There is a necessity for new methods and technology for several agricultural applications and decision support systems. Technological development at the global, national, and regional level has shown a path for the application of spaceborne remote sensing for agriculture purposes. Remote sensing technology eases to detect areas within the plots for a reliable data supply to analyze the data. Spaceborne synthetic aperture radar (SAR) data are capable to provide a reliable data supply throughout the year. The global repetition rate is up to 12 days. The datasets acquired from the Sentinel-1 platform facilitates a ground resolution of 20 × 20 m and these sufficient for the synchronization of spaceborne multispectral and radar datasets for enhanced agricultural cropland monitoring applications and decision support systems. Sentinel-1 data is a C-band radar data sets in dual-polarizations. The signal intensity changes over according to humidity in the soil or vegetation cover and the surface structure. The variations in signal information being recovered at the sensor end help in the informed decision making. Besides, SAR datasets are capable to provide information on the phenological stage of agricultural cropland along with crop-type differentiation for specific use cases. The synchronous utilization of spaceborne multispectral and radar datasets for enhanced agricultural cropland monitoring applications and decision support systems can be transformed into informative map products for several processes. The same technology can be beneficial for monitoring crop conditions during any disaster and early warning systems for proper management of available resources.

一些农业应用和决策支持系统需要新的方法和技术。全球、国家和区域层面的技术发展已经为将航天遥感应用于农业目的开辟了道路。遥感技术可以轻松地检测地块内的区域，以提供可靠的数据供应来分析数据。星载合成孔径雷达 (SAR) 数据能够全年提供可靠的数据供应。全球重复率高达12天。从 Sentinel-1 平台获取的数据集实现了 20 × 20 m 的地面分辨率，这些足以同步星载多光谱和雷达数据集，以增强农田监测应用和决策支持系统。Sentinel-1 数据是双极化的 C 波段雷达数据集。信号强度根据土壤或植被覆盖中的湿度和表面结构而变化。在传感器端恢复的信号信息的变化有助于做出明智的决策。此外，SAR 数据集能够提供有关农田物候阶段的信息以及特定用例的作物类型差异。用于增强农田监测应用和决策支持系统的星载多光谱和雷达数据集的同步利用可以转化为用于多个过程的信息地图产品。相同的技术可以有益于在任何灾害期间监测作物状况和早期预警系统，以适当管理可用资源。