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Go to the Google Earth Engine website and sign up using your Gmail account. You can use your private data for deep parallel computing within the Google Earth Engine platform. Users upload them to their private accounts.Įvery account comes with 250 gigabytes of storage for private or commercial data that only belongs to you. These may be locked-up products - data sets that are not available within the public data catalog. Land use, land cover, weather, and climate data.Īlso, vector data polygons and census data for the US. Pixel data and vector data - a geospatial data set. It’s a massive timesaver for research and teaching. 1 petabyte is 1000 terabytes, so you get 35,000 terabytes of data you can access using a browser. The catalog currently has over 35 petabytes of data. It’s going to save you tons of time not having to download a data set and do pre-processing - most of the data sets in the data catalog are analysis-ready. With some filters and algorithms, you can do some cool analysis without worrying about data storage and computing power. Using Google Earth Engine, things become simple. Previously, for extracting features from the imagery using traditional remote sensing, you needed to do a lot of work. You don’t need to go online to download the data - you just need a browser, and you can access the entire Google Earth Engine data catalog and a bunch of tools to do the analysis and visualization. Google Earth Engine is essentially streaming data.
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You do geoprocessing on it, but you still need professional software, like ArcGIS or ENVI, to load the data set to geoprocess it and get the results. You go online to various agencies and download the remote sensing data set. Traditional remote sensing is like your old DVD experience. All you need is a browser and an internet connection - you can stream movies online without having to worry about a DVD or loading it into a player.
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Once you got your DVD home, you needed a DVD-ROM or Blu-ray to read it and watch the video.įast forward to today, you can watch a movie using streaming services, like Netflix. In the past, before Netflix and Amazon Prime, if you wanted to watch a movie, you either went to the movie theater or bought a DVD from the store. It is free to use for research, education, and nonprofit. Google Earth Engine is a cloud computing platform for scientific analysis and visualization of geospatial data sets. He’s been using Google Earth Engine since 2017 for his research and teaching.Īnd for the last year, he’s been developing a Python package called geemap, which is widely used by the Google Earth Engine community. His research focuses on GIS, remote sensing and cloud computing. Qiusheng Wuis an assistant professor in the Department of Geography at the University of Tennessee.