BibTex Citation Data :
@article{TEKNIK23004, author = {Ayu Safi'i and Prayudha Hartanto}, title = {Digital Terrain Model (DTM) Generation From Light Detection and Ranging (LiDAR) Data By Using Simple Morphological}, journal = {TEKNIK}, volume = {40}, number = {1}, year = {2019}, keywords = {LiDAR; DTM; SMRF}, abstract = { The production of Indonesian Topographic Map (RBI) in the scale of 1:5 0 0 0 takes a long time, especially in the making of contour layer. Contour layer can be extracted from both Aerial Photogrammetry and LiDAR data. Nowadays, LiDAR technology is getting more reliable for DSM. From DSM can be exctracted to get DTM/DEM. DTM/ DEM generation because of its shorter processing time and relatively low cost. The filtering method used in this research is Simple Morphological Filtering (SMRF) which input parameters are: cell size, slope, windows, elevation threshold and scaling factor. Average value of Cohen’s kappa is in the range of 0.4-07 which means that the generated DTM is good. Because of the existence of null values in the generated DTM, the smoothing filters have been applied. The extracted DTM then be compared to in situ data. The RMSE ranged from 0,621 to 0,930 m and LE90 about 1,025-1,605. Those RMSE and LE90 values satisfied the vertical accuracy of the 1: 5000 topographic map and graded as the second and third class in accordance to BIG Regulation No.6 of 2018 as revision of Perka BIG No.15 of 2014 focusing on Technical guidelines for Basic Map Accuracy. }, issn = {2460-9919}, pages = {40--47} doi = {10.14710/teknik.v40i1.23004}, url = {https://ejournal.undip.ac.id/index.php/teknik/article/view/23004} }
Refworks Citation Data :
The production of Indonesian Topographic Map (RBI) in the scale of 1:5000 takes a long time, especially in the making of contour layer. Contour layer can be extracted from both Aerial Photogrammetry and LiDAR data. Nowadays, LiDAR technology is getting more reliable for DSM. From DSM can be exctracted to get DTM/DEM. DTM/ DEM generation because of its shorter processing time and relatively low cost. The filtering method used in this research is Simple Morphological Filtering (SMRF) which input parameters are: cell size, slope, windows, elevation threshold and scaling factor. Average value of Cohen’s kappa is in the range of 0.4-07 which means that the generated DTM is good. Because of the existence of null values in the generated DTM, the smoothing filters have been applied. The extracted DTM then be compared to in situ data. The RMSE ranged from 0,621 to 0,930 m and LE90 about 1,025-1,605. Those RMSE and LE90 values satisfied the vertical accuracy of the 1: 5000 topographic map and graded as the second and third class in accordance to BIG Regulation No.6 of 2018 as revision of Perka BIG No.15 of 2014 focusing on Technical guidelines for Basic Map Accuracy.
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