@Article{RudorffGalvNovo:2009:ReFlWa,
               author = "Rudorff, Conrado Moraes and Galv{\~a}o, Lenio Soares and Novo, 
                         Evlyn M{\'a}rcia Le{\~a}o de Moraes",
          affiliation = "undefined and {Instituto Nacional de Pesquisas Espaciais (INPE)} 
                         and {Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "Reflectance of floodplain waterbodies using EO-1 Hyperion data 
                         from high and receding flood periods of the Amazon River",
              journal = "International Journal of Remote Sensing",
                 year = "2009",
               volume = "30",
               number = "10",
                pages = "2713--2720",
                month = "May",
                 note = "Setores de Atividade: Pesca, Aq{\"u}icultura e Atividades dos 
                         Servi{\c{c}}os Relacionados Com Estas Atividades. and 
                         Informa{\c{c}}{\~o}es Adicionais: The potential of Hyperion 
                         images acquired on September 2001 (receding flood period of the 
                         Amazon River) and June 2005 (high flood) was investigated for 
                         reflectance characterization of selected Amazon floodplain 
                         waterbodies using a linear spectral mixture model. Results showed 
                         the ability of Hyperion to measure adequately major variation of 
                         water reflectance spectral features in response to the annual 
                         flood pulse of the Amazon River. Mixture model fraction values 
                         were correlated with measured inorganic suspended solids (ISS) and 
                         not correlated with chlorophyll (Chl) in the high flood period. 
                         Inspection of the fractions across the two images expressed 
                         variation in water composition. Small changes in ISS- and 
                         Chl-bearing water fractions between the images indicated 
                         relatively spectrally stable conditions for low (Tapaj{\'o}s 
                         River and Lake Juruparipucu) and high (Amazon River) turbidity 
                         waterbodies. Large changes indicated reflectance variation in some 
                         lakes when the water receded due to algal blooms (Lake Curumu) and 
                         sediment re-suspension in shallow regions (Lake Aritapera). 
                         Although not all water constituents were modelled adequately for 
                         quantification purposes, spectral mixture modelling is still an 
                         interesting approach for spectral-temporal reflectance 
                         characterization of Amazonian floodplains with hyperspectral 
                         data..",
             keywords = "Algal blooms, Amazon floodplain, Amazon river, Flood periods, 
                         Flood pulse, Flood-plains, Hyperion, Hyperspectral Data, Linear 
                         spectral mixture model, Mixture model, Sediment resuspension, 
                         Spectral conditions, Spectral feature, Spectral mixture, Suspended 
                         solids, Water composition, Water constituents, Water fraction, 
                         Water reflectances, Waterbodies, Banks (bodies of water), 
                         Chlorophyll, Lakes, Mixtures, Porphyrins, Rivers, Turbidity, 
                         Reflection, flood frequency, floodplain, image analysis, 
                         measurement method, modeling, satellite data, spectral 
                         reflectance, Amazon River, South America, algae, Hyperion.",
             abstract = "The potential of Hyperion images acquired on September 2001 
                         (receding flood period of the Amazon River) and June 2005 (high 
                         flood) was investigated for reflectance characterization of 
                         selected Amazon floodplain waterbodies using a linear spectral 
                         mixture model. The results show the ability of Hyperion to measure 
                         adequately the major variation in water reflectance spectral 
                         features in response to the annual flood pulse of the Amazon 
                         River. Mixture model fraction values were correlated with measured 
                         inorganic suspended solids (ISS) but not with chlorophyll (Chl) in 
                         the high flood period. Inspection of the fractions across the two 
                         images revealed variation in water composition. Small changes in 
                         ISS\‐ and Chl\‐bearing water fractions between the 
                         images indicated relatively stable spectral conditions for low 
                         (Tapaj{\'o}s River and Lake Juruparipucu) and high (Amazon River) 
                         turbidity waterbodies. Large changes indicated reflectance 
                         variation in some lakes when the water receded due to algal blooms 
                         (Lake Curumu) and sediment resuspension in shallow regions (Lake 
                         Aritapera). Although not all water constituents were modelled 
                         adequately for quantification purposes, spectral mixture modelling 
                         is still an interesting approach for spectraltemporal reflectance 
                         characterization of Amazonian floodplains with hyperspectral 
                         data.",
                  doi = "10.1080/01431160902755320",
                  url = "http://dx.doi.org/10.1080/01431160902755320",
                 issn = "0143-1161",
                label = "lattes: 9857505876280820 3 RudorffGalvNovo:2009:ReFlWa",
             language = "en",
        urlaccessdate = "17 maio 2024"
}