AGGREGATING CLOUD-FREE SENTINEL-2 IMAGES WITH GOOGLE EARTH ENGINE
نویسندگان
چکیده
منابع مشابه
Mapping land cover change over continental Africa using Landsat and Google Earth Engine cloud computing
Quantifying and monitoring the spatial and temporal dynamics of the global land cover is critical for better understanding many of the Earth's land surface processes. However, the lack of regularly updated, continental-scale, and high spatial resolution (30 m) land cover data limit our ability to better understand the spatial extent and the temporal dynamics of land surface changes. Despite the...
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Cloud Computing as a computing paradigm recently emerged to a topic of high research interest. It has become attractive alternative to traditional computing environments, especially for smaller research groups that can not afford expensive infrastructure. Most of the research regarding scientific computing in the cloud however focused on IaaS cloud providers. Google App Engine is a PaaS cloud f...
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Using map visualisation tools and earth browsers to display images in a spatial context is integral to many photo-sharing sites and commercial image archives, yet little academic research has been conducted into the utility and functionality of such systems. In developing a prototype system to explore the use of Google Earth in the visualisation of news photos, we have elicited key design issue...
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The purpose of this study is to investigate landuse changes in Gorganrood basin in 2001, 2010 and 2019. Using Landsat and Product-Modes satellite images, used maps were prepared using the classification method of random forest algorithm in Google Earth Engine. Satellite imagery was classified into eight classes including forest, cropland, shrubland, grassland, wetland, urban, barren, and water....
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ژورنال
عنوان ژورنال: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
سال: 2019
ISSN: 2194-9050
DOI: 10.5194/isprs-annals-iv-2-w7-145-2019