A review of vegetation phenological metrics extraction using time-series, multispectral satellite data

• Published in: Remote sensing of environment Vol. 237; p. 111511
• Main Authors: Zeng, Linglin, Wardlow, Brian D., Xiang, Daxiang, Hu, Shun, Li, Deren
• Format: Journal Article
• Language: English
• Published: New York Elsevier Inc 01.02.2020; Elsevier BV
• Subjects: Climate and land use; Climate and vegetation; corn; Cubesat; Data integration; Data processing; Data smoothing; Detection; Growing season; Imagery; information processing; Land cover; Land surface phenology; Land use; monitoring; Multiscale analysis; Multisensor fusion; Phenological metrics extraction; Phenology; Remote sensing; Satellite data; Satellite observation; Satellites; spatial data; Spatial discrimination; Spatial resolution; Specie-specific phenology; Terrestrial ecosystems; Time series; time series analysis; uncertainty; Vegetation; Vegetation changes; Phenological metrics extraction; Land surface phenology; Data smoothing; Specie-specific phenology; Remote sensing

Vegetation dynamics and phenology play an important role in inter-annual vegetation changes in terrestrial ecosystems and are key indicators of climate-vegetation interactions, land use/land cover changes and variation in year-to-year vegetation productivity. Satellite remote sensing data have been...