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Google Earth Engine

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What is Unfolded?

Transform your spatial data into insightful maps within just a few minutes. Utilize our extensive catalog of layers and advanced timeline animation options to enhance your visualizations. Effortlessly manipulate your information using our intuitive geospatial analytics tools. Quickly uncover insights through smooth browsing experiences that offer immediate visual responses. Easily share your custom maps with your team by simply clicking a button. Create engaging narratives and communicate impactful data stories to audiences worldwide. Experience a straightforward interface that alleviates the challenges often associated with geospatial data science. Seamlessly integrate Shapefiles, Vector Tiles, and Cloud-Optimized GeoTIFFs, in addition to traditional formats like CSV and GeoJSON. Conduct comprehensive analyses by merging tables and aggregating rows to derive meaningful conclusions. Take advantage of cross-filtering features to connect columns with tailored metrics that meet your needs. Design sleek web applications based on your published maps, with rapid iteration supported by our comprehensive, user-friendly API. Implement geospatial joins among various data types to deepen your analysis and enrich your storytelling. The potential for exploration and generating insights is truly boundless, limited only by your imagination and creativity.

What is Google Earth Engine?

Google Earth Engine is a cloud-based platform tailored for the scientific analysis and visualization of geospatial data, providing users with access to an enormous public repository that holds over 90 petabytes of ready-to-analyze satellite imagery and more than 1,000 meticulously selected geospatial datasets. This extensive library includes over fifty years of historical imagery that is updated daily, featuring pixel resolutions as fine as one meter, and comprises data from sources like Landsat, MODIS, Sentinel, and the National Agriculture Imagery Program (NAIP). Users are equipped with tools to execute analyses on Earth observation data using its web-based JavaScript Code Editor and Python API, while also applying machine learning methods to construct advanced geospatial workflows. The platform's integration with Google Cloud enables large-scale parallel processing, which makes it possible to conduct comprehensive analyses and visualize Earth data efficiently. Additionally, the compatibility of Earth Engine with BigQuery further extends its functionality, rendering it a potent tool for professionals and researchers across diverse domains. This impressive array of features and capabilities establishes Google Earth Engine as a vital asset in the realm of geospatial information analysis, fostering innovation and discovery within the field. As users leverage this platform, they unlock new insights and enhance their understanding of the Earth's complexities.