Download srtm indonesia free

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Menyukai ini: Suka Memuat In addition, a binary Data Mask file is available for download, allowing users to identify the areas within each DEM which has been interpolated. For the United States, data was made available at 1-arc second resolution approximately 30m at the equator , but for the rest of the world, the 1-arc second product is degraded to 3-arc seconds approximately 90m at the equator.

The original SRTM data has been subjected to a number of processing steps to provide seamless and complete elevational surfaces for the globe. In its original release, SRTM data contained regions of no-data, specifically over water bodies lakes and rivers , and in areas where insufficient textural detail was available in the original radar images to produce three-dimensional elevational data.

There are a total of 3,, voids accounting for , km2, and in extreme cases, such as Nepal they constitute 9. No-data regions due to insufficient textural detail were especially found in mountainous regions Himalayas and Andes, for example , or desertic regions e. We follow the method described by Reuter et al. The first processing stage involves importing and merging the 1-degree tiles into continuous elevational surfaces in ArcGRID format.

The second process fills small holes iteratively, and the cleaning of the surface to reduce pits and peaks. The third stage then interpolates through the holes using a range of methods.

The method used is based on the size of the hole, and the landform that surrounds it. This dataset is very detailed along shorelines and contains all small islands. More information about this dataset is available in USGS c. This method produces a smooth elevational surface of no-data regions. Whilst micro-scale topographic variation is not captured using this method, most macro-scale features are captured in small-intermediate sized holes.

Jarvis et al. They find an average vertical error of just 5m in interpolated regions when compared with a DEM derived from cartographic maps, though the maximum error stretches to m in a region with approximately m elevation.

When hydrological models are applied to the interpolated DEM and the cartographic DEM, little difference is found in hydrological response in terms of overland flow and discharge. The method presented here for filling in the no-data holes in the original SRTM release is by no means the only method available. Martin Gamache has since produced some detailed analysis of the data offered here by the CSI, concluding that the hole-filling algorithm is quite successful in representing broad-scale patterns in topography in data holes.

CIAT have processed this data to provide seamless continuous topography surfaces. Areas with regions of no data in the original SRTM data have been filled using interpolation methods described by Reuter et al.

Users should acknowledge CIAT as the source used in the creation of any reports, publications, new datasets, derived products, or services resulting from the use of this dataset. CIAT also request reprints of any publications and notification of any redistributing efforts. For commercial access to the data, send requests to Andy Jarvis. CIAT shall not be liable for incidental, consequential, or special damages arising out of the use of any data.