Wetland‐Inundated Area Modeling and Monitoring Using Supervised and Machine Learning Classifiers

The wetlands have major importance in environments, as they provide several goods and services. But the wetlands are in deep crisis and are claiming the attention of people around the world who are calling for sustainability. The Sunamganj district of Bangladesh is known as haor basin, because it is the home of many big wetlands, but they are facing several problems such surface water crisis, groundwater depletion, and anthropogenic interference. Therefore, the present study was designed to study the mapping of the wetlands inundation area for the year 2018 using artificial neural network (ANN), Random Forest (RF), Support Vector Machine (SVM), Maximum likelihood classifier(MLC), parallelepiped (PP), and Spectral Information Divergence (SID). Then, the best classifier was selected based on the…