subsets will be slow.
  • We would need another API endpoint, and a clean way to specify the images you want (can’t rely on last key as in /rgb).
  • Terracotta does not know about pixels, only about xyz tiles and physical bounds.

If we want to implement this, I think the only way to do it would be to accept a GeoJSON AOI and use that as a window (which can be arbitrarily small). We will also have to do a performance test to see if it’s anywhere near acceptable.

Issue Analytics

  • State:closed
  • Created 5 years ago
  • Comments:12

github_iconTop GitHub Comments

ewsterrenburgcommented, Sep 6, 2019

@j08lue Thanks for the quick reaction.

It makes sense and is more along the lines of what I was originally thinking (then came across terracotta looking for a solution to serve tiles for the layers to be plotted in the chart and started thinking out loud while being blinded by all goodies (api documentation, zappa etc) already in place 😃

I can imagine a set of object keys or file paths for a certain location (possibly in combination with key) would be helpful. Let me think this a bit more through…

mrpgraaecommented, Oct 3, 2018

Scratch the first one, we have the bounds in the metadata.

Read more comments on GitHub >

github_iconTop Results From Across the Web

Time Series Feature Extraction on (Really) Large Data Samples
In this series of two posts, we will explore how we can extract features from time series using tsfresh - even when the...
Read more >
Time Series Feature Extraction - SAS
Feature extraction is the practice of enhancing machine learning by finding characteristics in the data that help solve a particular problem.
Read more >
TSFEL: Time Series Feature Extraction Library - ScienceDirect
TSFEL is designed to support the process of fast exploratory data analysis and feature extraction on time series with computational cost evaluation.
Read more >
3. Extracting features from time series - pyts - Read the Docs
Therefore, algorithms that extract features from time series have been developed. These algorithms transforms a dataset of time series with shape (n_samples ...
Read more >
Time Series Feature Extraction - M O N O L I T H
Create new columns of features x'(t) by performing a transformation on an existing column(s) of a time dependent variable x(t), where the time...
Read more >

github_iconTop Related Medium Post

No results found

github_iconTop Related StackOverflow Question

No results found

github_iconTroubleshoot Live Code

Lightrun enables developers to add logs, metrics and snapshots to live code - no restarts or redeploys required.
Start Free

github_iconTop Related Reddit Thread

No results found

github_iconTop Related Hackernoon Post

No results found

github_iconTop Related Tweet

No results found

github_iconTop Related Post

No results found

github_iconTop Related Hashnode Post

No results found