Título:	Comparação dos métodos de classificação por ângulo espectral e distância euclidiana no mapeamento das formas de terreno
Outros títulos:	Comparison between spectral angle mapper and euclidean distance in landform mapping
Autor(es):	Souza, João Paulo Sena Carvalho Júnior, Osmar Abílio de Martins, Éder de Souza Vasconcelos, Vinícius Couto Junior, Antônio Felipe Gomes, Roberto Arnaldo Trancoso Guimarães, Renato Fontes
Assunto:	Paisagens Curvaturas Mapeamento geomorfológico
Data de publicação:	2016
Editora:	União da Geomorfologia Brasileira
Referência:	SOUZA, João Paulo Sena et al. Comparação dos métodos de classificação por ângulo espectral e distância euclidiana no mapeamento das formas de terreno. Revista Brasileira de Geomorfologia, v. 17, n. 3, p. 591-613, 2016. Disponível em: <http://www.lsie.unb.br/rbg/index.php/rbg/article/view/846/553>. Acesso em: 24 jul. 2017. doi: http://dx.doi.org/10.20502/rbg.v17i3.846.
Abstract:	The supervised classifi cation from geomorphometric signatures (AG) is a proceeding that can help landform mapping using similarity or distance measures. This study aims to compare the supervised classifi cation of similarity and distance methods to the landform mapping. The comparison was made in Campo de Instrução de Formosa (GO), divided into the following steps: acquiring HydroSHEDS data, generation of bending images, selection of geomorphometric signatures; landforms classifi cation using the spectral angle mapper (SAM) and Euclidean Distance (DE) methods; comparing the classifi cation using the cross-tabulation matrix, elevation model analysis in 3D, evaluation of the mean and standard deviation of the curvatures for each mapped class, and fi eld observation. Selecting geomorphometric signatures considered the following steps: (a) reduction of geomorphometric attributes the transformation Minimum Noise Fraction (MNF); (B) spatial reduction by the Pixel Purity Index (PPI); and (c) the manual selection by the n-Dimensional Viewer. The classifi cation process took 14 AG describing two behaviors: Type 1 - when the longitudinal curvature has a value greater than the transverse curvature; and Type 2 - when the opposite occurs. The process has been simplifi ed to six landforms classes: Convex/Convex (Cx/Cx); Concave/Convex (Cc/Cx); Concave/Concave (Cc/cc); Concave/Rectilinear (Cc/ Rt); Convex/Rectilinear (Cx/Rt); Rectilinear/Rectilinear (Rt/Rt). In SAM mapping, the predominant landforms are Cc/Rt, Cx/Rt and Cc/Cx, indicating heterogeneity in many transition and concave areas. The classifi cation from DE showed prevalence of rectilinear features (Rt/Rt). However, this FT showed the smallest standard deviations and average values close to zero for all curvatures, indicating that was the most effi cient method for mapping the rectilinear areas.
Licença:	Revista Brasileira de Geomorfologia - This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. Acesso em: 24 jul. 2017.
DOI:	http://dx.doi.org/10.20502/rbg.v17i3.846
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