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Google Earth Engine is a geospatial processing service. With Earth Engine, you can perform geospatial processing at scale, powered by Google Cloud Platform. The purpose of Earth...
Google Earth Engine is a cloud-based service that provides access to satellite imagery and geospatial datasets for planetary-scale analysis. Learn how to use the Earth Engine API, explore the data archive, and see case studies of scientific and humanitarian impact.
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,...
14 de fev. de 2023 · JavaScript and Python Guides. The guides are written primarily for JavaScript in the Code Editor with examples for Python in Colab where applicable. The JavaScript Quickstart guide and the...
- How to Use These Docs
- The Code Editor
- Opening and Running Code in The Code Editor
- Earth Engine Data Structures
- Earth Engine Algorithms
- 'Hello World!' Javascript
- Adding Data to The Map
- Finding Images, Image Collections and Feature Collections
- Filtering and Sorting
- Band Math
The Earth Engine documentation is designed for people familiar with geospatial data analysis. The docs are primarily structured by data type. For example, the left side navigation contains links to sections or pages about important data types such as Image, ImageCollection, Feature, FeatureCollection, Geometry, Reducer, Chart, Join and Array. This ...
The Code Editor is an interactive environment for developing Earth Engine applications (Figure 1). The center panel provides a JavaScript code editor. Above the editor are buttons to save the current script, run it, and clear the map. The Get Link button generates a unique URL for the script in the address bar. The map in the bottom panel contains ...
The steps below demonstrate how to open Earth Engine and execute a custom script that displays an image. For best results, you may want to install the latest version of Chrome, Google's web browser, available here. 1. Open the Earth Engine Code Editor here: code.earthengine.google.com. 2. Navigate to the Scriptstab located on the far left of the Co...
The two most fundamental geographic data structures in Earth Engine are Image and Feature corresponding to raster and vector data types, respectively. Images are composed of bands and a dictionary of properties. Features are composed of a Geometry and a dictionary of properties. A stack of images (e.g. an image time series) is handled by an ImageCo...
There are several ways to run operations in the API: 1. Calling methods that are attached to objects. 2. Calling algorithms. 3. Calling Code Editor specific functions. 4. Defining new functions. The Docs tab of the Code Editor lists the methods of each API class. For example, the Image class has an add()method: This method adds the bands of image2 ...
Printing out information to the console is a basic task for getting information about an object, displaying the numeric result of a computation, displaying object metadata or helping with debugging. The iconic 'Hello World!' example in the Code Editor is: Copy this line into the code editor of the Code Editor and click Run. Note that the output is ...
In addition to printing information to the console, adding data to the Map is the way to visualize geographic data. Use Map.addLayer() to do that. In the following example, an Image is instantiated (how to find these images is covered later) using ee.Image(), added to the map with Map.addLayer()and the map is centered over the image: The second par...
Images, image collections, and feature collections are discoverable by searching the Earth Engine Data Catalog. For example, entering 'Landsat 8' into the search field results in a list of raster datasets. (The complete listing of Earth Engine datasets is at the Earth Engine Data Catalog). Click on the dataset name to get a brief description, infor...
It is often necessary to filter a collection by space and/or time in order to limit the number of results. For example, consider the task of sorting the Landsat 8 scene collection in order to find a cloud-free scene for San Francisco. First, it's necessary to define the region of interest. A point is often useful for that. Activate the Inspector ta...
Perform mathematical operations on images using Imagemethods. This may include band recombinations (spectral indices), image differencing or mathematical operations such as multiplication by a constant. For example, compute the difference between Normalized Difference Vegetation Index (NDVI) images 20 years apart: Notice the use of a user defined f...
Learn how to use Google Earth Engine, a platform that allows users to run geospatial analysis on Google's infrastructure. Explore the Code Editor, the Explorer, and the client libraries for different ways to interact with the platform.
Google Earth Engine brings together the world's satellite imagery and makes it available online for analysis using Google's computational infrastructure. This group is devoted to discussion...
