Remote sensing analysis of depositional landforms in alluvial settings: Method development and application to the Taquari megafan, Pantanal (Brazil)


Autoria(s): Zani, Hiran; Assine, Mario Luis; McGlue, Michael Matthew
Contribuinte(s)

Universidade Estadual Paulista (UNESP)

Data(s)

30/09/2013

20/05/2014

30/09/2013

20/05/2014

01/08/2012

Resumo

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Processo FAPESP: 06/02381-8

Processo FAPESP: 07/55987-3

Traditional Shuttle Radar Topography Mission (SRTM) topographic datasets hold limited value in the geomorphic analysis of low-relief terrains. To address this shortcoming, this paper presents a series of techniques designed to enhance digital elevation models (DEMs) of environments dominated by low-amplitude landforms, such as a fluvial megafan system. These techniques were validated through the study of a wide depositional tract composed of several megafans located within the Brazilian Pantanal. The Taquari megafan is the most remarkable of these features, covering an area of approximately 49,000 km(2). To enhance the SRTM-DEM, the megafan global topography was calculated and found to be accurately represented by a second order polynomial. Simple subtraction of the global topography from altitude produced a new DEM product, which greatly enhanced low amplitude landforms within the Taquari megafan. A field campaign and optical satellite images were used to ground-truth features on the enhanced DEM, which consisted of both depositional (constructional) and erosional features. The results demonstrate that depositional lobes are the dominant landforms on the megafan. A model linking baselevel change, avulsion, clastic sedimentation, and erosion is proposed to explain the microtopographic features on the Taquari megafan surface. The study confirms the potential promise of enhanced DEMs for geomorphological research in alluvial settings. (c) 2012 Elsevier B.V. All rights reserved.

Formato

82-92

Identificador

http://dx.doi.org/10.1016/j.geomorph.2012.04.003

Geomorphology. Amsterdam: Elsevier B.V., v. 161, p. 82-92, 2012.

0169-555X

http://hdl.handle.net/11449/25075

10.1016/j.geomorph.2012.04.003

WOS:000305672700007

Idioma(s)

eng

Publicador

Elsevier B.V.

Relação

Geomorphology

Direitos

closedAccess

Palavras-Chave #Megafan #Quaternary #Digital elevation model (DEM) #SRTM #Pantanal
Tipo

info:eu-repo/semantics/article