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.
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?
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...
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.
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...
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
Thank you so much for this video! It was a big help.
Glad it was helpful!
awesome video mate, big shout out from brazil
Glad you enjoyed!
you are an angel for this video. thank you so much!!!
How do you link the raster meta data to the raster so that you can use ".meta" to call the meta data values?
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.
Hi, you can download the boundary, road network, water bodies etc dataset freely all around the globe from diva gis: www.diva-gis.org/
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?
Yes data is the numpy array. The above code works fine.
Really helpful, thanks a lot.
You're welcome!
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...
Noted! Thank you for the suggestion!
Thanks for this video. Can you please tell me how to add colorbar in this map using only rasterio.show.plot?
you can pass the parameter as "cmap". The available color ramps for this parameter are here: matplotlib.org/stable/tutorials/colors/colormaps.html
Hi... where do you download the dataset?
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
Sorry which document are you talking about? Can you try it with google?
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.
Great video
Glad you enjoyed it
superb
Thank you! Cheers!
loved it
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...
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
@@geodev ok thanks ! that was a great video
The knowledge enhancing video! could you please make a video with one of the IDEs? (Spyder, Jupiter, Pycharm, etc.)
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.
Nice video
Thanks!
First
:-)