Low‐Altitude UAV Imaging Accurately Quantifies Eelgrass Wasting Disease From Alaska to California
Low‐Altitude UAV Imaging Accurately Quantifies Eelgrass Wasting Disease From Alaska to California
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DOI：
10.1029/2022gl101985
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发表时间：
2023-02
影响因子：
5.2
通讯作者：
Bo Yang;Timothy L. Hawthorne;Lillian R. Aoki;Deanna S. Beatty;Tyler Copeland;Lia K. Domke;G. Eckert;Carla P. Gomes;Olivia J. Graham;C. D. Harvell;Kevin A. Hovel;M. Hessing‐Lewis;Leah M. Harper;Ryan S. Mueller;B. Rappazzo;L. Reshitnyk;J. Stachowicz;F. Tomas;J. E. Duffy
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文献类型：
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作者：
Bo Yang;Timothy L. Hawthorne;Lillian R. Aoki;Deanna S. Beatty;Tyler Copeland;Lia K. Domke;G. Eckert;Carla P. Gomes;Olivia J. Graham;C. D. Harvell;Kevin A. Hovel;M. Hessing‐Lewis;Leah M. Harper;Ryan S. Mueller;B. Rappazzo;L. Reshitnyk;J. Stachowicz;F. Tomas;J. E. Duffy
鳗草是一种重要而广泛的沿海栖息地，其数量的减少与北美太平洋沿岸最近爆发的疾病的浪费有关。这项研究提出了一种利用无人驾驶飞行器(UAV)进行可见光波段低空自主成像的新方法，用于绘制和预测消耗性疾病。我们在阿拉斯加、不列颠哥伦比亚省和加利福尼亚州的多个地点的潮间带鳗草床上进行了无人机测绘和采样。我们设计并实施了无人机低空测绘协议来检测疾病流行情况，并与现场结果进行了验证。我们的分析表明，来自无人机图像的绿叶面积指数是一个强大而显著的(反向)预测因子，可以预测地面测量的枯萎病的空间分布和严重程度，特别是在疾病感染广泛的地区。这项研究强调了一种新的、高效的、便携的方法，可以在不同地理区域和条件下在景观尺度上调查海草病害。
Declines in eelgrass, an important and widespread coastal habitat, are associated with wasting disease in recent outbreaks on the Pacific coast of North America. This study presents a novel method for mapping and predicting wasting disease using Unoccupied Aerial Vehicle (UAV) with low‐altitude autonomous imaging of visible bands. We conducted UAV mapping and sampling in intertidal eelgrass beds across multiple sites in Alaska, British Columbia, and California. We designed and implemented a UAV low‐altitude mapping protocol to detect disease prevalence and validated against in situ results. Our analysis revealed that green leaf area index derived from UAV imagery was a strong and significant (inverse) predictor of spatial distribution and severity of wasting disease measured on the ground, especially for regions with extensive disease infection. This study highlights a novel, efficient, and portable method to investigate seagrass disease at landscape scales across geographic regions and conditions.