Simulation of spectral bands of the MERIS sensor to estimate chlorophyll-a concentrations in a reservoir of the semi-arid region
Nowadays, the monitoring of water is essential for the sustainability and better management of water resources. The use of remote sensing data is important, since it allows evaluation of dynamic problems in aquatic systems, such as the eutrophication of bodies of water and suspended sediment. The ai...
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Universidade Federal de Roraima
2016-07-01
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| Series: | Agro@mbiente On-line |
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| Online Access: | https://revista.ufrr.br/agroambiente/article/view/3482 |
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| author | Fernando Bezerra Lopes Evlyn Márcia Leão de Moraes Novo Cláudio Clemente Faria Barbosa Eunice Maia de Andrade Rafael Damiati Ferreira |
| author_facet | Fernando Bezerra Lopes Evlyn Márcia Leão de Moraes Novo Cláudio Clemente Faria Barbosa Eunice Maia de Andrade Rafael Damiati Ferreira |
| author_sort | Fernando Bezerra Lopes |
| collection | DOAJ |
| description | Nowadays, the monitoring of water is essential for the sustainability and better management of water resources. The use of remote sensing data is important, since it allows evaluation of dynamic problems in aquatic systems, such as the eutrophication of bodies of water and suspended sediment. The aim of this study was to estimate chlorophyll-a concentrations in a reservoir of the semi-arid region of Brazil using simulated orbital-sensor data, as an aid in the management of water resources. The study area corresponded to the Orós reservoir, in the State of Ceará, Brazil. Water samples for analysis of the chlorophyll-a and measurements of the spectral radiance of the aquatic system were collected from 20 points. The radiance was measured by spectroradiometer. The data were collected in June and August of 2011. The model using three bands of the MERIS sensor (7, 9 and 10) presented an R2 of 0.84. For the two-band model (7 and 9), the value of R2 was 0.85. The waters of the Orós reservoir were all classified as eutrophic. The main optically active component in modelling the shape of the spectra was chlorophyll-a. The models showed a mean absolute error (MAE) of 3.45 and 3.61 μg L-1 for the three- and two-band models respectively. The models displayed high coefficients of determination, i.e. the simulations show the feasibility of estimating chlorophyll-a concentration from the data of the MERIS orbital sensor. |
| format | Article |
| id | doaj-art-54e287ebbf724b7c89890d80e1e71c7f |
| institution | Kabale University |
| issn | 1982-8470 |
| language | English |
| publishDate | 2016-07-01 |
| publisher | Universidade Federal de Roraima |
| record_format | Article |
| series | Agro@mbiente On-line |
| spelling | doaj-art-54e287ebbf724b7c89890d80e1e71c7f2025-02-04T15:01:48ZengUniversidade Federal de RoraimaAgro@mbiente On-line1982-84702016-07-01102Simulation of spectral bands of the MERIS sensor to estimate chlorophyll-a concentrations in a reservoir of the semi-arid regionFernando Bezerra Lopes0Evlyn Márcia Leão de Moraes Novo1Cláudio Clemente Faria Barbosa2Eunice Maia de Andrade3Rafael Damiati Ferreira4Universidade Federal do Ceará - UFCInstituto Nacional de Pesquisas Espaciais - INPEInstituto Nacional de Pesquisas Espaciais - INPEUniversidade Federal do Ceará - UFCInstituto Brasileiro de Geografia e Estatística – IBGENowadays, the monitoring of water is essential for the sustainability and better management of water resources. The use of remote sensing data is important, since it allows evaluation of dynamic problems in aquatic systems, such as the eutrophication of bodies of water and suspended sediment. The aim of this study was to estimate chlorophyll-a concentrations in a reservoir of the semi-arid region of Brazil using simulated orbital-sensor data, as an aid in the management of water resources. The study area corresponded to the Orós reservoir, in the State of Ceará, Brazil. Water samples for analysis of the chlorophyll-a and measurements of the spectral radiance of the aquatic system were collected from 20 points. The radiance was measured by spectroradiometer. The data were collected in June and August of 2011. The model using three bands of the MERIS sensor (7, 9 and 10) presented an R2 of 0.84. For the two-band model (7 and 9), the value of R2 was 0.85. The waters of the Orós reservoir were all classified as eutrophic. The main optically active component in modelling the shape of the spectra was chlorophyll-a. The models showed a mean absolute error (MAE) of 3.45 and 3.61 μg L-1 for the three- and two-band models respectively. The models displayed high coefficients of determination, i.e. the simulations show the feasibility of estimating chlorophyll-a concentration from the data of the MERIS orbital sensor.https://revista.ufrr.br/agroambiente/article/view/3482Continental water. Monitoring. Remote sensing. |
| spellingShingle | Fernando Bezerra Lopes Evlyn Márcia Leão de Moraes Novo Cláudio Clemente Faria Barbosa Eunice Maia de Andrade Rafael Damiati Ferreira Simulation of spectral bands of the MERIS sensor to estimate chlorophyll-a concentrations in a reservoir of the semi-arid region Agro@mbiente On-line Continental water. Monitoring. Remote sensing. |
| title | Simulation of spectral bands of the MERIS sensor to estimate chlorophyll-a concentrations in a reservoir of the semi-arid region |
| title_full | Simulation of spectral bands of the MERIS sensor to estimate chlorophyll-a concentrations in a reservoir of the semi-arid region |
| title_fullStr | Simulation of spectral bands of the MERIS sensor to estimate chlorophyll-a concentrations in a reservoir of the semi-arid region |
| title_full_unstemmed | Simulation of spectral bands of the MERIS sensor to estimate chlorophyll-a concentrations in a reservoir of the semi-arid region |
| title_short | Simulation of spectral bands of the MERIS sensor to estimate chlorophyll-a concentrations in a reservoir of the semi-arid region |
| title_sort | simulation of spectral bands of the meris sensor to estimate chlorophyll a concentrations in a reservoir of the semi arid region |
| topic | Continental water. Monitoring. Remote sensing. |
| url | https://revista.ufrr.br/agroambiente/article/view/3482 |
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