2022
DOI: 10.1016/j.earscirev.2022.104225
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Dense and long-term monitoring of earth surface processes with passive RFID — a review

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Cited by 25 publications
(26 citation statements)
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“…The use of RFID technology in supply/logistics chains is justified. However, the recycling of RFID tags in global logistics needs to be addressed [ 19 ].…”
Section: Discussionmentioning
confidence: 99%
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“…The use of RFID technology in supply/logistics chains is justified. However, the recycling of RFID tags in global logistics needs to be addressed [ 19 ].…”
Section: Discussionmentioning
confidence: 99%
“…The authors found that RFID tags were thrown away by the monitored subjects in the municipal waste. After calculations, it was possible to conclude that Slovak households threw away about 7.867 tons of metal per year [ 18 , 19 ].…”
Section: Introductionmentioning
confidence: 99%
“…In order to increase the size of the monitored areas, long-range tags were installed along with a more sensitive reader (Impinj R700). For even wider areas, new methods are developped based on Unmaned Aerial Vehicle (UAV), as described in [1], [15].…”
Section: G Address Wider Areasmentioning
confidence: 99%
“…Notably in outdoors scenarios, long-term RFID monitoring (months to years) in complex environments that generate high measurement noise, is a current and growing research field. In diverse application domains such as infrastructure monitoring [7], agricultural monitoring [8], [9], social insects behavior monitoring [10], ice formation [11] or snow depth monitoring [12], and of course earth surface processes monitoring [1], robust and synthetic RFID information is needed to ensure optimal data continuity and exploitation. Although not focused on displacement monitoring, these applications would clearly benefit from a data availability increase.…”
Section: Introductionmentioning
confidence: 99%
“…experiments [13]- [21]. In real-life scenarios such as retail environments [2] or outdoor landslide monitoring [1], [22], the acquired data is inevitably noisier and intermittent. At the same time, RFID generally yields abundant and redundant data that can enhance the data from each tag [23], [24].…”
Section: Introductionmentioning
confidence: 99%