Does drone-facilitated revegetation work? A case study from Taiwan
Unmanned aerial vehicle (UAV) or drone technology has gained significant traction in ecological restoration projects, particularly in revegetation efforts aimed at stabilizing degraded landscapes. Despite this growing interest, empirical data on the effectiveness of drone-based reseeding...
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Academia.edu Journals
2025-04-01
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| Series: | Academia Environmental Sciences and Sustainability |
| Online Access: | https://www.academia.edu/128682560/Does_drone_facilitated_revegetation_work_A_case_study_from_Taiwan |
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| author | Maria Gomez Saldarriaga Marcus Lee Samantha Farquhar |
| author_facet | Maria Gomez Saldarriaga Marcus Lee Samantha Farquhar |
| author_sort | Maria Gomez Saldarriaga |
| collection | DOAJ |
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Unmanned aerial vehicle (UAV) or drone technology has gained significant traction in ecological restoration projects, particularly in revegetation efforts aimed at stabilizing degraded landscapes. Despite this growing interest, empirical data on the effectiveness of drone-based reseeding remain scarce. This study addresses this gap by investigating a core question—“Does drone-facilitated revegetation work?”—using a case study of three landslide-affected sites in Taiwan that underwent UAV seeding, alongside a fourth, untreated control site. We employed a dual remote-sensing approach using Google Earth Engine (GEE), leveraging both the Normalized Difference Vegetation Index (NDVI) and the Enhanced Vegetation Index (EVI) to quantify vegetation health before and after drone interventions. Results indicate that two of the three treatment sites showed notable improvements in NDVI and EVI, suggesting successful vegetation establishment, whereas the third site exhibited a less favorable response, highlighting the importance of site-specific conditions. The control site underwent only minimal natural recovery by comparison. These findings underscore the potential advantages of UAV-assisted seeding in challenging terrains and offer insights into how future drone-based revegetation projects might be refined for greater efficacy. |
| format | Article |
| id | doaj-art-13eee6da099a40fd8c0376d01a55bb82 |
| institution | DOAJ |
| issn | 2997-6006 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | Academia.edu Journals |
| record_format | Article |
| series | Academia Environmental Sciences and Sustainability |
| spelling | doaj-art-13eee6da099a40fd8c0376d01a55bb822025-08-20T02:39:15ZengAcademia.edu JournalsAcademia Environmental Sciences and Sustainability2997-60062025-04-012210.20935/AcadEnvSci7624Does drone-facilitated revegetation work? A case study from TaiwanMaria Gomez Saldarriaga0Marcus Lee1Samantha Farquhar2Integrated Coastal Sciences PhD program, East Carolina University, Greenville, NC, 27858, USA.Yale College, Yale University, New Haven, CT, 06520, USA.Integrated Coastal Sciences PhD program, East Carolina University, Greenville, NC, 27858, USA. Unmanned aerial vehicle (UAV) or drone technology has gained significant traction in ecological restoration projects, particularly in revegetation efforts aimed at stabilizing degraded landscapes. Despite this growing interest, empirical data on the effectiveness of drone-based reseeding remain scarce. This study addresses this gap by investigating a core question—“Does drone-facilitated revegetation work?”—using a case study of three landslide-affected sites in Taiwan that underwent UAV seeding, alongside a fourth, untreated control site. We employed a dual remote-sensing approach using Google Earth Engine (GEE), leveraging both the Normalized Difference Vegetation Index (NDVI) and the Enhanced Vegetation Index (EVI) to quantify vegetation health before and after drone interventions. Results indicate that two of the three treatment sites showed notable improvements in NDVI and EVI, suggesting successful vegetation establishment, whereas the third site exhibited a less favorable response, highlighting the importance of site-specific conditions. The control site underwent only minimal natural recovery by comparison. These findings underscore the potential advantages of UAV-assisted seeding in challenging terrains and offer insights into how future drone-based revegetation projects might be refined for greater efficacy.https://www.academia.edu/128682560/Does_drone_facilitated_revegetation_work_A_case_study_from_Taiwan |
| spellingShingle | Maria Gomez Saldarriaga Marcus Lee Samantha Farquhar Does drone-facilitated revegetation work? A case study from Taiwan Academia Environmental Sciences and Sustainability |
| title | Does drone-facilitated revegetation work? A case study from Taiwan |
| title_full | Does drone-facilitated revegetation work? A case study from Taiwan |
| title_fullStr | Does drone-facilitated revegetation work? A case study from Taiwan |
| title_full_unstemmed | Does drone-facilitated revegetation work? A case study from Taiwan |
| title_short | Does drone-facilitated revegetation work? A case study from Taiwan |
| title_sort | does drone facilitated revegetation work a case study from taiwan |
| url | https://www.academia.edu/128682560/Does_drone_facilitated_revegetation_work_A_case_study_from_Taiwan |
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