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Campo DCValorIdioma
dc.creatorRibeiro, Paula Godinho-
dc.creatorMartins, Gabriel Caixeta-
dc.creatorGastauer, Markus-
dc.creatorSilva Junior, Ediu Carlos da-
dc.creatorSantos, Diogo Corrêa-
dc.creatorCaldeira Júnior, Cecílio Frois-
dc.creatorCavalcante, Rosane Barbosa Lopes-
dc.creatorSantos, Douglas Silva dos-
dc.creatorCarneiro, Marco Aurélio Carbone-
dc.creatorValadares, Rafael Borges da Silva-
dc.creatorNascimento Junior, Wilson da Rocha-
dc.creatorOliveira, Guilherme-
dc.creatorSouza Filho, Pedro Walfir Martins e-
dc.creatorRamos, Silvio Junio-
dc.date.accessioned2022-08-31T21:58:20Z-
dc.date.available2022-08-31T21:58:20Z-
dc.date.issued2022-01-
dc.identifier.citationRIBEIRO, P. G. et al. Spectral and Soil Quality Index for Monitoring Environmental Rehabilitation and Soil Carbon Stock in an Amazonian Sandstone Mine. Sustainability, Basel, v. 14, n. 2, 2022. DOI: https://doi.org/10.3390/su14020597.pt_BR
dc.identifier.urihttp://repositorio.ufla.br/jspui/handle/1/54415-
dc.description.abstractRehabilitation is the key factor for improving soil quality and soil carbon stock after mining operations. Monitoring is necessary to evaluate the progress of rehabilitation and its success, but the use of repeated field surveys is costly and time-consuming at a large scale. This study aimed to monitor the environmental/soil rehabilitation process of an Amazonian sandstone mine by applying spectral indices for predicting soil organic carbon (SOC) stock and comparing them to soil quality index. The studied area has different chronological rehabilitation stages: initial, intermediate, and advanced with 2, 10, and 12 years of onset rehabilitation activities, respectively. Non-rehabilitated (NR) and two native forest areas (RA) were used as controls. Soil samples were analyzed for physical, chemical, and biological attributes. After determination of Normalized Difference Vegetation Index and Bare Soil Index, simple regression analysis comparing these indices with SOC stock showed a good fit (R2 = 0.82). Rehabilitated areas presented higher soil quality index (~1.50-fold) and SOC stock (~10.6-fold) than NR; however, they did not differ of RA. The use of spectral indices was effective for monitoring the soil quality in this study, with a positive correlation between the predicted SOC stock and the calculated soil quality index.pt_BR
dc.languageenpt_BR
dc.publisherMultidisciplinary Digital Publishing Institute (MDPI)pt_BR
dc.rightsAttribution 4.0 International*
dc.rightsacesso abertopt_BR
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.sourceSustainabilitypt_BR
dc.subjectDigital mappt_BR
dc.subjectReclaimed mine soilpt_BR
dc.subjectNormalized Difference Vegetation Index (NDVI)pt_BR
dc.subjectBare Soil Index (BSI)pt_BR
dc.subjectTopsoilpt_BR
dc.subjectMapa digitalpt_BR
dc.subjectMineração - Recuperação de áreas degradadaspt_BR
dc.subjectÍndice de Vegetação por Diferença Normalizada (IVDN)pt_BR
dc.subjectÍndice de Solo Expostopt_BR
dc.subjectSolo - Qualidadept_BR
dc.titleSpectral and Soil Quality Index for Monitoring Environmental Rehabilitation and Soil Carbon Stock in an Amazonian Sandstone Minept_BR
dc.typeArtigopt_BR
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