Creation and environmental applications of 15-year daily inundation and vegetation maps for Siberia by integrating satellite and meteorological datasets

Progress in Earth and Planetary Science

Table 8 Phenological parameters estimated by double sigmoid fitting of NDVI over Spasskaya Pad

YR	D₁ (SOS)	D₂ (EOS)	D₃ (SOF)	D₄ (EOF)	D₅ (peak)	SGS (Nagai et al. 2020)	EGS (Nagai et al. 2020)
2003	151	167	244	264	201	153	281
2004	158	170	242	252	210	146	274
2005	151	157	236	267	172	129	277
2006	145	150	236	261	166	143	279
2007	134	155	243	271	194	137	278
2008	143	148	246	256	184	143	284
2009	146	151	243	264	170	137	285
2010	135	156	244	257	209	134	275
2011	136	148	242	253	197	134	270
2012	137	151	246	280	180	135	281
2013	140	157	244	258	203	130	273
2014	133	159	244	264	206	131	272
2015	149	157	247	260	192	143	276
2016	145	151	245	267	174	141	273
2017	142	160	248	266	204	143	277
Slope (anomaly/year)	− 0.75	0.00	0.33	0.37	0.25	− 0.67	− 0.36
p-value	0.16	1.00	0.01*	0.49	0.77	0.32	0.25

D₁: start of spring (SOS), D₂: end of spring (EOS), D₃: start of fall (SOF), D₄: end of fall (EOF), and D₅: peak of NDVI. Slope and p-values were calculated based on Theil-Sen’s regression (“*” represents statistical significance p < 0.05). Start of growing season (SGS) and end of growing season (EGS) determined by a degree-day model were obtained from Nagai et al. (2020) for comparison with our phenological parameters
NDVI: normalized difference vegetation index