Rasterio for absolutely beginner | Geospatial data analysis with python | GeoDev

[@theforester_]

awesome video mate, big shout out from brazil

[@geodev]

Glad you enjoyed!

[@ogsaladbar]

you are an angel for this video. thank you so much!!!

[@therandomperson20]

Thank you so much for this video! It was a big help.

[@geodev]

Glad it was helpful!

[@DougieSpencer]

How do you link the raster meta data to the raster so that you can use ".meta" to call the meta data values?

[@mandata143]

Good day Sir. Would like to ask where i can download geojson or dataset for Philippines? I am GIS enthusiat and i want to dive deeper and learn more about GIS or Geospatial.

[@geodev]

Hi, you can download the boundary, road network, water bodies etc dataset freely all around the globe from diva gis: www.diva-gis.org/

[@eliannethcabrera8315]

Hi... where do you download the dataset?

[@christianalvarez9930]

Thank you for this, but I have a question, maybe a little dumb. I would like to do some calculations, like if "data" was a numpy array: data = ds.read data[0,1]=15 just simple stuff and then be able to get an output.tif with that new data calculated. Is that too complicated?

[@geodev]

Yes data is the numpy array. The above code works fine.

[@awanishadhikari9035]

Great video

[@geodev]

Glad you enjoyed it

[@455646464]

Thanks for this video. Can you please tell me how to add colorbar in this map using only rasterio.show.plot?

[@geodev]

you can pass the parameter as "cmap". The available color ramps for this parameter are here: matplotlib.org/stable/tutorials/colors/colormaps.html

[@gunngunn6763]

great video thank you... I request you to make video on how to put data points on the maps...for eg Carbon estimation of different locations and then how to analyse using ML techniques...

[@geodev]

Noted! Thank you for the suggestion!

[@GabrielAlves-jk7wc]

Really helpful, thanks a lot.

[@geodev]

You're welcome!

[@desiresimperegui2058]

Thank you for this. Can we please have the link of this document D5.3.1_PUGS_ICDR_LC_v2.1.x_PRODUCTS_v1.0_REVIEW.pdf

[@geodev]

Sorry which document are you talking about? Can you try it with google?

[@desiresimperegui2058]

It gives the meaning of each pixel intensity meaning in term of earth occupation. I saw the name of the document on your screen when you was trying to look something on. Unfortunately, i tried with google, but no response for the same document. Maybe, i should look for another one witch refers to the same informations. Thanks.

[@technoplus6895]

superb

[@geodev]

Thank you! Cheers!

[@AayushiSaini-l3g]

loved it

[@DrAbhijitSPatil]

The knowledge enhancing video! could you please make a video with one of the IDEs? (Spyder, Jupiter, Pycharm, etc.)

[@geodev]

I think I have few videos on jupyter notebook. I haven't worked with other IDEs (Spyder, Pycharm). But yes, it is great to work on these IDEs too.

[@gauspak1406]

Nice video

[@geodev]

Thanks!

[@sgtrecker8061]

Something BIG is missing : what's the structure of the data you are dealing with ? What are those numbers ? RBG Numbers ? position ? i don't understand...

[@geodev]

This is the land cover data. The legend of those number is available here: github.com/iamtekson/geospatial-data-analysis-python/blob/master/image/LULC%20class.png

[@sgtrecker8061]

@@geodev ok thanks ! that was a great video

[@gisknowledge4849]

First

[@geodev]

:-)