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Field-Based Calibration of Unmanned Aerial Vehicle Thermal Infrared Imagery with Temperature-Controlled References
| Content Provider | MDPI |
|---|---|
| Author | Han, Xiongzhe Thomasson, J. Alex Swaminathan, Vaishali Wang, Tianyi Siegfried, Jeffrey Raman, Rahul Rajan, Nithya Neely, Haly |
| Copyright Year | 2020 |
| Description | Accurate and reliable calibration methods are required when applying unmanned aerial vehicle (UAV)-based thermal remote sensing in precision agriculture for crop stress monitoring, irrigation planning, and harvesting. The primary objective of this study was to improve the calibration accuracies of UAV-based thermal images using temperature-controlled ground references. Two temperature-controlled ground references were installed in the field to serve as high- and low-temperature references, approximately spanning the expected range of crop surface temperatures during the growing season. Our results showed that the proposed method using temperature-controlled references was able to reduce errors due to ambient conditions from 9.29 to 1.68 °C, when tested with validation panels. There was a significant improvement in crop temperature estimation from the thermal image mosaic, as the error reduced from 14.0 °C in the un-calibrated image to 1.01 °C in the calibrated image. Furthermore, a multiple linear regression model (R2 = 0.78; p-value < 0.001; relative RMSE = 2.42%) was established to quantify soil moisture content based on canopy surface temperature and soil type, using UAV-based thermal image data and soil electrical conductivity (ECa) data as the predictor variables. |
| Starting Page | 7098 |
| e-ISSN | 14248220 |
| DOI | 10.3390/s20247098 |
| Journal | Sensors |
| Issue Number | 24 |
| Volume Number | 20 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2020-12-11 |
| Access Restriction | Open |
| Subject Keyword | Sensors Remote Sensing Unmanned Aerial Vehicles Thermal Remote Sensing Temperature-controlled Ground References Crop Surface Temperature Temperature Calibration |
| Content Type | Text |
| Resource Type | Article |
