Random Forest Classifier in Python | Water Bodies Detection from Satellite Imagery | GeoDev

[@adventhigh6888]

Very informative. Keep up your good work.

[@geodev]

Thank you! I am glad you liked it!

[@sonamdorji5118]

Thank you for the video. Sir please can you make a video on landslide susceptibility mapping using random forest

[@vimalshrivastava6586]

Thanks for making such an informative video. Could you plz make a video on preparing a mask image?

[@geodev]

Sure! That will be my next week video. Thanks for suggestion!

[@geodev]

I have made a dedicated video from your comment. Have you checked? kzbin.info/www/bejne/h4WQeqSEarCEn6c

[@charansai3457]

Bhayya , active learning for Remote sensing images ke baare me ek video chahiye

[@geodev]

I added this to my note. Please wait few weeks.

[@danishkhan1084]

Thank you very much. Please also upload neural network model tutorial.

[@geodev]

Will upload soon! Thanks for your interest!

[@sindhumm-q9g]

Sir please svm in python...

[@geodev]

Stay tuned! I will upload soon!

[@Sathish69]

Hello sir, I'm using Random forest algorithm for LULC prediction using 3 decadal LULC Raster files (1985,1995 &2005) with 4 variables (Dem, slope, Distance from road and population), i have error in not matching X_train and y_train, i checked i have all lulc with same nodata values is 0.0 and variables having different NDV and data type is different in each like 'int16', 'float32', ''uint16, , is this is a problem for running the algorithm, how can i modify this reshaping to fit lulc for prediction.

[@ajaykumar-bv7tw]

Thanks for mk it

[@geodev]

You are welcome!

[@ajaykumar-bv7tw]

❤