TimeSpec4LULC: A Smart-Global Dataset of Multi-Spectral Time Series of MODIS Terra-Aqua from 2000 to 2021 for Training Machine Learning models to perform LULC Mapping

TimeSpec4LULC is a smart open-source global dataset of multi-spectral time series for 29 Land Use and Land Cover (LULC) classes ready to train machine learning models. It was built based on the seven spectral bands of the MODIS sensors at 500 m resolution from 2000 to 2021 (262 observations in each...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Khaldi, Rohaifa, Alcaraz-Segura, Domingo, Guirado, Emilio, Benhammou, Yassir, Tabik, Siham
Format:	Dataset
Sprache:	eng
Schlagworte:	Deep learning Global dataset Google Earth Engine Land cover Land use Land use and land cover change Land use and land cover mapping Modelling MODIS Multispectral Remote sensing Time series
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