Estimating chlorophyll-A concentration in the Caspian Sea from MODIS images using artificial neural networks
| Autor: | Hajar Sadat Alizadeh Moghadam, Seyed Hamidreza Toliati, Mohammadreza Hajbabaie, Siamak Boudaghpour |
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| Rok vydání: | 2019 |
| Předmět: |
Chlorophyll a
chemistry.chemical_compound Environmental Engineering 010504 meteorology & atmospheric sciences chemistry Artificial neural network 0211 other engineering and technologies Environmental science 02 engineering and technology 01 natural sciences 021101 geological & geomatics engineering 0105 earth and related environmental sciences Remote sensing |
| Zdroj: | Environmental Engineering Research. 25:515-521 |
| ISSN: | 2005-968X 1226-1025 |
| Popis: | Nowadays, due to various pollution sources, it is essential for environmental scientists to monitor water quality. Phytoplanktons form the end of the food chain in water bodies and are one of the most important biological indicators in water pollution studies. Chlorophyll-A, a green pigment, is found in all phytoplankton. Chlorophyll-A concentration indicates phytoplankton biomass directly. Therefore, Chlorophyll-A is an indirect indicator of pollutants, including phosphorus and nitrogen, and their refinement and control are important. The present study, Moderate Resolution Imaging Spectroradiometer (MODIS) satellite images were used to estimate the chlorophyll-A concentration in southern coastal waters in the Caspian Sea. For this purpose, Multi-layer perceptron neural networks (NNs) were applied which contained three and four feed-forward layers. The best three-layer NN has 15 neurons in its hidden layer and the best four-layer one has 5 in each. The three- and four- layer networks both resulted in similar root mean square errors (RMSE), 0.1(μgl), however, the four-layer NNs proved superior in terms of R2 and also required less training data. Accordingly, a four-layer feed-forward NN with 5 neurons in each hidden layer, is the best network structure for estimating Chlorophyll-A concentration in the southern coastal waters of the Caspian Sea. |
| Databáze: | OpenAIRE |
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