@InProceedings{HenebryKux:1996:SpLaCo,
               author = "Henebry, G. M. and Kux, Hermann Johann Heinrich",
                title = "Spatio-temporal land cover dynamics in the Pantanal assessed using 
                         lacunarity analysis on an ERS-1 SAR image time series",
            booktitle = "Proceedings...",
                 year = "1996",
         organization = "Internacional Geoscience and Remote Sensing (IGARSS'96).",
             abstract = "The Pantanal of Brazil, the largest wetland on the planet, is a 
                         disturbance-maintained ecosystem: an unusual topography coupled 
                         with a seasonal cycle of flooding and drydown creates a collection 
                         of landscapes that are environmentally heterogenous in space and 
                         time. Dominant land cover types include freshwater and saline 
                         lakes, periodically inundated grasslands, and forested corridors 
                         and patches. These cover types are highly heterogeneous in spatial 
                         arrangement and in response to inundation. Spatio-temporal 
                         analysis of land cover dynamics from Synthetic Aperture Radar 
                         (SAR)image time series is relatively new research area but one 
                         that will expand given the increasing availability of SAR data. 
                         The Pantanal is well suited to microwave remote sensing because 
                         land cover types can exhibit great contrasts in backscattering. We 
                         have previously shown the efficacy of using lacunarity with SAR 
                         imagery for quantifying land cover dynamics. In this presentation 
                         we extend that analysis to a total of seven ERS-1 SAR images from 
                         December 1992 to November 1993. This period includes both seasonal 
                         inundation followed by a significant climatic drought that 
                         transformed the spatial structure of backscattering across the 
                         landscape. Lacunarity analysis of the SAR image series captures 
                         the spatio-temporal rearranging and illustrates how complex land 
                         cover change can be quantified within a predictive framework.",
  conference-location = "Lincoln, USA",
      conference-year = "27-31 May 1996",
                label = "7889",
           targetfile = "1996_henebry.pdf",
        urlaccessdate = "10 maio 2024"
}