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首页> 外文期刊>Ecological informatics: an international journal on ecoinformatics and computational ecology >A framework for using small Unmanned Aircraft Systems (sUASs) and SfM photogrammetry to detect salmonid redds
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A framework for using small Unmanned Aircraft Systems (sUASs) and SfM photogrammetry to detect salmonid redds

机译:使用小型无人机系统(SUASS)和SFM摄影测量的框架来检测鲑鱼redds

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摘要

Salmonid populations are widely distributed globally and are of economic, cultural and ecological importance. Evidence suggests that they are in decline in many parts of the world and one of a number of hypotheses for their decline is the degradation of spawning habitat. Knowledge of spawning sites and their evolution through time is a means of estimating regional population dynamics and sizes. Traditionally, spawning sites have been identified visually. However, this may not allow a precise quantification of the real extent of salmonid reproduction and of its evolution through time (i.e. within the spawning season). This paper develops a framework for using small Unmanned Aircraft Systems (sUASs) and Structure from Motion (SfM) photogrammetry to detect salmonid redds, the nests that are the distinctive footprint of spawning, through analysis of inter-epoch Digital Elevation Models (i.e. DEMs of Difference). SfM-derived DEMs of Difference are an effective tool to investigate spawning because of the distinctive ellipsoidal erosion-deposition pattern of salmonid redds, which discriminates them from other stream-bed elevation changes. The method detects more redds (e.g. those covered by algae or biofilm) compared with classical visual observation, allowing for a better and more rigorous detection of spawning grounds. SfM photogrammetry also provides additional information relevant to understanding salmonid spawning, including redd-density and probable female lengths, without disturbance of the spawning sites.
机译:鲑鱼种群在全球范围内广泛分布,具有经济,文化和生态重要性。证据表明,他们在世界许多地区下降,而他们衰落的许多假设是产卵栖息地的退化。通过时间的产卵网站及其进化的知识是估算区域人口动态和大小的手段。传统上,已经在视觉上识别产卵部位。然而,这可能不允许通过时间(即产卵季节内)精确地量化鲑鱼繁殖的实际程度和其演化。本文开发了一种使用小型无人机系统(SUAS)和Motion(SFM)摄影测量的框架,以检测Salmonid REDDS,这是一种通过间歇性数字高度模型分析(即DEM)区别)。 SFM衍生的差异DEM是调查产卵的有效工具,因为Salmidid REDDS的独特椭圆侵蚀沉积图案,这将它们与其他流床高度变化鉴别。该方法与经典视觉观察相比,检测更多的REDDS(例如,藻类或生物膜覆盖的那些),允许更好,更严格地检测产卵场。 SFM摄影测量还提供了与了解Salmonid产卵的其他相关信息,包括REDD密度和雌性长度,而不会对产卵部位的干扰。

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