2019
DOI: 10.3390/s19214634
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Monitoring Water-Soil Dynamics and Tree Survival Using Soil Sensors under a Big Data Approach

Abstract: The high importance of green urban planning to ensure access to green areas requires modern and multi-source decision-support tools. The integration of remote sensing data and sensor developments can contribute to the improvement of decision-making in urban forestry. This study proposes a novel big data-based methodology that combines real-time information from soil sensors and climate data to monitor the establishment of a new urban forest in semi-arid conditions. Water-soil dynamics and their implication in … Show more

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Cited by 5 publications
(2 citation statements)
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“…GI designs that provide ample soil volumes minimize compaction and encourage the formation of microbiological−especially mycorrhizal−communities beneficial to the health of trees (Calvo-Polanco et al, 2008 offer protection against the harmful effects of salt contamination. Ongoing monitoring of soil environments adjacent to the trees, both to appraise performance and help direct maintenance activities in the face of changing conditions, is an important investment in the long-term success of tree plantings and GI more generally (Pascual et al, 2019).…”
Section: A Toolbox To Support the Co-management Of Winter De-icing Op...mentioning
confidence: 99%
“…GI designs that provide ample soil volumes minimize compaction and encourage the formation of microbiological−especially mycorrhizal−communities beneficial to the health of trees (Calvo-Polanco et al, 2008 offer protection against the harmful effects of salt contamination. Ongoing monitoring of soil environments adjacent to the trees, both to appraise performance and help direct maintenance activities in the face of changing conditions, is an important investment in the long-term success of tree plantings and GI more generally (Pascual et al, 2019).…”
Section: A Toolbox To Support the Co-management Of Winter De-icing Op...mentioning
confidence: 99%
“…Consequently, FDR-based and capacitance sensors are the most widely used in SWC sensor networks both at the plot (Pascual et al 2019) and catchment scales (Bogena et al 2010). Recently, an increase in the deployment of inexpensive and stand-alone sensors in ecological research studies are already contributing to databases linked to biogeography and plant traits that can be used to develop valuable neural network models to predict soil conditions (Hashimoto et al 2015).…”
Section: Soil Conditionsmentioning
confidence: 99%