Mapping the chlorophyll-a horizontal gradient in a cascading reservoirs system using MSI Sentinel-2A images
| Autor: | Thanan Rodrigues, Luiz Rotta, Caroline Ribeiro de Andrade, Enner Alcântara, Alisson Fernando Coelho do Carmo, Fernanda Watanabe, Nariane Bernardo, Ana Carolina Campos Gomes |
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| Přispěvatelé: | Universidade Estadual Paulista (Unesp), Science and Technology from Pará State |
| Rok vydání: | 2019 |
| Předmět: |
Inland waters
Atmospheric Science Chlorophyll a 010504 meteorology & atmospheric sciences Multispectral image Aerospace Engineering Soil science 01 natural sciences Algal bloom chemistry.chemical_compound 0103 physical sciences 010303 astronomy & astrophysics Image resolution 0105 earth and related environmental sciences Trophic level Multispectral images Atmospheric correction Astronomy and Astrophysics Geophysics chemistry Space and Planetary Science Cascade Bio-optics Spatial ecology General Earth and Planetary Sciences Environmental science |
| Zdroj: | Scopus Repositório Institucional da UNESP Universidade Estadual Paulista (UNESP) instacron:UNESP |
| ISSN: | 0273-1177 |
| DOI: | 10.1016/j.asr.2019.04.035 |
| Popis: | Made available in DSpace on 2019-10-06T16:30:00Z (GMT). No. of bitstreams: 0 Previous issue date: 2019-08-01 Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) In this work, we investigated the trophic gradient in three reservoirs cascading in Tietê River, Southeast Brazil, based on their chlorophyll-a (chl a) concentration. The goal of this study was to identify spatial patterns in the chl a distribution, which are associated with the filtration process caused by reservoir cascade. Hence, maps of chl a content were developed considering a short time series of MSI Sentinel-2A images (2016–2018). A chl a prediction algorithm was applied to images, whose calibration was done from data collected during a severe drought (2014), which led to intense harmful algal blooms (HABs) and after the drought (2016). The outcomes showed that 20 m spatial resolution of MSI Sentinel-2A images are suitable in estimating pigment concentration in small and middle reservoirs. In addition, the Sen2cor atmospheric correction tool exhibited good performance in removing the scattering effects. Its application in retrieving the chl a content also presented good results. Besides reservoir order in the cascade, the storage system showed to be a factor that also affects the trophic state in downstream impoundments. Department of Cartography Faculty of Sciences and Technology São Paulo State University (UNESP), Rua Roberto Simonsen 305 Department of Environmental Engineering Institute of Science and Technology São Paulo State University (UNESP), Rodovia Presidente Dutra, km 137.8 Federal Institute of Education Science and Technology from Pará State, BR 316, km 61 Department of Cartography Faculty of Sciences and Technology São Paulo State University (UNESP), Rua Roberto Simonsen 305 Department of Environmental Engineering Institute of Science and Technology São Paulo State University (UNESP), Rodovia Presidente Dutra, km 137.8 FAPESP: 2012/19821-1 FAPESP: 2015/18525-8 FAPESP: 2015/21586-9 CNPq: 400881/2013-6 CNPq: 472131/2012-5 CNPq: 482605-8 |
| Databáze: | OpenAIRE |
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