Assessment of Vegetation Trends in Drylands from Time Series of Earth Observation Data

作者: Rasmus Fensholt , Stephanie Horion , Torbern Tagesson , Andrea Ehammer , Kenneth Grogan

DOI: 10.1007/978-3-319-15967-6_8

关键词:

摘要: This chapter summarizes approaches to the detection of dryland vegetation change and methods for observing spatio-temporal trends from space. An overview suitable long-term Earth Observation (EO) based datasets assessment global is provided a status map contemporary greening browning drylands presented. The metrics per-pixel temporal trend analysis discussed, including seasonal parameterisation appropriate choice indicators. Recent designed overcome assumptions linearity in time series (Breaks For Additive Season Trend(BFAST)) are discussed. Finally, importance spatial scale when performing introduced method image downscaling (Spatial Temporal Adaptive Reflectance Fusion Model (STARFM))

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