The Prairie Pothole Region (PPR) of North America is an extremely important habitat for a
diverse range of wetland ecosystems that provide a wealth of socio-economic value. This …

Accurate mapping and monitoring of flooded areas are immensely required for disaster
management purposes, such as for damage assessment and mitigation. In this study, the …

Availability and applications of open-source data for disaster risk reductions are increasing.
Flood hazards are a constant threat to local communities and infrastructures (eg, built-up …

This study explores the potential of photogrammetric datasets and remote sensing methods
for the assessment of a meteorological catastrophe that occurred in Ordu, Turkey in August …

The number of rainfall-induced landslides and the resulting casualties are increasing
worldwide. Efficient Landslide Early Warning Systems (LEWS) are the best way to reduce …

Urbanization increases the amount of impervious surfaces, making accurate information on
spatial and temporal expansion trends essential; the challenge is to develop a cost-and …

Deep learning algorithms show good prospects for remote sensing flood monitoring. They
mostly rely on huge amounts of labeled data. However, there is a lack of available labeled …

Mapping and monitoring land use (LU) changes is one of the most effective ways to
understand and manage land transformation. The main objectives of this study were to …

Crop classification is an important remote sensing task with many applications, eg, food
security monitoring, ecosystem service mapping, climate change impact assessment, etc …

Precise and cost-effective mapping of crop and other land cover (LC) types is essential for
food security, precision agriculture, and water distribution management. However, accurate …