System and Method to Assist Crop Loss Adjusting of Variable Impacts Across Agricultural Fields Using Remotely-Sensed Data

摘要

Crop insurance is a crucial support for United States (US) farmers that will benefit from technology, especially for adjusting crop losses. Earth observation satellite (EOS) data are sufficient in resolution and repeat coverage to assess variable crop loss across fields from a variety of causes including hail, drought, and insect pests and disease and permits highly accurate estimation of impacts. Combined with spatial data that define the outline of each field, an application of the present invention can be automated to assist in crop loss adjusting, to speed the process of loss adjusting and payment, and to document the loss adjustment analysis and results. These functions enhance efficiency and lower crop loss adjusting costs for the insurance provider. Through automation and use of EOS data, this technology can be applied across many thousands of square miles at a time.