Thank youuuuu I love you so much ❤️❤️❤️❤️❤️❤️❤️📝📖📃📄🗒️
@geodev Жыл бұрын
I am glad you like my contents❤️ keep supporting me! Cheers🥂
@utnapishtim307 Жыл бұрын
@@geodev Brazil loves youuu 🕊️
@shivabhandari6259 Жыл бұрын
i want to learn google earth engine from beginning...how can ypu help me?
@geodev Жыл бұрын
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.
@TheWawanhn10 ай бұрын
Thank you
@geodev10 ай бұрын
You're welcome
@sarojkhatri340510 ай бұрын
how can we make train dataset in large amount??
@geodev10 ай бұрын
What do you mean by dataset in large amount? I think you can repeat the same process as explained in this tutorial.
@sarojkhatri340510 ай бұрын
i mean we need almost 7-8k training dataset of building thats why we need to do mannual or any other methods??
@geodev10 ай бұрын
@@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.
@geodev10 ай бұрын
@@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.