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Google Earth Engine is a cloud-based platform that enables large-scale processing of satellite imagery to detect changes, map trends, and quantify differences on the Earth’s surface.
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...
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.
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.
19 iul. 2021 · Given the unprecedented rise in satellite imagery, substantial advances in satellite image processing, and the emergence of new platforms such as Google Earth Engine (GEE), it is critical to identify and propose solutions for the challenges of large-scale LULC mapping.
The Classifier package handles supervised classification by traditional ML algorithms running in Earth Engine. These classifiers include CART, RandomForest, NaiveBayes and SVM. The general...
