Scheda di dettaglio – i prodotti della ricerca
| Dato | Valore |
|---|---|
| Title | Recovery of Water Quality and Detection of Algal Blooms in Lake Villarrica through Landsat Satellite Images and Monitoring Data |
| Abstract | Phytoplankton is considered a strong predictor of the environmental quality of lakes, while Chlorophyll-a is an indicator of primary productivity. In this study, 25 LANDSAT images covering the 2014-2021 period were used to predict Chlorophyll-a in the Villarrica lacustrine system. A Chlorophyll-a recovery algorithm was calculated using two spectral indices (FAI and SABI). The indices that presented the best statistical indicators were the floating algal index (R-2 = 0.87) and surface algal bloom index (R-2 = 0.59). A multiparametric linear model for Chlorophyll-a estimation was constructed with the indices. Statistical indicators were used to validate the multiple linear regression model used to predict Chlorophyll-a by means of spectral indices, with the following results: a MBE of 0.136 mu g/L, RMSE of 0.055 mu g/L, and NRMSE of 0.019%. All results revealed the strength of the model. It is necessary to raise awareness among the population that carries out activities around the lake in order for them to take policy actions related to water resources in this Chilean lake. Furthermore, it is important to note that this study is the first to address the detection of algal blooms in this Chilean lake through remote sensing. |
| Source | Water (Basel) 15 (7) |
| Keywords | water qualityspectral indiceslakesremote sensingChlorophyll-a |
| Journal | Water (Basel) |
| Editor | Molecular Diversity Preservation International, Basel, |
| Year | 2023 |
| Type | Articolo in rivista |
| DOI | 10.3390/rs15071929 |
| Authors | Rodriguez-Lopez, Lien; Duran-Llacer, Iongel; Alvarez, Lisandra Bravo; Lami, Andrea; Urrutia, Roberto |
| Text | 481859 2023 10.3390/rs15071929 ISI Web of Science WOS 000969815200001 water quality spectral indices lakes remote sensing Chlorophyll a Recovery of Water Quality and Detection of Algal Blooms in Lake Villarrica through Landsat Satellite Images and Monitoring Data Rodriguez Lopez, Lien; Duran Llacer, Iongel; Alvarez, Lisandra Bravo; Lami, Andrea; Urrutia, Roberto Univ San Sebastian; Univ Mayor; Univ Concepcion; Inst Water Res IRSA; Univ Concepcion Phytoplankton is considered a strong predictor of the environmental quality of lakes, while Chlorophyll a is an indicator of primary productivity. In this study, 25 LANDSAT images covering the 2014 2021 period were used to predict Chlorophyll a in the Villarrica lacustrine system. A Chlorophyll a recovery algorithm was calculated using two spectral indices FAI and SABI . The indices that presented the best statistical indicators were the floating algal index R 2 = 0.87 and surface algal bloom index R 2 = 0.59 . A multiparametric linear model for Chlorophyll a estimation was constructed with the indices. Statistical indicators were used to validate the multiple linear regression model used to predict Chlorophyll a by means of spectral indices, with the following results a MBE of 0.136 mu g/L, RMSE of 0.055 mu g/L, and NRMSE of 0.019%. All results revealed the strength of the model. It is necessary to raise awareness among the population that carries out activities around the lake in order for them to take policy actions related to water resources in this Chilean lake. Furthermore, it is important to note that this study is the first to address the detection of algal blooms in this Chilean lake through remote sensing. 15 Published version Articolo in rivista Molecular Diversity Preservation International 2073 4441 Water Basel Water Basel Water Basel Water. Basel andrea.lami LAMI ANDREA |