A Threshold Method for Robust and Fast Estimation of Land-Surface Phenology Using Google Earth Engine

• Published in: IEEE journal of selected topics in applied earth observations and remote sensing Vol. 14; pp. 601 - 606
• Main Authors: Descals, Adria, Verger, Aleixandre, Yin, Gaofei, Penuelas, Josep
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 2021; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Cameras; Cloud computing; Clouds; Computer applications; Digital cameras; Earth surface; Estimation; global monitoring; Google Earth Engine (GEE); Growing season; Indexes; land surface phenology (LSP); Measurement; MODIS; Phenology; Remote sensing; Smoothing methods; threshold method; Time series analysis; Vegetation mapping; Work platforms

Cloud-based platforms are changing the way of analyzing remotely sensed data by providing high computational power and rapid access to massive volumes of data. Several types of studies use cloud-based platforms for global-scale analyses, but the number of land-surface phenology (LSP) studies that us...