Increasing disaster awareness of the community by flood potential mapping of densely-populated urban river watershed in south and west Jakarta with LIDAR data segmentation

Lestari Margatama, Silvia Salmi Al-Hikmah, Indra Riyanto, Dwi Pebrianti, Luhur Bayuaji, Dodi Sudiana, Josaphat Tetuko Sri Sumantyo

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

Degradation of environment quality is currently the prime cause of the recent occurrence of natural disasters; it also contributes in the increase of the area that is prone to natural disasters. This research is intended to map the flood potential area of Pesanggrahan river in DKI Jakarta by segmenting the Digital Elevation Model derived from LIDAR data. The objective of this segmentation is to find the watershed lines of the DEM image. Data processing in this research is using LIDAR data which take the ground surface data, which is overlaid with Jakarta river map and Next, the data is then segmented the image. The expected result of the research is the flood potential area information, especially along the Pesanggrahan river in South Jakarta.

Original languageEnglish
Title of host publicationProceedings of 4th IEEE International Conference on Applied System Innovation 2018, ICASI 2018
EditorsArtde Donald Kin-Tak Lam, Stephen D. Prior, Teen-Hang Meen
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages370-373
Number of pages4
ISBN (Electronic)9781538643426
DOIs
Publication statusPublished - 22 Jun 2018
Event4th IEEE International Conference on Applied System Innovation, ICASI 2018 - Chiba, Japan
Duration: 13 Apr 201817 Apr 2018

Publication series

NameProceedings of 4th IEEE International Conference on Applied System Innovation 2018, ICASI 2018

Conference

Conference4th IEEE International Conference on Applied System Innovation, ICASI 2018
CountryJapan
CityChiba
Period13/04/1817/04/18

Keywords

  • Digital Elevation Model
  • Digital Surface Model
  • Flood mapping
  • LIDAR
  • Urban flood potential
  • image segmentation

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