Abstract Synthetic Aperture Radar (SAR) observations, valued for their consistent acquisition
schedule and not being affected by cloud cover and variations between day and night, have …

This study demonstrates how the availability of frequent Synthetic Aperture Radar (SAR)
observations has transformed crop yield prediction, a critical component of food security and …

Accurate yield forecasts can assist decision-makers in developing plans to bridge the food
demand gap in the context of changing climatic conditions. Literature shows a variety of …

Abstract Agriculture in the Indian Sundarbans is mainly dominated by kharif rice-based
cropping systems. The cropping intensity of this region largely depends on growing cycle of …

In an era marked by growing global population and climate variability, ensuring food security
has become a paramount concern. Rice, being a staple crop for billions of people, requires …

Context Crop insurance has become an indispensable risk management tool in the
agricultural sector because globally crops are being exposed to multiple hazards. The lack …

Reliable rice yield information is critical for global food security. Optical vegetation indices
(OVIs) are important parameters for rice yield estimation using remote sensing. Studies have …

SAR's return signal sensitivity to dielectric constant and penetration through vegetation
makes it ideal for large-scale soil moisture studies. High incidence angle SAR data is …

Remote sensing technology is used to quickly investigate as an innovative, standardized,
potentially cost-effective, and faster method for crop acreage estimation. Furthermore, when …