plant99

  Location:  India
  Remote: Yes
  Willing to relocate: Yes
  Technologies: Golang, Python, Node.JS, ReactJS, PostgreSQL, Docker, Airflow, AWS platform
  Résumé/CV: https://shivashis.dev/files/resume_shivashis_padhi.pdf
  Email: shivashispadhi@gmail.com

I am also open to release/platform engineering roles, but that'd be a first for me.

I can work remotely matching GMT+0 to GMT+8 timezones.

Thank you, I hope you'd find it useful.

Thanks, I hope you found it useful.

  Location:  India
  Remote: Yes
  Willing to relocate: Yes
  Technologies: Golang, Python, Node.JS, ReactJS, PostgreSQL, Docker, Airflow, AWS platform
  Résumé/CV: https://shivashis.dev/files/resume_shivashis_padhi.pdf
  Email: shivashispadhi@gmail.com

I'm especially good with deep-diving into unfamiliar code bases, and working with backend side of things with Golang/Python.

I can work remotely matching GMT+0 to GMT+8 timezones.

Location: Bangalore

Remote: Yes

Willing to relocate: Yes

Technologies: Python, NodeJS, Geospatial data engineering, FastAPI, Flask, Express, React, Redux, Docker, Kubernetes

Résumé/CV: https://drive.google.com/file/d/1jjl4KgPZQHhWtoRM1wUvScFQ-dM...

Email: shivashispadhi@gmail.com

You human, are inspiring!

https://miniflux.app/

Minimalistic, simple, easy-to-use. I use a dockerized version running in locally with a postgres database.

Thanks, I'll look into it, and try integrating the data source with the tool.

This is a gold mine, thanks for sharing!

Thanks for trying it out. ^^

https://github.com/plant99/felicette/wiki/Sample-images-gene...

Oh yes, there are plans to integrate Sentinel images as well, but the data fetch layer has to be worked on to handle auth/AWS config to fetch data from buckets.

So released with Landsat 8 first, and I think sentinel 2 has better resolution, up to 10m, if I am not wrong. So it'd be a lot better if Sentinel 2 integration were in-place.

Right, thanks a lot for your suggestions.

Points 2, 3 are in the to-do list. Will definitely add 1, 4.

Oh yes haha, I feel you. I'm using some amazing libraries as dependencies, created by 'Mapbox'. Now you know why it's (lon, lat) ^^

And thanks for checking it out!

Hmm. Weird, maybe faulty data for some row/path(s).

I'm checking on this, thanks for reporting this. Meanwhile, could you please raise this as an issue on the repository?

Um, don't know of a tool to process aerial imagery using phone/tablet.

But I'm sure you're aware of https://qgis.org/en/site/. Some of my friends used this to analyze vegetation using drone imagery.

Oh from the logs it looks like `numpy` wasn't installed. Please install GDAL=={ogrinfo --version}, and numpy before installing felicette, and that'd most probably solve it.

Wow, that just makes it a lot simpler for people to test/use. Could you please share your GitHub username, so I can attribute with a link to the docker image in the README?

Yess, thanks for the correction.

"The satellite has a 16-day repeat cycle with an equatorial crossing time: 10:00 a.m. +/- 15 minutes." from USGS website.

It downloads imagery. At first I thought this was a project to simulate satellite imagery from OSM data or something.

Will update the README, thanks for pointing it out.

Landsat is what 30 meters-per-pixel? That's not high-resolution.

With the panchromatic band, we can get 15m resolution. But you're right with the fact that one can get images with better resolution on any commercial platforms.

But even OpenMapTiles renders at 15m, I feel. Still have to look into some docs though, I'm curious.

Thanks for the feedback, I agree with you on this. I'll add this to the to-do list.

Very weird, can you raise an issue with some logs, I'd love to take a look at them and see what went wrong. Thanks for looking into the tool.

This is awesome! I'd go through the code as well in a bit, but the twitter bots are really amazing.

Oops, will add a section soon. But for now, it gets the data from a public Landsat 8 AWS storage.

https://registry.opendata.aws/landsat-8/

Right, thanks for the feedback. They are 16bits JPEGs, thus the large file sizes.

And the images are generated in your system with the data from a public source.

Not sure who owns the copyright to them. ^^

Thank you!

Hi, not yet. It searches for all Landsat 8 images on AWS with lowest cloud cover.

But even at it's full potential, Landsat 8 gives a temporal resolution of 14 days for a location, iirc.

Yes, it uses sat-utils to search STAC. It's a beautiful project.

Felicette is a dead-simple CLI tool which searches, downloads, generates, and visualizes satellite imagery in the form of RGB jpegs, taking inputs in the form of location's name or coordinates. It also has options to visualize CIR vegetation data.