Predictive landslide susceptibility modeling in the southeastern hilly region of Bangladesh: application of machine learning algorithms in Khagrachari district.

Autor: Hasan MM; Department of Geography and Environment, Jagannath University, Dhaka, 1100, Bangladesh. mhmilton017@gmail.com., Roy SK; Institute of Water and Flood Management, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh., Talha MD; Department of Geography and Environment, Jagannath University, Dhaka, 1100, Bangladesh., Ferdous MT; Department of Geography and Environment, Jagannath University, Dhaka, 1100, Bangladesh., Nasher NMR; Department of Geography and Environment, Jagannath University, Dhaka, 1100, Bangladesh.

Publikováno v: Environmental science and pollution research international [Environ Sci Pollut Res Int] 2024 Sep 20. Date of Electronic Publication: 2024 Sep 20.

Quantifying forest land-use changes using remote-sensing and CA-ANN model of Madhupur Sal Forests, Bangladesh.

Autor: Islam MY; Center for Environmental and Geographic Information Services (CEGIS), Dhaka, Bangladesh., Nasher NMR; Faculty of Life and Earth Sciences, Jagannath University, Dhaka, Bangladesh., Karim KHR; Center for Environmental and Geographic Information Services (CEGIS), Dhaka, Bangladesh., Rashid KJ; Center for Environmental and Geographic Information Services (CEGIS), Dhaka, Bangladesh.

Publikováno v: Heliyon [Heliyon] 2023 Apr 25; Vol. 9 (5), pp. e15617. Date of Electronic Publication: 2023 Apr 25 (Print Publication: 2023).