Evaluating the Potential of UAVs for Monitoring Fine-Scale Restoration Efforts in Hydroelectric Reservoirs
The construction of hydroelectric dams leads to substantial land-cover alterations, particularly through the removal of vegetation in wetland and valley areas. This results in exposed sediment that is susceptible to erosion, potentially leading to dust storms. While the reintroduction of vegetation...
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MDPI AG
2025-07-01
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| Series: | Drones |
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| Online Access: | https://www.mdpi.com/2504-446X/9/7/488 |
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| author | Gillian Voss Micah May Nancy Shackelford Jason Kelley Roger Stephen Christopher Bone |
| author_facet | Gillian Voss Micah May Nancy Shackelford Jason Kelley Roger Stephen Christopher Bone |
| author_sort | Gillian Voss |
| collection | DOAJ |
| description | The construction of hydroelectric dams leads to substantial land-cover alterations, particularly through the removal of vegetation in wetland and valley areas. This results in exposed sediment that is susceptible to erosion, potentially leading to dust storms. While the reintroduction of vegetation plays a crucial role in restoring these landscapes and mitigating erosion, such efforts incur substantial costs and require detailed information to help optimize vegetation densities that effectively reduce dust storm risk. This study evaluates the performance of drones for measuring the growth of introduced low-lying grasses on reservoir beaches. A set of test flights was conducted to compare LiDAR and photogrammetry data, assessing factors such as flight altitude, speed, and image side overlap. The results indicate that, for this specific vegetation type, photogrammetry at lower altitudes significantly enhanced the accuracy of vegetation classification, permitting effective quantitative assessments of vegetation densities for dust storm risk reduction. |
| format | Article |
| id | doaj-art-195c3231a8fd4b51b9e30768a3da36e7 |
| institution | Matheson Library |
| issn | 2504-446X |
| language | English |
| publishDate | 2025-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Drones |
| spelling | doaj-art-195c3231a8fd4b51b9e30768a3da36e72025-07-25T13:20:23ZengMDPI AGDrones2504-446X2025-07-019748810.3390/drones9070488Evaluating the Potential of UAVs for Monitoring Fine-Scale Restoration Efforts in Hydroelectric ReservoirsGillian Voss0Micah May1Nancy Shackelford2Jason Kelley3Roger Stephen4Christopher Bone5Department of Geography, University of Victoria, 3800 Finnerty Road, Victoria, BC V8W 2Y2, CanadaChuCho Environmental, 1116 6 Ave #201, Prince George, BC V2L 3M6, CanadaDepartment of Environmental Sciences, University of Victoria, 3800 Finnerty Road, Victoria, BC V8W 2Y2, CanadaDepartment of Geography, University of Victoria, 3800 Finnerty Road, Victoria, BC V8W 2Y2, CanadaDepartment of Geography, University of Victoria, 3800 Finnerty Road, Victoria, BC V8W 2Y2, CanadaDepartment of Geography, University of Victoria, 3800 Finnerty Road, Victoria, BC V8W 2Y2, CanadaThe construction of hydroelectric dams leads to substantial land-cover alterations, particularly through the removal of vegetation in wetland and valley areas. This results in exposed sediment that is susceptible to erosion, potentially leading to dust storms. While the reintroduction of vegetation plays a crucial role in restoring these landscapes and mitigating erosion, such efforts incur substantial costs and require detailed information to help optimize vegetation densities that effectively reduce dust storm risk. This study evaluates the performance of drones for measuring the growth of introduced low-lying grasses on reservoir beaches. A set of test flights was conducted to compare LiDAR and photogrammetry data, assessing factors such as flight altitude, speed, and image side overlap. The results indicate that, for this specific vegetation type, photogrammetry at lower altitudes significantly enhanced the accuracy of vegetation classification, permitting effective quantitative assessments of vegetation densities for dust storm risk reduction.https://www.mdpi.com/2504-446X/9/7/488LiDARphotogrammetrydust storm mitigationecological restoration |
| spellingShingle | Gillian Voss Micah May Nancy Shackelford Jason Kelley Roger Stephen Christopher Bone Evaluating the Potential of UAVs for Monitoring Fine-Scale Restoration Efforts in Hydroelectric Reservoirs Drones LiDAR photogrammetry dust storm mitigation ecological restoration |
| title | Evaluating the Potential of UAVs for Monitoring Fine-Scale Restoration Efforts in Hydroelectric Reservoirs |
| title_full | Evaluating the Potential of UAVs for Monitoring Fine-Scale Restoration Efforts in Hydroelectric Reservoirs |
| title_fullStr | Evaluating the Potential of UAVs for Monitoring Fine-Scale Restoration Efforts in Hydroelectric Reservoirs |
| title_full_unstemmed | Evaluating the Potential of UAVs for Monitoring Fine-Scale Restoration Efforts in Hydroelectric Reservoirs |
| title_short | Evaluating the Potential of UAVs for Monitoring Fine-Scale Restoration Efforts in Hydroelectric Reservoirs |
| title_sort | evaluating the potential of uavs for monitoring fine scale restoration efforts in hydroelectric reservoirs |
| topic | LiDAR photogrammetry dust storm mitigation ecological restoration |
| url | https://www.mdpi.com/2504-446X/9/7/488 |
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