The accurate map** of crop types is crucial for ensuring food security. Remote Sensing
(RS) satellite data have emerged as a promising tool in this field, offering broad spatial …

Remote sensing appears as an essential approach for crop map**, yet the interpretation
of satellite imageries requires for a large amount of labeled data as ground truth information …

Large-scale crop type map** often requires prediction beyond the environmental settings
of the training sites. Shifts in crop phenology, field characteristics, or ecological site …

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 …

Rapid and accurate crop classification is essential for estimating crop information and
improving cropland management. The application of deep learning models for crop …

Timely and accurate rice spatial distribution maps play a vital role in food security and social
stability. Early-season rice map** is of great significance for yield estimation, crop …

Accurate and timely spatiotemporal distribution information of soybean is vital for
sustainable agriculture development. However, it is challenging to establish a phenology …

The study explores the feasibility of adapting the EOStat crop monitoring system, originally
designed for monitoring crop growth conditions in Poland, to fulfill the requirements of a …

Nationwide and consistent information on agricultural land use forms an important basis for
sustainable land management maintaining food security,(agro) biodiversity, and soil fertility …

Abstract Data extracted from Synthetic Aperture Radar (SAR) have been widely employed to
estimate soil properties. However, these studies are typically constrained to bare soil …