Monitoring water-soil dynamics and tree survival using soil sensors under a big data approach

Detalhes bibliográficos
Autor(a) principal: Pascual, Adrian
Data de Publicação: 2019
Outros Autores: Rivera, Rafael, Gómez, Rodrigo, Dominguez-Lerena, Susana
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.5/18931
Resumo: Article
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spelling Monitoring water-soil dynamics and tree survival using soil sensors under a big data approachremote sensingurban forestssoil sensoringprecision forestryproximal sensingintegrated systemsArticleThe 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 tree survival were analyzed considering the application of di erent treatment restoration techniques oriented to facilitate the recovery of tree and shrub vegetation in the degraded area. The synchronized data-capturing scheme made it possible to evaluate hourly, daily, and seasonal changes in soil-water dynamics. The spatial variation of soil-water dynamics was captured by the sensors and it highly contributed to the explanation of the observed ground measurements on tree survival. The methodology showed how the e ciency of treatments varied depending on species selection and across the experimental design. The use of retainers for improving soil moisture content and adjusting tree-watering needs was, on average, the most successful restoration technique. The results and the applied calibration of the sensor technology highlighted the random behavior of water-soil dynamics despite the small-scale scope of the experiment. The results showed the potential of this methodology to assess watering needs and adjust watering resources to the vegetation status using real-time atmospheric and soil dataMDPIRepositório da Universidade de LisboaPascual, AdrianRivera, RafaelGómez, RodrigoDominguez-Lerena, Susana2019-12-02T14:42:51Z20192019-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.5/18931engSensors 2019, 19, 463410.3390/s19214634info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-03-06T14:48:27Zoai:www.repository.utl.pt:10400.5/18931Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:03:54.045254Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Monitoring water-soil dynamics and tree survival using soil sensors under a big data approach
title Monitoring water-soil dynamics and tree survival using soil sensors under a big data approach
spellingShingle Monitoring water-soil dynamics and tree survival using soil sensors under a big data approach
Pascual, Adrian
remote sensing
urban forests
soil sensoring
precision forestry
proximal sensing
integrated systems
title_short Monitoring water-soil dynamics and tree survival using soil sensors under a big data approach
title_full Monitoring water-soil dynamics and tree survival using soil sensors under a big data approach
title_fullStr Monitoring water-soil dynamics and tree survival using soil sensors under a big data approach
title_full_unstemmed Monitoring water-soil dynamics and tree survival using soil sensors under a big data approach
title_sort Monitoring water-soil dynamics and tree survival using soil sensors under a big data approach
author Pascual, Adrian
author_facet Pascual, Adrian
Rivera, Rafael
Gómez, Rodrigo
Dominguez-Lerena, Susana
author_role author
author2 Rivera, Rafael
Gómez, Rodrigo
Dominguez-Lerena, Susana
author2_role author
author
author
dc.contributor.none.fl_str_mv Repositório da Universidade de Lisboa
dc.contributor.author.fl_str_mv Pascual, Adrian
Rivera, Rafael
Gómez, Rodrigo
Dominguez-Lerena, Susana
dc.subject.por.fl_str_mv remote sensing
urban forests
soil sensoring
precision forestry
proximal sensing
integrated systems
topic remote sensing
urban forests
soil sensoring
precision forestry
proximal sensing
integrated systems
description Article
publishDate 2019
dc.date.none.fl_str_mv 2019-12-02T14:42:51Z
2019
2019-01-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.5/18931
url http://hdl.handle.net/10400.5/18931
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Sensors 2019, 19, 4634
10.3390/s19214634
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv
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