How to classify land cover in Google Earth?

How to classify land cover in Google Earth?

This tutorial was developed as a quick guide for users who are interested in implementing land cover classification routine in Google Earth Engine environment, using ground-truth data and available Sentinel-2 TOA spectral bands.

How to do supervised classification in Google Earth?

Creation of variables such as: Slope, DEM, NDVI magnitude, NDVI average, etc. Unsupervised classification with all the variables. I would like to do a supervised classification using the unsupervised classification as an image classified and MODIS LandCover image as a sample regions.

How are Landsat observations used in Google Earth?

Images courtesy of: Google Earth, USDA Forest Service, Landsat, and Copernicus. The result of this application is a time series of Landsat observations for a pixel. An ee.Geometry.Point object is used to define the pixel’s location. In your application, you might select a different pixel.

What are the classifiers in Google Earth Engine?

These classifiers include CART, RandomForest, NaiveBayes and SVM. The general workflow for classification is: Collect training data. Assemble features which have a property that stores the known class label and properties storing numeric values for the predictors.

How is classification done in Google Earth Engine?

The general workflow for classification is: Collect training data. Assemble features which have a property that stores the known class label and properties storing numeric values for the predictors. Instantiate a classifier. Set its parameters if necessary. Train the classifier using the training data. Classify an image or feature collection.

How do I export data from Google Earth?

To view your data in Google Earth, click the Open in Google Earth link on the earth.html page. To download a KML file that contains a link to your data, click the more_vert in Google Earth and select ‘Export as KML file’. Note: The KML file generated in this manner is not compatible with desktop versions of Google Earth.

How to export featurecollection in Google Earth Engine?

You can export a FeatureCollection as CSV, SHP (shapefile), GeoJSON, KML, KMZ or TFRecord using Export.table. The FeatureCollection may represent vectors or simply a table of data. In the latter case, the features in the collection will have null geometry.