Bins, L.S., Fonseca, L.M.G., Erthal, G.J. and Mitsuo II, F. (1996) Satellite Imagery Segmentation: A Region Growing Approach. Proceedings of VII Simposio Brasileiro de Sensoriamento Remoto, Salvador, 14-19 May 1996, 677-680.

has been cited by the following article:

• TITLE: Satellite Images Applied to Assess the Influence of Amazon River Seasonal Dynamic on the Floodplain Lake Morphology

  AUTHORS: Andreia M. S. França, Teresa G. Florenzano, Evlyn M. L. M. Novo

  KEYWORDS: Amazon River Floodplain, Seasonal Dynamic, Morphological Lakes, Remote Sensing, SAR-JERS-1/GRFM, MOD09-TERRA

  JOURNAL NAME: Open Journal of Ecology, Vol.4 No.13, October 13, 2014

  ABSTRACT: The objective of this study is to assess the influence of the Amazon River seasonal dynamic on floodplain lake morphology. The study area includes the Amazon River floodplain reach encompassed by the Madeira and Tapajós River confluences. Products from the Global Rain Forest Mapping (GRFM) and Moderate Resolution Imaging Spectroradiometer (MODIS) were used to derive variables such as lake size, shape and number. The main steps in the research were: data base implementation, legend definition, image processing (merge, segmentation, classification and edition), morphological mapping and quantitative assessment. Four classes of lacustrine morphology were defined in this study: circular/elliptical, elongated, composite, and dendritic. The result showed that 1) the lake class increased 18.38% from the low- to high-water period; 2) there was a reduction in the total number of lakes from low to high water; 3) the most common lake type was the circular/elliptical; and 4) better results were obtained integrating SAR and optical sensors.