Improved correlation between UAV-based remote sensing and proximal sensor data

Vikram Sriram; Subodh Bhandari; Amar Raheja; Tristan Sherman

doi:10.1117/12.2619081

3 June 2022 Improved correlation between UAV-based remote sensing and proximal sensor data

Vikram Sriram, Subodh Bhandari, Amar Raheja, Tristan Sherman

Proceedings Volume 12114, Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping VII; 121140F (2022) https://doi.org/10.1117/12.2619081
Event: SPIE Defense + Commercial Sensing, 2022, Orlando, Florida, United States

Abstract

This paper discusses the improved correlations between unmanned aerial vehicle (UAV)-based remote sensing and proximal sensor data. Better and increased correlation between remote sensing and proximal sensor data is necessary for the remote sensing data to be useful for precision agriculture. Portable ground control points (GCPs) were used for absolute positioning and will serve as an absolute georeference for the UAV data. RTK GNSS receiver and base station were used for centimeter level accuracy of ground truth data. This paper shows the results obtained from hyperspectral sensors that uses a high-performance GNSS/INS and multispectral sensor equipped with an RTK GNSS that is connected to an RTK GNSS mobile station for increased accuracy. The remote sensing data is used to calculate various vegetation indices including normalized difference vegetation index (NDVI), Green NDVI, and modified soil adjusted vegetation indices (SAVI). The indices are compared with the data obtained from proven proximal sensors that include Handheld Spectroradiometer and Chlorophyll Meter.

Conference Presentation

Citation Download Citation

Vikram Sriram, Subodh Bhandari, Amar Raheja, and Tristan Sherman "Improved correlation between UAV-based remote sensing and proximal sensor data", Proc. SPIE 12114, Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping VII, 121140F (3 June 2022); https://doi.org/10.1117/12.2619081

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