Acquisition and processing of morphometric parameters derivatives from SRTM model / Aquisição e processamento de dados morfométricos derivados do modelo digital de elevação SRTM

AUTOR(ES)

Samar dos Santos Steiner

DATA DE PUBLICAÇÃO

2007

RESUMO

SRTM data is distributed at horizontal resolution of 1arcsec (aprox. 30m) for areas within the USA and at 3arcsec (aprox. 90m) resolution for the rest of the world. A 90m resolution can be considered suitable for small or medium-scale analysis, but it is too coarse for more detailed purposes. One alternative is to interpolate the SRTM data at a finer resolution; it won?t increase the level of detail of the original DEM, but it will lead to a surface where you find coherence of angular properties (i.e., slope, aspect) between neighbouring pixels, being this an important characteristic when dealing with terrain analysis. This work intends to show how the proper adjustment of variogram and kriging parameters -named the nugget effect and the maximum distance within which values are used in interpolation - can be set to achieve quality results on resampling SRTM data from 3arcsec to 1arcsec. Morphometric analysis is being used as an auxiliary tool in geological studies. Improvement of Geographic Information System (GIS) and availability of near-global digital elevation models (DEMs), have brought fastness and reliability in the assessment of parameters associated with the topographic surface. This work intends to make a comparison between two widely used GIS packages regarding production and manipulation of morphometric data, the Open-Source project GRASS-GIS and the proprietary ESRI ArcGISTM. The morphometric parameters Slope, Aspect, Surface Roughness and Isobase Surface were analyzed. SRTM 3arcsec elevation data was resampled to 1arcsec and used as base for deriving morphometric parameters. Slope and Aspect maps produced by GRASS-GIS and ArcGIS are equivalent. Isobase maps showed significant differences and the main features can be identified in both products. GRASS surface presents smoother forms and contours, while ArcGIS created a surface with noise and several step-like features. This problem can be due to differences of interpolation methods and the spatial distribution of data points, clustered along the stream lines. In GRASS, surface roughness can be easily calculated using a shell script, while in ArcGIS, the user must perform several operations. Unlike the isobase surface maps, roughness maps produced by both software are very similar, as a consequence of the regular distribution of data points used for interpolation. If all factors that intervene in the quality of generated products such as variograma and kriging parameters, DEM resolution, flow accumulation threshold and interpolation method were considered, produced morphometric maps will be equivalent to a map manually interpreted by an expert.

ASSUNTO(S)

morfometria nugget efect efeito pepita srtm morphometric krigagem srtm kriging

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