GEE - Google Earth Engine: Planetary-scale geospatial analysis for everyone. Google Earth Engine is a cloud-based platform for planetary-scale geospatial analysis that brings Google’s massive computational capabilities to bear on a variety of high-impact societal issues including deforestation, drought, disaster, disease, food security, water management, climate monitoring and environmental protection. It is unique in the field as an integrated platform designed to empower not only traditional remote sensing scientists, but also a much wider audience that lacks the technical capacity needed to utilize traditional supercomputers or large-scale commodity cloud computing resources.
Keywords for this software
References in zbMATH (referenced in 8 articles )
Showing results 1 to 8 of 8.
- Johannes N. Hansen: nd - A Framework for the Analysis of n-dimensional Earth Observation Data (2022) not zbMATH
- Alessandro Sebastianelli, Maria Pia Del Rosso, Silvia Liberata Ullo: Automatic dataset builder for Machine Learning applications to satellite imagery (2021) not zbMATH
- Ashirwad Barnwal, Jennifer Merickel, Matthew Rizzo, Luis Riera-Garcia, Soumik Sarkar, Anuj Sharma: ndsintxn: An R Package for Extracting Information from Naturalistic Driving Data to Support Driver Behavior Analyses at Intersections (2021) arXiv
- David Montero: eemont: A Python package that extends Google Earth Engine (2021) not zbMATH
- Gabiccini, M.; Bartali, L.; Guiggiani, M.: Analysis of driving styles of a GP2 car via minimum lap-time direct trajectory optimization (2021)
- Qiusheng Wu: Leafmap: A Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment (2021) not zbMATH
- Qiusheng Wu: geemap: A Python package for interactive mapping with Google Earth Engine (2020) not zbMATH
- Erwan Bocher, Gwendall Petit, Jérémy Bernard, Sylvain Palominos: A geoprocessing framework to compute urban indicators: The MApUCE tools chain (2018) not zbMATH