This article reviews case studies which have used remote sensing data for different aspects
of flood crop loss assessment. The review systematically finds a total of 62 empirical case …

Crop type maps were created without the traditional need for in-season training data across
the Corn Belt and Great Plains regions of the United States. This was accomplished through …

Accurate crop-specific damage assessment immediately after flood events is crucial for grain
pricing, food policy, and agricultural trade. The main goal of this research is to estimate the …

The cropland field (CF) is the basic unit of agricultural production and a key element of
precision agriculture. High-precision delineations of CF boundaries provide a reliable data …

Large-area crop type identification and mapping for cropland are intensively crucial for
agriculture research, yield forecast, and disaster management. The United States …

In this upcoming Common Agricultural Policy (CAP) reform, the use of satellite imagery is
taking an increasing role for improving the Integrated Administration and Control System …

Research in different agricultural sectors, including in crop loss estimation during flood and
yield estimation, substantially rely on inundation information. Spaceborne remote sensing …

Within-season crop classification using multispectral imagery is an effective way to generate
timely crop maps that can support water and crop management; however, developing such …

Accurate and timely access to the production area of crop seeds allows the seed market and
secure seed supply to be monitored. Seed maize and common maize production fields …

Maize is one of the main grain reserve crops, which directly affects the food security of the
country. It is extremely important to evaluate the growth status of maize in a timely and …