TEKNIK PENYARINGAN DATA MODEL PERMUKAAN DIGITAL MENJADI DATA MODEL TERAIN DIGITAL PADA AREA VEGETASI DAN AREA PEMUKIMAN
| Main Authors: | , MONZERI DESILVA, , Dr. Catur Aries Rokhmana, ST., MT. |
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| Format: | Thesis NonPeerReviewed |
| Terbitan: |
[Yogyakarta] : Universitas Gadjah Mada
, 2014
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| Subjects: | |
| Online Access: |
https://repository.ugm.ac.id/129655/ http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=70050 |
Daftar Isi:
- Aerial photogrametry is one of methods to produce digital elevation model data. Nowaday, almost aerial photogrametry use image matching technique to make digital elevation model data. The main problem that is arise on processing image matching is that the product result that is still on data digital surface model (MPD) format, in fact, mostly of map users use digital terrain model data (MTD). To produce digital terrain model data, filtering the digital surface model data from aerial photo is needed to do by using slope based filtering mode. This slope based filtering mode is used to filter digital surface model of Kentungan area to become digital terrain model data. The first step is to choose two tipes of area digital surface model data area of Kentungan will be filtered, namely vegetation and urban areas. Both digital surface model data are exported to xyz data format, so the data can be processed in Saga gis 2.1.0 software using slope based filtering method. This slope based filtering method remove height point data from digital surface model data that don�t represent technique terrain height point data. The result of research shows that digital terrain data from slope based filtering technique result on urban areas data is less accurate compared to vegetation areas on Kentunga. It is indicated by the presence of a high point after the terrain is filtered repeatedly. Analysis of the results is also performed visually on Global Mapper 13.2 software 3- dimensional model on Saga gis software 2.1.0. Filtering data digital surface model is also analyzed numerically by calculating statistics such as the highest point, the point of lows and the high point of the average data before and after filtered. The data obtained by the reduction of vegetation area represents a high point of 10 558 meters of residential areas and the reduction obtained high point of 7,847 meters. Key word : digital surface model, digital terrain model, slope based filtering.