Hands-on Satellite Imagery Analysis | SciPy 2018 Tutorial | Sara Safavi, Dana Bauer

[@70ME3E]

she's such a great speaker & delightful to listen to

[@wolfpoker]

I had no idea I loved playing with satellite imagery, thank you!

[@anantharamaniyer9135]

I loved when you said - QGIS is better than ArcGIS as its free and open source! I wish organisations embrace the open-source community.

[@DineshSingh-zv9df]

This is grt to playing with satellite imagery, thank you!

[@firasomrane1969]

Thank u, I loved the simplified explanation of concepts like raster image, geospatial images ... Though that you will talk about more advanced staff especially what we can do with rasterio. So if you are looking for advanced staff this is not the right video, but if you want to refresh your memory or learn new concepts this is a perfect video.

[@akhtarnaved]

Hey, Thanks for explaining, I have a use case where I need to find all the road sign boards crossing for the given road. Any way to extract this information.

[@nicolumi7173]

Are the notebooks available somewhere? The instruction on the SciPy 2018 site does not provide any link.

[@nicolumi7173]

Sara Safavi found it, thanks you for the reply! Great talk also!

[@manivasaganramamoorthy9994]

@@planetdevelopers8872 kindly help me. The tutorial was awesome. While executing this command: docker build --rm -t planet-notebooks . I am getting this error in Linux Bionic 18.04 LTS Terminal: PackageNotFoundError: Packages missing in current channels: - gdal 2.4.0* We have searched for the packages in the following channels: - conda.anaconda.org/conda-forge/linux-64 - conda.anaconda.org/conda-forge/noarch - repo.continuum.io/pkgs/main/linux-64 - repo.continuum.io/pkgs/main/noarch - repo.continuum.io/pkgs/free/linux-64 - repo.continuum.io/pkgs/free/noarch - repo.continuum.io/pkgs/r/linux-64 - repo.continuum.io/pkgs/r/noarch - repo.continuum.io/pkgs/pro/linux-64 - repo.continuum.io/pkgs/pro/noarch

[@clementobeng-manu656]

the data was really helpful to fully follow the tutorial

[@GeminiLearning]

This is great work!!. So much appreciated. Please include the link to the data so that learners can watch and follow on hands on.

[@enthought]

Hi Okwaro, the notebooks are available at github.com/planetlabs/notebooks. You can also download the demo data used in this workshop from dovesin.space/scipydata.

[@kumarprateek1279]

This is so cool!!

[@likhithagaddi]

Can I get the API key which is mentioned in the tutorial else give some alternative please

[@likhithagaddi]

Anyways got it Thanks :)

[@alexandrealekseev2207]

@@likhithagaddi Hello, how did you get the api key then ? Would appreciate if you tell, thanks :-)

[@netra_2201]

@@likhithagaddi Can you pls help me as well? Thanks

[@tsegazeab7580]

Thanks

[@srazavitousi]

Awesome! here is the notebook; github.com/planetlabs/notebooks/blob/master/jupyter-notebooks/data-api-tutorials/search_and_download_quickstart.ipynb

[@PhoenixTwoFiftySix]

Why is this in my ace combat fails and memes playlist (and why does it take up 40% of it)?

[@Chicagomom]

github.com/planetlabs/notebooks/tree/master/jupyter-notebooks/getting-to-know-sat-imagery here is their github page