Measuring stream habitat conditions: can remote sensing substitute for field data?

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dc.creatorSilva, Karina Dias da
dc.creatorVieira, Thiago Bernardi
dc.creatorMatos, Talissa Pio de
dc.creatorJuen, Leandro
dc.creatorFerreira, Juliana Simião
dc.creatorHughes, Robert Mason
dc.creatorMarco Júnior, Paulo De
dc.date.accessioned2023-08-09T15:32:39Z
dc.date.available2023-08-09T15:32:39Z
dc.date.issued2021
dc.description.abstractThe ongoing encroachment of agricultural activities into natural areas is a growing problem for the ecological condition of streams. Stream ecological condition is best measured using both biotic and abiotic parameters that reflect different channel, riparian zone and catchment aspects. Multiple physical-chemical measures of water quality have long been widely used to represent the environmental conditions of water bodies. More recently, physical habitat structure, catchment land use and land cover have been employed to better understand water body conditions. Both water quality and physical habitat structure metrics are usually measured in the field and often have strong predictive power to analyze biological assemblage conditions. On the other hand, remote sensing of catchment land use and land cover provide relatively low-cost environmental information at large spatial extents, minimizing the need for fieldwork and reducing analytical time. Given these considerations, our aim in the present study was to evaluate the degree to which stream environmental conditions could be measured reliably via remote sensing. In particular, we assessed whether a remote sensing index (Normalized Difference Vegetation Index) and land use can be used as reliable surrogates for site habitat condition, channel dimensions, and water quality. We found that our remote sensing variables were not sufficient for predicting stream water quality or habitat structure. Therefore, we recommend using remote sensing indicators only when it is impossible to measure water quality and habitat structure in the field directly.pt_BR
dc.identifier.citationDIAS-SILVA, Karina et al. Measuring stream habitat conditions: can remote sensing substitute for field data? Science of the Total Environment, Amsterdam, v. 788, e147617, 2021. DOI: 10.1016/j.scitotenv.2021.147617. Disponível em: https://www.sciencedirect.com/science/article/pii/S0048969721026887#:~:text=We%20found%20that%20our%20remote,structure%20in%20the%20field%20directly. Acesso em: 25 jul. 2023.pt_BR
dc.identifier.doi10.1016/j.scitotenv.2021.147617
dc.identifier.issn0048-9697
dc.identifier.issne- 1879-1026
dc.identifier.urihttps://www.sciencedirect.com/science/article/pii/S0048969721026887#:~:text=We%20found%20that%20our%20remote,structure%20in%20the%20field%20directly
dc.language.isoengpt_BR
dc.publisher.countryHolandapt_BR
dc.publisher.departmentInstituto de Ciências Biológicas - ICB (RMG)pt_BR
dc.rightsAcesso Restritopt_BR
dc.subjectAquatic ecosystemspt_BR
dc.subjectRiparian vegetationpt_BR
dc.subjectHabitat condition indexpt_BR
dc.subjectChannel characterpt_BR
dc.subjectRemote sensingWater qualitypt_BR
dc.titleMeasuring stream habitat conditions: can remote sensing substitute for field data?pt_BR
dc.typeArtigopt_BR

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