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ARS Home » Midwest Area » Ames, Iowa » National Laboratory for Agriculture and The Environment » Soil, Water & Air Resources Research » Research » Publications at this Location » Publication #355844

Research Project: Utilization of the G x E x M Framework to Develop Climate Adaptation Strategies for Temperate Agricultural Systems

Location: Soil, Water & Air Resources Research

Title: Remote Sensing in Agriculture: Achieving the potential from this technology for agriculture

item Hatfield, Jerry
item Prueger, John

Submitted to: Meeting Abstract
Publication Type: Abstract Only
Publication Acceptance Date: 6/20/2018
Publication Date: 11/7/2018
Citation: Hatfield, J.L., Prueger, J.H. 2018. Remote Sensing in Agriculture: Achieving the potential from this technology for agriculture [abstract]. In: Proceedings of ASA-CSSA International Meeting, November 4-7, Baltimore, MD.

Interpretive Summary:

Technical Abstract: Remote sensing has provided many insights into agricultural systems since the launch of the first multi-spectral satellites. There has been the development of crop classification systems, productivity estimates, crop water use indicators, soil moisture, crop stress and drought quantification, and monitoring for invasive species. There are a number of different platforms available with a range of spatial and temporal scales and there is a continual increase in the number of wavebands being collected from these different systems. What hasn’t changed over the last fifty years is an advance in the vegetative indices to explore new combinations of wavebands capable of providing more information about crop phenology, insect or disease presence, weed detection, or changes in the underlying soil condition. This is the challenge area for remote sensing. The linkage of visible, near-infrared, thermal, or microwave platforms with radar images offers the potential for extending the temporal scale into the near continuous coverage that had previously been limited to clear sky conditions. Data fusion of different sensors into reliable indicators of the state of soil, water, and vegetation will increase our ability to provide information to producers, land managers, resource specialists, and policymakers about the current state of our natural resources and how they can be more effectively managed.