What to Expect
The shift in the paradigm of point to landscape-scale in agroecology had a tremendous effect on management practices. The advances in computational capabilities and increased efficiency had transformed our thought processes in these areas. Some of the examples of these efforts are to monitor vegetation indices, surface temperature, and soil moisture far from the sky using remote sensing based techniques that had been widely used in agroecology; there are still gaps in these traits either to integrate these processes or in the prediction accuracy. With the help of supercomputers and intelligent algorithms, the data from manned or unmanned aerial vehicles, drones, and lidar technology will further complement the remote sensing techniques in the coming decades. The transfer of knowledge of these landscape-scale advances in agroecology to the end-users is vital for increasing crop productivity and reducing the impacts of climate extremes. This presentation will discuss the benefits and challenges of the effort to develop and utilize the landscape-scale integrated analytic crop water productivity tool supporting multi-year water management decisions. Some real-world examples of solving the compelling problems of agroecology will also be discussed.
Ramesh Dhungel is a postdoc on assignment at the Department of Agronomy, Kansas State University. He earned his Ph.D. in civil engineering at the University of Idaho; and later working at the University of California, Merced and Desert Research Institute, Reno, NV. His research focuses on water resources management topics including surface and groundwater interactions, bio-micrometeorology, and modeling atmospheric and environmental processes using remote sensing and geospatial tools. He developed the Backward-averaged iterative two-source surface temperature and energy balance solution (BAITSSS), a biophysical high-resolution (spatial and temporal) land surface model quantifying evapotranspiration.
Note: Contact Haruko Wainwright for Zoom meeting details.