Evaluation of Calibration Method for Field Application of UAV-Based Soil Water Content Prediction Equation
The objective of this study is to monitor the water content of soil quickly and accurately using a UAV. Because UAVs have higher spatial and temporal resolution than satellites, they are currently becoming more useful in remote sensing areas. We developed a water content estimation equation using th...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2019-01-01
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| Series: | Advances in Civil Engineering |
| Online Access: | http://dx.doi.org/10.1155/2019/2486216 |
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| _version_ | 1832566538103685120 |
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| author | Donggeun Kim Younghwan Son Jaesung Park Taejin Kim Jihun Jeon |
| author_facet | Donggeun Kim Younghwan Son Jaesung Park Taejin Kim Jihun Jeon |
| author_sort | Donggeun Kim |
| collection | DOAJ |
| description | The objective of this study is to monitor the water content of soil quickly and accurately using a UAV. Because UAVs have higher spatial and temporal resolution than satellites, they are currently becoming more useful in remote sensing areas. We developed a water content estimation equation using the color of the soil and suggested a calibration method for field application. Since the resolution of the images taken by the UAV is different according to the altitude, the water content estimation formula is developed by using the images taken at each altitude. In order to calibrate the color difference according to lighting conditions, the calibration method using field data were proposed. The results of the study showed an altitude-specific estimation equation using RGB values of the UAV image through linear regression. The appropriate number of field data needed for calibration for site application of the estimation equation was found between 4 and 10. On-site application results of the proposed calibration method showed RMSE accuracy of 1.8 to 2.9%. Thus, the water content estimation and calibration method proposed in this study can be used in effectively monitoring the water content of soil using UAVs. |
| format | Article |
| id | doaj-art-59ba677261f74befacb3540829b4a9c5 |
| institution | Kabale University |
| issn | 1687-8086 1687-8094 |
| language | English |
| publishDate | 2019-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Civil Engineering |
| spelling | doaj-art-59ba677261f74befacb3540829b4a9c52025-02-03T01:03:47ZengWileyAdvances in Civil Engineering1687-80861687-80942019-01-01201910.1155/2019/24862162486216Evaluation of Calibration Method for Field Application of UAV-Based Soil Water Content Prediction EquationDonggeun Kim0Younghwan Son1Jaesung Park2Taejin Kim3Jihun Jeon4Department of Rural Systems Engineering, Seoul National University, Seoul KS013, Republic of KoreaDepartment of Rural Systems Engineering, Research Institute for Agriculture and Life Sciences, Seoul National University, Seoul KS013, Republic of KoreaDepartment of Bioresource Engineering, McGill University, Ste-Anne-de-Bellevue, QC, H9X 3V9, CanadaDepartment of Rural Systems Engineering, Seoul National University, Seoul KS013, Republic of KoreaDepartment of Rural Systems Engineering, Seoul National University, Seoul KS013, Republic of KoreaThe objective of this study is to monitor the water content of soil quickly and accurately using a UAV. Because UAVs have higher spatial and temporal resolution than satellites, they are currently becoming more useful in remote sensing areas. We developed a water content estimation equation using the color of the soil and suggested a calibration method for field application. Since the resolution of the images taken by the UAV is different according to the altitude, the water content estimation formula is developed by using the images taken at each altitude. In order to calibrate the color difference according to lighting conditions, the calibration method using field data were proposed. The results of the study showed an altitude-specific estimation equation using RGB values of the UAV image through linear regression. The appropriate number of field data needed for calibration for site application of the estimation equation was found between 4 and 10. On-site application results of the proposed calibration method showed RMSE accuracy of 1.8 to 2.9%. Thus, the water content estimation and calibration method proposed in this study can be used in effectively monitoring the water content of soil using UAVs.http://dx.doi.org/10.1155/2019/2486216 |
| spellingShingle | Donggeun Kim Younghwan Son Jaesung Park Taejin Kim Jihun Jeon Evaluation of Calibration Method for Field Application of UAV-Based Soil Water Content Prediction Equation Advances in Civil Engineering |
| title | Evaluation of Calibration Method for Field Application of UAV-Based Soil Water Content Prediction Equation |
| title_full | Evaluation of Calibration Method for Field Application of UAV-Based Soil Water Content Prediction Equation |
| title_fullStr | Evaluation of Calibration Method for Field Application of UAV-Based Soil Water Content Prediction Equation |
| title_full_unstemmed | Evaluation of Calibration Method for Field Application of UAV-Based Soil Water Content Prediction Equation |
| title_short | Evaluation of Calibration Method for Field Application of UAV-Based Soil Water Content Prediction Equation |
| title_sort | evaluation of calibration method for field application of uav based soil water content prediction equation |
| url | http://dx.doi.org/10.1155/2019/2486216 |
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