Applying Multi-Temporal Landsat Satellite Data and Markov-Cellular Automata to Predict Forest Cover Change and Forest Degradation of Sundarban Reserve Forest, Bangladesh
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Hasan, M.E.; Nath, B.; Sarker, A.H.M.R.; Wang, Z.; Zhang, L.; Yang, X.; Nobi, M.N.; Røskaft, E.; Chivers, D.J.; Suza, M. Applying Multi-Temporal Landsat Satellite Data and Markov-Cellular Automata to Predict Forest Cover Change and Forest Degradation of Sundarban Reserve Forest, Bangladesh. Forests 2020, 11, 1016. https://doi.org/10.3390/f11091016
Hasan ME, Nath B, Sarker AHMR, Wang Z, Zhang L, Yang X, Nobi MN, Røskaft E, Chivers DJ, Suza M. Applying Multi-Temporal Landsat Satellite Data and Markov-Cellular Automata to Predict Forest Cover Change and Forest Degradation of Sundarban Reserve Forest, Bangladesh. Forests. 2020; 11(9):1016. https://doi.org/10.3390/f11091016
Chicago/Turabian StyleHasan, Mohammad Emran, Biswajit Nath, A.H.M. Raihan Sarker, Zhihua Wang, Li Zhang, Xiaomei Yang, Mohammad Nur Nobi, Eivin Røskaft, David J. Chivers, and Ma Suza. 2020. "Applying Multi-Temporal Landsat Satellite Data and Markov-Cellular Automata to Predict Forest Cover Change and Forest Degradation of Sundarban Reserve Forest, Bangladesh" Forests 11, no. 9: 1016. https://doi.org/10.3390/f11091016