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Toward forest dynamics’ systematic knowledge: concept study of a multi-sensor visually tracked rover including a new insect radar for high-accuracy robotic monitoring
Forest dynamics research is crucial in understanding the global carbon cycle and supporting various scales of forest decision-making, management, and conservation. Recent advancements in robotics and computing can be leveraged to address the need for systematic forest monitoring. We propose a co...
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| Autoren: | , , |
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| Format: | Artikel |
| Sprache: | Englisch |
| Veröffentlicht: |
Philipps-Universität Marburg
2023
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| Schlagworte: | |
| Online Zugang: | PDF-Volltext |
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| Zusammenfassung: | Forest dynamics research is crucial in understanding the global carbon cycle and
supporting various scales of forest decision-making, management, and
conservation. Recent advancements in robotics and computing can be
leveraged to address the need for systematic forest monitoring. We propose a
common autonomous sensor box platform that enables seamless data
integration from multiple sensors synchronized using a time stamp–based
mechanism. The platform is designed to be open-source–oriented, ensuring
interoperability and interchangeability of components. The sensor box, designed
for stationary measurements, and the rover, designed for mobile mapping, are
two applications of the proposed platform. The compact autonomous sensor
box has a low-range radar that enables high-detail surveillance of nocturnal
insects and small species. It can be extended to monitor other aspects, such as
vegetation, tree phenology, and forest floor conditions. The multi-sensor visually
tracked rover concept also enhances forest monitoring capabilities by enabling
complex phenology monitoring. The rover has multiple sensors, including
cameras, lidar, radar, and thermal sensors. These sensors operate
autonomously and collect data using time stamps, ensuring synchronized data
acquisition. The rover concept introduces a novel approach for achieving
centimeter-accuracy data management in undercanopy forest conditions. It
utilizes a prism attached to the rover, which an oriented robotic total station
automatically tracks. This enables precise positioning of the rover and accurate
data collection. A dense control network is deployed to ensure an accurate
coordinate transfer from reference points to the rover. The demonstrated
sample data highlight the effectiveness and high potential of the proposed
solutions for systematic forest dynamics monitoring. These solutions offer a
comprehensive approach to capturing and analyzing forest data, supporting
research and management efforts in understanding and conserving
forest ecosystems. |
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| Beschreibung: | Gefördert durch den Open-Access-Publikationsfonds der UB Marburg. |
| DOI: | 10.3389/fevo.2023.1214419 |