@Article{NeeffBigDutFreSan:2005:MaPoPr,
               author = "Neeff, Till and Biging, Gregory and Dutra, Luciano Vieira and 
                         Freitas, Corina da Costa and Santos, Joao Roberto dos",
          affiliation = "Biometry Department, University of Freiburg, Tennenbacher Freiburg 
                         Brsg., Germany and {University of California at Berkeley} and 
                         Instituto Nacional de Pesquisas Espaciais, Divis{\~a}o de 
                         Processamento de Imagens (INPE, DPI) and Instituto Nacional de 
                         Pesquisas Espaciais, Divis{\~a}o de Processamento de Imagens 
                         (INPE, DPI) and Instituto Nacional de Pesquisas Espaciais. 
                         Divis{\~a}o de Sensoriamento Remoto(INPE, DSR)",
                title = "Markov point processes for modeling of spatial forest patterns in 
                         Amazonia derived from interferometric height",
              journal = "Remote Sensing of Environment",
                 year = "2005",
               volume = "97",
               number = "4",
                pages = "484--494",
                month = "Sept.",
                 note = "{Amazon; ecological modeling; interferometric height; K-function; 
                         local maximum filtering; Markov process; pair potential function; 
                         primary forest; radar; remote sensing; spatial point pattern; 
                         Strauss process}",
             keywords = "Amazon, ecological modeling, interferometric height, K-function, 
                         local maximum filtering, Markov process, pair potential function, 
                         primary forest, radar, spatial point pattern, Strauss process.",
             abstract = "The spatial distribution of very large trees in primary Amazon 
                         forest is studied with an indicative data set. Very large trees 
                         with height larger than 30 in are shown to be highly influential 
                         on forest structure, ecology and biomass regime. In particular, 
                         they account for a large portion of total above-ground biomass. 
                         Their spatial patterns are extracted from airborne SAR data, 
                         namely from a digital model- of interferometric forest height, by 
                         an approach of local maximum filtering. The spatial point patterns 
                         describing the distribution of very large trees in the forest 
                         within three sample blocks of 100 ha each are modeled by a series 
                         of Markov point process models. These models are fitted and 
                         assessed by standard spatial statistical methodology. Spatial 
                         distribution is regular, and interaction decreases with distance; 
                         very large trees are shown to exert repulsive interaction with 
                         their neighboring very large trees. The significance of these 
                         results for approaches of quantitative forest assessment in 
                         primary forests in the Brazilian Amazon is discussed. (C) 2005 
                         Elsevier Inc. All rights reserved.",
           copyholder = "SID/SCD",
                  doi = "10.1016/j.rse.2005.05.019",
                  url = "http://dx.doi.org/10.1016/j.rse.2005.05.019",
                 issn = "0034-4257",
             language = "en",
           targetfile = "markov point.pdf",
        urlaccessdate = "20 maio 2024"
}