%0 Conference Proceedings
%4 sid.inpe.br/marte2/2017/10.27.13.11.44
%2 sid.inpe.br/marte2/2017/10.27.13.11.45
%@isbn 978-85-17-00088-1
%F 59772
%T Modelagem do conhecimento aplicada à análise da vegetação
%D 2017
%A Cintra, Danielle Pereira,
%A Fernandes, Manoel do Couto,
%@electronicmailaddress daniellecintra@id.uff.br
%E Gherardi, Douglas Francisco Marcolino,
%E Aragão, Luiz Eduardo Oliveira e Cruz de,
%B Simpósio Brasileiro de Sensoriamento Remoto, 18 (SBSR)
%C Santos
%8 28-31 maio 2017
%I Instituto Nacional de Pesquisas Espaciais (INPE)
%J São José dos Campos
%P 3507-3514
%S Anais
%1 Instituto Nacional de Pesquisas Espaciais (INPE)
%X The significant forest fragmentation present in the Atlantic Forest, caused by human or natural actions, results in massive changes in ecosystems and the impossibility of permanence and survival of many species. Then it becomes necessary studies on the structure and distribution of forest remnants, with purpose of concrete actions, especially in areas considered at risk. The aim of this work is to contribute to a method for evaluate forest fragments by determining the vegetation structure quality, through knowledge modeling with the support of geoecology and Geographic object-based image analysis (GEOBIA) using the river basin Cuiaba, Petropolis, RJ as a model area. For the development of the methodology were used one WorldView-II image, a Digital Elevation Model Hydrologically Consistent (MDEHC) and vector data of the study site at 1:10.000. The application of normalized difference vegetation index (NDVI) was used in order to delimitate forest fragments The Geoecological variables were generated to help the evaluation of the vegetation structure quality, taking into account the field sampling. With the view to modeling the vegetation structure quality in InterIMAGE software was performed the average value of NDVI and annual global radiation (Wh/m2), presented with best results. All analyzed fragments showed more than 50% of their areas with medium quality vegetation, and only three fragments showed high quality areas, ranging from 7.3 to 19.4%. These data are compatible with field sampling, demonstrating the potential of the methodology used that can be replicated to other areas.
%9 Floresta e outros tipos de vegetação
%@language pt
%3 59772.pdf