Monitoring Vegetation Cover Changes by Sentinel-1 Radar Images Using Random Forest Classification Method

• Autorzy: Tran Van Anh , Le Thi Le , Nguyen Nhu Hung , Le Thanh Nghi , Tran Hong Hanh

Identyfikatory

DOI

10.29227/IM-2021-02-

• Języki publikacji: EN

Abstrakty

EN

Vietnam is an Asian country with hot and humid tropical climate throughout the year. Forests account for more than 40% of the total land area and have a very rich and diverse vegetation. Monitoring the changes in the vegetation cover is obviously important yet challenging, considering such large varying areas and climatic conditions. A traditional remote sensing technique to monitor the vegetation cover involves the use of optical satellite images. However, in presence of the cloud cover, the analyses done using optical satellite image are not reliable. In such a scenario, radar images are a useful alternative due to the ability of radar pulses in penetrating through the clouds, regardless of day or night. In this study, we have used multi temporal C band satellite images to monitor vegetation cover changes for an area in Dau Tieng and Ben Cat districts of Binh Duong province, Mekong Delta, Vietnam. With a collection of 46 images between March 2015 and February 2017, the changes of five land cover types including vegetation loss and replanting in 2017 were analyzed by selecting two cases, using 9 images in the dry season of 3 years 2015, 2016 and 2017 and using all of 46 images to conduct Random Forest classifier with 100, 200, 300 and 500 trees respectively. The result in which the model with nine images and 300 trees gave the best accuracy with an overall accuracy of 98.4% and a Kappa of 0.97. The results demonstrated that using VH polarization, Sentinel-1 gives quite a good accuracy for vegetation cover change. Therefore, Sentinel-1 can also be used to generate reliable land cover maps suitable for different applications.

Słowa kluczowe

EN

vegetation cover change,; Sentinel-1; Random Forest; Binh Duong; Vietnam

PL

Wietnam; Sentinel-1; wegetacja

• Wydawca: Polskie Towarzystwo Przeróbki Kopalin
• Czasopismo: Inżynieria Mineralna
• Rocznik: 2021
• Tom: no. 2
• Strony: 441--451
• Opis fizyczny: Bibliogr. 27 poz., tab., wykr., zdj.

Twórcy

autor

Tran Van Anh

• Hanoi University of Mining and Geology, 18 Vien street, Hanoi, Vietnam

autor

Le Thi Le

• Thu Dau Mot University, Binh Duong, Vietnam

autor

Nguyen Nhu Hung

• Military of Technical Academy, 236 Hoang Quoc Viet, Hanoi, Vietnam

autor

Le Thanh Nghi

• Hanoi University of Mining and Geology, 18 Vien street, Hanoi, Vietnam

autor

Tran Hong Hanh

• Hanoi University of Mining and Geology, 18 Vien street, Hanoi, Vietnam

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).