Remote sensing (RS) systems have been collecting massive volumes of datasets for
decades, managing and analyzing of which are not practical using common software …

Abstract Google Earth Engine (GEE) is a cloud-based geospatial processing platform for
large-scale environmental monitoring and analysis. The free-to-use GEE platform provides …

Accurate and timely monitoring of flooded crop areas is crucial for disaster rescue and loss
assessment. However, most flooded crop monitoring methods based on synthetic aperture …

In August 2022, one of the most severe floods in the history of Pakistan was triggered due to
the exceptionally high monsoon rainfall. It has affected~ 33 million people across the …

Flood management, which involves flood prediction, detection, mapping, evacuation, and
relief activities, can be improved via the adoption of state-of-the-art tools and technology …

The continuous increase in the volume of geospatial data has led to the creation of storage
tools and the cloud to process data. Google Earth Engine (GEE) is a cloud-based platform …

This work proposes a new approach by integrating statistical, machine learning, and multi-
criteria decision analysis, including artificial neural network (ANN), logistic regression (LR) …

Globally, flooding is the leading cause of natural disaster related deaths, especially in
Bangladesh where approximately one third of national area gets flooded annually by …

Low-lying Bangladesh is known as one of the most flood-prone countries in the world.
During the last few decades, the frequency, intensity, and duration of floods have increased …

Flood inundation maps provide valuable information towards flood risk preparedness,
management, communication, response, and mitigation at the time of disaster, and can be …