Download sentinel 2 dataset & Generate mask | DL

Code used in this video: github.com/iamtekson/deep-lea...
Timestamp:
0:00 Intro
1:28 Train_x, test_x data download
4:56 Digitize the mask area in Google Earth Pro software
10:54 Nepal water bodies shapefile
11:36 Clip shapefile to area of interest (AOI)
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[@sarojkhatri3405]

Thank you daju..

[@geodev]

You are welcome vai!

[@TheWawanhn]

Thank you

[@geodev]

You're welcome

[@utnapishtim307]

Thank youuuuu I love you so much ❤️❤️❤️❤️❤️❤️❤️📝📖📃📄🗒️

[@geodev]

I am glad you like my contents❤️ keep supporting me! Cheers🥂

[@utnapishtim307]

@@geodev Brazil loves youuu 🕊️

[@shivabhandari6259]

i want to learn google earth engine from beginning...how can ypu help me?

[@geodev]

Hi Chari, I have found the following helpful resources to learn GEE, 1. Spatial thoughts: courses.spatialthoughts.com/end-to-end-gee.html 2. KZbin Playlist: kzbin.info/aero/PLivRXhCUgrZpCR3iSByLYdd_VwFv-3mfs 3. GEE official docs: developers.google.com/earth-engine/tutorials/community/beginners-cookbook By learning from one of the above link, you will be a GEE export soon.

[@sarojkhatri3405]

how can we make train dataset in large amount??

[@geodev]

What do you mean by dataset in large amount? I think you can repeat the same process as explained in this tutorial.

[@sarojkhatri3405]

i mean we need almost 7-8k training dataset of building thats why we need to do mannual or any other methods??

[@geodev]

@@sarojkhatri3405I see. For that, you can generate the mask using a similar method. If your PC memory is not sufficient, then split your aoi into 2-3 images (based on your AOI area) and repeat the process for all.

[@geodev]

@@sarojkhatri3405 If you are talking about the manual digitization method, there might be some automation/thresholding methods (NDVI for vegetation, NDBI for building, MNDWI for water etc) but these methods are not perfect and you can't split the required feature with 100% accuracy. That's why manual digitization is the way to achieve higher accuracy.