Supervised classification of Landsat 8 image using Google Earth EngineEngine Tutorial is located here: github.com/geospatialeco/GEAR... Shaun R Levick www.geospatialecology.com
From GEE: On March 1, we're going to disable and start removing the "old" classifiers. If you're still using them at that time your scripts will throw an error. The classifiers that are being removed, and their replacements are: Classifier.cart -> Classifier.smileCart I changed it and it worked slightly better even. Still need to be refined with more classes.
Thanks for the video. I am working on crop classification where I have collected some ground truth data from the field in the form of polygons. I had import it as a shapefiles and would like to convert it to feature collection. I would like to know is it possible in Google Earth Engine to convert the polygons as shapefiles imported in the GEE to the feature collection?
Good morning everyone, I hope this message finds you in good health. I simulated the scrip code for an area of interest, but I'm having problems with an error in the classifier (classification: Layer error: Property 'landcover' of feature '1_1_1_0_0' is missing). When I put the value of the property of the first class (Urban) the value disappears and the classifier does not collect it returns this error. I would like to know how to adjust and overcome these difficulties.
Thank you for the video sir. Please make a tutorial using polygon train data set instead of point feature. That will be really helpful. Thank you again
@@gears-geospatialecology please show us how to draw common boundary line while labeling with polygon. I have tried in earth engine but the problem is that there is always some space between polygons or they overlaps. I know how to draw that with QGIS. But it would be a great help to figure out to do this in google earth engine.I am look forward to see the solution.
Thank you for the video. Great again. Sample Region is what I needed.
From GEE: On March 1, we're going to disable and start removing the "old" classifiers. If you're still using them at that time your scripts will throw an error.
The classifiers that are being removed, and their replacements are:
Classifier.cart -> Classifier.smileCart
I changed it and it worked slightly better even. Still need to be refined with more classes.
thanks for posting this.
Thank you sir for this very informative and simple video....thanks again sir
Thanks for the video. I am working on crop classification where I have collected some ground truth data from the field in the form of polygons. I had import it as a shapefiles and would like to convert it to feature collection. I would like to know is it possible in Google Earth Engine to convert the polygons as shapefiles imported in the GEE to the feature collection?
Good morning everyone, I hope this message finds you in good health.
I simulated the scrip code for an area of interest, but I'm having problems with an error in the classifier (classification: Layer error: Property 'landcover' of feature '1_1_1_0_0' is missing).
When I put the value of the property of the first class (Urban) the value disappears and the classifier does not collect it returns this error.
I would like to know how to adjust and overcome these difficulties.
Thank you for the video sir. Please make a tutorial using polygon train data set instead of point feature. That will be really helpful. Thank you again
Thanks. We'll be covering polygons in the lab next week, including using them for training data collection.
@@gears-geospatialecology looking forward to it.
@@gears-geospatialecology please show us how to draw common boundary line while labeling with polygon. I have tried in earth engine but the problem is that there is always some space between polygons or they overlaps. I know how to draw that with QGIS. But it would be a great help to figure out to do this in google earth engine.I am look forward to see the solution.
More video please
Is it possible to open this classified data in qgis or ArcGIS
Yes! you have to export the classified image to your google drive.