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Author (up) Mayer, M.; Staab, J.; Udas, E.; Taubenbock, H.,
Title Triggered trail camera images and machine learning based computer vision as alternative to established visitor monitoring approaches? Type
Year 2021 Publication The 10th MMV Conference: Managing outdoor recreation experiences in the Anthropocene – Resources, markets, innovations Abbreviated Journal
Volume MINA fagrapport Issue Pages 296-297
Keywords MMV10
Abstract Visitor monitoring is crucial for many management and valuation tasks in protected areas and other recreational landscapes. Its core data are visitor numbers which are costly to estimate in absence of entry fees. Camera-based approaches have the potential to be both, accurate and deliver comprehensive data about visitor numbers, types and activities. So far, camera-based visitor monitoring is, however, costly due to time consuming manual image evaluation (Miller et al. 2017). To overcome this limitation, we deployed a convolutional neural network (CNN) and compared its hourly counts against existing visitor counting methods such as manual in-situ counting, a pressure sensor, and manual camera image evaluations.
Call Number Serial 4332
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Author (up) Udas, E., Sacher, P., Mayer, M., Meyerhoff, J., Haider, W.
Title Towards a carbon-neutral university: Assessing the recreational value of a university forest and the tradeoffs with other ecosystem services Type
Year 2016 Publication Monitoring and Management of Visitor Flows in Recreational and Protected Areas – ABSTRACT BOOK Abbreviated Journal
Volume MMV 8 - Proceedings Issue Pages 92-95
Keywords MMV8
Abstract In our research, we aim to assess tradeoffs and synergies between major forest ecosystem services for designing a decision support tool that provides anoptimal forest management strategy to offsetunavoidable carbon emissions of the EMAU (Figure). As tradeoffs between forest recreation and carbon offsetting were largely unknown for the EMAU forests due to lack of informationon public preferences, it was necessary to conduct visitor monitoring and recreational preference surveys.
Call Number Serial 3888
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