UAV-Based Soil Water Erosion Monitoring: Current Status and Trends
Soil erosion affects land productivity, water quality, and ecosystem resilience. Traditional monitoring methods are often time-consuming, labor-intensive, and resource-demanding, while unmanned aerial vehicles (UAVs) provide high-resolution, near-real-time data, improving accuracy. This study conduc...
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MDPI AG
2025-04-01
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| Online Access: | https://www.mdpi.com/2504-446X/9/4/305 |
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| author | Beatriz Macêdo Medeiros Bernardo Cândido Paul Andres Jimenez Jimenez Junior Cesar Avanzi Marx Leandro Naves Silva |
| author_facet | Beatriz Macêdo Medeiros Bernardo Cândido Paul Andres Jimenez Jimenez Junior Cesar Avanzi Marx Leandro Naves Silva |
| author_sort | Beatriz Macêdo Medeiros |
| collection | DOAJ |
| description | Soil erosion affects land productivity, water quality, and ecosystem resilience. Traditional monitoring methods are often time-consuming, labor-intensive, and resource-demanding, while unmanned aerial vehicles (UAVs) provide high-resolution, near-real-time data, improving accuracy. This study conducts a bibliometric analysis of UAV-based soil erosion research to explore trends, technologies, and challenges. A systematic review of Web of Science and Scopus articles identified 473 relevant studies after filtering for terms that refer to types of soil erosion. Analysis using R’s bibliometrix package shows research is concentrated in Asia, Europe, and the Americas, with 304 publications following a surge. Multi-rotor UAVs with RGB sensors are the most common. Gully erosion is the most studied form of the issue, followed by landslides, rills, and interrill and piping erosion. Significant gaps remain in rill and interrill erosion research. The integration of UAVs with satellite data, laser surveys, and soil properties is limited but crucial. While challenges such as data accuracy and integration persist, UAVs offer cost-effective, near-real-time monitoring capabilities, enabling rapid responses to erosion changes. Future work should focus on multi-source data fusion to enhance conservation strategies. |
| format | Article |
| id | doaj-art-1ae9012efae64d41a09110d4b43063b1 |
| institution | DOAJ |
| issn | 2504-446X |
| language | English |
| publishDate | 2025-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Drones |
| spelling | doaj-art-1ae9012efae64d41a09110d4b43063b12025-08-20T03:13:47ZengMDPI AGDrones2504-446X2025-04-019430510.3390/drones9040305UAV-Based Soil Water Erosion Monitoring: Current Status and TrendsBeatriz Macêdo Medeiros0Bernardo Cândido1Paul Andres Jimenez Jimenez2Junior Cesar Avanzi3Marx Leandro Naves Silva4Department of Soil Science, Federal University of Lavras, P.O. Box 3037, Lavras 37203-202, MG, BrazilDivision of Plant Sciences and Technology, College of Agriculture, Food, and Natural Resources, University of Missouri, Columbia, MO 65211, USADepartment of Soil Science, Federal University of Lavras, P.O. Box 3037, Lavras 37203-202, MG, BrazilDepartment of Soil Science, Federal University of Lavras, P.O. Box 3037, Lavras 37203-202, MG, BrazilDepartment of Soil Science, Federal University of Lavras, P.O. Box 3037, Lavras 37203-202, MG, BrazilSoil erosion affects land productivity, water quality, and ecosystem resilience. Traditional monitoring methods are often time-consuming, labor-intensive, and resource-demanding, while unmanned aerial vehicles (UAVs) provide high-resolution, near-real-time data, improving accuracy. This study conducts a bibliometric analysis of UAV-based soil erosion research to explore trends, technologies, and challenges. A systematic review of Web of Science and Scopus articles identified 473 relevant studies after filtering for terms that refer to types of soil erosion. Analysis using R’s bibliometrix package shows research is concentrated in Asia, Europe, and the Americas, with 304 publications following a surge. Multi-rotor UAVs with RGB sensors are the most common. Gully erosion is the most studied form of the issue, followed by landslides, rills, and interrill and piping erosion. Significant gaps remain in rill and interrill erosion research. The integration of UAVs with satellite data, laser surveys, and soil properties is limited but crucial. While challenges such as data accuracy and integration persist, UAVs offer cost-effective, near-real-time monitoring capabilities, enabling rapid responses to erosion changes. Future work should focus on multi-source data fusion to enhance conservation strategies.https://www.mdpi.com/2504-446X/9/4/305dronephotogrammetryremote sensingscientometricsoil conservation |
| spellingShingle | Beatriz Macêdo Medeiros Bernardo Cândido Paul Andres Jimenez Jimenez Junior Cesar Avanzi Marx Leandro Naves Silva UAV-Based Soil Water Erosion Monitoring: Current Status and Trends Drones drone photogrammetry remote sensing scientometric soil conservation |
| title | UAV-Based Soil Water Erosion Monitoring: Current Status and Trends |
| title_full | UAV-Based Soil Water Erosion Monitoring: Current Status and Trends |
| title_fullStr | UAV-Based Soil Water Erosion Monitoring: Current Status and Trends |
| title_full_unstemmed | UAV-Based Soil Water Erosion Monitoring: Current Status and Trends |
| title_short | UAV-Based Soil Water Erosion Monitoring: Current Status and Trends |
| title_sort | uav based soil water erosion monitoring current status and trends |
| topic | drone photogrammetry remote sensing scientometric soil conservation |
| url | https://www.mdpi.com/2504-446X/9/4/305 |
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