Rice is the staple crop for more than half the world's population, but there is a lack of high-
resolution maps outlining rice areas and their growth stages. Most remote sensing studies …

Usually, continuous effective optical observation data collected from a single-sensor within
one year is not available, most studies conducted rice mapping in Northeast China using …

The automatic and accurate detection of mangroves from remote sensing data is essential to
assist in conservation strategies and decision-making that minimize possible environmental …

Rice is a globally significant staple food crop. Therefore, it is crucial to have adequate tools
for monitoring changes in the extent of rice paddy cultivation. Such a system would require a …

Recent advancements in deep learning have spurred the development of numerous novel
semantic segmentation models for land cover mapping, showcasing exceptional …

The state of Amapá within the Amazon biome has a high complexity of ecosystems formed
by forests, savannas, seasonally flooded vegetation, mangroves, and different land uses …

Panoptic segmentation is a recent and powerful task that tackles individual object
recognition (“things”) and multiple backgrounds (“stuff”) simultaneously. Remote sensing …

Dunes are among the most abundant aeolian landforms found on Earth and other planets.
The automatic mapping of dunes over large-scale areas is crucial for predicting, monitoring …

Rice diseases are extremely harmful to rice growth, and achieving the identification and
rapid classification of rice disease spots is an essential means to promote intelligent rice …

Reliable and timely rice distribution information is of great value for real-time, quantitative,
and localized control of rice production information. Synthetic aperture radar (SAR) has all …