Analysis Of Data Quality Element’s Applicability For Radiometric Measurements In Remote Sensing Of Water: A Case Study In Nova Avanhandava Reservoir, São Paulo, Brazil

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Thanan Rodrigues
Ivana Ivánová
Enner Alcântara
Milton Shimabukuro
Fernanda Watanabe
Luiz Rotta
Nilton Imai
Cláudio Barbosa

Abstract

Information from the spectral properties of natural or artifi cial targets of the Earth’s surface is relevant to the development of bio-optical models that will be applied to satellite images during estimation of the water quality parameters.
For this reason, the radiometric datasets acquired in the fi eld must comply with quality requirements to ensure the
accuracy of the target information. The aim of this study was to analyze the elements of spatial data quality that can
be applied to the radiometric data, as well as proposing a fl owchart for providing the protocols related to the stages
of fi eld planning, acquisition, analysis. Moreover, in this study we analyzed the requirements for metadata applied to
radiometric measurements of water targets. For this, a case study in Nova Avanhandava reservoir, São Paulo State, was
used to demonstrate the mentioned steps, emphasizing as the fi nal product the construction of spectral curves of remote
sensing refl ectance (). As a result we observed that to obtain reliable data, it is recommended to follow the protocols
available for acquisition and analysis of radiometric data, as well as ensure that key information relevant to the field
campaign, the target and the environment are stored.

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How to Cite
RODRIGUES, T.; IVÁNOVÁ, I.; ALCÂNTARA, E.; SHIMABUKURO, M.; WATANABE, F.; ROTTA, L.; IMAI, N.; BARBOSA, C. Analysis Of Data Quality Element’s Applicability For Radiometric Measurements In Remote Sensing Of Water: A Case Study In Nova Avanhandava Reservoir, São Paulo, Brazil. Brazilian Journal of Cartography, [S. l.], v. 67, n. 7, p. 1327–1339, 2019. DOI: 10.14393/rbcv67n7-49204. Disponível em: https://seer.ufu.br/index.php/revistabrasileiracartografia/article/view/49204. Acesso em: 21 nov. 2024.
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