High-Resolution Global Maps of 21st-Century Forest Cover Change original publication in Science by Hansen, et al (2013). The underlying Hansen deforestation dataset is available in Google Earth Engine and leverages over 3 million Landsat images to map global forest dynamics. This forest monitoring and conservation tool interactively shows forest gain and loss at a global scale. Released in 2013, Global Forest Watch fundamentally changed our understanding of planetary-scale forest loss.
The following three examples show the datasets, high-impact publications and web-based data explorers that have been generated from research conducted in GEE.Ĭelebrity Use Case 1: Global Forest Watch Since GEE came online, several ground-breaking studies have emerged thatĭemonstrate the power of bringing large-scale computing to bear on environmental and social problems. Enhancing inclusive access has spurred the growth of earth observation at scales previously unimaginable.
Google Earth Engine enables users to compute on petabytes of data on the fly without having the navigate the complexities of cloud-based parallelization. Water management, climate monitoring and environmental protection. Including deforestation, drought, disaster, disease, food security, Geospatial analysis that brings Google’s massive computationalĬapabilities to bear on a variety of high-impact societal issues Google Earth Engine is a cloud-based platform for planetary-scale
(2017) write in the 2017 Remote Sensing of the Environment article: We'll be rolling the feature out slowly, so please don't be disappointed if you don't hear from us right away.Understand the power of Google Earth Engineīasic understanding of the system architecture and philosophyĪs Gorelick et al. If you would like to use this feature, please send a note to describing which data products you'd like to download (Landsat NDVI, for example), and giving us an idea about how you're planning to use the data. We are currently beta-testing this feature with a small set of users. We've also been working on a number of new features, including the ability to download any imagery that is available on. It also means adding new products, like a multi-annual MODIS-based mosaic from Alessandro Baccini (Woods Hole Research Center) and Damien Sulla-Menashe (Boston University), and a greenest-pixel Landsat mosaic that helps overcome problems with clouds and hardware anomalies in the Landsat 7 satellite. This means adding new images to existing products, like the recently acquired 1.1 millionth Landsat image. It's been a while since we launched Google Earth Engine, and we thought it was about time to give you an update new Earth Engine developments.įirst, we've been busily expanding our data catalog.
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