## 3 Results
### Biophysical Changes and Recurrence of Fire
\begin{table}
\begin{tabular}{c c c c c c} \hline \hline \multirow{3}{*}{**Study Area**} & \multirow{3}{*}{**Land Use/Vegetation**} & \multicolumn{4}{c}{**Biophysical Variable \(\times\) Fire Recurrence**} \\ \cline{3-6}  & & **Albedo-Fire** & **EVI-Fire** & **GPP-Fire** & **LST-Fire** \\ \hline \multirow{5}{*}{ANP-CSP} & AFS & 0.321 & 0.883 & 0.618 & 0.480 \\  & FS & 0.310 & 0.796 & 0.921 & 0.559 \\  & GWS & 0.521 & 0.864 & 0.745 & 0.540 \\  & PA & - & 0.867 & - & 0.458 \\  & SF & 0.000 & 0.796 & 0.864 & 0.696 \\  & SP & 0.504 & 0.906 & 0.790 & 0.913 \\  & AOF & 0.000 & 0.814 & 0.808 & 0.644 \\  & ASET & 0.440 & 0.909 & 0.805 & 0.723 \\  & AWS & 0.001 & 0.890 & 0.920 & 0.460 \\ JPRB & OF & 0.419 & 0.507 & 0.703 & 0.727 \\  & PA & 0.073 & 0.617 & 0.915 & 0.351 \\  & SFT & 0.013 & 0.754 & 0.885 & 0.717 \\  & WS & 0.570 & 0.802 & 0.930 & 0.230 \\ \hline \hline \end{tabular}
\end{table} 
Table 4: R\({}^{2}\) values by land use/vegetation types for the relationships between MODIS biophysical variables and fire recurrence. The classes in the JPRB area were: Altered Ombrophilous Forest (AOF), Altered Savanna/Forest Transition (ASFT), Altered Woody Savanna (AWS), Ombrophilous Forest (OF), Pasture/Livestock (PA), Savanna/Forest Transition (SFT), and Woody Savanna (WS). In the ANP-CSP, the classes were: Altered Forested Savanna (AFS), Forested Savanna (FS), Grassy-woody Savanna (GWS), Pasture/Livestock (PA), Seasonal Forest (SF) and Savanna Parkland (SP). Even without fires, such as the periods 2001-2007 and 2012-2015, there was an intense disturbance of the EVI temporal pattern. Figure 11: Time series of Enhanced Vegetation Index (EVI) in the Araguia National Park and Cantão State Park, considering: (**a**) Altered Forested Savanna, with five (dotted line) and seven (gray line) years of fire; and (**b**) Grassy-woody Savanna, with six (dotted line) and seven (gray line) years of fire. Arrows indicate the exact dates of fires in these pixels, black arrow for dotted line and gray arrows for the gray line. Figure 10: Time series of Enhanced Vegetation Index (EVI) in the Ji-Paraná River Basin, considering: (**a**) pastures, with four (dotted line) and eight (gray line) years of fire; and (**b**) Altered Ombrophilous Forest, with two (dotted line) and four (gray line) years of fire. Arrows indicate the exact dates of fires in these pixels, black arrow for dotted line, and gray arrows for the gray line. Figure 12: Time series of Land Surface Temperature in the Ji-Paraná River Basin, considering: (**a**) pastures, with four (dotted line) and eight (gray line) years of fire; and (**b**) Altered Ombrophilous Forest, with two (dotted line) and four (gray line) years of fire (**b**). Arrows indicate the exact dates of fires in these pixels, black arrow for dotted line and gray arrows for the gray line. Figure 13: Time series of Land Surface Temperature in the Araguaia National Park and Cantão State Park, considering: (**a**) Altered Forested Savanna, with five (dotted line) and seven (gray line) years of fire; and (**b**) Grassy-woody Savanna, with three (dotted line) and five (gray line) years of fire. Arrows indicate the exact dates of fires in these pixels, black arrow for dotted line and gray arrows for the gray line. In the Cerrado area, fire events significantly influence the reduction of EVI in the medium term. As in the altered Ombrophilous forest's temporal patterns, there are divergences in the altered savannah (Figure 11a). Despite this, it is possible to observe a pattern in both time series: the sharp fall in the post-fire EVI; and the accumulation of biomass after each fire, represented by the increase in EVI. At the end of the time series, the EVI value no longer reaches the maximum marks in 2003, 2006, 2008, and 2009. The surface temperature in all classes in the Amazon and Cerrado was highly sensitive to fire events (Figures 12 and 13). The different scenarios of fire recurrence altered areas with similar initial temperature patterns. All classes showed a positive trend with great peaks in the years of fires.