To maximize the utility of high-frequency image data, described herein is a system for automatically detecting changes in the crop health condition within a field using derived image products. In a particular example, once a change in crop condition is detected, a notification may automatically be sent to the growers (or another third-party entity). A detailed description of the processes and algorithms utilized in this system follows below, including specific example implementations.

System Environment

FIG. 1 illustrates a system environment for detection of crop health change over an agricultural field using remotely-sensed image products, according to one example embodiment. Within the system environment 100 is an observation system 110, network system 120, client system 130, and a network 140 which links the different systems together. The network system 120 includes an image store 121, image filtering module 122, image processing module 123, and change detection module 124.

Other examples of a system environment are possible. For example, in various embodiments, the system environment 100 may include additional or fewer systems. To illustrate, a single client system may be responsible for multiple agricultural fields. The network system may leverage observations from multiple observation systems 110 to detect crop change for each of the agricultural fields. Furthermore, the capabilities attributed to one system within the environment may be distributed to one or more other systems within the system environment 100. For example, the change detection module 124 may be executed on the client system 110 rather than the network system 120.