Arid
DOI10.5935/1806-6690.20210028
Modelling chlorophyll-a concentrations in a continental aquatic ecosystem of the Brazilian semi-arid region based on remote sensing
Lopes, Fernando Bezerra; Faria Barbosa, Claudio Clemente; Lao de Moraes Novo, Evlyn Marcia; Sander de Carvalho, Lino Augusto; de Andrade, Eunice Maia; Teixeira, Adunias dos Santos
通讯作者Lopes, FB (corresponding author), Univ Fed Ceara UFC, Dept Engn Agr, Av Mister Hull,2977,Campus Pici,Bloco 804, BR-60450760 Fortaleza, Ceara, Brazil.
来源期刊REVISTA CIENCIA AGRONOMICA
ISSN0045-6888
EISSN1806-6690
出版年2021
卷号52期号:2
英文摘要Remote-sensing data are essentialto evaluate dynamic processes suchas eutrophication and increases in the concentration of suspended sediments in continental aquatic systems. The aim of this study, therefore, was to develop models to estimate chlorophylla concentrations from remote-sensing data in continental waters of the Brazilian semi-arid region. The study area corresponds to the Oros reservoir, located in the state of Ceara. The models were developed based on measurements taken at 20 sampling points. Water samples were collected from the reservoir to i) analyse the chlorophyll-a, electrical conductivity, pH and turbidity; ii) take optical measurements in situ of water transparency and spectral radiance. Radiance measurements were carried out using an ASD FieldSpec (R) 3 Hi-Res spectroradiometer. The spectral data were later transformed into reflectance values and used to test the performance of several models found in the literature for estimating chlorophyll-a. The results showed that for the three-band model, the maximum value for the coefficient of determination (R-2), of 0.88, was obtained using the lambda(1) = 660 nm, lambda(2) = 690 nm and lambda(3) = 717 nm spectral bands. The model employing two spectral bands presented the best performance (R-2 = 0.87) in the lambda(1) = 660 nm and lambda(2) = 690 nm bands. An absolute mean error of 5.35 and 5.00 mu g L-1 was found for the three- and two-band models respectively. The developed models are reliable, showing that chlorophyll-a concentrations can be quantified from remote-sensing field data with a high degree of accuracy.
英文关键词Surface reservoirs Models Remote quantification Eutrophication
类型Article
语种英语
开放获取类型gold
收录类别SCI-E
WOS记录号WOS:000685205700001
WOS关键词WATER-QUALITY ; STATE
WOS类目Agriculture, Multidisciplinary
WOS研究方向Agriculture
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/364531
作者单位[Lopes, Fernando Bezerra; Teixeira, Adunias dos Santos] Univ Fed Ceara UFC, Dept Engn Agr, Av Mister Hull,2977,Campus Pici,Bloco 804, BR-60450760 Fortaleza, Ceara, Brazil; [Faria Barbosa, Claudio Clemente; Lao de Moraes Novo, Evlyn Marcia] Inst Nacl Pesquisas Espaciais INPE, Av Astronautas 1758, BR-12200243 Sao Jose Dos Campos, SP, Brazil; [Sander de Carvalho, Lino Augusto] Univ Fed Rio de Janeiro, Dept Meteorol, BR-21941916 Rio De Janeiro, RJ, Brazil; [de Andrade, Eunice Maia] Univ Fed Rural SemiArido UFERSA, Bolsista PQ-1A, Mossore, RN, Brazil
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Lopes, Fernando Bezerra,Faria Barbosa, Claudio Clemente,Lao de Moraes Novo, Evlyn Marcia,et al. Modelling chlorophyll-a concentrations in a continental aquatic ecosystem of the Brazilian semi-arid region based on remote sensing[J],2021,52(2).
APA Lopes, Fernando Bezerra,Faria Barbosa, Claudio Clemente,Lao de Moraes Novo, Evlyn Marcia,Sander de Carvalho, Lino Augusto,de Andrade, Eunice Maia,&Teixeira, Adunias dos Santos.(2021).Modelling chlorophyll-a concentrations in a continental aquatic ecosystem of the Brazilian semi-arid region based on remote sensing.REVISTA CIENCIA AGRONOMICA,52(2).
MLA Lopes, Fernando Bezerra,et al."Modelling chlorophyll-a concentrations in a continental aquatic ecosystem of the Brazilian semi-arid region based on remote sensing".REVISTA CIENCIA AGRONOMICA 52.2(2021).
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