Potential of using surface temperature data to benchmark Sentinel-2-based forest phenometrics in boreal Finland
Key message
We present a new approach to calibrate timings of phenological events from satellite data (e.g., Sentinel-2 MSI data) with readily available surface temperature data. The new approach improves the estimation of growing season length in boreal forests.
Keywords
Land surface phenology, LSP; Enhanced vegetation index, EVI; Temperature deviation integral, TDI
Publication
Majasalmi T., Rautiainen M. Potential of using surface temperature data to benchmark Sentinel-2-based forest phenometrics in boreal Finland. Annals of Forest Science 79, 6 (2022). https://doi.org/10.1186/s13595-022-01130-2
Data and/or Code availability
All data is publicly available (See reference list). The datasets generated during the current study are available from the corresponding author on reasonable request.
Handling Editor
Barry A. Gardiner
