Continuous Monitoring of Urban Land Cover Change Trajectories with Landsat Time Series and LandTrendr-Google Earth Engine Cloud Computing

Producing accurate land cover maps is time-consuming and estimating land cover changes between two generated maps is affected by error propagation. The increased availability of analysis-ready Earth Observation (EO) data and the access to big data analytics capabilities on Google Earth Engine (GEE)...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Theodomir Mugiraneza, Andrea Nascetti, Yifang Ban
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	MDPI AG 2020-09-01
Schriftenreihe:	Remote Sensing
Schlagworte:	Landsat time series LandTrendr trajectory segmentation urban land cover change dynamics Google Earth Engine cloud computing
Online-Zugang:	https://www.mdpi.com/2072-4292/12/18/2883
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