Supervised Classification for Land Cover Mapping with Landsat 8 in Google Earth Engine

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Learn how to apply machine learning and supervised classification using Landsat 8 satellite data in Google Earth Engine cloud computing.

#earthengine #remotesensing #landsat
  1. Spatial eLearning
  2. google garth engine
  3. earth engine
  4. google earth engine python api
  5. earth engine javascript
  6. earth engine python
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Комментарии
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Thanks for your detail and clear tutorial

mo
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how do I then download and save the final landcover map?

eddiemtambisi
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this video is very help for my project . But, I couldn't figure out where the accuracy assessment result you already set in the code

workueshetie
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After importing the shapefile, how do you clip or extract the ROI in GEE as we do in ArcMap and Qgis?

mphatsomajamanga
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If i want data of district then how can i get??

shwetayadav
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Classification: layer error: property ' class of feature is missing
What it say and y?

nidharrsana
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the red one is more so urban class is high there a mistake in urban classification

rlncylr