This disclosure describes various methods and systems used for the detection and highlighting of areas of crop condition change within an agricultural field using remotely-sensed image data. In one example, the method involves the computation of vegetation indices from multi-date images, and then the performance of comparisons between these multi-date vegetation index images. Regions of change are detected using a minimum-change threshold. When these change regions meet specified criteria (such as a minimum area threshold), a notification (alert) can be sent to an agricultural grower, informing them of the change in crop condition, and allowing them to view the change regions and associated map layers.

According to one aspect, a method for crop health change monitoring is provided. The method includes acquiring a companion image of a crop growing within a field at a first point in time, acquiring a master image of the crop growing within the field at a second point in time, the first point in time prior to the second point in time, and computing, using a processor, vegetation indices using the master image and the companion image. The method further includes determining, using the processor, regions of change within the master image using the vegetation indices. If change within one or more of the regions of change is sufficient to meet defined criteria, the method provides for generating an alert indicative of a change in crop condition of the crop growing within the field between the first point in time and the second point in time. The method further includes communicating the alert indicative of the change in crop condition over a network to a computing device configured to receive the alert.