Canopy structure and development High-res RGB and Multispectral Imagery

About RSIL

Applied Remote Sensing for Agricultural Research

RSIL supports research by integrating UAV imagery, field data, and geospatial analysis. Housed in the Department of Agronomy, we design project-specific processing pipelines aligned with experimental objectives, grounded in applied agronomic protocols and current research. This approach reduces technical and cost barriers, making complex spatial data easy to adopt and enabling research programs to use remote sensing effectively, enhancing canopy assessments and strengthening traditional agronomic research.

Applied Remote Sensing for Agricultural Research

A Complete Workflow from Field to Delivery

Our team provides an end-to-end workflow spanning flight planning, image processing, orthomoisaicking, plot-level measurements, temporal comparisons, and final data delivery. By managing the entire process, we help collaborators move efficiently from data collection to usable research-ready results with minimal friction.

A Complete Workflow from Field to Delivery

RSIL Products

End-to-End Workflows

End-to-End Workflows

A complete research workflow from field collection to data delivery. RSIL supports daily or weekly assessments and enables advanced analyses such as crop modeling and temporal monitoring. RSIL integrates UAV imagery with satellite products, soil maps, weather inputs, and field data to produce harmonized, research-ready datasets aligned with experimental objectives.

Flexible Flight & Processing

Flexible Flight & Processing

Targeted support for teams already collecting imagery or managing parts of their own workflows. RSIL provides flights-only, processing-only, or complete services and works with collaborators to automate processing pipelines and field setups, including field-triggered processing workflows. For instance, our field app automates GPS georeferencing, file transfer, and processing while the team is on the road collecting data.

Advanced Spatial Analysis

Advanced Spatial Analysis

RSIL web interface hosts and supports advanced spatial analysis that requires high-performance computing. This product enables collaborators to run computationally intensive workflows, including machine learning training, large-scale modeling, and real-world applied analyses, without the burden of local infrastructure. Currently, the RSIL website hosts more than 8 TB of data from more than 200 drone flights and 1M individual images.

Meet the RSIL Team

Ready to work with RSIL or learn more about remote sensing?

Reach out to RSIL to discuss field experiments, research protocols, training opportunities, proposal development, or access to existing datasets. We provide guidance on enhancing research programs and operations and support collaborators at any stage of their remote sensing journey.

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