Keyword Analysis & Research: google earth engine deep learning


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Frequently Asked Questions

Does Earth Engine support machine learning (ML)?

Machine Learning (ML) in Earth Engine is supported with: EE API methods in the ee.Classifier, ee.Clusterer, or ee.Reducer packages for training and inference within Earth Engine. Export and import functions for TFRecord files to facilitate TensorFlow model development.

How do I collect training data interactively in Earth Engine?

To collect training data interactively in Earth Engine, you can use the geometry drawing tools (see the geometry tools section of the Code Editor page ). Alternatively, you can import predefined training data from an Earth Engine table asset (see the Importing Table Data page for details).

What are the Earth Engine tutorials?

These tutorials are an introduction to using the Earth Engine JavaScript API for advanced geospatial analysis. The tutorials assume no programming background, although they do assume a willingness to learn some JavaScript programming.

What is Google Earth Engine and how does it work?

Google Earth Engine combines a multi-petabyte catalog of satellite imagery and geospatial datasets with planetary-scale analysis capabilities and makes it available for scientists, researchers, and developers to detect changes, map trends, and quantify differences on the Earth's surface.

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