## 3 Results
### GVF to NDVI Trend Changes  
Histograms of the difference between GVF- and NDVI-based phenology trends are shown in Figure 8. Trends are more negative for MGVF than \(N_{p,max}\) for all datasets (particularly VIP and STAR) (Figure 8a). GVF-based trends in start of season tend to be more positive for VIP, STAR and NDVI3g (Figure 8b) whereas for end of season they tend to be more negative (Figure 8d). These result in more negative duration of season trends for GVF _versus_ NDVI (Figure 8c) and suggest that GVF-based phenology trends in duration of season are weaker than the original NDVI-based trends. \begin{table}
\begin{tabular}{r r r r r r r r r r r r r r r r r r r} \hline  & \multicolumn{4}{c}{**MGVF**} & \multicolumn{4}{c}{**Duration of Season**} & \multicolumn{4}{c}{**Start of Season**} & \multicolumn{4}{c}{**End of Season**} \\  & \multicolumn{4}{c}{(**per decade**)} & \multicolumn{4}{c}{(**days/decade**)} & \multicolumn{4}{c}{(**days/decade**)} & \multicolumn{4}{c}{(**days/decade**)} \\ \hline
**IGBP Type** & **g** & **3g** & **ST** & **V** & **g** & **3g** & **ST** & **V** & **g** & **3g** & **ST** & **V** & **g** & **3g** & **ST** & **V** & **g** & **3g** & **ST** & **V** \\ \hline
1 & ENFor & 0.000 & \(-\)_0.002_ & 0.001 & **0.005** & **12.1** & \(-\)1.0 & 8.2 & **17.0** & 0.3 & 5.9 & 4.0 & \(-\)_5.3_ & **8.7** & \(-\)1.8 & **7.2** & **11.8** \\
2 & EBFor & \(-\)0.001 & \(-\)0.001 & **0.010** & **0.006** & \(-\)16.1 & 1.2 & 18.5 & 4.3 & \(-\)1.6 & \(-\)3.7 & 20.2 & **15.6** & \(-\)_21.5_ & \(-\)_11.7_ & **22.6** & 4.5 \\
3 & DNFor & & & & & & & & & & & & & & & & \\
4 & DBFor & **0.003** & 0.001 & **0.013** & **0.008** & **9.6** & **5.6** & **12.0** & **10.7** & \(-\)2.4 & \(-\)2.0 & \(-\)2.8 & \(-\)_4.4_ & **6.6** & **4.4** & **8.8** & **6.2** \\
5 & MixFor & **0.004** & 0.001 & **0.012** & **0.011** & **15.1** & **6.6** & **17.0** & **15.6** & \(-\)1.4 & 1.6 & \(-\)0.5 & \(-\)3.2 & **13.4** & **7.3** & **13.6** & **11.2** \\
6 & CShF & \(-\)0.001 & \(-\)_0.006_ & \(-\)0.001 & **0.013** & 4.0 & \(-\)_7.9_ & 8.9 & **21.5** & **30.4** & **23.8** & 42.1 & \(-\)2.4 & **31.1** & 12.5 & 25.1 & 13.3 \\
7 & OpShr & **0.029** & \(-\)_0.011_ & 0.005 & 0.011 & **9.2** & \(-\)_17.6_ & 4.6 & 0.9 & **25.2** & **20.0** & 35.9 & 5.4 & **32.6** & 4.0 & 46.9 & 4.7 \\
8 & WdySav & **0.004** & 0.001 & **0.012** & **0.007** & **11.3** & 4.0 & **16.0** & **11.4** & \(-\)3.6 & \(-\)0.3 & \(-\)1.1 & \(-\)_4.2_ & **10.9** & 5.2 & **15.5** & **9.1** \\
9 & Sav & 0.005 & \(-\)0.004 & 0.003 & 0.003 & \(-\)4.0 & \(-\)0.7 & **13.7** & **9.5** & \(-\)3.2 & 0.3 & \(-\)7.6 & \(-\)_18.9_ & \(-\)_10.1_ & \(-\)1.0 & 5.6 & \(-\)7.0 \\
10 & Grass & **0.010** & \(-\)_0.009_ & 0.006 & 0.002 & 0.4 & \(-\)_8.3_ & 8.2 & 5.7 & 1.8 & **5.2** & 1.1 & \(-\)2.5 & 3.1 & \(-\)3.1 & **8.7** & 4.1 \\
11 & WetInd & 0.002 & \(-\)0.003 & 0.007 & **0.009** & **20.6** & **11.6** & **14.3** & 2.8 & \(-\)5.0 & \(-\)2.2 & \(-\)7.6 & \(-\)_4.3_ & **20.5** & **12.1** & 11.7 & 2.1 \\
12 & Crop & 0.003 & 0.001 & 0.005 & **0.009** & \(-\)2.8 & \(-\)_7.0_ & **4.7** & **4.2** & **3.7** & **5.2** & 1.4 & \(-\)1.0 & 0.5 & \(-\)_1.7_ & **5.0** & **3.0** \\
13 & Urban & 0.001 & \(-\)_0.004_ & \(-\)0.006 & \(-\)_0.014_ & **8.2** & \(-\)_6.4_ & **7.8** & 0.6 & \(-\)1.9 & **4.6** & \(-\)0.6 & \(-\)1.2 & **8.9** & \(-\)0.8 & **9.8** & **4.2** \\
14 & CrpVeg & 0.001 & **0.002** & **0.007** & **0.008** & **6.4** & 2.5 & **11.8** & **10.6** & \(-\)1.9 & 0.2 & \(-\)0.9 & \(-\)_4.2_ & **4.9** & 2.6 & **8.0** & **5.0** \\
16 & Barren & **0.013** & \(-\)_0.021_ & \(-\)0.011 & \(-\)_0.014_ & 6.8 & \(-\)_30.2_ & \(-\)10.0 & \(-\)_11.9_ & \(-\)23.2 & 10.4 & \(-\)2.1 & 6.4 & 0.3 & \(-\)_30.1_ & \(-\)_13.9_ & 14.4 \\ Total & & **0.009** & \(-\)_0.005_ & **0.006** & **0.006** & 3.9 & \(-\)_5.8_ & **8.8** & **6.9** & 3.1 & **5.4** & 3.4 & \(-\)2.5 & **7.5** & 0.7 & **10.1** & **4.8** \\ \hline \end{tabular}
\end{table}