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You will expand upon what you've learned to date about using Earth Engine and be able to run analyses and workflows at enterprise and planetary scale. The US Forest Service (USFS), RedCastle Resources (RCR), and Google have developed the Landscape Change Monitoring System (LCMS) to consistently monitor changes in vegetation cover, land cover, and land use across the United States from 1984 to present. LCMS utilizes Google Earth Engine (EE) through an enterprise agreement between the USFS and Google, for all remote sensing raster data acquisition and processing. EE is a parallel computing environment that provides access to many publicly available earth observation datasets, along with common data processing methods, and computing infrastructure to process these data. You will be able to leverage and adapt the LCMS workflow in EE and apply it to your customers' monitoring needs.
Learn how public sector agencies and academic researchers leverage Google Earth Engine to distill meaningful insights from petabytes of Earth Observation at planetary scale. Google Earth Engine is a fully managed geospatial platform that has enabled research for more than a decade in environmental areas such as forestry, agriculture, water, and sustainability.
In „Google Cloud-Grundlagen: Kerninfrastruktur“ werden wichtige Konzepte und die Terminologie für die Arbeit mit Google Cloud vorgestellt. In Videos und praxisorientierten Labs werden viele Computing- und Speicherdienste von Google Cloud sowie wichtige Tools für die Ressourcen- und Richtlinienverwaltung präsentiert und miteinander verglichen.