6 ms·

Mapping Australia’s Coast with Landsat Satellite Imagery

75 points by daleroberts 9y ago

provl 9y ago
hi
provl 9y ago
hi
provl 9y ago
hepl me
provl 9y ago
Help me to do hacker
flyaway 9y ago
If you're looking to get into Landsat imagery yourself, I highly recommend the command line tool landsat-util[1] (although you do need to install it using Python 2). It allows you to search with lat/lon pairs, cloud cover, etc, and comes with tools to automatically do the band combining for you so you can have easy real-color images. I find the the browser-friendly tools like LandsatLook[2] or Earth Explorer[3] to be more difficult to use, but if you're interested USGS has posted some great tutorials for them on YouTube[4]. There are also some interesting ideas about how to use the data itself beyond just creating pretty pictures. --- [1]: https://github.com/developmentseed/landsat-util https://github.com/developmentseed/landsat-util [2]: https://landsatlook.usgs.gov/ https://landsatlook.usgs.gov/ [3]: https://earthexplorer.usgs.gov/ https://earthexplorer.usgs.gov/ [4]: https://www.youtube.com/user/usgs/search?query=landsat https://www.youtube.com/user/usgs/search?query=landsat
- daleroberts 9y ago
  Even cooler is when you take landsat-util and visualise results directly in your terminal, see here: https://github.com/daleroberts/tv https://github.com/daleroberts/tv
  - flyaway 9y ago
    That's fantastic! A perfect combination of tech and use case.
    - daleroberts 9y ago
      Only a cheap trick, but a useful one :-)
- llccbb 9y ago
  RemotePixel.ca[0] has my favorite interface for discovering Landsat 8 images. [0] https://remotepixel.ca/projects/satellitesearch.html https://remotepixel.ca/projects/satellitesearch.html
- JorgeGT 9y ago
  Also, both Landsat and Sentinel (which is still free but has higher resolution, 10m/px, without needing pansharpening) data is available on AWS: L8: https://aws.amazon.com/es/public-datasets/landsat/ https://aws.amazon.com/es/public-datasets/landsat/ S2: http://sentinel-pds.s3-website.eu-central-1.amazonaws.com/ http://sentinel-pds.s3-website.eu-central-1.amazonaws.com/
  - llccbb 9y ago
    https://landsatonaws.com https://landsatonaws.com has a nice interface I think. API is https://landsatonaws.com/{path}/{row}/{scene} https://landsatonaws.com/{path}/{row}/{scene}
- dublinben 9y ago
  You can also use Landsat imagery to contribute to OpenStreetMap right from within the JOSM editor. [0] It is just one of many built-in imagery providers with varying levels of detail. [0] http://wiki.openstreetmap.org/wiki/Landsat http://wiki.openstreetmap.org/wiki/Landsat
- Veratyr 9y ago
  A little off topic but are you aware of anywhere that provides high resolution night-time imagery? So far I've only been able to find a little from Himawari-8.
  - daleroberts 9y ago
    VIIRS DNB Nightly Mosaics can be found here: https://ngdc.noaa.gov/eog/download.html https://ngdc.noaa.gov/eog/download.html The Visible Infrared Imaging Radiometer Suite Day-Night Band (VIIRS DNB) images the entire Earth nightly at a resolution of about 750 meters. Suomi NPP orbits the Earth 14 times per day on a 16-day repeat cycle. The average time at which images are taken is near 01:30 in local solar time, but can vary by over an hour depending on latitude and the particular cycle.
    - Veratyr 9y ago
      Thanks! That's the kind of imagery I'm looking for but not the resolution. I should have made it clearer but what I'm looking for is images with resolution like in this article: http://www.bbc.co.uk/news/resources/idt-sh/syria_from_space_english http://www.bbc.co.uk/news/resources/idt-sh/syria_from_space_... They claim to have got these from NASA but the resolution looks a hell of a lot finer than 750m, it looks more like 1m-5m; you can see individual streets in the Raqqa timelapse. They link to http://www.bbc.co.uk/news/resources/idt-sh/syria_from_space_english http://www.bbc.co.uk/news/resources/idt-sh/syria_from_space_... but it just mentions VIIRS again.
llccbb 9y ago
Quick plug for a site that shares beautiful Landsat desktop wallpapers. https://landsat365.org https://landsat365.org
deepnotderp 9y ago
They should apply deep learning to this :)
- daleroberts 9y ago
  If we used deep learning then we probably wouldn't have got into the journal 'Remote Sensing of Environment' To get into top journals it is really about simple method + novel idea + good story. The same holds for top Finance journals like 'Journal of Finance', etc.
  - b_emery 9y ago
    Based on my readings, 'incomprehensible method + novel idea + good story' seems to work pretty well too.
- b_emery 9y ago
  Looks like someone has: Deep Learning-Based Classification of Hyperspectral Data http://ieeexplore.ieee.org/abstract/document/6844831/ http://ieeexplore.ieee.org/abstract/document/6844831/
  - daleroberts 9y ago
    This is exactly what I was hinting at: IEEE journals (TGRS, etc.) are filled with deep learning and machine learning on satellite imagery papers. They are more tech focused journals and have less impact.

75 points by daleroberts 9y ago

provl 9y ago

hepl me

provl 9y ago

Help me to do hacker

flyaway 9y ago

If you're looking to get into Landsat imagery yourself, I highly recommend the command line tool landsat-util[1] (although you do need to install it using Python 2). It allows you to search with lat/lon pairs, cloud cover, etc, and comes with tools to automatically do the band combining for you so you can have easy real-color images. I find the the browser-friendly tools like LandsatLook[2] or Earth Explorer[3] to be more difficult to use, but if you're interested USGS has posted some great tutorials for them on YouTube[4]. There are also some interesting ideas about how to use the data itself beyond just creating pretty pictures. --- [1]: https://github.com/developmentseed/landsat-util https://github.com/developmentseed/landsat-util [2]: https://landsatlook.usgs.gov/ https://landsatlook.usgs.gov/ [3]: https://earthexplorer.usgs.gov/ https://earthexplorer.usgs.gov/ [4]: https://www.youtube.com/user/usgs/search?query=landsat https://www.youtube.com/user/usgs/search?query=landsat

daleroberts 9y ago
Even cooler is when you take landsat-util and visualise results directly in your terminal, see here: https://github.com/daleroberts/tv https://github.com/daleroberts/tv
- flyaway 9y ago
  That's fantastic! A perfect combination of tech and use case.
  - daleroberts 9y ago
    Only a cheap trick, but a useful one :-)
llccbb 9y ago
RemotePixel.ca[0] has my favorite interface for discovering Landsat 8 images. [0] https://remotepixel.ca/projects/satellitesearch.html https://remotepixel.ca/projects/satellitesearch.html
JorgeGT 9y ago
Also, both Landsat and Sentinel (which is still free but has higher resolution, 10m/px, without needing pansharpening) data is available on AWS: L8: https://aws.amazon.com/es/public-datasets/landsat/ https://aws.amazon.com/es/public-datasets/landsat/ S2: http://sentinel-pds.s3-website.eu-central-1.amazonaws.com/ http://sentinel-pds.s3-website.eu-central-1.amazonaws.com/
- llccbb 9y ago
  https://landsatonaws.com https://landsatonaws.com has a nice interface I think. API is https://landsatonaws.com/{path}/{row}/{scene} https://landsatonaws.com/{path}/{row}/{scene}
dublinben 9y ago
You can also use Landsat imagery to contribute to OpenStreetMap right from within the JOSM editor. [0] It is just one of many built-in imagery providers with varying levels of detail. [0] http://wiki.openstreetmap.org/wiki/Landsat http://wiki.openstreetmap.org/wiki/Landsat
Veratyr 9y ago
A little off topic but are you aware of anywhere that provides high resolution night-time imagery? So far I've only been able to find a little from Himawari-8.
- daleroberts 9y ago
  VIIRS DNB Nightly Mosaics can be found here: https://ngdc.noaa.gov/eog/download.html https://ngdc.noaa.gov/eog/download.html The Visible Infrared Imaging Radiometer Suite Day-Night Band (VIIRS DNB) images the entire Earth nightly at a resolution of about 750 meters. Suomi NPP orbits the Earth 14 times per day on a 16-day repeat cycle. The average time at which images are taken is near 01:30 in local solar time, but can vary by over an hour depending on latitude and the particular cycle.
  - Veratyr 9y ago
    Thanks! That's the kind of imagery I'm looking for but not the resolution. I should have made it clearer but what I'm looking for is images with resolution like in this article: http://www.bbc.co.uk/news/resources/idt-sh/syria_from_space_english http://www.bbc.co.uk/news/resources/idt-sh/syria_from_space_... They claim to have got these from NASA but the resolution looks a hell of a lot finer than 750m, it looks more like 1m-5m; you can see individual streets in the Raqqa timelapse. They link to http://www.bbc.co.uk/news/resources/idt-sh/syria_from_space_english http://www.bbc.co.uk/news/resources/idt-sh/syria_from_space_... but it just mentions VIIRS again.

llccbb 9y ago

Quick plug for a site that shares beautiful Landsat desktop wallpapers. https://landsat365.org https://landsat365.org

deepnotderp 9y ago

They should apply deep learning to this :)

daleroberts 9y ago
If we used deep learning then we probably wouldn't have got into the journal 'Remote Sensing of Environment' To get into top journals it is really about simple method + novel idea + good story. The same holds for top Finance journals like 'Journal of Finance', etc.
- b_emery 9y ago
  Based on my readings, 'incomprehensible method + novel idea + good story' seems to work pretty well too.
b_emery 9y ago
Looks like someone has: Deep Learning-Based Classification of Hyperspectral Data http://ieeexplore.ieee.org/abstract/document/6844831/ http://ieeexplore.ieee.org/abstract/document/6844831/
- daleroberts 9y ago
  This is exactly what I was hinting at: IEEE journals (TGRS, etc.) are filled with deep learning and machine learning on satellite imagery papers. They are more tech focused journals and have less impact.