Identifying Land-Use Related Potential Disaster Risk Drivers in the Ayeyarwady Delta (Myanmar) during the Last 50 Years (1974–2021) Using a Hybrid Ensemble Learning Model

Identifying Land-Use Related Potential Disaster Risk Drivers in the Ayeyarwady Delta (Myanmar) during the Last 50 Years (1974–2021) Using a Hybrid Ensemble Learning Model

Land-use and land-cover change (LULCC) dynamics significantly impact deltas, which are among the world’s most valuable but also vulnerable habitats. Non-risk-oriented LULCCs can act as disaster risk drivers by increasing levels of exposure and vulnerability or by reducing capacity. Making thematical...

Full description

Bibliographic Details
Main Authors: Anissa Vogel, Katharina Seeger, Dominik Brill, Helmut Brückner, Khin Khin Soe, Nay Win Oo, Nilar Aung, Zin Nwe Myint, Frauke Kraas
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Remote Sensing
Subjects:
Ayeyarwady Delta
Myanmar
mega-delta
land cover classification
ensemble learning
Landsat
Online Access:https://www.mdpi.com/2072-4292/14/15/3568

Internet

https://www.mdpi.com/2072-4292/14/15/3568

Similar Items