Abstract
The boreal forest ecosystem of Alberta is increasingly affected by the human development related to natural-resource extraction, pipelines, roads and seismic lines. To evaluate the efficiency of restoration treatments, this project aims at the monitoring of physical conditions and human/wildlife presence on a recovered seismic lines ecosystem. For monitoring human and animal uses of industrial linear features, an Internet of Things (IoT) prototype system is developed with open source hardware, and open interoperable IoT standard. We try to build an accurate and cost-effective tool to detect the impact of human footprint and monitor the habit of the wild animal. So we implemented four types of trail counter which is a low-cost, open-source measurement device that counts pedestrian, bikes, all-terrain vehicles (ATVs), cars, and animals on trails, paths, and sidewalks.
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Luo, K., Saeedi, S., Badger, J., Liang, S.: An OGC open standard-based Internet of Things prototype of vegetation recovery monitoring in Northern Alberta background and relevance. In: Spatial Knowledge and Information Canada 2017, Banff, Canada (2017)
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Luo, K., Saeedi, S., Badger, J., Liang, S. (2018). Using the Internet of Things to Monitor Human and Animal Uses of Industrial Linear Features. In: R. Luaces, M., Karimipour, F. (eds) Web and Wireless Geographical Information Systems. W2GIS 2018. Lecture Notes in Computer Science(), vol 10819. Springer, Cham. https://doi.org/10.1007/978-3-319-90053-7_9
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DOI: https://doi.org/10.1007/978-3-319-90053-7_9
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