Remote sensing applications are the uses of remotely sensed observations, data, and analytical methods to obtain information about the Earth’s surface and environmental processes for specific scientific, environmental, agricultural, and resource-management purposes ^[1][2]. They involve the processing and interpretation of remotely sensed data to characterize geographic conditions, identify spatial patterns, and monitor changes over time. Major applications include land-use and land-cover mapping and change detection, agricultural monitoring, crop condition and yield assessment, environmental monitoring, and the observation of changes in terrestrial and coastal environments ^[3][4]. In agriculture, remote sensing can provide information on crop characteristics, crop development, agricultural land use, yield, and environmental conditions relevant to agricultural management ^[1][2]. Remote sensing applications therefore encompass both the extraction of information from individual observations and the analysis of repeated observations to characterize spatial and temporal variation. Their specific form depends on the characteristics of the remotely sensed data, the phenomenon being investigated, and the information requirements of the application ^[2][4].