کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
83557 158727 2012 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Topodata: Brazilian full coverage refinement of SRTM data
موضوعات مرتبط
علوم زیستی و بیوفناوری علوم کشاورزی و بیولوژیک جنگلداری
پیش نمایش صفحه اول مقاله
Topodata: Brazilian full coverage refinement of SRTM data
چکیده انگلیسی

This work presents the selection of a set of geostatistical coefficients suitable for a unified SRTM data refinement from 3″ to 1″ through kriging over the entire Brazilian territory. This selection aimed at data potential for geomorphometric derivations, given by the preservation of detailed geometric characteristics of the resulting digital elevation models (DEM), which are sensitive to refining procedures. The development contained a long-term experimentation stage, when data refinement through kriging was locally developed to support distinct regional projects, followed by a unified selection stage, where the acquired experience was applied to select a single and unified interpolation scheme. In this stage, the selected geostatistical models with promising performances were tested for unified refinement on 40 Brazilian areas with distinct geological settings. Tested areas encompass reliefs varying from mountainous to plain. The effects of data preparation were observed on the perception of patterns (texture and roughness), as well as of singularities (edges, peaks, thalwegs etc.). Results were evaluated mainly through the examination of shaded reliefs, transects and perspectives observed in different scales. Terrains with low slopes and small amplitudes had their DEM promptly affected by the refining methods, as opposed to mountainous terrains. The evaluation, unambiguously confirmed by all consulted interpreters, converged into a refining model with outstanding performance in all tested conditions.


► Kriging produce varied refining effects according to the applied geostatistical coefficients.
► Low terrain features are notably sensitive to the geostatistical models in SRTM data refining.
► A selected set of coefficients was suitable to refine SRTM data in varied topographic conditions.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Applied Geography - Volume 32, Issue 2, March 2012, Pages 300–309
نویسندگان
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