2017
DOI: 10.51359/2238-6211.2017.229245
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Uso das imagens SAR R99B para Mapeamento Geomorfológico do Canal do Ariaú no Município de Iranduba-AM

Abstract: O estudo das formas do relevo terrestre teve um avanço expressivo com a utilização das modernas ferramentas de sensoriamento remoto. Na região Amazônica, devido à vasta cobertura de nuvens, bruma e fumaça, quase que o ano inteiro, de certa forma, ocasiona dificuldade para levantamento com sensores ópticos. As melhores imagens para a região, portanto, são as imagens provenientes de radar, pois esse sistema tem a vantagem de adquirir imagens, independente, da presença de nuvens ou fumaça. Desta forma, este traba… Show more

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“…(Tsai et al, 2018;Vega, Hirata, Ventura, & Serrudo, 2018;Xie, Sha, & Yu, 2008). Remote sensing-based mapping is the fastest and most e cient way to quantify and monitor landscape structure (Steinhardt, Herzog, Lausch, Müller, & Lehmann, 1999), both for geomorphological aspects (Silva and Alves 2007;Almeida and Luchiari 2017) and land use (Salovaara, Thessler, Malik, & Tuomisto, 2005;Tsai et al, 2018;Vega et al, 2018). However, mapping based on satellite images presents challenges such as landscape complexity, the choice of input data, the de nition of processing and classi cation techniques, and ambiguous spectral responses (Thenkabail et al 2003;Domaç and Süzen 2006;Lu and Weng 2007;Xie et al 2008).…”
Section: Introductionmentioning
confidence: 99%
“…(Tsai et al, 2018;Vega, Hirata, Ventura, & Serrudo, 2018;Xie, Sha, & Yu, 2008). Remote sensing-based mapping is the fastest and most e cient way to quantify and monitor landscape structure (Steinhardt, Herzog, Lausch, Müller, & Lehmann, 1999), both for geomorphological aspects (Silva and Alves 2007;Almeida and Luchiari 2017) and land use (Salovaara, Thessler, Malik, & Tuomisto, 2005;Tsai et al, 2018;Vega et al, 2018). However, mapping based on satellite images presents challenges such as landscape complexity, the choice of input data, the de nition of processing and classi cation techniques, and ambiguous spectral responses (Thenkabail et al 2003;Domaç and Süzen 2006;Lu and Weng 2007;Xie et al 2008).…”
Section: Introductionmentioning
confidence: 99%