Effective approaches to achieve food safety and security can prevent catastrophic situations.
Therefore, it is required to monitor agricultural crops on a regular basis. This can be easily …

Developments in space-based hyperspectral sensors, advanced remote sensing, and
machine learning can help crop yield measurement, modelling, prediction, and crop …

The ever-increasing global population presents a looming threat to food production. To meet
growing food demands while minimizing negative impacts on water and soil, agricultural …

Precise crop mapping is crucial for guiding agricultural production, forecasting crop yield,
and ensuring food security. Integrating optical and synthetic aperture radar (SAR) satellite …

Land cover classification in remote sensing is often faced with the challenge of limited
ground truth labels. Incorporating historical ground information has the potential to …

Multiple cropping is a widespread approach for intensifying crop production through
rotations of diverse crops. Maps of cropping intensity with crop descriptions are important for …

Crop classification provides essential information for ensuring global food security, allowing
early crop monitoring practices and water irrigation management. Despite of high …

Accurate and timely information on winter wheat spatial distribution is essential for food
security and environmental sustainability. However, high-quality nation-wide winter wheat …

Spatially explicit information on crop distribution is essential for market information, food
security, and agricultural sustainability. However, high-resolution crop maps are unavailable …

Spatially explicit and detailed information on tree species composition is critical for forest
management, nature conservation and the assessment of forest ecosystem services. In …