🚀🎉Exciting update on the "Deep Learning Application for Earth Observation" course 🚀🎉, Addition of end-to-end #deeplearning and #googleearthengine (GEE) integration 🌍🛰️!
Lots of my people requested me to create a section about end-to-end deep learning with the Google Earth Engine 🌎 dataset. In this brand-new section, I have added the following things:
GeoDev
🚀🎉Exciting update on the "Deep Learning Application for Earth Observation" course 🚀🎉, Addition of end-to-end #deeplearning and #googleearthengine (GEE) integration 🌍🛰️!
Lots of my people requested me to create a section about end-to-end deep learning with the Google Earth Engine 🌎 dataset. In this brand-new section, I have added the following things:
✅ Download any imagery (#sentinel2 #landsat7-8-9) from GEE platform
✅ Manually digitize the required feature (water, glacier, car, building, etc) or use the preexisting #shapefile to create the #mask file
✅ Create imagery & mask #tiles using fully #opensource #geotile #python package
✅ Train #unet model and solve the model overfitting issue and increase overall performance
✅ Merge the predicted tiles to create a large single #georeferenced #tiff file
If the above-mentioned things are interesting to you, follow the below link to get a 77% mega discount on this course. 🌐🛰️
Course discount link: www.udemy.com/course/deep-learning-application-for…
#opensource #geospatial #gis #earthobservation #earthscience #geodev
1 year ago | [YT] | 11