In Earth observation (EO), large-scale land-surface dynamics are traditionally analyzed by
investigating aggregated classes. The increase in data with a very high spatial resolution …

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 …

Crop recognition in tropical regions is a challenging task because of the highly complex crop
dynamics, with multiple crops per year. Nevertheless, most automatic methods proposed …

Offshore wind energy is at the advent of a massive global expansion. To investigate the
development of the offshore wind energy sector, optimal offshore wind farm locations, or the …

Automatic crop identification and monitoring is a key element in enhancing food production
processes as well as diminishing the related environmental impact. Although several …

Accurate crop type identification and crop area estimation from remote sensing data in
tropical regions are still considered challenging tasks. The more favorable weather …

The population growth and consequent global rise in food demand require increasingly
efficient agricultural solutions, in what is commonly called digital agriculture. Among …

The extraction and evaluation of crop production units are important foundations for
agricultural production and management in modern smallholder regions, which are very …

The increasing food demand is regarded as the main threat to nature today. In this scenario,
Remote Rensing is an essential technology to assess and monitor the extent and …

Crop classification is of critical importance due to its role in studying crop pattern changes,
resource management, and carbon sequestration. When employing data-driven techniques …