readme reorder

README.md

@@ -27,6 +27,16 @@ Ball, J.G.C., Hickman, S.H.M., Jackson, T.D., Koay, X.J., Hirst, J., Jay, W., Ar
 Accurate delineation of individual tree crowns in tropical forests from aerial RGB imagery using Mask R-CNN.
 *Remote Sens Ecol Conserv*. [https://doi.org/10.1002/rse2.332](https://doi.org/10.1002/rse2.332)
 
+### Independent validation
+
+> *Detectree2 (F1 score: 0.57) outperformed DeepForest (F1 score: 0.52)*
+>
+> *Detectree2 could estimate tree crown areas accurately, highlighting its potential and robustness for tree detection and delineation*
+
+Gan, Yi, Quan Wang, and Atsuhiro Iio. (2023).
+Tree Crown Detection and Delineation in a Temperate Deciduous Forest from UAV RGB Imagery Using Deep Learning Approaches: Effects of Spatial Resolution and Species Characteristics. 
+*Remote Sensing*. 15(3):778. [https://doi.org/10.3390/rs15030778](https://doi.org/10.3390/rs15030778)
+
 ## Requirements
 
 - Python 3.8+
@@ -78,17 +88,6 @@ Here is an example image of the predictions made by Detectree2.
 <img width="700" align="center" alt="predictions" src= ./report/figures/prediction_paracou.png >
 </p>
 
-## Independent validation
-
-> *Detectree2 (F1 score: 0.57) outperformed DeepForest (F1 score: 0.52)*
->
-> *Detectree2 could estimate tree crown areas accurately, highlighting its potential and robustness for tree detection and delineation*
-
-Gan, Yi, Quan Wang, and Atsuhiro Iio. (2023).
-Tree Crown Detection and Delineation in a Temperate Deciduous Forest from UAV RGB Imagery Using Deep Learning Approaches: Effects of Spatial Resolution and Species Characteristics. 
-*Remote Sensing*. 15(3):778. [https://doi.org/10.3390/rs15030778](https://doi.org/10.3390/rs15030778)
-
-
 ## Applications
 
 ### Tracking tropical tree growth and mortality