Experimental study on estimating bare soil moisture content based on UAV multi-source remote sensing
The focus of this paper is to measure the moisture content of bare soil using multi-source remote sensing with UAVs. A series of experiments were carried out indoors and outdoors by using thermal infrared and multi-spectral sensors carried by UAV. In the indoor experiment, the relationship between s...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2025-12-01
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| Series: | Geocarto International |
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| Online Access: | https://www.tandfonline.com/doi/10.1080/10106049.2024.2448985 |
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| _version_ | 1841554916715266048 |
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| author | Hongyan Yuan Shiqi Liang Yurong Gao Yulu Gao Xugang Lian |
| author_facet | Hongyan Yuan Shiqi Liang Yurong Gao Yulu Gao Xugang Lian |
| author_sort | Hongyan Yuan |
| collection | DOAJ |
| description | The focus of this paper is to measure the moisture content of bare soil using multi-source remote sensing with UAVs. A series of experiments were carried out indoors and outdoors by using thermal infrared and multi-spectral sensors carried by UAV. In the indoor experiment, the relationship between surface spectral reflectance, thermal infrared surface temperature, and soil moisture content was analyzed, and the corresponding inversion model was constructed. The inversion effect was the most effective when the soil bulk density was high and the soil depth was 4–5 cm. In the outdoor experiment, the flight height of the UAV was 83 m and 108 m for thermal infrared and multi-spectral image acquisition, respectively. When the in situ average soil bulk density was 1.366 g/cm3, the moisture content at 3 cm and 6 cm was measured by temperature hygrometer, and it was found that the inversion model at 6 cm depth was better. |
| format | Article |
| id | doaj-art-1380178cfacd45c396ab5a3656208377 |
| institution | Kabale University |
| issn | 1010-6049 1752-0762 |
| language | English |
| publishDate | 2025-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Geocarto International |
| spelling | doaj-art-1380178cfacd45c396ab5a36562083772025-01-08T07:59:00ZengTaylor & Francis GroupGeocarto International1010-60491752-07622025-12-0140110.1080/10106049.2024.2448985Experimental study on estimating bare soil moisture content based on UAV multi-source remote sensingHongyan Yuan0Shiqi Liang1Yurong Gao2Yulu Gao3Xugang Lian4School of Traffic Engineering, Shanxi Vocational University of Engineering Science and Technology, Jinzhong, ChinaCollege of Geological and Surveying Engineering, Taiyuan University of Technology, Taiyuan, ChinaCollege of Geological and Surveying Engineering, Taiyuan University of Technology, Taiyuan, ChinaCollege of Geological and Surveying Engineering, Taiyuan University of Technology, Taiyuan, ChinaCollege of Geological and Surveying Engineering, Taiyuan University of Technology, Taiyuan, ChinaThe focus of this paper is to measure the moisture content of bare soil using multi-source remote sensing with UAVs. A series of experiments were carried out indoors and outdoors by using thermal infrared and multi-spectral sensors carried by UAV. In the indoor experiment, the relationship between surface spectral reflectance, thermal infrared surface temperature, and soil moisture content was analyzed, and the corresponding inversion model was constructed. The inversion effect was the most effective when the soil bulk density was high and the soil depth was 4–5 cm. In the outdoor experiment, the flight height of the UAV was 83 m and 108 m for thermal infrared and multi-spectral image acquisition, respectively. When the in situ average soil bulk density was 1.366 g/cm3, the moisture content at 3 cm and 6 cm was measured by temperature hygrometer, and it was found that the inversion model at 6 cm depth was better.https://www.tandfonline.com/doi/10.1080/10106049.2024.2448985Bare soil moisture contentsoil bulk densityUAV thermal infraredUAV multi-spectralinversion model |
| spellingShingle | Hongyan Yuan Shiqi Liang Yurong Gao Yulu Gao Xugang Lian Experimental study on estimating bare soil moisture content based on UAV multi-source remote sensing Geocarto International Bare soil moisture content soil bulk density UAV thermal infrared UAV multi-spectral inversion model |
| title | Experimental study on estimating bare soil moisture content based on UAV multi-source remote sensing |
| title_full | Experimental study on estimating bare soil moisture content based on UAV multi-source remote sensing |
| title_fullStr | Experimental study on estimating bare soil moisture content based on UAV multi-source remote sensing |
| title_full_unstemmed | Experimental study on estimating bare soil moisture content based on UAV multi-source remote sensing |
| title_short | Experimental study on estimating bare soil moisture content based on UAV multi-source remote sensing |
| title_sort | experimental study on estimating bare soil moisture content based on uav multi source remote sensing |
| topic | Bare soil moisture content soil bulk density UAV thermal infrared UAV multi-spectral inversion model |
| url | https://www.tandfonline.com/doi/10.1080/10106049.2024.2448985 |
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