The advancement in satellite remote sensing technology has revolutionised the approaches
to monitoring the Earth's surface. The development of the Copernicus Programme by the …

Remote sensing of urban environments has unveiled a significant shift from single-city
investigations to the inclusion of multiple cities. Originated from the ideas of the Remote …

Drought is a damaging and costly natural disaster that frequently affects many climatic
regions in the world. A multi-criteria-based approach for integrated spatial drought …

Floods are common natural disasters worldwide, frequently causing loss of lives and huge
economic and environmental damages. A spatial vulnerability map** approach …

Land scene classification in satellite imagery has a wide range of applications in remote
surveillance, environment monitoring, remote scene analysis, Earth observations and urban …

Forecasting drought and determining relevant data to predict drought are an important topic
for decision-makers and planners. It is critical to predicting drought in the south of Fars …

This study harnessed the formidable predictive capabilities of three state-of-the-art machine
learning models—extreme gradient boosting (XGB), random forest (RF), and CatBoost (CB) …

Typhoons can bring substantial casualties and economic ramifications, and effective
prevention strategies necessitate a comprehensive risk assessment. Nevertheless, existing …

The integration of Artificial Intelligence (AI) and Satellite Remote Sensing in Land Cover
Change Detection (LCCD) has gained increasing significance in scientific discovery and …

Tropical cyclones frequently affect millions of people, damaging properties, livelihoods and
environments in the coastal region of Bangladesh. The intensity and extent of tropical …