# Monthly Analysis of Wetlands Dynamics Using Remote Sensing Data
## 4 Conclusions  
The objective of this research was to investigate the LST and NDVI values obtained from Landsat 8 satellite, and VV and VH backscatter values obtained from the Sentinel-1 satellite, over a wetland area on a monthly basis and then to investigate the correlation between these values. Several studies have investigated and discussed the relation between backscatter and NDVI values in different classes. However, the relation between backscatter values and LST values in wetland classes have not been the subject of a detailed investigation. The results of this study show the dynamics of the investigated parameters within a wetland area where six different classes have been determined.  
Comparing the LST results with a monthly average air temperature of the investigated region, the correlation is more than \(0.9\), indicating that the LST of the wetland is substantially affected by the air temperature. Following the LST values, NDVI values gave similar results with a correlation of nearly \(0.9\) in all classes.  
Although the correlation between Landsat 8 and Sentinel-1 investigated parameters are not as high as the LST and NDVI values, and the images are not from the same dates, there is a strong relation between LST and NDVI, and VH backscatter values on a monthly basis. Similar to the findings of other research, VH polarization performs better than VV polarization in all of the investigated classes. For a better understanding of the relation, the wetland vegetation stage should be closely monitored. Thus, in the leaf-off season, when the vegetation is dry, or there is no presence of vegetation, the backscatter values represent the surface.  
Although Sentinel-2 has better temporal, spatial, and spectral resolution with three additional bands red edge vegetation bands, Landsat-8 has been chosen in this paper because of its ability to collect data in the thermal wavelength region. For future studies, the correlation between Sentinel-1 and Sentinel-2 data in a wetland area should be investigated. Also, in order to clarify the representation of the satellite data in wetland areas, for future research, field measurements close to the image acquisition time are needed.  
The authors contributed equally to this research.  
This research and the APC was funded by Eskisehir Technical University Scientific Research Projects Commission under the grant no: 1705F121.  
The authors thank [PERSON] for his valuable comments concerning wetland classification, and [PERSON] for her valuable comments regarding remote sensing techniques. The authors also thank [PERSON], [PERSON], and [PERSON] for their assistance through the UAV data collection. We are also thankful to the anonymous reviewers who helped us improve our manuscript with their valuable comments.  
The authors declare no conflict of interest.  
Figure 12: Monthly LST analysis of the investigated classes in the Balikdami wetland.  
Figure 13: Monthly (January-June) VH-VV analysis of the investigated classes in the Balikdami wetland.  
Figure 4: Monthly (July–December) VH-VV analysis of the investigated classes in the Balikdami wetland.