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Table 2 Summary of predictor variables used for machine learning modeling

From: Machine learning modeling of plant phenology based on coupling satellite and gridded meteorological dataset

No. Product and its description Predictor’s Data Data
   type source resolution
1 Altitude as derived from digital elevation model (DEM) Spatial SRTM-3 ca. 1 km
2–3 Geographical coordinates (in the projected coordinate system) Spatial  
4 Distance to the Baltic Sea coast Spatial  
5–16 Monthly mean air temperatures (Jan–Dec) Meteo E-OBS ca. 27 km
17 Monthly mean air temperatures of previous’ year December Meteo E-OBS ca. 27 km
18–21 Seasonal mean air temperatures of previous’ year Meteo E-OBS ca. 27 km
22–23 Mean air temperatures of winter and spring seasons Meteo E-OBS ca. 27 km
24–35 Total monthly precipitations (Jan–Dec) Meteo E-OBS ca. 27 km
36 Total monthly precipitations of previous’ year December Meteo E-OBS ca. 27 km
37–45 Cumulative growing degree days (GDD) Meteo E-OBS ca. 27 km
  from 0 to 8 C with an interval of 1 C    
46 Cumulative growing precipitation days (GPD) Meteo E-OBS ca. 27 km
47 Presence of snow cover (0–1) MODIS IMS 4 km
48–49 Consecutive number of days with and without snow cover MODIS IMS 4 km
50 Number of days with snow cover in a month MODIS IMS 4 km
51 Day of year with the last snow cover MODIS IMS 4 km
  NDVI, EVI, LAI, and fPAR means aggregated in AtPol 10 × 10-km grid: MODIS MYD13Q1 / 0.25–1 km
    MOD13Q1  
52–55 - For all available values MODIS – || – 0.25–1 km
56–59 - Based only on the highest pixel reliability (i.e., flagged as “0”) MODIS – || – 0.25–1 km
60–63 - Based only on the highest and average pixel reliability (“0–1”) MODIS – || – 0.25–1 km
64–67 - Based on all available except the lowest pixel reliability (“0–2”) MODIS – || – 0.25–1 km
68–79 - 1-week rolling mean group by pixel reliability (“0,” “0–1,” “0–2”) MODIS – || – 0.25–1 km
  - The rate of change grouped by pixel reliability (“0,” “0–1,” “0–2”) between:    
80–91 – Monthly and 10-day average MODIS – || – 0.25–1 km
92–103 – 10-day average and one-week rolling mean MODIS – || – 0.25–1 km
104–115 - Normalized for particular pixel’s location and MODIS – || – 0.25–1 km
  grouped by pixel reliability (“0,” “0–1,” “0–2”)