author = "Botha, Elizabeth J. and Anstee, Janet M. and Sagar, Stephen and 
                         Lechmann, Eric and Medeiros, Thais Andrade Galv{\~a}o de",
          affiliation = "{CSIRO Oceans \& Atmosphere} and {CSIRO Oceans \& Atmosphere} 
                         and {Geoscience Australia} and {CSIRO Data61} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)}",
                title = "Classification of Australian waterbodies across a wide range of 
                         optical water types",
              journal = "Remote Sensing",
                 year = "2020",
               volume = "12",
               number = "18",
                pages = "e3018",
                month = "Sept.",
             abstract = "Baseline determination and operational continental scale 
                         monitoring of water quality are required for reporting on marine 
                         and inland water progress to Sustainable Development Goals (SDG). 
                         This study aims to improve our knowledge of the optical complexity 
                         of Australian waters. A workflow was developed to cluster the 
                         modelled spectral response of a range of in situ bio-optical 
                         observations collected in Australian coastal and continental 
                         waters into distinct optical water types (OWTs). Following 
                         clustering and merging, most of the modelled spectra and modelled 
                         specific inherent optical properties (SIOP) sets were clustered in 
                         11 OWTs, ranging from clear blue coastal waters to very turbid 
                         inland lakes. The resulting OWTs were used to classify Sentinel-2 
                         MSI surface reflectance observations extracted over relatively 
                         permanent water bodies in three drainage regions in Eastern 
                         Australia. The satellite data classification demonstrated clear 
                         limnological and seasonal differences in water types within and 
                         between the drainage divisions congruent with general 
                         limnological, topographical, and climatological factors. Locations 
                         of unclassified observations can be used to inform where in situ 
                         bio-optical data acquisition may be targeted to capture a more 
                         comprehensive characterization of all Australian waters. This can 
                         contribute to global initiatives like the SDGs and increases the 
                         diversity of natural water in global databases.",
                  doi = "10.3390/RS12183018",
                  url = "http://dx.doi.org/10.3390/RS12183018",
                 issn = "2072-4292",
             language = "en",
           targetfile = "remotesensing-12-03018-v2.pdf",
        urlaccessdate = "16 abr. 2021"