English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Esta pesquisa utilizou a geometria fractal para analisar o padrao da paisagem de uma Floresta Ombrofila Mista alterada. A partir da imagem classificada do Landsat-5 TM, onde foram definidas 8 classes, determinou-se os indices da dimensao fractal "D" e do parâmetro de Pareto "a" para cada tipologia. Com a analise fractal foi possivel associar o padrao de cobertura com os indices calculados. Os resultados mostraram que os fragmentos de araucaria sao os maiores (apresentando um parâmetro de Pareto "a"@16,5) e tem as bordas mais sinuosas (onde o indice da dimensao fractal "D"@1,42). Os menores fragmentos sao de capoeira ("a"@13,3) e os fragmentos com as bordas mais simples sao da classe agua ("D"@1,25). Este estudo mostrou que a analise fractal fornece indices que diminuem o grau de subjetividade na avaliacao da fragmentacao da paisagem. Use of Fractals in Fragmentation Analysis of Mixed Araucaria Forest by Satellite Images Abstract This research aimed the use of fractals to analyze the landscape pattern of a Mixed Araucaria Forest. From the classified Landsat-5 TM image 8 classes were defined and then the fractal dimension "D" and the Pareto parameter "a", for each class, were determined. By using the fractal analysis it was possible to relate land cover pattern and estimated indices. The results showed that araucaria has the largest fragments (with Pareto parameter "a"@16,5) and more complicated perimeters (where fractal dimension "D"@1,42). The smaller fragments ("a"@13,3) are brush, and water has smoother perimeter ("D"@1,25). This study demonstrated that fractal analysis provide indices to reduce the subjectivity level in the evaluation of the landscape fragmentation.

USO DOS FRACTAIS NA ANÁLISE DA FRAGMENTAÇÃO DE UMA FLORESTA ATRAVÉS DE IMAGENS DE SATÉLITE