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Comparison Between Drainage Network Extracted From Elevation and Surface Models
Authors:
João R. F. Oliveira
Jussara O. Ortiz
Sergio Rosim
Keywords: drainage network; surface model; elevation model.
Abstract:
This paper presents a possible procedure to identify critical regions extracting drainage networks from surface model. Qualitative comparison between drainage network extraction from surface and elevation models, both representing the relief, was done. This comparison highlights the differences between drainages extracted from both models and it shows the same critical patterns. For the study area, the radar data was obtained from airborne SAR AES-2 (AeroSensing) with p-band and x-band sensors. Both the elevation model (p-band) and the surface model (x-band) have 2.5m of horizontal resolution. The elevation model represents the actual relief of the land surface, while the surface model is influenced by the coverage of the Earth's surface. This model may show problems in regions with forest, because the canopy of trees forms the relief. Deforestation also causes errors in the drainage representation, leading to spurious drainage formation. To identify where differences occur, a remote sensing image was used. This image was classified to identify forest regions and places with deforestation occurrence. The drainages were superimposed over the classified image to contextualize the critical areas. The remote sensing image was obtained from the Resourcesat-1 satellite, also known as IRS-P6, built by the Indian Space Research Organization, porting the LISS 3 camera operating in three spectral bands (0.52-0.59µm; 0.62-0.68µm; 0.77-0.86µm), yielding 23.5m of horizontal resolution. The Height Above the Nearest Drainage (HAND) parameter, a useful terrain descriptor, was used to find the critical areas in the surface model. TerraHidro, a hydrological modeling system, was used to extract the drainage networks.
Pages: 89 to 93
Copyright: Copyright (c) IARIA, 2014
Publication date: March 23, 2014
Published in: conference
ISSN: 2308-393X
ISBN: 978-1-61208-326-1
Location: Barcelona, Spain
Dates: from March 23, 2014 to March 27, 2014