Agricultural
Agriculture plays an important role in economies of countries. The production of food is important to everyone and producing food in a cost-effective manner is the goal of every farmer and an agricultural agency. The satellites has an ability to image individual fields, regions and counties on a frequent revisit cycle. Customers can receive field-based information including crop identification, crop area determination and crop condition monitoring (health and viability). Satellite data are employed in precision agriculture to manage and monitor farming practices at different levels. The data can be used to farm optimization and spatially-enable management of technical operations. The images can help determine the location and extent of crop stress and then can be used to develop and implement a spot treatment plan that optimizes the use of agricultural chemicals. The major agricultural applications of remote sensing include the following:
vegetation
crop type classification
crop condition assessment (crop monitoring, damage assessment)
crop yield estimation
soil
mapping of soil characteristics
mapping of soil type
soil erosion
soil moisture
mapping of soil management practices
compliance monitoring (farming practices)