首页    期刊浏览 2024年11月29日 星期五
登录注册

文章基本信息

  • 标题:DETERMINANDO A VARIAÇÃO DO PADRÃO FRACTAL DE REDE DE DRENAGEM UTILIZANDO DADOS SRTM, LASER SCANNING E BASE CARTOGRÁFICA
  • 本地全文:下载
  • 作者:Fernanda Simoni Schuch ; Carlos Loch
  • 期刊名称:Revista Brasileira de Cartografia
  • 印刷版ISSN:0560-4613
  • 电子版ISSN:1808-0936
  • 出版年度:2011
  • 卷号:63
  • 期号:03
  • 出版社:Sociedade Brasileira Cartografia - Geodesia
  • 摘要:This paper goal is to determine and analyze the Cachoeira‟s River Basin and sub-basins drainage network complexity with the calculi of its fractal dimension (Fd). The applied method was the box-counting and the data used to it come from: a aerophotogrametric produced base map (1: 1000 scale), Airborne Laser Scanning Sensor and Shuttle Radar Topography Mission (SRTM). These analyzes were based in the comparison of results obtained determining the fractal dimension of the study area drainage network and its variation. The differences occurred by using different products of the remote sensing, that showed differences to the same drainage network representation, leading to the mean and standard deviation calculation. The results showed a Fd variation between 1,087 and 1,282 to the river basin and between 1,003 and 1,384 to the sub-basins. The analyzes showed that not necessarily the remote sensing product with the highest resolution or scale (laser scanning and base map) provided the highest values of Fd as expected. It reinforces the fact that the variation of Fd values is also function of the process involved to obtain the drainage network itself. At the base map the photointerpretation and cartographic generalization process can influence while, in the laser scanning and SRTM data, it happens because of the number of cells (pixel) used in the mathematical modeling used to extract the drainage network. The analyzed element has multifractal and self-similarity characteristics with a medium complexity and Fd values in a range between expected by a fractal element.
  • 关键词:Keywords: Fractal Dimension, Drainage Network, Laser Scanning, SRTM.
国家哲学社会科学文献中心版权所有