algorithm atmospheric correction backscattering Barra Bonita bio-optical cascading clorophyl coefficient concentration dados hidroacústicos data quality datasets geoestatística imagens inland water landsat mapeamento nova avanhadava parametrization particle phytoplankton reservoir São Paulo Sensoriamento Remoto Submerged aquatic vegetation sugarcane total suspended matter tropical reservoir TSM visual analytics
2016 |
![]() @article{Alcantara2016, title = {Estimating total suspended matter using the particle backscattering coefficient: results from the Itumbiara hydroelectric reservoir (Goiás State, Brazil)}, author = {Enner Herenio de Alcântara and Marcelo Curtarelli and José Stech}, doi = {10.1080/2150704X.2015.1137646}, year = {2016}, date = {2016-01-01}, journal = {Remote Sensing Letters}, volume = {7}, number = {4}, pages = {397--406}, abstract = {ABSTRACTIn this study, a quasi-analytical algorithm (QAA)-based model was parameterized using remote-sensing reflectance (Rrs, units in sr-1), total absorption coefficient (at) and total suspended matter (TSM) concentration. The model was based on the particle backscattering at 561 nm (bbp(561)) and was derived from the QAA and TSM concentration. The aim of this work was to parameterize a QAA-based model to estimate the TSM concentration using the Landsat-8 Operational Land Imager (OLI) sensor in the Itumbiara hydroelectric reservoir, Brazil. The results demonstrated that the calibrated model}, keywords = {backscattering, coefficient, Goiás, Itumbiara, particle, reservoir, total suspended matter, TSM}, pubstate = {published}, tppubtype = {article} } ABSTRACTIn this study, a quasi-analytical algorithm (QAA)-based model was parameterized using remote-sensing reflectance (Rrs, units in sr-1), total absorption coefficient (at) and total suspended matter (TSM) concentration. The model was based on the particle backscattering at 561 nm (bbp(561)) and was derived from the QAA and TSM concentration. The aim of this work was to parameterize a QAA-based model to estimate the TSM concentration using the Landsat-8 Operational Land Imager (OLI) sensor in the Itumbiara hydroelectric reservoir, Brazil. The results demonstrated that the calibrated model |
![]() @article{doi:10.1080/23729333.2016.1179864, title = {Spatiotemporal total suspended matter estimation in Itumbiara reservoir with Landsat-8/OLI images}, author = {Enner Herenio de Alcântara and Marcelo Curtarelli and Milton Kampel and José Stech}, doi = {10.1080/23729333.2016.1179864}, year = {2016}, date = {2016-01-01}, journal = {International Journal of Cartography}, volume = {2}, number = {2}, pages = {148--165}, abstract = {ABSTRACTThe transparency of water is affected by the amount of sunlight available, suspended particles and dissolved solids such as colored dissolved organic material present in the water column. High concentrations of total suspended matter (TSM) reduce water clarity, which can affect photosynthesis of submerged aquatic vegetation, thereby affecting oxygen production which is essential to aquatic organisms at upper levels in the food chain. The aim of this work is to evaluate the use of Landsat-8 Operational Land Imager (OLI) sensor to estimate TSM concentrations in the Itumbiara hydroelectric reservoir, Midwest Brazil (1825' S, 4906' W). Concurrent proximal remote-sensing and limnological data were collected in May and September 2009, acquired between 10:00 and 14:00 (Brazil time UTC-3) to provide representative daily readings. In situ above-water radiometric data were used to simulate remote-sensing reflectance (Rrs) for the Landsat-8/OLI spectral bands. TSM empirical models were derived from Landsat-8/OLI simulated spectral bands. The data set acquired in September 2009 was used to derive the models and the data collected in May 2009 was used for validation. To assess the similarities and differences between measured and model derived TSM concentrations, two statistical indicators were calculated. The model with lowest error was applied to selected Landsat-8/OLI images. Preliminary results showed that the model with lowest error was calibrated using Rrs from bands 2 and 3 as index. The results obtained here show that Landsat-8/OLI sensor has enough sensibility to estimate TSM concentrations in inland waters in Brazil.}, keywords = {imagens, Itumbiara, landsat, spatio-temporal, total suspended matter, TSM}, pubstate = {published}, tppubtype = {article} } ABSTRACTThe transparency of water is affected by the amount of sunlight available, suspended particles and dissolved solids such as colored dissolved organic material present in the water column. High concentrations of total suspended matter (TSM) reduce water clarity, which can affect photosynthesis of submerged aquatic vegetation, thereby affecting oxygen production which is essential to aquatic organisms at upper levels in the food chain. The aim of this work is to evaluate the use of Landsat-8 Operational Land Imager (OLI) sensor to estimate TSM concentrations in the Itumbiara hydroelectric reservoir, Midwest Brazil (1825' S, 4906' W). Concurrent proximal remote-sensing and limnological data were collected in May and September 2009, acquired between 10:00 and 14:00 (Brazil time UTC-3) to provide representative daily readings. In situ above-water radiometric data were used to simulate remote-sensing reflectance (Rrs) for the Landsat-8/OLI spectral bands. TSM empirical models were derived from Landsat-8/OLI simulated spectral bands. The data set acquired in September 2009 was used to derive the models and the data collected in May 2009 was used for validation. To assess the similarities and differences between measured and model derived TSM concentrations, two statistical indicators were calculated. The model with lowest error was applied to selected Landsat-8/OLI images. Preliminary results showed that the model with lowest error was calibrated using Rrs from bands 2 and 3 as index. The results obtained here show that Landsat-8/OLI sensor has enough sensibility to estimate TSM concentrations in inland waters in Brazil. |