利用无人机评估自然和半自然地区的植物生物多样性

Dragomir D. Sângeorzan, I. Rotar
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引用次数: 0

摘要

在信息丰富的时代,智慧已经成为一种稀缺资源。对生物多样性的探索和测量产生了大量的信息,这些信息按照生命本身的模式分成了许多类别和类型。我们的目标是通过使用低海拔、低成本的地球观测技术(如小型空中无人机)来评估绘制林地、草原、沼泽地和其他与保护相关的自然和半自然区域的植物多样性的潜力,这些技术可以捕获可以绘制和分析的图像。由于这项技术是新的,发展迅速,我们将搜索限制在2012-2019年之间发表的研究。我们已经在林业、农林复合、园艺、草原、生态修复等领域找到了应用。在技术进步方面,新的硬件组件和摄像头以及新的软件工具利用无人机的能力来提供更多数量和质量的信息。在开发低成本无人机技术以促进更好的生物多样性保护结果方面,人们做出了有希望的努力。在分析方面,软件工具也在不断改进,以利用计算能力和人工智能编程的提高。我们的研究结果可以作为生物多样性保护的低成本远程检测的介绍,无人机通过增加信息量,准确性和自动化分析的便利性,在监测栖息地方面具有优势。
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Evaluating Plant Biodiversity in Natural and Semi‑Natural Areas with the Help of Aerial Drones
In the era of abundant information, wisdom has become a scarce resource. Exploration and measurement of biodiversity yield copious amounts of information fragmented into numerous categories and types, following the pattern of life itself. We aim to review the potential of charting the plant diversity of woodlands, grasslands, marshlands, and other natural and semi-natural areas relevant to conservation by using low-altitude, low-cost, Earth Observation technology, such as small aerial drones, that captures images which can be mapped and analyzed. As this technology is new and quickly evolving, we limited the search to published research between 2012-2019. We have found applications for forestry, agro-forestry, horticulture, grasslands, ecological restoration, and other areas. In terms of technological progress, new hardware components and cameras and new software tools leverage drones’ power to deliver a greater quantity and quality of information. There are promising efforts to develop low-cost drone technology that facilitate better biodiversity conservation results. For analysis, software tools are also improving to take advantage of increases in computing power and artificial intelligence programming. Our findings serve as an introduction to low-cost teledetection for biodiversity conservation, with drones providing an advantage in monitoring habitats by increasing information quantity, accuracy, and ease of analysis with the aid of automation.
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