Google Earth Engine 9: Explaining All Classifiers
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- Опубликовано: 26 авг 2024
- We already saw how to approach classifications in the previous video, but there are many algorithms to choose from when classifying your image. Each of these classifiers approach classification in another way so when you need to select the best one, you want understand how they work in order to choose the algorithm that is suited for your data. In this video I show you the concepts behind all the algorithms you can choose from in the Google Earth Engine.
If you found this video useful, consider buying me a coffee at: www.buymeacoff... ☕
Previous video: • Google Earth Engine 8:... (Classification Introduction)
Next video: • Google Earth Engine 10... (Clustering and Explaining All Clusterers)
GEE docs: developers.goo...
Because the video is already long enough, more in-depth resources can be found here:
CART: • (ML 2.1) Classificatio...
MaxEnt: • Maximum Entropy Tutori...
Naive Bayes: • Naive Bayes classifier...
Random Forest: • StatQuest: Random Fore...
SVM: • Support Vector Machine...
This is a mini ML model tutorial. 👏
I know right! ML before it was cool 😎
I'm amazed of the excellent work you have done here. Thank you so much for the effort trying to explain such complicated algorithms.
My Thesis Is based On GEE and your Videos have been Super helpful for me , Thank you very much and hope to see More Videos from you .
Thank you very much for this series. it's very useful. I appreciate your hard work.
amazing and good work. Thanks Sam!
Great series for GEE!
Thanks!
Your series is amazing, I've learnt a lot from your series.
I hope to see more videos from you.
thankyou!
helpful introduction for the foundamental information of GEE
THanks and regards from India
Thank you so much for these videos, they help me a lot with my dissertation experiments! However,the video doesn't have English subtitles so it messes up when I translate it into my native language.Could you please upload the English subtitles for this video? Thank you .
Could you please share vidio for classification based on random forest tree method
Could you please do a video about how to deal with VIIRS Daily Mosaic data via google earth engine? Thanks!
VIIRS datasets seem to be available in the GEE catalog. You should be able to follow all other video's and just apply them on the VIIRS datasets.
Program Sam The daily composites are not available in GEE. You can find the data from here: ngdc.noaa.gov/eog/viirs/download_ut_mos.html
Can you make a video about processing this data in GEE?