@article{TRAN_LE_NGUYEN_LE_TRAN_2021, title={Monitoring Vegetation Cover Changes by Sentinel-1 Radar Images Using Random Forest Classification Method}, volume={1}, url={https://inzynieriamineralna.com.pl/index.php/testowe/article/view/262}, DOI={10.29227/IM-2021-02-41}, abstractNote={<p>Vietnam is an Asian country with hot and humid tropical climate throughout the year. Forests<br>account for more than 40% of the total land area and have a very rich and diverse vegetation.<br>Monitoring the changes in the vegetation cover is obviously important yet challenging, considering such<br>large varying areas and climatic conditions. A traditional remote sensing technique to monitor the<br>vegetation cover involves the use of optical satellite images. However, in presence of the cloud cover,<br>the analyses done using optical satellite image are not reliable. In such a scenario, radar images are a<br>useful alternative due to the ability of radar pulses in penetrating through the clouds, regardless of day or<br>night. In this study, we have used multi temporal C band satellite images to monitor vegetation cover<br>changes for an area in Dau Tieng and Ben Cat districts of Binh Duong province, Mekong Delta,<br>Vietnam. With a collection of 46 images between March 2015 and February 2017, the changes of five<br>land cover types including vegetation loss and replanting in 2017 were analyzed by selecting two cases,<br>using 9 images in the dry season of 3 years 2015, 2016 and 2017 and using all of 46 images to conduct<br>Random Forest classifier with 100, 200, 300 and 500 trees respectively. The result in which the model<br>with nine images and 300 trees gave the best accuracy with an overall accuracy of 98.4% and a Kappa<br>of 0.97. The results demonstrated that using VH polarization, Sentinel-1 gives quite a good accuracy for<br>vegetation cover change. Therefore, Sentinel-1 can also be used to generate reliable land cover maps<br>suitable for different applications.</p&gt;}, number={2}, journal={Inżynieria Mineralna}, author={TRAN , Van Anh and LE , Thi Le and NGUYEN , Nhu Hung and LE , Thanh Nghi and TRAN , Hong Hanh}, year={2021}, month={grudz.} }