Search results
12 oct. 2020 · Google Earth Engine (GEE) is a versatile cloud platform in which pixel-based (PB) and object-oriented (OO) Land Use–Land Cover (LULC) classification approaches can be implemented, thanks to the availability of the many state-of-art functions comprising various Machine Learning (ML) algorithms.
- Order Article Reprints
Order Article Reprints. Journal: Remote Sens., 2020 Volume:...
- Versions Notes
Action Date Notes Link; article xml file uploaded: 17...
- Order Article Reprints
17 nov. 2020 · Google Earth Engine (GEE) is a versatile cloud platform in which pixel-based (PB) and object-oriented (OO) Land Use-Land Cover (LULC) classification approaches can be implemented, thanks to...
Visualizing land-cover information is critical in mitigating Côte d’Ivoire’s deforestation and land use planning using the Google Earth Engine (GEE) software.
This study aimed to provide the land use/land cover (LULC) classification within the study area in the year of 2021 using Sentinel-2 images and processed on a free, open-access Google Earth Engine (GEE) environment.
Introduction to Google Earth Engine. This video gives a broad overview of Google Earth Engine with selected case studies and application. The video also covers the Earth Engine architecture and how it is different than traditional remote sensing software. Watch the Video; View the Presentation ↗
Learn how to apply both unsupervised and supervised classification methods, handle masking issues, and misclassifications.
The Classifier package handles supervised classification by traditional ML algorithms running in Earth Engine. These classifiers include CART, RandomForest, NaiveBayes and SVM. The general...
