Google Earth Engine: A Global Analysis and Future Trends

• Published in: Remote sensing (Basel, Switzerland) Vol. 15; no. 14; p. 3675
• Main Authors: Velastegui-Montoya, Andrés, Montalván-Burbano, Néstor, Carrión-Mero, Paúl, Rivera-Torres, Hugo, Sadeck, Luís, Adami, Marcos
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.07.2023
• Subjects: Academic disciplines; Algorithms; Analysis; bibliometric analysis; Bibliometrics; Big Data; Citation indexes; Cloud computing; co-citation analysis; Cocitation; Cognitive ability; Computer science; Computers; Data analysis; Data collection; Datasets; Earth; earth engine; Forest & brush fires; Geographic information systems; geoprocessing; Geospatial data; Keywords; knowledge mapping; Land cover; Land use; Literature reviews; Machine learning; Remote sensing; Remote sensors; Research methodology; Satellites; Scientometrics; Software; Spatial data; Trends; Brazil; Canada; United Kingdom; Netherlands; China; India

The continuous increase in the volume of geospatial data has led to the creation of storage tools and the cloud to process data. Google Earth Engine (GEE) is a cloud-based platform that facilitates geoprocessing, making it a tool of great interest to the academic and research world. This article pro...