The era of big data and analytics is opening up new possibilities for disaster management
(DM). Due to its ability to visualize, analyze and predict disasters, big data is changing the …

Starting from the importance of innovative solutions for improving the needs of different
practitioners as flood risk managers, the purpose of this review was to describe and analyze …

Abstract Google Earth Engine (GEE) is an ideal platform for large-scale geospatial
agricultural and environmental modeling based on its diverse geospatial datasets, easy-to …

With the advancement of GIS technology since its inception in 1960's, many educational
institutions, government departments, public/private sectors and individuals have started its …

As global demand for food, energy, and water resources continues to increase, decision-
makers in these sectors must find sustainable ways to produce and provide for the growing …

A natural hazard-related disaster event often causes a series of secondary disasters,
forming a disaster chain. Modeling the evolution of disaster chains in multi-hazard scenarios …

AI (artificial intelligence)-based analysis of geospatial data has gained a lot of attention.
Geospatial datasets are multi-dimensional; have spatiotemporal context; exist in disparate …

With the development of geographic simulation methods in recent decades, a great deal of
resources have accumulated to support their implementation. These resources can be …

Pollution from tailings areas often introduces serious animal-and plant-associated
ecological disasters and can even endanger human health. Communication-navigation …

As an important tool for air quality simulation, the Community Multiscale Air Quality (CMAQ)
model is widely used in the environmental modeling community. However, setting up and …